Four edited conference proceedings and book chapters, 346  refereed journal articles published or in press including leading journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI, 2014 IF:5.781), ACM Computing Survey, (5-year IF: 7.85) IEEE Transactions on Image Processing (TIP, 2014 IF: 3.625), IEEE Transactions on Multimedia (TMM, 2014 IF: 1.694), International Journal of Computer Vision (IJCV, 2014 IF: 3.81), IEEE Transactions on Circuit and Systems for Video Technology (TCSVT, 2014 IF: 2.615), Pattern Recognition (PR, 2014 IF: 3.096), Journal of Information Science (2014 IF: 1.158), Signal Processing,  an international journal  of the European Association for Signal Processing (EURASIP, 2014 IF: 2.209), Journal of Computer Vision and Image Understanding (CVIU, 2014 IF: 1.54), Neurocomputing (2014 IF: 2.083), Journal of Visual Communication and Image Representation (2014 IF: 1.218), Pattern Recognition Letters (2014 IF: 1.551), IEEE Multimedia Magazine (2014 IF: 1.767), ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP, IF: 0.904), IEEE Transactions on Computational Biology and Bioinformatics (TCBB, 2014 IF: 1.438). Four other journal articles were published in Chinese.


*Author names in italic in the following paper list are my research advisees or co-advised students.

Citations by Google Scholar

Selected 10 Publications

Publication List by Year

[2024][2023][2022][2021][2020][2019][2018][2017][2016][2015][2014] [2013][2012] [2011] [2010] [2009] [2008] [2007] [2006] [2005] [2004] [2003] [2002] [2001 & before ]

Year 2024

Journal Papers

1. Xin Chen, Xiaoling Deng, Yubin Lan, Yongbing Long, Jian Weng, Zhiquan Liu, and Qi Tian, “Explanatory Object Part Aggregation for Zero-Shot Learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 2, pp: 626-640, February 2024.

2. Chen Gao, Si Liu, Jinyu Chen, Luting Wang, Qi Wu, Bo Li, and Qi Tian, “Room-Object Entity Prompting and Reasoning for Embodied Referring Expression,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 2, pp: 994-1010, February 2024.

3. Tao Yao, Ruxin Wang, Jintao Wang, Ying Li, Jun Yue, Lianshan Yan, and Qi Tian, “Efficient Supervised Graph Embedding Hashing for large-scale cross-media retrieval,” Pattern Recognition, Vol. 145, Issue C, January 2024.

4. Min Wang, Wengang Zhou, Xin Yao, Qi Tian, and Houqiang Li, “Towards Codebook-free Deep Probabilistic Quantization for Image Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 1, pp: 626-640, January 2024.

Conference Papers

1. Yaoming Wang, Jin Li, Xiaopeng Zhang, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, and Qi Tian, “BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation,” The Twelfth International Conference on Learning Representations (ICLR), spotlight, May 7-11, 2024, Vienna Austria.

2. Shikun Sun, Longhui Wei, Zhicai Wang, Zixuan Wang, Junliang Xing, Jia Jia, and Qi Tian, “Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models,” The Twelfth International Conference on Learning Representations (ICLR), poster, May 7-11, 2024, Vienna Austria.

3. Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, and Qi Tian, “Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners,” The Twelfth International Conference on Learning Representations (ICLR), poster, May 7-11, 2024, Vienna Austria.

4. Yuhui Xu, Lingxi Xie, Xiaotao Gu, Xin Chen, Heng Chang, Hengheng Zhang, Zhengsu Chen, Xiaopeng Zhang, and Qi Tian, “QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models,” The Twelfth International Conference on Learning Representations (ICLR), poster, May 7-11, 2024, Vienna Austria.

5. Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, and Qi Tian, “Towards 3D Molecule-Text Interpretation in Language Models,” The Twelfth International Conference on Learning Representations (ICLR), poster, May 7-11, 2024, Vienna Austria.

6. Yabo Zhang, Yuxiang Wei, Dongsheng Jiang, Xiaopeng Zhang, Wangmeng Zuo, and Qi Tian, “ControlVideo: Training-free Controllable Text-to-video Generation,” The Twelfth International Conference on Learning Representations (ICLR), poster, May 7-11, 2024, Vienna Austria.

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Year 2023

Journal Papers

1. Xuemeng Song, Liqiang Nie, Hengtao Shen, Qi Tian, and Hua Huang, “Preface to the Special Issue on Multimodal Learning Integrated with Pre-training Techniques,” International Journal of Software and Informatics, Vol. 13, Issue 2, pp. 139-142, 2023.

2. Zijie Yang, Lingxi Xie, Wei Zhou, Xinyue Huo, Longhui Wei, Jian Lu, Qi Tian, and Sheng Tang, “VoxSeP: Semi-Positive Voxels Assist Self-Supervised 3D Medical Segmentation,” Multimedia Systems, Vol. 29(1), pp. 33-48, 2023.

3. Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang, and Qi Tian, “Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization,” IEEE Transactions on Multimedia (TMM), Vol. 25, pp: 6688-6701, 2023.

4. Shijie Wang, Zhihui Wang, Haojie Li, Jianlong Chang, Wanli Ouyang, and Qi Tian, “Semantic Guided Information Alignment Network for Fine-Grained Image Recognition,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 33, No. 11, pp: 6558-6570, November 2023.

5. Shengping Zhang, Chenyang Wang, Liqiang Nie, Hongxun Yao, Qingming Huang, and Qi Tian, “Correction to: Learning Enriched Hop-Aware Correlation for Robust 3D Human Pose Estimation,” International Journal of Computer Vision (IJCV), Vol. 131, No. 11, pp. 3119, November 2023.

6. Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian, “Accurate medium-range global weather forecasting with 3D neural networks,” Nature, Volume 619, pages: 533–538, 2023.

7. Binghao Liu, Boyu Yang, Lingxi Xie, Ren Wang, Qi Tian, and Qixiang Ye, “Learnable Distribution Calibration for Few-Shot Class-Incremental Learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 10, pp: 12699-12706, October 2023.

8. Peng Zhou, Lingxi Xie, Bingbing Ni, and Qi Tian, “CIPS-3D++: End-to-End Real-Time High-Resolution 3D-Aware GANs for GAN Inversion and Stylization,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 10, pp: 11502-11520, September 2023.

9. Lanfei Wang, Lingxi Xie, Kaili Zhao, Jun Guo, and Qi Tian, “Regularized Differentiable Architecture Search,” IEEE Embedded Systems Letters, Vol. 15, No. 3, pp: 129-132, September 2023.

10. Rui Yan, Lingxi Xie, Jinhui Tang, Xiangbo Shu, and Qi Tian, “HiGCIN: Hierarchical Graph-Based Cross Inference Network for Group Activity Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 6, pp: 6955-6968, August 2023.

11. Junran Peng, Qing Chang, Haoran Yin, Xingyuan Bu, Jiajun Sun, Lingxi Xie, Xiaopeng Zhang, Qi Tian, and Zhaoxiang Zhang, “GAIA-Universe: Everything is Super-Netify,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 10, pp: 11856-11868, August 2023.

12. Lanfei Wang, Lingxi Xie, Kaifeng Bi, Kaili Zhao, Jun Guo, and Qi Tian，“M²NAS: Joint Neural Architecture Optimization System with Network Transmission,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Vol. 42, No. 8, pp: 2631-2642, August 2023.

13. Gaojie Wu, Wei-Shi Zheng, Yutong Lu, and Qi Tian, “PSLT: A Light-Weight Vision Transformer With Ladder Self-Attention and Progressive Shift,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 9, pp: 11120-11135, August 2023.

14. Wei Shen, Zelin Peng, Xuehui Wang, Huayu Wang, Jiazhong Cen, Dongsheng Jiang, Lingxi Xie, Xiaokang Yang, and Qi Tian, “A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 8, pp: 9284-9305, July 2023.

15. Zhiliang Peng, Zonghao Guo, Wei Huang, Yaowei Wang, Lingxi Xie, Jianbin Jiao, Qi Tian, and Qixiang Ye, “Conformer: Local Features Coupling Global Representations for Recognition and Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 8, pp: 9454-9468, July 2023.

16. Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, and Qi Tian, “General Greedy De-Bias Learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 8, pp: 9789-9805, July 2023.

17. Xin Chen, Jian Weng, Xiaoling Deng, Weiqi Luo, Yubin Lan, and Qi Tian, “Feature Distillation in Deep Attention Network Against Adversarial Examples,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.34, No.7, pp. 3691-3705, July 2023.

18. Zhaobo Qi, Shuhui Wang, Chi Su, Li Su, Qingming Huang, and Qi Tian, “Self-Regulated Learning for Egocentric Video Activity Anticipation,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 6, pp: 6715-6730, June 2023.

19. Peng Zhou, Lingxi Xie, Bingbing Ni, Lin Liu, and Qi Tian, “HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 33, No. 5, pp: 2147-2161, May 2023.

20. Yucheng Shi, Yahong Han, Qinghua Hu, Yi Yang, and Qi Tian, “Query-Efficient Black-Box Adversarial Attack With Customized Iteration and Sampling,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 2, pp: 2226-2245, April 2023.

21. Liuqian Wang, Jing Zhang, Jimiao Tian, Jiafeng Li, Li Zhuo, and Qi Tian, “Efficient Fine-Grained Object Recognition in High-Resolution Remote Sensing Images from Knowledge Distillation to Filter Grafting,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), Vol. 61, pp: 1-16, March 2023.

22. Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Zechao Li, Qi Tian, and Qingming Huang, “Entity-Enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 3, pp: 3003-3018, February 2023.

23. Haohang Xu, Xiaopeng Zhang, Hao Li, Lingxi Xie, Wenrui Dai, Hongkai Xiong, and Qi Tian, “Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No. 3, pp: 3753-3767, February 2023.

24. Longhui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, and Qi Tian, “Exploring the Diversity and Invariance in Yourself for Visual Pre-training Task,” Pattern Recognition (PR), Vol. 139, 109437, February 2023.

25. Tao Yao, Lingxi Xie, Wengang Zhou, Houqiang Li, and Qi Tian, “Discrete Robust Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval,” IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 139, 109437, February 2023.

26. Zijie Yang, Yiru Li, Weili Guan, Gang Wang, Ying Li, Lianshan Yan, and Qi Tian, “VoxSeP: semi-positive voxels assist self-supervised 3D medical segmentation.” Multimedia Systems, Vol.35, No.2, pp. 1391-1401, February 2023.

27. Yiyi Zhou, Rongrong Ji, Gen Luo, Xiaoshuai Sun, Jinsong Su, Xinghao Ding, Chia-Wen Lin, and Qi Tian, “A Real-Time Global Inference Network for One-Stage Referring Expression Comprehension,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.34, No.1, pp. 134-143, January 2023.

28. Junqi Zhang, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Jiazheng Xu, Shaoping Ma, and Qi Tian, “User Behavior Simulation for Search Result Re-ranking,” ACM Transactions on Information Systems (TOIS), Vol. 41, Issue 1 pp: 5:1-5:35, January 2023.

29. Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Xin Chen, Qi Tian, and Yanfeng Wang, “Self-Supervised Tumor Segmentation with Sim2Real Adaptation,” IEEE Journal of Biomedical and Health Informatics, Vol.27, No.9, pp. 4373-4384, January 2023.

30. Yuhang Zhang, Xiaopeng Zhang, Jie Li, Robert C. Qiu, Haohang Xu, and Qi Tian, “Semi-Supervised Contrastive Learning with Similarity Co-Calibration,” IEEE Transactions on Multimedia (TMM), Vol. 25, pp: 1749-1759, 2023.

31. Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Deep Graph Convolutional Quantization Networks for Image Retrieval,” IEEE Transactions on Multimedia (TMM), Vol. 25, pp: 2164-2175, 2023.

Conference Papers

1. Shulin Cao, Jiajie Zhang, Jiaxin Shi, Xin Lv, Zijun Yao, Qi Tian, Lei Hou, and Juanzi Li, “Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions,” The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings, December 6 –10, 2023, Singapore.

2. Yaoming Wang, Yuchen Liu, Xiaopeng Zhang, Jin Li, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, and Qi Tian, “VioLET: Vision-Language Efficient Tuning with Collaborative Multi-modal Gradients,” ACM International Conference on Multimedia (ACM MM), October 29-November 3, 2023, Ottawa, Canada.

3. Zixuan Ni, Longhui Wei, Jiacheng Li, Siliang Tang, Yueting Zhuang, and Qi Tian, “Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion,” ACM International Conference on Multimedia (ACM MM), October 29-November 3, 2023, Ottawa, Canada.

4. Shijie Wang, Jianlong Chang, Haojie Li, Zhihui Wang, Wanli Ouyang, and Qi Tian, “Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval,” 2023 Conference on Neural Information Processing Systems (NeurIPS), December 10-16, 2023, New Orleans, USA.

5. Jiazhong Cen, Zanwei Zhou, Jiemin Fang, Chan Yang, Wei Shen, Lingxi Xie, Dongsheng Jiang, Xiaopeng Zhang, and Qi Tian, “Segment Anything in 3D with NeRFs,” 2023 Conference on Neural Information Processing Systems (NeurIPS), December 10-16, 2023, New Orleans, USA.

6. Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, and Qi Tian, “Mode Approximation Makes Good Multimodal Prompts,” 2023 Conference on Neural Information Processing Systems (NeurIPS), December 10-16, 2023, New Orleans, USA.

7. Jin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, and Qi Tian, “AiluRus: A Scalable ViT Framework for Dense Prediction,” 2023 Conference on Neural Information Processing Systems (NeurIPS), December 10-16, 2023, New Orleans, USA.

8. Zelin Peng, Guanchun Wang, Lingxi Xie, Dongsheng Jiang, Wei Shen, and Qi Tian, “USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation,” International Conference on Computer Vision (ICCV), October 2-7, 2023, Pairs, France.

9. Xinyue Huo, Lingxi Xie, Wengang Zhou, Houqiang Li, and Qi Tian, “Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation” International Conference on Computer Vision (ICCV), October 2-7, 2023, Pairs, France.

10. Kun Zhang, Chong Chen, Yuanzhuo Wang, Qi Tian, and Long Bai, “CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case Retrieval,” The 29th ACM SIGKDD conference on knowledge discovery and data mining (KDD), August 6-10, 2023, Long Beach, CA, USA.

11. Zixuan Ni, Longhui Wei, Siliang Tang, Yueting Zhuang, and Qi Tian, “Continual Vision-Language Representation Learning with Off-Diagonal Information” The Fortieth International Conference on Machine Learning (ICML), July 23-29, 2023, Hawaii, USA.

12. Shikun Sun, Longhui Wei, Junliang Xing, Jia Jia, and Qi Tian, “SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation” The Fortieth International Conference on Machine Learning (ICML), July 23-29, 2023, Hawaii, USA.

13. Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, and Qi Tian, “SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval,” Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), July 23-27, 2023, Taipei, Taiwan.

14. Shengjie Ma, Chong Chen, Jiaxin Mao, Qi Tian, Xuhui Jiang, “Session Search with Pre-trained Graph Classification Model,” Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), July 23-27, 2023, Taipei, Taiwan.

15. Chufeng Tang, Lingxi Xie, Xiaopeng Zhang, Xiaolin Hu, and Qi Tian, “Visual Recognition by Request” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June 18-22, 2023.

16. Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, and Qi Tian, “Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition,” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June 18-22, 2023.

17. Shijie Wang, Jianlong Chang, Haojie Li, Zhihui Wang, Wanli Ouyang, and Qi Tian, “Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June 18-22, 2023.

18. Ruipeng Zhang, Qinwei Xu, Jiangchao Yao, Ya Zhang, Qi Tian, and Yanfeng Wang, “Federated Domain Generalization with Generalization Adjustment” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June 18-22, 2023.

19. Chen Ju, Kunhao Zheng, Jinxiang Liu, Peisen Zhao, Ya Zhang, Jianlong Chang, Qi Tian, and Yanfeng Wang, “Distilling Vision-Language Pre-Training to Collaborate with Weakly-Supervised Temporal Action Localization” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June 18-22, 2023.

20. Yunjie Tian, Lingxi Xie, Zhaozhi Wang, Longhui Wei, Xiaopeng Zhang, Jianbin Jiao, Yaowei Wang, Qi Tian, and Qixiang Ye, “Integrally Pre-Trained Transformer Pyramid Networks” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June 18-22, 2023.

21. Jin Li, Yaoming Wang, Xiaopeng Zhang, Yabo Chen, Dongsheng Jiang, Wenrui Dai, Chenglin Li, Hongkai Xiong, and Qi Tian, “Progressive Compressed Auto-Encoder for Self-supervised Representation Learning,” The Eleventh International Conference on Learning Representations (ICLR), Kigali Rwanda, May 1-5, 2023.

22. Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, and Qi Tian, “The KFIoU Loss for Rotated Object Detection,” The Eleventh International Conference on Learning Representations (ICLR), Kigali Rwanda, May 1-5, 2023.

23. Xiaosong Zhang, Yunjie Tian, Lingxi Xie, Wei Huang, Qi Dai, Qixiang Ye, and Qi Tian, “HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer,” The Eleventh International Conference on Learning Representations (ICLR), Kigali Rwanda, May 1-5, 2023.

24. Zijian Zhang, Zhou Zhao, Jun Yu and Qi Tian, “ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories,” The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Washington DC, USA, February 7-14, 2023.

25. Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yan-Feng Wang, and Qi Tian, “Low-Light Video Enhancement with Synthetic Event Guidance,” The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Washington DC, USA, February 7-14, 2023.

26. Ming Tao, Bingkun Bao, Hao Tang, Fei Wu, Longhui Wei, and Qi Tian, “DE-Net: Dynamic Text-guided Image Editing Adversarial Networks,” The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Washington DC, USA, February 7-14, 2023.

27. Shijie Wang, Jianlong Chang, Zhihui Wang, Haojie Li, Wanli Ouyang, and Qi Tian, “Fine-grained Retrieval Prompt Tuning,” The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Washington DC, USA, February 7-14, 2023.

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Year 2022

Journal Papers

1. Lingxi Xie, Xin Chen, Kaifeng Bi, Longhui Wei, Yuhui Xu, Zhengsu Chen, Lanfei Wang, An Xiao, Jianlong Chang, Xiaopeng Zhang, and Qi Tian, “Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap,” ACM Computing Survey, Volume 54, No. 9, 183:1-183:37, December 2022

2. Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, and Qi Tian, “GhostNets on Heterogeneous Devices via Cheap Operations,” International Journal of Computer Vision (IJCV), Vol. 130, No. 4, pp: 1050-1069, December 2022.

3. Rui Yan, Xiangbo Shu, Chengcheng Yuan, Qi Tian, and Jinhui Tang, “Position-Aware Participation-Contributed Temporal Dynamic Model for Group Activity Recognition,” IEEE Trans. on Neural Networks and Learning Systems (TNNLS), Vol. 33, No.12, pp. 7574-7588, December 2022.

4. Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, and Rongrong Ji, “Filter Sketch for Network Pruning,” IEEE Trans. on Neural Networks and Learning Systems (TNNLS), Vol. 33, No.12, pp. 7091-7100, December 2022.

5. Jiaxing Chen, Weishi Zheng, Qize Yang, Jingke Meng, Richang Hong, and Qi Tian, “Deep Shape-Aware Person Re-Identification for Overcoming Moderate Clothing Changes,” IEEE Trans. on Neural Networks and Learning Systems (TNNLS), Vol. 24, pp. 4285-4300, November 2022.

6. Yulin Li, Tianzhu Zhang, Xiang Liu, Qi Tian, Yongdong Zhang, and Feng Wu, “Visible-Infrared Person Re-Identification With Modality-Specific Memory Network,” IEEE Trans. on Image Processing (TIP), Vol. 31, pp. 7165-7178, November 2022.

7. Xinyu Yan, Meijun Sun, Yahong Han, Zheng Wang, and Qi Tian, “Effective Full-scale Detection for Salient Object Based on Condensing-and-filtering Network,” Pattern Recognition, Vol. 131, 108904, November 2022.

8. Shiqing Zhang, Xiaoming Zhao, and Qi Tian, “Spontaneous Speech Emotion Recognition Using Multiscale Deep Convolutional LSTM,” IEEE Transactions on Affective Computing, Vol.13, No.2, pp: 680-688, November 2022.

9. Xinyue Huo, Lingxi Xie, Longhui Wei, Xiaopeng Zhang, Xin Chen, Hao Li, Zijie Yang, Wengang Zhou, Houqiang Li, and Qi Tian, “Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations,” IEEE Transactions on Multimedia (TMM), Vol. 24, pp. 4224-4235, October 2022.

10. Cen Chen, Kenli Li, Xiaofeng Zou, Zhongyao Cheng, Wei Wei, Qi Tian, and Zeng Zeng, “Hierarchical Semantic Graph Reasoning for Train Component Detection,” IEEE Trans. on Neural Networks and Learning Systems (TNNLS), Vol. 33, No.9, pp. 4502-4514, September 2022.

11. Zheng Wang, Pengzhi Wang, Yahong Han, Xue Zhang, Meijun Sun, Qi Tian, “Curiosity-Driven Salient Object Detection with Fragment Attention,” IEEE Trans. on Image Processing (TIP), Vol. 31, pp. 5989-6001, September 2022.

12. Peisen Zhao, Lingxi Xie, Jiajie Wang, Ya Zhang, and Qi Tian, “Progressive Privileged Knowledge Distillation for Online Action Detection,” Pattern Recognition, Vol. 129, 108741, September 2022.

13. Lanfei Wang, Lingxi Xie, Kaili Zhao, Jun Guo, and Qi Tian, “Scalable NAS with Factorizable Architectural Parameters,” Neurocomputing, Vol. 506, pp: 25-36, September 2022.

14. Xueqi Ma, Weifeng Liu, Qi Tian, and Yue Gao, “Learning Representation on Optimized High-Order Manifold for Visual Classification,” IEEE Transactions on Multimedia (TMM), Vol. 24, pp. 3989-4001, August 2022.

15. Peng Zhou, Lingxi Xie, Bingbing Ni, and Qi Tian, “Searching Towards Class-Aware Generators for Conditional Generative Adversarial Networks,” IEEE Signal Processing Letter, Vol.29, pp: 1669-1673, August 2022.

16. Xiujun Shu, Xiao Wang, Xianghao Zang, Shiliang Zhang, Yuanqi Chen, Ge Li, and Qi Tian, “Large-Scale Spatio-Temporal Person Re-Identification: Algorithms and Benchmark,” IEEE Trans. Circuits Syst. Video Technol. (TCSVT), Vol. 32, No 7, pp. 4390-4403, July 2022.

17. Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Deep Enhanced Weakly-Supervised Hashing with Iterative Tag Refinement,” IEEE Transactions on Multimedia (TMM), Vol. 24, pp. 2779-2790, June 2022.

18. Tianliang Zhang, Qixiang Ye, Baochang Zhang, Jianzhuang Liu, Xiaopeng Zhang, and Qi Tian, “Feature Calibration Network for Occluded Pedestrian Detection,” IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No.5, pp. 4151-4163, May 2022.

19. Mingxing Duan, Kenli Li, Qing Liao, and Qi Tian, “DEF-Net: A Face Aging Model by Using Different Emotional Learnings,” IEEE Trans. Circuits Syst. Video Technol. (TCSVT), Vol. 32, No 5, pp. 3012-3022, May 2022.

20. Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, and Qi Tian, “Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 44, No. 6, pp: 3316-3333, May 2022.

21. Chen He, Jing Zhang, Jiacheng Yao, Li Zhuo, and Qi Tian, “Meta-Learning Paradigm and CosAttn for Streamer Action Recognition in Live Video,” IEEE Signal Processing Letter, Vol.29, pp: 1097-1101, May 2022.

22. Zhengsu Chen, Lingxi Xie, Jianwei Niu, Xuefeng Liu, Longhui Wei, and Qi Tian, “Network Adjustment: Channel and Block Search Guided by Resource Utilization Ratio,” International Journal of Computer Vision (IJCV), Vol. 130, No. 3, pp: 820-835, March 2022.

23. Junyi Feng, Songyuan Li, Xi Li, Fei Wu, Qi Tian, Ming-Hsuan Yang, and Haibin Ling, “TapLab: A Fast Framework for Semantic Video Segmentation Tapping Into Compressed-Domain Knowledge,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 44, No. 3, pp: 1591-1603, March 2022.

24. Yang Yang, Junwei Han, Dingwen Zhang, and Qi Tian, “Exploring Rich Intermediate Representations for Reconstructing 3D Shapes from 2D Images,” Pattern Recognition, Vol. 122, 108295, February 2022.

25. Jianing Li, Shiliang Zhang, Qi Tian, Meng Wang, and Wen Gao, “Pose-Guided Representation Learning for Person Re-Identification,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.44, No.2, pp. 622-635, February 2022.

26. Yichao Yang, Ning Zhuang, Bingbing Ni, Jian Zhang, Minghao Xu, Qiang Zhang, Zhang Zheng, Shuo Cheng, Qi Tian, Yi Xu, Xiaokang Yang, and Wenjun Zhang, “Fine-Grained Video Captioning via Graph-based Multi-granularity Interaction Learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 44, No.2, pp. 666-683, February 2022.

27. Peisen Zhao, Lingxi Xie, Ya Zhang, and Qi Tian, “Actionness-Guided Transformer for Anchor-Free Temporal Action Localization,” IEEE Signal Processing Letter, Vol.29, pp: 194-198, 2022.

28. Linghui Li, Yongdong Zhang, Sheng Tang, Lingxi Xie, Xiaoyong Li, and Qi Tian, “Adaptive Spatial Location with Balanced Loss for Video Captioning,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 32, No. 1, pp: 17-30, January 2022.

29. Zijie Zhuang, Longhui Wei, Lingxi Xie, Haizhou Ai, and Qi Tian, “Camera-Based Batch Normalization: An Effective Distribution Alignment Method for Person Re-Identification,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 32, No. 1, pp: 374-387, January 2022.

30. Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Qi Tian, and Min Zhang, “Loss Re-Scaling VQA: Revisiting the Language Prior Problem from a Class-Imbalance View,” IEEE Transactions on Image Processing (TIP), Vol. 31, pp: 227-238, 2022.

31. Song Chen, Jing-Hao Xue, Jianlong Chang, Jianzhong Zhang, Jufeng Yang, and Qi Tian, “SSL++: Improving Self-Supervised Learning by Mitigating the Proxy Task-Specificity Problem,” IEEE Transactions Image Processing (TIP), Vol. 31, pp: 1134-1148, 2022.

32. Donglin Di, Jun Zhang, Fuqiang Lei, Qi Tian, and Yue Gao, “Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole Slide Image,” IEEE Transactions on Image Processing (TIP), Vol. 31, pp: 1149-1160, 2022.

Conference Papers

1. Jiemin Fang, aoran Yi, Xinggang Wang, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Matthias Nießner, and Qi Tian,“Fast Dynamic Radiance Fields with Time-Aware Neural Voxels,” SIGGRAPH Asia 2022, Daegu, South Korea, December 6-9, 2022.  

2. Juncheng Li, Xin He, Longhui Wei, Long Qian, Linchao Zhu, Lingxi Xie, Yueting Zhuang, Qi Tian, and Siliang Tang, “Fine-Grained Semantically Aligned Vision-Language Pre-Training,” Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28-December 9, 2022.

3. Haoran Wei, Xin Chen, Lingxi Xie, and Qi Tian, “Cornerformer: Purifying Instances for Corner-Based Detectors,” 2022 European Conference on Computer Vision (ECCV), Tel-Aviv, October 23-27, 2022.

4. Yabo Chen, Yuchen Liu, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, and Qi Tian, “SdAE: Self-distillated Masked Autoencoder,” 2022 European Conference on Computer Vision (ECCV), Tel-Aviv, October 23-27, 2022.

5. Hengtong Hu, Lingxi Xie, Xinyue Huo, Richang Hong, and Qi Tian, “Vibration-Based Uncertainty Estimation for Learning from Limited Supervision,” 2022 European Conference on Computer Vision (ECCV), Tel-Aviv, October 23-27, 2022.

6. Longhui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, and Qi Tian, “MVP: Multimodality-Guided Visual Pre-training,” 2022 European Conference on Computer Vision (ECCV), Tel-Aviv, October 23-27, 2022.

7. Lin Liu, Lingxi Xie, Xiaopeng Zhang, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, and Qi Tian, “TAPE: Task-Agnostic Prior Embedding for Image Restoration,” 2022 European Conference on Computer Vision (ECCV), Tel-Aviv, October 23-27, 2022.

8. Chufeng Tang, Lingxi Xie, Gang Zhang, Xiaopeng Zhang, Qi Tian, and Xiaolin Hu, “Active Pointly-Supervised Instance Segmentation,” 2022 European Conference on Computer Vision (ECCV), Tel-Aviv, October 23-27, 2022.

9. Bowen Shi, Dongsheng Jiang, Xiaopeng Zhang, Han Li, Wenrui Dai, Junni Zou, Hongkai Xiong, and Qi Tian, “A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining,” 2022 European Conference on Computer Vision (ECCV), Tel-Aviv, October 23-27, 2022.

10. Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, and Ya Zhang, “Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction,” 2022 European Conference on Computer Vision (ECCV), Tel-Aviv, October 23-27, 2022.

11. Liqiang Nie, Leigang Qu, Dai Meng, Min Zhang, Qi Tian, and Alberto Del Bimbo, “Search-Oriented Micro-video Captioning”, ACM International Conference on Multimedia (ACM MM), Best Paper Award, Lisbon, Portugal, October 10-14, 2022.

12. Zijie Yang, Lingxi Xie, Xinyue Huo, Sheng Tang, Qi Tian, and Yongdong Zhang, “Finding the Host from the Lesion by Iteratively Mining the Registration Graph”, ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, October 10-14, 2022.

13. Mingkun Yang, Minghui Liao, Lu Pu, Jing Wang, Shenggao Zhu, Hualin Luo, Qi Tian, and Xiang Bai, “Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition,” ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, October 10-14, 2022.

14. Juncheng Li, Junlin Xie, Linchao Zhu, Long Qian, Siliang Tang, Wenqiao Zhang, Haochen Shi, Shengyu Zhang, Longhui Wei, Qi Tian, and Yueting Zhuang, “Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos,” ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, October 10-14, 2022.

15. Feng Chang, Chaoyi Wu, Yanfeng Wang, Ya Zhang, Xin Chen, and Qi Tian, “Boundary-Enhanced Self-supervised Learning for Brain Structure Segmentation”, 2022 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, September 18-22, 2022

16. Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, and Qi Tian,“HyperDet3D: Learning a Scene-Conditioned 3D Object Detector,” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

17. Zhengcong Fei, Xu Yan, Shuhui Wang, and Qi Tian,“DeeCap: Dynamic Early Exiting for Efficient Image Captioning,” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

18. Xing Nie, Gaofeng Meng, Jianlong Chang, Chunlei Huo, Shiming Xiang, Qi Tian, Zhaoxiang Zhang, and Chunhong Pan,“Vision Prompt Tuning,” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

19. Qing Chang, Junran Peng, Jiajun Sun, Lingxi Xie, Haoran Yin, Qi Tian, and Zhaoxiang Zhang, “DATA: Domain-Aware and Task-Aware Pre-training,” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

20. Yuhang Zhang, Xiaopeng Zhang, Lingxi Xie, Jie Li, Robert C. Qiu, Hengtong Hu, and Qi Tian, “One-bit Active Query with Contrastive Pairs,” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

21. Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, and Qi Tian,“MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens,” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

22. Yadong Ding, Yu Wu, Chengyue Huang, Siliang Tang, Yi Yang, Longhui Wei, Yueting Zhuang, and Qi Tian,“Learning to Learn by Jointly Optimizing Neural Architecture and Weights,” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

23. Xinyue Huo, Lingxi Xie, Hengtong Hu, Wengang Zhou, Houqiang Li, and Qi Tian,“Domain-Agnostic Prior for Unsupervised Transfer Segmentation,” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

24. Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, and Qi Tian,“Wnet: Audio-Guided Video Semantic Segmentation via Wavelet-Based Cross-Modal Denoising Networks,” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

25. Hui Wu, Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li,“Contextual Similarity Distillation for Asymmetric Image Retrieval,” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

26. Sun-Ao Liu, Hongtao Xie, Hai Xu, Yongdong Zhang, and Qi Tian, “Partial Class Activation Attention for Semantic Segmentation,’” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 19-24, 2022.

27. Haohang Xu, Jiemin Fang, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, and Qi Tian “Bag of Instances Aggregation Boosts Self-Supervised Distillation”, 2022 International Conference on Learning Representations (ICLR), virtual conference, Apr 25, 2022.

28. Junqi Zhang, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma, and Qi Tian, “Global or Local: Constructing Personalized Click Models for Web Search”, 2022 International World Wide Web Conferences (WWW), Lyon, France, Apr 25-29, 2022.

29. Lefei Zhang, Shixiang Feng, Yu Wang, Yanfeng Wang, Ya Zhang, Xin Chen, and Qi Tian, “Unsupervised Ensemble Distillation for Multi-Organ Segmentation”, 2022 IEEE International Symposium on Biomedical Imaging (ISBI), Calcutta, India, March 28-31,2022

30. Longhui Wei, Lingxi Xie, Jianzhong He, Xiaopeng Zhang, and Qi Tian, “Can Semantic Labels Assist Self-Supervised Visual Representation Learning?”, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), A virtual Conference, February 22-March 1, 2022.

31. Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Tian, and Qi Tian, “SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers,” Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), A virtual Conference, February 22-March 1, 2022.

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Year 2021

Journal Papers

1. Qiaokang Xie, Wengang Zhou, Guo-Jun Qi, Qi Tian, and Houqiang Li, “Progressive Unsupervised Person Re-Identification by Tracklet Association With Spatio-Temporal Regularization,” IEEE Transactions on Multimedia (TMM), Vol. 23, pp:597-610, 2021.

2. Yuhui Xu, Lingxi Xie, Wenrui Dai, Xiaopeng Zhang, Guo-Jun Qi, Hongkai Xiong, and Qi Tian, “Partially-Connected Neural Architecture Search for Reduced Computational Redundancy,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 43(9): 2953-2970, September 2021.

3. Xiujun Shu, Ge Li, Longhui Wei, Jia-Xing Zhong, Xianghao Zang, Shiliang Zhang, Yaowei Wang, Yongsheng Liang, and Qi Tian, “Diverse Part Attentive Network for Video-based Person Re-identification,” Pattern Recognition Letters, Vol. 149, pp. 17-23, September 2021.

4. Xiujun Shu, Ge Li, Xiao Wang, Weijian Ruan, and Qi Tian, “Semantic-Guided Pixel Sampling for Cloth-Changing Person Re-Identification,” IEEE Signal Processing Letters, Vol. 28:1365-1369, 2021.

5. Jipeng Wu, Rongrong Ji, Jianzhuang Liu, Mingliang Xu, Jiawen Zheng, Ling Shao, and Qi Tian, “Real-time Semantic Segmentation Via Sequential Knowledge Distillation,” Neurocomputing, Vol. 439, pp: 134-145, June 2021.

6. Xin Chen, Lingxi Xie, Jun Wu, and Qi Tian, “Cyclic CNN: Image Classification with Multiscale and Multilocation Contexts,” IEEE Internet of Things Journal, Volume 8(9), pp: 7466-7475, May 2021.

7. Hengheng Zhang, Ying Li, Zijie Zhuang, Lingxi Xie, and Qi Tian, “3D-GAT: 3D-Guided Adversarial Transform Network for Person Re-identification in Unseen Domains,” Pattern Recognition, Vol. 112: 107799, April 2021.

8. Ning Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 31, No. 4, pp: 1580-1592, April 2021.

9. Wenjie Ding, Xing Wei, Rongrong Ji, Xiaopeng Hong, Qi Tian, and Yihong Gong, “Beyond Universal Person Re-Identification Attack,” IEEE Transactions on Information Forensics and Security, Vol. 16, pp: 3442-3455, 2021.

10. Guoli Song, Shuhui Wang, Qingming Huang, and Qi Tian, “Harmonized Multimodal Learning with Gaussian Latent Variable Models,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 43, No. 3, pp: 858-872, March 2021.

11. Yifan Sun, Liang Zheng, Yali Li, Yi Yang, Qi Tian, and Shengjing Wang, “Learning Part-based Convolutional Features for Person Re-Identification,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 43, No. 3, pp: 902-917, March 2021.

12. Xin Chen, Lingxi Xie, Jun Wu, and Qi Tian, “Progressive Darts: Bridging the Optimization Gap for NAS in the Wild,” International Journal of Computer Vision (IJCV), Vol. 129(3), pp. 638-655, March 2021.

13. Bo Li, Juefei Yuan, Yuxiang Ye, Yijuan Lu, Chaoyang Zhang, and Qi Tian, “3D Sketching for 3D Object Retrieval,” Journal of Multimedia Tools and Applications (MTA), Vol. 80(6): 9569-9595, March 2021.

14. Ting Yu, Jun Yu, Zhou Yu, Qingming Huang, and Qi Tian, “Long-Term Video Question Answering via Multimodal Hierarchical Memory Attentive Networks,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 31, No. 3, pp: 931-944, March 2021.

15. Mingxing Duan, Aijia Ouyang, Guanghua Tan, and Qi Tian, “Age Estimation Using Aging/Rejuvenation Features with Device-Edge Synergy,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 31, No.2, pp: 608-620, February 2021.

16. Mingxing Duan, Kenli Li, Keqin Li, and Qi Tian, “A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction,” ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 12, No.1, February 2021.

17. Qiaokang Xie, Wengang Zhou, Guo-Jun Qi, Qi Tian, and Houqiang Li, “Progressive Unsupervised Person Re-Identification by Tracklet Association with Spatio-Temporal Regularization,” IEEE Transactions on Multimedia (TMM), Vol. 23, pp:597-610, January 2021.

18. Yifan Zhang, Wengang Zhou, Min Wang, Qi Tian, and Houqiang Li, “Deep Relation Embedding for Cross-Modal Retrieval,” IEEE Transactions on Image Processing (TIP), Vol. 30, pp: 617-627, 2021.

19. Yiheng Liu, Wengang Zhou, Jianzhuang Liu, Guo-Jun Qi, Qi Tian, and Houqiang Li, “An End-to-End Foreground-Aware Network for Person Re-Identification,” IEEE Transactions on Image Processing (TIP), Vol. 30, pp: 2060-2071, 2021.

20. Ke Ning, Lingxie Xie, Jianzhuang Liu, Fei Wu, and Qi Tian, “Interaction-Integrated Network for Natural Language Moment Localization,” IEEE Transactions on Image Processing (TIP), Vol. 30, pp: 2538-2548, 2021.

21. Xin Chen, Xizhao Luo, Jian Weng, Weiqi Luo, Huiting Li, and Qi Tian, “Multi-View Gait Image Generation for Cross-View Gait Recognition,” IEEE Transactions on Image Processing (TIP), Vol. 30, pp: 3041-3055, 2021.

22. Wenfei Yang, Tianzhu Zhang, Zhendong Mao, Yongdong Zhang, Qi Tian, and Feng Wu, “Multi-Scale Structure-Aware Network for Weakly Supervised Temporal Action Detection,” IEEE Transactions on Image Processing (TIP), Vol. 30, pp: 5848-5861, 2021.

23. Xiaoping Wu, Jianlong Chang, Yu-Kun Lai, Jufeng Yang, and Qi Tian, “BiSPL: Bidirectional Self-Paced Learning for Recognition From Web Data,” IEEE Transactions on Image Processing (TIP), Vol. 30, pp: 6512-6527, 2021.

24. Liqiang Nie, Fangkai Jiao, Wenjie Wang, Yinglong Wang, and Qi Tian, “Conversational Image Search,” IEEE Transactions on Image Processing (TIP), Vol. 30, pp: 7732-7743, 2021.

25. Masosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, and Qi Tian, “Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction,” IEEE Transactions on Image Processing (TIP), Vol. 30, pp: 7760-7775, 2021.

26. Guoli Song, Shuhui Wang, Qingming Huang, and Qi Tian, “Learning Feature Representation and Partial Correlation for Multimodal Multi-Label Data,” IEEE Transactions on Multimedia (TMM), Vol. 23, pp: 1882-1894, 2021.

27. Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang, and Qi Tian, “Graph Regularized Encoder-Decoder Networks for Image Representation Learning,” IEEE Transactions on Multimedia (TMM), Vol. 23, pp: 3124-3136 2021.

28. Peisen Zhao, Lingxi Xie, Ya Zhang, and Qi Tian, “Universal-to-Specific Framework for Complex Action Recognition,” IEEE Transactions on Multimedia (TMM), Vol. 23, pp: 3441-3453, 2021.

29. Jianbo Ouyang, Wengang Zhou, Min Wang, Qi Tian, and Houqiang Li, “Collaborative Image Relevance Learning for Visual Re-Ranking,” IEEE Transactions on Multimedia (TMM), Vol. 23, pp: 3646-3656, 2021.

Conference Papers

1. Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, and Junchi Yan, “Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence,” Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), A Virtual Conference, Dec. 4-12, 2021.

2. Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, and Qi Tian, “Rectifying the Shortcut Learning of Background for Few-Shot Learning,” Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), A Virtual Conference, Dec. 4-12, 2021.

3. Chaoqing Huang, Fei Ye, Peisen Zhao, Ya Zhang, Yan-Feng Wang, and Qi Tian, “ESAD: End-to-end Semi-supervised Anomaly Detection,” The British Machine Vision Conference (BMVC), A Virtual Conference, November 20-22, 2021.

4. Maosen Li, Siheng Chen, Zihui Liu, Lingxi Xie, Qi Tian, and Ya Zhang, “Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction,” ICCV First Workshop on “When Graph Signal Processing meets Computer Vision” (GSPCV), Virtual Conference, October 11-17, 2021.

5. Xu Yan, Zhengcong Fei, Zekang Li, Shuhui Wang, Qingming Huang, and Qi Tian, “Semi-Autoregressive Image Captioning,” The 29th ACM International Conference on Multimedia (ACM MM), Chengdu, China, October 20-24, 2021.

6. Wencan Huang, Wenwen Pan, Zhou Zhao, and Qi Tian, “Towards Fast and High-Quality Sign Language Production,” The 29th ACM International Conference on Multimedia (ACM MM), Chengdu, China, October 20-24, 2021.

7. Mingxing Duan, Kenli Li, Lingxi Xie, Qi Tian, and Bin Xiao, “Towards Multiple Black-boxes Attack via Adversarial Example Generation Network,” The 29th ACM International Conference on Multimedia (ACM MM), Chengdu, China, October 20-24, 2021.

8. Changchong Sheng, Matti Pietikäinen, Qi Tian, and Li Liu, “Cross-modal Self-Supervised Learning for Lip Reading: When Contrastive Learning meets Adversarial Training,” The 29th ACM International Conference on Multimedia (ACM MM), Chengdu, China, October 20-24, 2021.

9. Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, and Li Liu, “Pixel Difference Networks for Efficient Edge Detection,” International Conference on Computer Vision (ICCV), Oral(~3.4%, 210 out of 6236 submissions), acceptance rate: 25.9%(1617 out of 6236 submissions), Virtual Conference, October 11-17, 2021.

10. Chen Ju, Siheng Chen, Peisen Zhao, Ya Zhang, Yan-Feng Wang, and Qi Tian, “Divide and Conquer for Single-frame Temporal Action Localization,” International Conference on Computer Vision (ICCV), acceptance rate: 25.9%(1617 out of 6236 submissions), Virtual Conference, October 11-17, 2021.

11. Peng Zhou, Lingxi Xie, Bingbing Ni, Cong Geng, and Qi Tian, “Omni-GAN: On the Secrets of cGANs and Beyond,” International Conference on Computer Vision (ICCV), acceptance rate: 25.9%(1617 out of 6236 submissions), Virtual Conference, October 11-17, 2021.

12. Ye Chen, Jinxian Liu, Bingbing Ni, Hang Wang, Jiancheng Yang, Ning Liu, Teng Li, and  Qi Tian, “Shape Self-Correction for Unsupervised Point Cloud Understanding,” International Conference on Computer Vision (ICCV), acceptance rate: 25.9%(1617 out of 6236 submissions), Virtual Conference, October 11-17, 2021.

13. Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, and Qi Tian, “Greedy Gradient Ensemble for Robust Visual Question Answering,” International Conference on Computer Vision (ICCV), Oral(~3.4%, 210 out of 6236 submissions), acceptance rate: 25.9%(1617 out of 6236 submissions), Virtual Conference, October 11-17, 2021.

14. Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, and Chunhong Pan, “Differentiable Convolution Search for Point Cloud Processing,” International Conference on Computer Vision (ICCV), acceptance rate: 25.9%(1617 out of 6236 submissions), Virtual Conference, October 11-17, 2021.

15. Meng Meng, Tianzhu Zhang, Qi Tian, Feng Wu, and Yongdong Zhang, “Foreground Activation Maps for Weakly Supervised Object Localization,” International Conference on Computer Vision (ICCV), acceptance rate: 25.9%(1617 out of 6236 submissions), Virtual Conference, October 11-17, 2021.

16. Wei Gao, Fang Wan, Xingjia Pan, Zhiliang Peng, Qi Tian, Zhejun Han, Bolei Zhou, and Qixiang Ye, “TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization,” International Conference on Computer Vision (ICCV), acceptance rate: 25.9%(1617 out of 6236 submissions), Virtual Conference, October 11-17, 2021.

17. Zhengsu Chen, Lingxi Xie, Jianwei Niu, Xuefeng Liu, Longhui Wei, and Qi Tian, “Visformer: The Vision-friendly Transformer,” International Conference on Computer Vision(ICCV), acceptance rate: 25.9%(1617 out of 6236 submissions), Virtual Conference, October 11-17, 2021.

18. Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, and Qi Tian, “Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss,” The Thirty-eighth International Conference on Machine Learning (ICML), June 18-24, 2021, virtual conference.

19. Tianyu Zhang, Lingxi Xie, Longhui Wei, Zijie Yang, Yongfei Zhang, Bo Li, and Qi Tian, “UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification,” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Oral(~4%), acceptance rate: 23.7%(1663 out of 7000+ submissions), virtual conference, Nashville, United States, June 19-25, 2021.

20. Qinwei Xu, Ruipeng Zhang, Ya Zhang, Yan-Feng Wang, and Qi Tian, “A Fourier-based Framework for Domain Generalization,” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Oral (~4%), acceptance rate: 23.7%(1663 out of 7000+ submissions), virtual conference, Nashville, United States, June 19-25, 2021.

21. Wenfei Yang, Tianzhu Zhang, Xiaoyuan Yu, Qi Tian, Yongdong Zhang, and Feng Wu, “Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection,” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Oral(~4%), acceptance rate: 23.7%(1663 out of 7000+ submissions), virtual conference, Nashville, United States, June 19-25, 2021.

22. Xinyue Huo, Lingxi Xie, Jianzhong He, Zijie Yang, Wengang Zhou, Houqiang Li, and Qi Tian, “ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation,” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 23.7%(1663 out of 7000+ submissions), virtual conference, Nashville, United States, June 19-25, 2021.

23. Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, JinchengMa, Qi Tian, and Rongrong Ji, “Towards Compact CNNs via Collaborative Compression,” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 23.7%(1663 out of 7000+ submissions), virtual conference, Nashville, United States, June 19-25, 2021.

24. Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, and Qi Tian, “CondenseNet V2: Sparse Feature Reactivation for Deep Networks,” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 23.7%(1663 out of 7000+ submissions), virtual conference, Nashville, United States, June 19-25, 2021.

25. Xin Chen, Lingxi Xie, Jun Wu, Longhui Wei, Yuhui Xu, and Qi Tian, “Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks,” Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), A virtual conference, February 2-9, 2021.

26. Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Mingliang Xu, Qi Tian, and Rongrong Ji, “Dual Distribution Alignment Network for Generalizable Person Re-Identification”, Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), A virtual conference, February 2-9, 2021.

27. Ke Ning, Lingxi Xie, Fei Wu, and Qi Tian, “Polar Relative Positional Encoding for Video-Language Segmentation,” IJCAI, pp: 948-954, Virtual Yokohama, Japan, January 5-15, 2021.

28. Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang, and Qi Tian, “A Structured Latent Variable Recurrent Network With Stochastic Attention For Generating Weibo Comments,” IJCAI, pp: 3962-3968, Virtual Yokohama, Japan, January 5-15, 2021.

29. Chuan Wen, Yujie Pan, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, and Qi Tian, “Handwritten Chinese Font Generation with Collaborative Stroke Refinement,” IEEE Winter Conference on Applications of Computer Vision (WACV), pp: 3881-3890, January 2021.

30. Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, and Qi Tian, “Appending Adversarial Frames for Universal Video Attack,” IEEE Winter Conference on Applications of Computer Vision (WACV), pp: 3198-3207, January 2021.

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Year 2020

Journal Papers

1. Tao Yao, Xiangwei Kong, Haiyan Fu, and Qi Tian, “Discrete Semantic Alignment Hashing for Cross-Media Retrieval,” IEEE Transactions on Cybernetics (TYCB), Vol. 50(12): 4896-4907, December 2020.

2. Liyuan Wang, Jing Zhang, Qi Tian, Chenhao Li, and Li Zhuo, “Porn Streamer Recognition in Live Video Streaming via Attention-Gated Multimodal Deep Features,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 30(12): 4876-4886, December 2020.

3. Ying Li, Xiangwei Kong, Haiyan Fu, and Qi Tian, “Node-Sensitive Graph Fusion via Topo-Correlation for Image Retrieval,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 30(10), pp: 3777-3787, October 2020.

4. Xin Chen, Jian Weng, Weiqi Luo, Wei Lu, Huimin Wu, Jiaming Xu, and Qi Tian, “Sample Balancing for Deep Learning-Based Visual Recognition,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 31(10): 3962-3976, October 2020.

5. Huawen Liu, Xuelong Li, Shichao Zhang, and Qi Tian, “Adaptive Hashing With Sparse Matrix Factorization,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 31(10): 4318-4329 October 2020.

6. Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Shen Chen, and Qi Tian, “Hadamard Matrix Guided Online Hashing,” International Journal of Computer Vision (IJCV), 128(8): 2279-2306, August 2020.

7. Chunjie Zhang, Jian Cheng, and Qi Tian, “Multi-View Image Classification with Visual, Semantic and View Consistency,” IEEE Transactions on Image Processing (TIP), Vol. 29, pp: 617-627, 2020.

8. Zhizhong Zhang, Yuan Xie, Wensheng Zhang, Yongqiang Tang, and Qi Tian, “Tensor Multi-Task Learning for Person Re-Identification,” IEEE Transactions on Image Processing(TIP), Vol. 29, pp: 2463-2477, 2020.

9. Xiaobin Liu, Shiliang Zhang, Xiaoyu Wang, Richang Hong, and Qi Tian, “Group-Group Loss-Based Global-Regional Feature Learning for Vehicle Re-Identification,” IEEE Transactions on Image Processing(TIP), Vol. 29, pp: 2638-2652, 2020.

10. Wei Zhang, Xuanyu He, Xiaodong Yu, Weizhi Lu, Zhengjun Zha, and Qi Tian, “A Multi-Scale Spatial-Temporal Attention Model for Person Re-Identification in Videos,” IEEE Transactions on Image Processing(TIP), Vol. 29, pp: 3365-3373, 2020.

11. Zhizhong Zhang, Yuan Xie, Ding Li, Wensheng Zhang, and Qi Tian, “Learning to Align via Wasserstein for Person Re-Identification,” IEEE Transactions on Image Processing (TIP), Vol. 29: 7104-7116, 2020.

12. Yiming Wu, Omar El Farouk Bourahla, Xi Li, Fei Wu, Qi Tian, and Xue Zhou, “Adaptive Graph Representation Learning for Video Person Re-Identification,” IEEE Transactions on Image Processing (TIP), Vol. 29: 8821-8830, 2020.

13. Qingming Leng, Haiou Yang, Junjun Jiang, and Qi Tian, “Adaptive MultiSclae Segmentations for Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, No. 8, pp. 5847-5860, August 2020.

14. Xi Liang, Jing Zhang, Li Zhuo, Yuzhao Li, and Qi Tian, “Small Object Detection in Unmanned Aerial Vehicle Images Using Feature Fusion and Scaling-Based Single Shot Detector with Spatial Context Analysis,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 30(6): 1758-1770, June 2020.

15. Mingxing Duan, Kenli Li, Aijia Ouyang, Khin Nandar Win, Keqin Li, and Qi Tian, “EGroupNet: A Feature-enhanced Network for Age Estimation with Novel Age Group Schemes,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 16(2), pp: 42:1-42:23, June 2020.

16. Ahmad Salah, Kenli Li, Khalid M. Hosny, Mohamed M. Darwish, and Qi Tian, “Accelerated CPU-GPUs implementations for quaternion polar harmonic transform of color images,” Future Generation Computer System, Vol.107, pp. 368-382, June 2020.

17. Xiaobin Liu, Shiliang Zhang, Tiejun Huang, and Qi Tian, “E2BoWs: An end-to-end Bag-of-Words model via deep convolutional neural network for image retrieval,” Neurocomputing, Vol. 395: 188-198, June 2020.

18. Shuoting Feng, Zhongshuo Zhuo, Daru Pan, and Qi Tian, “CcNet: A cross-connected convolutional network for segmenting retinal vessels using multi-scale features,” Neurocomputing, Vol. 392: 268-276, June 2020.

19. Fei Gao, Ziyun Li, Jun Yu, Junze Yu, Qingming Huang, and Qi Tian, “Style-adaptive photo aesthetic rating via convolutional neural networks and multi-task learning,” Neurocomputing, Vol. 395: 247-254, June 2020.

20. Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Neighborhood Pyramid Preserving Hashing,” IEEE Transactions on Multimedia (TMM), Vol. 22(6): 1507-1518, June 2020.

21. Hongyang Yu, Guorong Li, Weigang Zhang, Qingming Huang, Dawei Du, Qi Tian, and Nicu Sebe, “The Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline,” International Journal of Computer Vision (IJCV), Vol.128(5), pp: 1141-1159, May 2020.

22. Tao Yao, Lianshan Yan, Yilan Ma, Hong Yu, Qingtang Su, Gang Wang, and Qi Tian, “Fast discrete cross-modal hashing with semantic consistency,” Neural Networks, Vol.125, pp: 142-152, May 2020.

23. Chunjie Zhang, Jian Cheng, and Qi Tian, “Multiview Semantic Representation for Visual Recognition,” IEEE Transactions on Cybernetics (TCYB), 50(5): 2038-2049, May 2020.

24. Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, “Adversarial Training Towards Robust Multimedia Recommender System,” IEEE Transactions on Knowledge Data Engineering (TKDE), Vol. 32(5): 855-867 May 2020.

25. Tao Yao, Yaru Han, Ruxin Wang, Xiangwei Kong, Lianshan Yan, Haiyan Fu, and Qi Tian, “Efficient discrete supervised hashing for large-scale cross-modal retrieval,” Neurocomputing, Vol.385: 358-367, April 2020.

26. Qingming Leng, Mang Ye, and Qi Tian, “A Survey of Open-World Person Re-Identification,” IEEE Transactions on Circuits and Systems for Video Technology(TCSVT), Vol. 30(4): 1092-1108, April 2020.

27. Caijuan Shi, Zhibin Gu, Changyu Duan, and Qi Tian, “Multi-view adaptive semi-supervised feature selection with the self-paced learning,” Signal Processing, Vol. 168, March 2020.

28. Longlong Liao, ZhiBang Yang, Qing Liao, Kenli Li, Keqin Li, Jie Liu, and Qi Tian, “A half-precision compressive sensing framework for end-to-end person re-identification,” Neural Computing and Applications, Vol. 32(4): 1141-1155, February 2020.

Conference Papers

1. Hao Li, Xiaopeng Zhang, Qi Tian, and Hongkai Xiong, “Attribute mix: Semantic Data Augmentation for Fine Grained Recognition,” IEEE International Conference on Visual Communication and Image Processing (VCIP), pp. 243-246, 2020.

2. Hengtong Hu, Lingxi Xie, Zewei Du, Richang Hong, and Qi Tian, “One-bit Supervision for Image Classification,” Thirty-fourth Annual Conference on Neural Information Processing Systems (NeurIPS), December 6-12, 2020.

3. Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory G. Slabaugh, and Qi Tian, “Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs,” Thirty-fourth Annual Conference on Neural Information Processing Systems (NeurIPS), December 6-12, 2020.

4. Leigang Qu, Meng Liu, Da Cao, Liqiang Nie, and Qi Tian, “Context-Aware Multi-View Summarization Network for Image-Text Matching,” Oral, ACM Multimedia, Seattle, WA, USA, October 12-16, 2020.

5. Gen Luo, Rongrong Ji, Yiyi Zhou, Xiaoshuai Sun, Jinsong Su, Chia-Wen Lin, and Qi Tian, “Cascade Grouped Attention Network for Referring Expression Segmentation,” Oral, ACM Multimedia, Seattle, WA, USA, October 12-16, 2020.

6. Zhaobo Qi, Shuhui Wang, Chi Su, Li Su, Qingming Huang, and Qi Tian, “Towards More Explainability: Concept Knowledge Mining Network for Event Recognition,” ACM Multimedia, Seattle, WA, USA, October 12-16, 2020.

7. Zhaohui Yang, Yunhe Wang, Chang Xu, Peng Du, Chao Xu, Chunjing Xu, and Qi Tian, “Discernible Image Compression,” ACM Multimedia, Seattle, WA, USA, October 12-16, 2020.

8. Zhou Yu, Yuhao Cui, Jun Yu, Meng Wang, Dacheng Tao, and Qi Tian, “Deep Multimodal Neural Architecture Search,” ACM Multimedia, Seattle, WA, USA, October 12-16, 2020.

9. Jiayi Ji, Rongrong Ji, Yiyi Zhou, Xiaoshuai Sun, Fuhai Chen, Jianzhuang Liu, and Qi Tian, “Attacking Image Captioning Towards Accuracy-Preserving Target Words Removal,” ACM Multimedia, Seattle, WA, USA, October 12-16, 2020.

10. Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis, Wengang Zhou, and Qi Tian, “Wavelet-Based Dual-Branch Network for Image Demoireing,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

11. Xuanhong Chen, Naiyuan Liu, Ziang Liu, Bingbing Ni, Yiliu Jiang, Loc Truong, Qi Tian, “CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

12. Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, and Qi Tian, “Video Super-Resolution with Recurrent Structure-Detail Network,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

13. Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie Zhou, and Qi Tian, “Reinforced Axial Refinement Network for Monocular 3D Object Detection,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

14. Shuo Wang, Jun Yue, Jianzhuang Liu, Qi Tian, and Meng Wang, “Large-Scale Few-Shot Learning via Multi-Modal Knowledge Discovery,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

15. Jianqiao An, Yucheng Shi, Yahong Han, Meijun Sun, and Qi Tian, “Extract and Merge: Superpixel Segmentation with Regional Attributes,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

16. Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, and Qi Tian, “API-Net: Robust Generative Classifier via a Single Discriminator,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

17. Rui Yan, Lingxi Xie, Jinhui Tang, Xiangbo Shu, and Qi Tian, “Social Adaptive Module for Weakly-supervised Group Activity Recognition,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

18. Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, and Qi Tian, “Bottom-Up Temporal Action Localization with Mutual Regularization,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

19. Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, and Qi Tian, “Corner Proposal Network for Anchor-free, Two-stage Object Detection,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

20. Kunyuan Du, Ya Zhang, Haibing Guan, Qi Tian, Yanfeng Wang, Shenggan Cheng, and James Lin, “FTL: A universal framework for training low-bit DNNs via Feature Transfer,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

21. Zijie Zhuang, Longhui Wei, Lingxi Xie, Tianyu Zhang, Hengheng Zhang, Haozhe Wu, Haizhou Ai, and Qi Tian, “Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

22. Longhui Wei, An Xiao, Lingxi Xie, Xiaopeng Zhang, Xin Chen, and Qi Tian, “Circumventing Outliers of AutoAugment with Knowledge Distillation,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

23. Xinzhe Han, Shuhui Wang, Chi Su, Weigang Zhang, Qingming Huang, and Qi Tian, “Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision,” the 16th European Conference on Computer Vision (ECCV), Virtual Platform, August 23-28, 2020.

24. Shuaijun Chen, Zhen Han, Enyan Dai, Xu Jia, Ziluan Liu, Xing Liu, Xueyi Zou, Chunjing Xu, Jianzhuang Liu, and Qi Tian, “Unsupervised Image Super-Resolution with an Indirect Supervised Path,” CVPR New Trends in Image Restoration and Enhancement Workshop and Challenges on Image and Video Restoration and Enhancement (NTIRE), pp:1924-1933, Seattle, WA, USA, June 15, 2020.

25. Yang Liu, Saeed Anwar, Liang Zheng, and Qi Tian, “GradNet Image Denoising,” CVPR New Trends in Image Restoration and Enhancement Workshop and Challenges on Image and Video Restoration and Enhancement (NTIRE), pp: 2140-2149, Seattle, WA, USA, June 15, 2020.

26. Yutian Lin, Lingxi Xie, Yu Wu, Chenggang Yan, and Qi Tian, “Unsupervised Person Re-identification via Softened Similarity Learning,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

27. Hengtong Hu, Lingxi Xie, Richang Hong, and Qi Tian, “Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

28. Lin Liu, Xu Jia, Jianzhuang Liu, and Qi Tian, “Joint Demosaicing and Denoising with Self Guidance,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

29. Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, and Qi Tian, “Learning to Select Base Dataset for Few-shot Classification with Submodular Optimization,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

30. Takashi Isobe, Xu Jia, Songjiang Li, Shanxin Yuan, Gregory Slabaugh, Chunjing Xu, Ya-Li Li, Shengjing Wang, and Qi Tian, “Video Super-resolution with Temporal Group Attention,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

31. Yucheng Shi, Yahong Han, and Qi Tian, “Polishing Decision-based Adversarial Noise with a Customized Sampling,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

32. Jun Wei, Shuhui Wang, Zhe Wu, Chi Su, Qingming Huang, and Qi Tian, “Label Decoupling Framework for Salient Object Detection,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

33. Guoqiang Gong, Xinghan Wang, Yadong Mu, and Qi Tian, “Learning Temporal Co-Attention Models for Unsupervised Video Action Localization,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Oral, acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

34. Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, and Qi Tian, “Projection & Probability-Driven Black-Box Attack,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

35. Jinrui Yang, Wei-Shi Zheng, Qize Yang, Yingcong Chen, and Qi Tian, “Spatial-Temporal Graph Convolutional Network for Video-based Person Re-identification,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

36. Shuhao Cui, Shuhui Wang, Junbao Zhuo, Chi Su, Qingming Huang, and Qi Tian, “Gradually Vanishing Bridge for Adversarial Domain Adaptation,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

37. Shuhao Cui, Shuhui Wang, Junbao ZHuo, Liang Li, Qingming Huang, and Qi Tian, “Towards Discriminability and Diversity: Batch Nuclear-norm Maximization on Output under Label Insufficient Situations,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Oral，acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

38. Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yan-Feng Wang, and Qi Tian, “Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Oral，acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

39. Hanting Chen, Yunhe Wang, Han Su, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu, “Frequency Domain Compact 3D Convolutional Neural Networks,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

40. Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang, “Cross-domain Detection via Graph-induced Prototype Alignment,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Oral, acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

41. Kai Han, Yunhe Wang, Jianyuan Guo, Chunjing Xu, Qi Tian*, Chang Xu, “GhostNet: More Features from Cheap Operations,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

42. Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, and Chang Xu, “A Semi-Supervised Assessor of Neural Architectures,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

43. Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, and Chang Xu, “AdderNet: Do We Really Need Multiplications in Deep Learning?” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Oral, acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

44. Jiayu Wang, Wengang Zhou, Guo-Jun Qi, Zhongqian Fu, Qi Tian, and Houqiang Li, “Transformation GAN for Unsupervised Image Synthesis and Representation Learning,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

45. Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, and Chang Xu, “CARS: Continuous Evolution for Efficient Neural Architecture Search,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

46. Yunhang Shen, Rongrong Ji, Zhiwei Chen, Xiaopeng Hong, Feng Zheng, Jianzhuang Liu, Mingliang Xu, and Qi Tian, “Noise-Aware Fully Webly Supervised Object Detection,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

47. Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, and Qi Tian, “Rethinking Performance Estimation in Neural Architecture Search,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

48. Wenxuan Wang, Yanwei Fu, Xueling Qian, Yu-Gang Jiang, Qi Tian, Xiangyang Xue, “FM2μ-Net: Face Morphological Multi-Branch Network for Makeup-invariant Face Verification,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

49. Zhengsu Chen, Jianwei Niu, Lingxi Xie, Xuefeng liu, Longhui Wei, and Qi Tian, “Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% (1470 out of 6656) Seattle, WA, USA, June 16-18, 2020.

50. Haozhe Wu, Jia Jia, Lingxi Xie, Guojun Qi, Yuanchun Shi, and Qi Tian, “Cross-VAE: Towards Disentangling Expression from Identity For Human Faces,” the 45th IEEE international Conference on Acoustics Speech, and Signal Processing (ICASSP), pp: 4087-4091, Virtual Barcelona, Spain, May 4-8, 2020.

51. Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian*, and Hongkai Xiong, “PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search,” The International Conference on Learning Representation (ICLR), Addis Ababa ETHIOPIA, April 26-30, 2020.

52. Tianyu Zhang, Lingxi Xie, Longhui Wei, Yongfei Zhang, Bo Li and Qi Tian, “Single Camera Training for Person Re-identification,” Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York City, USA, February 7-10, 2020.

53. Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang, “Adversarial Domain Adaptation with Domain Mixup,” Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York City, USA, February 7-10, 2020.

54. Han Fang, Jun Chen, and Qi Tian, “Multi-branch Body Region Alignment Network for Person Re-identification,” the 26th International Conference on Multimedia Modeling (MMM), Daejeon, Korea, January 3-5, 2020.

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Year 2019

Journal Papers

1. S. Yang, L. Li, S. Wang, W. Zhang, Q. Huang, and Q. Tian, “SkeletonNet: A Hybrid Network with a Skeleton-Embedding Process for Multi-view Image Representation Learning,” IEEE Transactions on Multimedia (TMM), Vol. 21, Issue 11, pp: 2916-2929, November 2019.

2. Z. Zhang, Y. Xie, W. Zhang, and Q. Tian, “Effective Image Retrieval via Multilinear Multi-index Fusion,” IEEE Transactions on Multimedia (TMM), Vol. 21, Issue 11, pp: 2878-2890, November 2019.

3. J. Zhang, Y. Yang, L. Zhuo, Q. Tian, and X. Liang, “Personalized Recommendation of Social Images by Constructing a User Interest Tree with Deep Features and Tag Trees,” IEEE Transactions on Multimedia (TMM), Vol. 21, Issue 11, pp: 2762-2775, November 2019.

4. C. Zhang, J. Cheng, and Q. Tian, “Multiview, Few-Labeled Object Categorization by Predicting Labels With View Consistency,” IEEE Transactions on Cybernetics (TCYB), Vol. 49, Issue 11, pp: 3834-3843, November 2019.

5. Mingxing Duan, Kenli Li, Xiangke Liao, Keqin Li, and Qi Tian, “Features-Enhanced Multi-Attribute Estimation with Convolutional Tensor Correlation,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 15(3s), pp: 1-23, October 2019.

6. C. Zhang, J. Cheng, and Q. Tian, “Unsupervised and Semi-supervised Image Classification with Weak Semantic Consistency,” IEEE Transactions on Multimedia (TMM), Vol. 21, Issue 10, pp: 2482-2491, October 2019.

7. Y. Li, X. Kong, H. Fu, and Q. Tian, “Contextual modeling on auxiliary points for robust image reranking,” Frontiers of Computer Science, Vol. 13, Issue 5, pp: 1010-1022, October 2019.

8. H. Hu, W. Fang, B. Li, and Q. Tian, “An Adaptive Multi-Projection Metric Learning for Person Re-identification across Non-Overlapping Cameras,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 29, Issue 9, pp: 2809-2821, September 2019.

9. H. Yao, F. Dai, S. Zhang, Y. Zhang, Q. Tian, and C. Xu, “DR2-Net: Deep Residual Reconstruction Network for image compressive sensing,” Neurocomputing, Vol. 359, pp: 483-493, September 2019.

10. Min Wang, Wemgang Zhou, Qi Tian, and Houqiang Li, “Deep Scalable Supervised Quantization by Self-Organizing Map,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 15(3), pp: 1-18, August 2019.

11. J. Huang, W. Zhou, Q. Tian, and H. Li, “Exploiting weak mask representation with convolutional neural networks for accurate object tracking,” Multimedia Tools and Applications, Vol. 78, Issue 15, pp: 20961-20985, August 2019.

12. J. Tang, X. Shu, Z. Li, Y. Jiang, and Q. Tian, “Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 41, Issue 8, pp: 2027-2034, August 2019.

13. Y. Zhu, M. Tong, Z. Jiang, S. Zhong, and Q. Tian, “Hybrid feature-based analysis of video’s affective content using protagonist detection,” Expert Systems with Applications, Vol. 128, pp: 316-326, August 2019.

14. J. Pang, F. Tao, Q. Huang, Q. Tian, and B. Yin, “Two Birds With One Stone: A Coupled Poisson Deconvolution for Detecting and Describing Topics From Multimodal Web Data,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 30, Issue 8, pp: 2397-2409, August 2019.

15. Y. Liu, J. Zhang, J. Mao, M. Zhang, S. Ma, Q. Tian, Y. Lu, and L. Lin, “Search Result Reranking with Visual and Structure Information Sources,” ACM Transactions on Information Systems (TOIS), Vol. 37, Issue 3, pp: 38:1-38:38, July 2019.

16. H. Yao, S. Zhang, R. Hong, Y. Zhang, C. Xu, and Q. Tian, “Deep Representation Learning with Part Loss for Person Re-Identification,” IEEE Transactions on Image Processing (TIP), Vol. 28, Issue 6, pp: 2860-2871, June 2019.

17. T. Yao, G. Wang, L. Yan, X. Kong, Q. Su, C. Zhang, and Q. Tian, “Online latent semantic hashing for cross-media retrieval,” Pattern Recognition, Vol. 89, pp: 1-11, May 2019.

18. H. Liu, H. Du, D. Zeng, and Q. Tian, “Cloud Detection Using Super Pixel Classification and Semantic Segmentation,” Journal of Computer Science and Technology, Vol. 34, Issue 3, pp: 622-633, May 2019.

19. S. Bai, X. Bai, Q. Tian, and L. J. Latecki, “Regularized Diffusion Process on Bidirectional Context for Object Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 41, Issue 5, pp: 1213-1226, May 2019.

20. C. Zhang, J. Cheng, and Q. Tian, “Semantically Modeling of Object and Context for Categorization,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 30, Issue 4, pp: 1013-1024, April 2019.

21. L. Wei, S. Zhang, H. Yao, W. Gao, and Q. Tian, “GLAD: Global–Local-Alignment Descriptor for Scalable Person Re-Identification,” IEEE Transactions on Multimedia (TMM), Vol. 21, Issue 4, pp: 986-999, April 2019.

22. S. Pang, J. Ma, J. Zhu, J. Xue, and Q. Tian, “Improving Object Retrieval Quality by Integration of Similarity Propagation and Query Expansion,” IEEE Transactions on Multimedia (TMM), Vol. 21, Issue 3, pp: 760-770, March 2019.

23. J. Pang, A. Hu, Q. Huang, Q. Tian, and B. Yin, “Increasing Interpretation of Web Topic Detection via Prototype Learning from Sparse Poisson Deconvolution,” IEEE Transactions on Cybernetics (TCYB), Vol. 49, Issue 3, pp: 1072-1083, March 2019.

24. M. Liu, L. Nie, X. Wang, Q. Tian, and B. Chen, “Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning,” IEEE Transactions on Image Processing (TIP), Vol. 28, Issue 3, pp: 1235-1247, March 2019.

25. X. Zhang, H. Xiong, W. Lin, and Q. Tian, “Weak to Strong Detector Learning for Simultaneous Classification and Localization,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 29, Issue 2, pp: 418-432, February 2019.

26. S. Pang, J. Xue, J. Zhu, L. Zhu, and Q. Tian, “Unifying Sum and Weighted Aggregations for Efficient Yet Effective Image Representation Computation,” IEEE Transactions on Image Processing (TIP), Vol. 28, Issue 2, pp: 841-852, February 2019.

27. C. Shi, C. Duan, Z. Gu, Q. Tian, G. An, and R. Zhao, “Semi-supervised feature selection analysis with structured multi-view sparse regularization,” Neurocomputing, Vol. 330, pp: 412-424, February 2019.

28. T. Yao, Z. Zhang, L. Yan, J. Yue, and Q. Tian, “Discrete Robust Supervised Hashing for Cross-Modal Retrieval,” IEEE Access, Vol. 7, pp: 39806-39814, February 2019.

29. J. Zhang, L. Chen, X. Liang, L. Zhuo, and Q. Tian, “Hyperspectral image secure retrieval based on encrypted deep spectral–spatial features,” Journal of Applied Remote Sensing, Vol. 13, Issue 1, pp: 018501, February 2019.

30. S. Bai, Z. Zhou, J. Wang, X. Bai, L. Latecki, and Q. Tian, “Automatic Ensemble Diffusion for 3D Shape and Image Retrieval,” IEEE Transactions on Image Processing (TIP), Vol. 28, Issue 1, pp: 88-101, January 2019.

31. B. Yuan, X. Gao, Z. Niu, and Q. Tian, “Discovering Latent Topics by Gaussian Latent Dirichlet Allocation and Spectral Clustering,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 15, Issue 1, pp: 25:1-25:18, January 2019.

Conference Papers

1. Jie Hu, Rongrong Ji, Shengchuan Zhang, Xiaoshuai Sun, Qixiang Ye, Chia-Wen Li, and Qi Tian, “Information Competing Process for Learning Diversified Representations,” 2019 Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, December 4-12, 2019.

2. Chen Zuo, Wei Zhang, Lingxi Xie, Qi Tian, and Hongkai Xiong, “Det2Seg: A Two-Stage Approach for Road Object Segmentation from 3D Point Clouds,” VCIP, pp: 1-4, 2019.

3. J. Zhang, J. Mao, Y. Liu, R. Zhang, M. Zhang, S. Ma, J. Xu, and Q. Tian, “Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning,” ACM International Conference on Information and Knowledge Management, Beijing, China, November 03-07, 2019.

4. H. Chen, Y. Wang, C. Xu, Z. Yang, C. Liu, B. Shi, C. Xu, C. Xu, and Q. Tian, “Data-Free Learning of Student Networks,” IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 27-November 2, 2019.

5. X. Chen, L. Xie, J. Wu, and Q. Tian, “Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation,” IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 27-November 2, 2019.

6. K. Duan, S. Bai, L. Xie, H. Qi, Q. Huang, and Q. Tian, “CenterNet: Keypoint Triplets for Object Detection,” IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 27-November 2, 2019.

7. J. Li, J. Wang, Q. Tian, W. Gao, and S. Zhang, “Global-Local Temporal Representations for Video Person Re-Identification,” IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 27-November 2, 2019.

8. J. Li, R. Ji, H. Liu, X. Hong, Y. Gao, and Q. Tian, “Universal Perturbation Attack Against Image Retrieval,” IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 27-November 2, 2019.

9. J. Liu, B. Ni, C. Li, J. Yang, and Q. Tian, “Dynamic Points Agglomeration for Hierarchical Point Sets Learning,” IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 27-November 2, 2019.

10. G.-J. Qi, L. Zhang, C. W. Chen, and Q. Tian, “AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations,” IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 27-November 2, 2019.

11. H. Shu, Y. Wang, X. Jia, K. Han, H. Chen, C. Xu, Q. Tian, and C. Xu, “Co-Evolutionary Compression for Unpaired Image Translation,” IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 27-November 2, 2019.

12. X. Zheng, R. Ji, L. Tang, B. Zhang, J. Liu, and Q. Tian, “Multinomial Distribution Learning for Effective Neural Architecture Search,” IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 27-November 2, 2019.

13. Y. Zhou, Y. Zhang, Y. Wang, and Q. Tian, “Accelerate CNN via Recursive Bayesian Pruning,” IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 27-November 2, 2019.

14. Lu Chi, Guiyu Tian, Yadong Mu, and Qi Tian, “Two-Stream Video Classification with Cross-Modality Attention,” ICCV’19 Workshop on Cross-Modal Learning in Real World (CroMoL) , pp: 4511-4520, Seoul, Korea, October 27-November 2, 2019.

15. D. Cao, Z. Yu, H. Zhang, J. Fang, L. Nie, and Q. Tian, “Video-Based Cross-Modal Recipe Retrieval,” ACM International Conference on Multimedia (ACM MM), Nice, France, October 21-25, 2019.

16. L. Chi, G. Tian, Y. Mu, L. Xie, and Q. Tian, “Fast Non-Local Neural Networks with Spectral Residual Learning,” ACM International Conference on Multimedia (ACM MM), Nice, France, October 21-25, 2019.

17. C. Li, D. Du, L. Zhang, T. Luo, Y. Wu, Q. Tian, L. Wen, and S. Lyu, “Data Priming Network for Automatic Check-Out,” ACM International Conference on Multimedia(ACM MM), Nice, France, October 21-25, 2019.

18. L. Nie, W. Wang, R. Hong, M. Wang, and Q. Tian, “Multimodal Dialog System: Generating Responses via Adaptive Decoders,” Best Paper Candidate (5 out of 800 submissions) ACM International Conference on Multimedia (ACM MM), Nice, France, October 21-25, 2019.

19. S. Yang, L. Li, S. Wang, D. Meng, Q. Huang, and Q. Tian, “Structured Stochastic Recurrent Network for Linguistic Video Prediction,” ACM International Conference on Multimedia(ACM MM), Nice, France, October 21-25, 2019.

20. Jiali Liang, Dan Zeng, Shuaijun Chen, and Qi Tian, “Related Attention Network for Person Re-Identification,” the fifth International Conference on Multimedia Big Data (BigMM), pp. 366-372, Singapore, September 11-13, 2019.

21. D. Guo, S. Wang, Q. Tian, and M. Wang, “Dense Temporal Convolution Network for Sign Language Translation,” The 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, August 10-16, 2019.

22. Z. Fang, S. Zhu, J. Yu, and Q. Tian, “PCPCAD: Proposal Complementary Action Detector,” IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, July 8-12, 2019.

23. Y. Hao, Y. Fu, Y.-G. Jiang, and Q. Tian, “An End-to-End Architecture for Class-Incremental Object Detection with Knowledge Distillation,” IEEE International Conference on Multimedia and Expo (ICME), Best Paper, Shanghai, China, July 8-12, 2019.

24. Z. Wang, J. Lu, C. Tao, J. Zhou, and Q. Tian, “Learning Channel-Wise Interactions for Binary Convolutional Neural Networks,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 25%, Long Beach, CA, USA, June 16-20, 2019.

25. Y. Duan, Y. Zheng, J. Lu, J. Zhou, and Q. Tian, “Structural Relational Reasoning of Point Clouds,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22%, Long Beach, CA, USA, June 16-20, 2019.

26. L. Liu, J. Lu, C. Xu, Q. Tian, and J. Zhou, “Deep Fitting Degree Scoring Network for Monocular 3D Object Detection,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22%, Long Beach, CA, USA, June 16-20, 2019.

27. W. Li, J. Lu, J. Feng, C. Xu, J. Zhou, and Q. Tian, “BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22%, Long Beach, CA, USA, June 16-20, 2019.

28. C. Wei, L. Xie, X. Ren, Y. Xia, C. Su, J. Liu, Q. Tian and A. Yuille, “Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22% , Long Beach, CA, USA, June 16-20, 2019.

29. C. Zhao, B. Ni, J. Zhang, Q. Zhao, W. Zhang, and Q. Tian, “Variational Convolutional Neural Network Pruning,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22%, Long Beach, CA, USA, June 16-20, 2019.

30. J. Hu, R. Ji, H. Liu, S. Zhang, C. Deng, and Q. Tian, “Towards Visual Feature Translation,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22%, Long Beach, CA, USA, June 16-20, 2019.

31. J. Yang, Q. Zhang, B. Ni, L. Li, J. Liu, M. Zhou and Q. Tian, “Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22%, Long Beach, CA, USA, June 16-20, 2019.

32. M. Li, S. Chen, X. Chen, Y. Zhang, Y. Wang, and Q. Tian, “Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22%, Long Beach, CA, USA, June 16-20, 2019.

33. Z. Yu, J. Yu, Y. Cui, D. Tao, and Q. Tian, “Deep Modular Co-Attention Networks for Visual Question Answering,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22%, Long Beach, CA, USA, June 16-20, 2019.

34. L. Zhou, P. Cui, S. Yang, W. Zhu, and Q. Tian, “Learning to Learn Image Classifiers With Visual Analogy,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), acceptance rate: 22%, Long Beach, CA, USA, June 16-20, 2019.

35. L. Huang, C. Bai, Y. Lu, S. Chen, and Q. Tian, “Adversarial Learning for Content-Based Image Retrieval,” IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, USA, March 28-30, 2019.

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Year 2018

Journal Papers

1. S. Zhang, S. Zhang, T. Huang, W. Gao, and Q. Tian, “Learning Affective Features With a Hybrid DeepModel for Audio–Visual Emotion Recognition,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 28, Issue 10, pp: 3030-3043, October 2018.

2. C. Zhang, J. Cheng, C. Li, and Q. Tian, “Image-Specific Classification with Local and Global Discriminations,” IEEE Transactions on Neural Networks and Learning Systems (NNLS), Vol. 29, Issue 9, pp: 4479-4486, September 2018.

3. C. Zhang, L. Li, C. Li, and Q. Tian, “Object Categorization Using Class-Specific Representations,” IEEE Transactions on Neural Networks and Learning Systems (NNLS), Vol. 29, Issue 9, pp: 4528-4534, September 2018.

4. C. Zhang, Q. Huang, and Q. Tian, “Bundled Local Features for Image Representation,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),  Vol. 28, Issue 8, pp: 1719-1726, August 2018.

5. S. Zhao, Y. Liu, Y. Han, R. Hong, Q. Hu, and Q. Tian, “Pooling the Convolutional Layers in Deep ConvNets for Video Action,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) , Vol. 28, Issue 8, pp: 1839-1849, August 2018.

6. L. Zheng, Y. Yang, and Q. Tian, “SIFT Meets CNN: A Decade Survey of Instance Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 40, Issue 5, pp: 1224-1244, May 2018.

7. W. Zhou, H. Li, J. Sun, and Q. Tian, “Collaborative Index Embedding for Image Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Special Issue on Learning with Shared Information for Computer Vision and Multimedia Analysis, Vol. 40, Issue 5, pp: 1154-1166, May 2018.

8. C. Su, F. Yang, S. Zhang, Q. Tian, D. Larry, and W. Gao, “Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-identification,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 40, Issue 5, pp: 1167-1181, May 2018.

9. C. Zhang, J. Cheng, and Q. Tian, “Multiview Label Sharing for Visual Representations and Classifications,” IEEE Transactions on Multimedia (TMM), Vol. 20, Issue 4, pp: 903-913, April 2018.

10. L. Li, S. Tang, Y. Zhang, L. Deng, and Q. Tian, “GLA: Global-local Attention for Image Description,” IEEE Transactions on Multimedia (TMM), Vol. 20, Issue 3, pp: 726-737, March 2018.

11. C. Su, S. Zhang, J. Xing, W. Gao, and Q. Tian, “Multi-Type Attributes Driven Multi-Camera Person Re-identification,” Pattern Recognition, Vol. 75, pp: 77-89, March 2018.

12. M. Wang, W. Zhou, Q. Tian, and H. Li, “A General Framework for Linear Distance Preserving Hashing,” IEEE Transactions on Image Processing (TIP), Vol. 27, Issue 2, pp:907-922, February 2018.

13. C. Zhang, G. Zhu, C. Liang, Y. Zhang, Q. Huang, and Q. Tian, “Image Class Prediction by Joint Object, Context, and Background Modeling,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol 28, Issue 2, pp. 428-438, February 2018.

14. L. Zhang, B. Ma, G. Li, Q. Huang, and Qi Tian, “Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval,” IEEE Transactions on Multimedia (TMM), Vol. 20, Issue 1, pp: 128-141, January, 2018.

15. H. Yao, S. Zhang, C. Yan, Y. Zhang, J. Li, and Qi Tian, “AutoBD: Automated Bi-Level Description for Scalable Fine-Grained Visual Categorization,” IEEE Transactions on Image Processing (TIP), Vol. 27, Issue 1, pp: 10-23, January 2018.

16. D. Zhang, J. Tang, G. Jin, Y. Zhang, and Q. Tian, “Region Similarity Arrangement for Large-Scale Image Retrieval,” Neurocomputing, Vol. 272, pp: 461-470, January 2018.

17. J. Pang, F. Tao, L. Lin, Q. Huang, B. Yin, Q. Tian, “A Two-Step Approach to Describing Web Topics via Probable Keywords and Prototype Images from Background-Removed Similarities.” Neurocomputing, Vol. 275, pp: 478-487, January 2018.

18. Y. Zhu, G. Tang, X. Zhang, J. Jiang, and Q. Tian, “Haze Removal Method for Natural Restoration of Images with Sky,” Neurocomputing, Vol. 275, pp: 499-510, January 2018.

19. C. Zhang, J. Cheng, and Qi Tian, “Image-level Classification by Hierarchical Structure Learning with Visual and Semantic Similarities,” Information Science, Vol. 422, pp: 271-281, January 2018.

Conference papers

1. L. Wei, S. Zhang, W. Gao, and Q. Tian, “Person Transfer GAN to Bridge Domain Gap for Person Re-Identification,” 2018 IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), spotlight paper, Salt Lake City, Utah, June 18-22, 2018.

2. X. Zhang, J. Feng, H. Xiong, and Q. Tian, “Zigzag Learning for Weakly Supervised Object Detection,” 2018 IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), poster, Salt Lake City, Utah, June 18-22, 2018.

3. N. Wang, W. Zhou, Q. Tian, R. Hong, M. Wang, and H. Li, “Multi-Cue Correlation Filters for Robust Visual Tracking,” 2018 IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), poster, Salt Lake City, Utah, June 18-22, 2018.

4. Z. Chen, X. Yuan, J. Lu, Q. Tian, and J. Zhou, “Deep Hashing via Discrepancy Minimization,” 2018 IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), poster, Salt Lake City, Utah, June 18-22, 2018.

5. L. Zheng, Y. Zhao, S. Wang, J. Wang, Y. Yang, and Q. Tian, “On the Large-Scale Transferability of the Convolutional Neural Network,” Workshop on Big Data Analytics for Social Computing (BDASC’18), Melbourne, Australia, June 3-6, 2018.

6. J. Zhang, X. Liang, Q. Tian, and L. Zhou, “A Saliency Guided Shallow Convolutional Neiral Network for Traffic Signs Retrieval,” invited oral, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), Miami, FL April 10-12, 2018.

7. Y. Lv, W. Zhou, Q. Tian, and H. Li, “Scalable Bag of Selected Deep Features for Visual Instance Retrieval,” The 24th International Conference on Multimedia Modeling (MMM), February 5-7. 2018, Bangkok, Thailand.

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Year 2017

Journal Papers

1. X. Zhang, H. Xiong, W. Zhou, and Q. Tian, “Picking Neural Activations for Fine-grained Recognition," IEEE Transactions on Multimedia (TMM), Vol. 19, Issue 12, pp: 2736-2750, December 2017.

2. D. Du, H. Qi, L. Wen, Qi Tian, Q. Huang, and S. Lyu, “Geometric Hypergraph Learning for Visual Tracking,” IEEE Transactions on Cybernetics (TCYB), Vol. 47, Issue 12, pp: 4182-4195, December 2017.

3. S. Sun, Y. Li, W. Zhou, Q. Tian, and H. Li, “Local Residual Similarity for Image Re-ranking,” Information Science, Vol. 417, pp: 143-153, November 2017.

4. X. Zhang, J. Jia, K. Gao, Y. Zhang, J. Li, J. Zhou and Qi Tian, “Trip Outfits Advisor: Location-Oriented Clothing Recommendation,” IEEE Transactions on Multimedia (TMM), Vol. 19, Issue 11, pp: 2533-2544, November 2017.

5. J. Zhang, Y. Yang, Q. Tian, L. Zhuo, and X.  Liu, “Personalized Social Image Recommendation Method Based on User-Image-Tag Model,” IEEE Transactions on Multimedia (TMM), Vol. 29, Issue 11, pp: 2439-2449, November 2017.

6. J. Zhang, L. Chen, C. Wang, L. Zhuo, Q. Tian, X. Liang, “Road Recognition from Remote Sensing Imagery Using Incremental Learning,” IEEE Transactions on Intelligent Transportation Systems, Vol. 18, Issue 11, pp: 2993-3005, November 2017.

7. F. Zhu, X. Kong, L. Zheng, H. Fu, and Q. Tian, “Part-based Deep Hashing for Large-scale Person Re-identification,” IEEE Transactions on Image Processing (TIP), Vol. 26, No. 10, pp: 4806-4817, October 2017.

8. C. Shi, G. An, R. Zhao, Q. Ruan, and Qi Tian, “Multiview Hessian Semisupervised Sparse Feature Selection for Multimedia Analysis,” IEEE Transactions Circuits and Systems for Video Technology (TCSVT), Vol. 27(9), pp: 1947-1961, September 2017.

9. G. Song, S. Wang, Q. Huang, and Q. Tian, “Multimodal Similarity Gaussian Process Latent Variable Model,” IEEE Transactions on Image Processing (TIP), Vol. 26, No. 9, pp: 4168-4181, September 2017.

10. R. Hong, L. Li, J. Cai, D. Tao, M. Wang, and Q. Tian, “Coherent Semantic-visual Indexing for Large-scale Image Retrieval in the Cloud,” IEEE Transactions on Image Processing (TIP), Vol. 26, No.9, pp. 4128-4138, September 2017.

11. C. Zhang, R. Li, Q. Huang, and Q. Tian, “Hierarchical Deep Semantic Representation for Visual Categorization,” Neurocomputing, Vol. 257, pp. 88-96, September 2017.

12. C. Zhang, Q. Huang, and Q. Tian, “Contextual Exemplar Classifier-Based Image Representation for Classification,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 27, Issue 8, pp. 1691-1699, Aug. 2017.

13. B. Wu, J. Jia, Y. Yang, P. Zhao, J. Tang, and Q. Tian, “Inferring Emotional Tags From Social Images with User Demographics,” IEEE Transactions on Multimedia (TMM), Vol. 19, No. 7, pp: 1670-1684, July 2017.

14. C. Zhang, C. Liang, L. Li, J. Liu, Q. Huang, and Q. Tian, “Fine-Grained Image Classification via Low-Rank Sparse Coding With General and Class-Specific Codebooks,” IEEE Transactions on Neural Network Learning System (TNNLS), Vol. 28, No. 7, pp:1550-1559, July 2017.

15. Z. Liu, S. Wang, L. Zheng, and Q. Tian, “Robust ImageGraph: Rank-Level Feature Fusion for Image Search,” IEEE Transactions on Image Processing (TIP), Vol. 26, Issue 7, pp: 3128-3141, July 2017.

16. S. Bai, X. Bai, Z. Zhou, Z. Zhang, Q. Tian, and L. Latecki, “GIFT: Towards Scalable 3D Shape Retrieval,” IEEE Transactions on Multimedia (TMM), Vol. 19, No. 6, pp: 1257-1271, June 2017.

17. L. Zhang, B. Ma, G. Li, Q. Huang, and Q. Tian, “Cross-Modal Retrieval Using Multiordered Discriminative Structured Subspace Learning,” IEEE Transactions on Multimedia (TMM), Vol. 19, No. 6, pp: 1220-1233, June 2017.

18. L. Xie, J. Wang, W. Lin, B. Zhang, and Q. Tian, “Towards Reversal-Invariant Image Representation,” International Journal of Computer Vision (IJCV), Vol. 123(2), pp: 226-250, June, 2017.

19. C. Su, S. Zhang, F. Yang, G. Zhang, Q. Tian, W. Gao, and L. Davis, “Attributes Driven Tracklet-to-Tracklet Person Re-Identification Using Latent Prototypes Space Mapping,” Pattern Recognition, Vol. 66, pp.4-15, June 2017.

20. B. Yan, W. Tan, K, Li, and Q. Tian, “Codebook Guided Feature-Preserving for Recognition-Oriented Image Retargeting,” IEEE Transactions on Image Processing (TIP), Vol. 26, No. 5, pp: 2454-2465, May 2017.

21. D. Zeng, T. Zhang, R. Fang, W. Shen, and Q. Tian, “Neighborhood Geometry Based Feature Matching for Geostationary Satellite Remote Sensing Image,” Neurocomputing, Vol. 236, pp.65-72, May 2017.

22. T. Yao, X. Kong, F. Hai, and Q. Tian, “Supervised Coarse-to-Fine Semantic Hashing for Cross-Media Retrieval,” Digital Signal Processing, Vol. 63, pp.135-144, April 2017,

23. Z. Jin, J. Cao, Y. Zhang, J. Zhou, and Q. Tian, “Novel Visual and Statistical Image Features for Microblogs News Verification,” IEEE Transactions on Multimedia (TMM), Vol. 19, No.3, pp: 598-608, March 2017.

24. X. Yang, M. Wang, R. Hong, Q. Tian, and Y. Rui, “Enhancing Person Re-identification in a Self-Trained Subspace,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 13, Issue 3, 27:1-27, March 2017.

25. J. Tang, S. Chang, G. Qi, Q. Tian, Y. Rui, and T. S. Huang, “LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia,” IEEE Transactions on Image Processing (TIP), Vol. 26, No. 1, pp. 196-207, January 2017.

26. Y. Zhu, J. Jiang, W. Han, Y. Ding, and Q. Tian, “Interpretation of Users’ Feedback via Swarmed Particles for Content-Based Image Retrieval,” Information Sciences, Vol. 375, pp. 246-257, January 2017.

27. C. Zhang, G. Zhu, Q. Huang, and Q. Tian, “Image Classification by Search with Explicitly and Implicitly Semantic Representations,” Information Sciences, Vol. 376, pp. 125-135, January 2017.

Conference papers

1. L. Liao, K. Li, Qi Tian, and C. Yang, “Automatic Density Clustering with Multiple Kernels for High-Dimension Bioinformatics Data,”  2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2105-2112, Kansas City, MO, Nov. 13-16, 2017.

2. C. Su, J. Li, S. Zhang, J. Xing, W. Gao and Q. Tian, “Pose-driven Deep Convolutional Model for Person Re-identification,” International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.

3. S. Bai, Z. Zhou, J, Wang, X. Bai, L. Latecki, and Q. Tian, “Ensemble Diffusion for Retrieval,” Oral, International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.

4. G. Song, S. Wang, Q. Huang, and Q. Tian, “Multimodal Gaussian Process Latent Variable Models,” International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.

5. Y. Wang, L. Xie, C. Liu, S. Qiao, Y. Zhang, W. Zhang, Q. Tian, and A. Yuille, “SORT: Second-Order Response Transform for Visual Recognition,” International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.

6. H. Yao, S. Zhang, Y. Zhang, J. Li, and Q. Tian, “One-Shot Fine-Grained Instance Retrieval,” ACM Multimedia, long paper(poster), acceptance ratio 28% (141 posters and 50 orals out of 675 submissions), Mountain View, CA, October 23-27, 2017.

7. M. Wang, W. Zhou, Q. Tian and H. Li, “Deep Supervised Quantization by Self-Organized Map,” ACM Multimedia, long paper (poster), acceptance ratio 28% (141 posters and 50 orals out of 675 submissions), Mountain View, CA, October 23-27, 2017.

8. L. Zhang, B. Ma, G. Li, Q. Huang and Q. Tian, “Multi-Networks Joint Learning for Large-Scale Cross-Modal Retrieval,” ACM Multimedia, long paper (poster), acceptance ratio 28% (141 posters and 50 orals out of 675 submissions), Mountain View, CA, October 23-27, 2017.

9. L. Nie, X. Wang, J. Zhang, X. He, H. Zhang, R. Hong and Q. Tian, “Enhancing Micro-video Understanding by Harnessing External Sounds,” ACM Multimedia, long paper(oral), acceptance ratio 7.5% (50 orals out of 675 submissions), Mountain View, CA, October 23-27, 2017.

10. L. Wei, S. Zhang, H. Yao, W. Gao and Qi Tian, “GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval,” ACM Multimedia, long paper, acceptance ratio 28% (141 out of 675 submissions), Mountain View, CA, October 23-27, 2017.

11. C. Shi, L. Zhao, L. Liu, J. Liu, and Q. Tian, “Structured Multi-view Supervised Feature Selection Algorithm Research,” CCF Chinese Conference on Computer Vision (CCCV), pp: 149-157, Tianjin, China, October 11-14, 2017.

12. X. Liu, S. Zhang, T. Huang and Q. Tian, “E2BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network,” ChinaMM, Septermber 15-17, 2017, Nanjing, P.R. China.

13. Y. Li, L. Zhuo, J. Li, J. Zhang, X. Liang, and Q. Tian, “Video-based Person Re-identification by Deep Feature Guided Pooling,” IEEE CVPR workshop on Target Re-Identification and Multi-Target Multi-Camera Tracking (REID-MTMCT), Honolulu, HI, July 21, 2017.

14. L. Zhang, B. Ma, G. Li, Q. Huang, and Q. Tian, “Adaptively Unified Semi-Supervised Learning for Cross-Modal Retrieval,” the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), August 19-25, 2017, Melbourne, Australia.

15. H. Yao, S. Zhang, D. Zhang, Y. Zhang, J. Li, Y. Wang, and Q. Tian, “Large-scale Person Re-Identification as Retrieval,” IEEE International Conference on Multimedia and Expo (ICME), July 10-14, 2017, Hong Kong.

16. L. Zheng, H. Zhang, S. Sun, M. Chandraker, and Q. Tian, “Person Re-Identification in the Wild,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), spotlight paper, Honolulu, Hawaii, July 21-26, 2017.

17. S. Bai, X. Bai, and Q. Tian, “Scalable Person Re-identification on Supervised Smoothed Manifold,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), spotlight paper, Honolulu, Hawaii, July 21-26, 2017.

18. X. Zhang, K. Gao, Y. Zhang, D. Zhang, and Q. Tian, “Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, July 21-26, 2017.

19. X. Chen, J. Wu, S. Sun and Q. Tian, “Multi-Index Fusion via Similarity Matrix Pooling for Image Retrieval,” 2017 IEEE International Conference on Communications (ICC), May 21-25, 2017, Paris, France.

20. S. Bai, X. Bai, L. Latecki, and Q. Tian, “Multidimensional Scaling on Multiple Input Distance Matrices,” The 31st AAAI conference on Artificial Intelligence (AAAI), February 4-9, 2017, San Francisco, CA, USA.

21. S. Bai, X. Bai, Q. Tian and L. Latecki, “Regularized Diffusion Process for Visual Retrieval,” The 31st AAAI conference on Artificial Intelligence (AAAI), February 4-9, 2017, San Francisco, CA, USA.

22. L. Li, S. Tang, L. Deng, Y. Zhang, and Q. Tian, “Image Caption with Global-Local Attention,” The 31st AAAI conference on Artificial Intelligence (AAAI), February 4-9, 2017, San Francisco, CA, USA.

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Year 2016

Journal Papers:

1. Y. Li, S. Wang, Q. Tian, and X. Ding, “A Boosting Approach to Exploit Instance Correlations for Multi-Instance Classification,” IEEE Transactions on Neural Networks and Learning Systems(TNNLS), Vol. 27, No. 12, December 2016.

2. Z. Gao, J. Xue, W. Zhou, S. Pang and Q. Tian, “Democratic Diffusion Aggregation for Image Retrieval,” IEEE Transactions on Multimedia (TMM), Vol. 18, No. 8, pp: 1661-1674, August 2016.

3. L. Zheng, S. Wang, J. Wang, and Q. Tian, “Accurate Image Search with Multi-Scale Contextual Evidences,” International Journal of Computer Vision (IJCV), Vol. 120, No. 1, pp. 1-13, October 2016.

4. L. Xie, Q. Tian, and B. Zhang, “Simple Techniques Make Sense: Feature Pooling and Normalization for Image Classification,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 26, No. 7, pp 1251-1264, July 2016.

5. X. Cao C. Zhang, H. Fu, X. Guo, and Q. Tian, “Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 27, No. 6, pp: 1253-1265, June 2016.

6. S. Sun, W. Zhou, Q. Tian, and H. Li, “Scalable Object Retrieval with Compact Image Representation from Generic Object Regions,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 12, No. 2, article 29:1-21, March 2016.

7. L. Xie, J. Wang, B. Zhang, and Q. Tian, “Incorporating visual adjectives for image classification,” Neurocomputing, 182:48-55, 2016.

8. D. Zeng, X. Bao, K. Liu, F. Zhao, and Q. Tian, “Face database generation based on text-video correlation,” Neurocomputing, 207: 240-249, 2016.

9. T. Yao, X. Kong, H. Fu, and Q. Tian, “Semantic consistency hashing for cross-modal retrieval,” Neurocomputing, 193:250-259, 2016.

10. Y. Zhu, X. Huang, Q. Huang, and Q. Tian, “Large-scale Video Copy Retrieval with Temporal-concentration SIFT,” Neurocomputing, 187:83-91, 2016.

11. C. Zhang, Y. Zhang, X. Zhu, Z. Xue, L. Qin, Q. Huang, and Q. Tian, “Socio-Mobile Landmark Recognition Using Local Features with Adaptive Region Selection,” Neurocomputing, 172: 100-113, 2016.

12. Z. Liu, S. Wang, and Q. Tian, “Fine-Residual VLAD for Image Search,” Neurocomputing, 173: 1183-1191, January 2016.

13. X. Zhang, H. Xiong, W. Zhou, and Q. Tian, “Fused One-vs-All Features with Semantic Alignments for Fine-Grained Visual Categorization?” IEEE Transactions on Image Processing (TIP), Vol: 25, No. 2, pp. 878-892, February, 2016.

14. Z. Liu, H. Li, W. Zhou, T. Rui, and Q. Tian, “Making Residual Vector Distribution Uniform for Distinctive Image Representation,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 26, No.2, pp: 375-384, 2016.

15. W. Tan, B. Yan, K. Li, and Q. Tian, “Image Retargeting for Preserving Robust Local Feature: Application to Mobile Visual Search,” IEEE Transactions on Multimedia (TMM), Vol. 18, No.1, pp. 128-137, January 2016.

16. W. Zhou, M. Yang, X. Wang, H. Li, Y. Lin, and Q. Tian, “Scalable Feature Matching by Dual Cascaded Scalar Quantization for Image Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 38, No. 1, pp. 159-171, January 2016.

Conference Papers:

1. X. Wang. W. Zhou, Q. Tian, and H. Li, “Adaptively Weighted Graph Fusion for Image Retrieval,” The 8th International Conference on Internet Multimedia Computing and Service (ICIMCS), pp. 18-21, Xi’an, China, August 19-21, 2016.

2. Y. Yang. J. Zhang, L. Zhuo, Q. Tian, and J. Liu, “Creating Descriptive Visual Word Tree for Tag Ranking of Social Image,” The 8th International Conference on Internet Multimedia Computing and Service (ICIMCS), pp. 172-176, Xi’an, China, August 19-21, 2016.

3. J. Tang, D. Zhang, Y. Zhang, and Q. Tian, “Region similarity arrangement for image retrieval,” IEEE International Conference on Multimedia and Expo (ICME), July 11-15, 2016, Seattle, WA, USA.

4. M. Wang, W. Zhou, Q. Tian, Z. Zha, and H. Li, “Linear Distance Preserving Pseudo-Supervised and Unsupervised Hashing,” ACM Multimedia (MM), Full Paper, October 15-19, 2016, Amsterdam, the Netherlands.

5. L. Zhang, B. Ma, G. Li, Q. Huang, and Q. Tian, “PL-ranking: A Novel Ranking Method for Cross-Modal Retrieval,” ACM Multimedia (MM), Full Paper, October 15-19, 2016, Amsterdam, the Netherlands.

6. Y. Li, X. Kong, L. Zheng, and Q. Tian, “Exploiting Hierarchical Activations of Neural Network for Image Retrieval,” ACM Multimedia (MM), Short Paper, October 15-19, 2016, Amsterdam, the Netherlands.

7. J. Liu, Z. Zha, Q. Tian, T. Yao, Q. Ling, and T. Mei, “Multi-Scale Triplet Deep CNN for Person Re-Identification,” ACM Multimedia (MM), Short Paper, October 15-19, 2016, Amsterdam, the Netherlands.

8. L. Xie, Q. Tian, J. Flynn, J. Wang, and A. Yuille, “Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons,” European Conference on Computer Vision (ECCV), October 8-16, 2016, Amsterdam, the Netherlands.

9. C. Su, S. Zhang, J. Xing, W. Gao, and Q. Tian, “Deep Attributes Driven Person Re-identification,” European Conference on Computer Vision (ECCV), October 8-16, 2016, Amsterdam, the Netherlands.

10. S. Bai, S. Sun, X. Bai, Z. Zhang, and Q. Tian, “Smooth Neighborhood Structure Mining on Multiple Affinity Graphs with Applications to Context-sensitive Similarity,” European Conference on Computer Vision (ECCV), October 8-16, 2016, Amsterdam, the Netherlands.

11. L. Zheng, Z. Bie, Y. Sun, J. Wang, C. Su, S. Wang, and Q. Tian, “MARS: A Video Benchmark for Large-Scale Person Re-identification,” European Conference on Computer Vision (ECCV), October 8-16, 2016, Amsterdam, the Netherlands.

12. J. Cai, J. Yu, F. Imai, and Q. Tian, “Towards Temporal Adaptive Representation for Video Action Recognition,” IEEE International Conference on Image Processing (ICIP), September 25-28, 2016, Phoenix, AZ, USA.

13. L. Li, S. Tang, B. Wang, Y. Zhang, and Q. Tian, “Category Aggregation Among Region Proposals For Object Detection,” the 2016 Pacific-rim Conference on Multimedia (PCM), oral, September 15-16, 2016, Xi’an, China.                    

14. M. Wang, W. Zhou, Q. Tian, and H. Li, “Sparse Matrix based Hashing for Approximate Nearest Neighbor Search,” the 2016 Pacific-rim Conference on Multimedia (PCM), oral, September 15-16, 2016, Xi’an, China.          

15. L. Xie, J. Wang, Z. Wei, M. Wang, and Q. Tian, “DisturbLabel: Regularizing CNN on the Loss Layer,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 26-July 1, 2016, Las Vegas, NV, USA.

16. L. Xie, J. Wang, A. Yuille, and Q. Tian, “InterActive: Inter-Layer Activeness Propagation,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 26-July 1, 2016, Las Vegas, NV, USA.

17. Y. Zhou, B. Ni, R. Hong, X. Yang, and Q. Tian, “Cascaded Interactional Targeting Network for Egocentric Video Analysis,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 26-July 1, 2016, Las Vegas, NV, USA.

18. X. Zhang, H. Xiong, W. Zhou, W. Lin, and Q. Tian, “Picking Deep Filter Responses for Fine-grained Image Recognition,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 26-July 1, 2016, Las Vegas, NV, USA.

19. Q. Zhou, J. Zhang, Q. Tian, L. Zhuo, W. Geng, “Automatic Endmember Extraction Using Pixel Purity Index for Hyperspectral Imagery,” International Conference on Multimedia Modeling (MMM), January 4-6, 2016, Miami, FL, USA.

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Year 2015

Journal Papers:

1. S. Zhang, M. Yang, X. Wang, Y. Lin, and Q. Tian, “Semantic-aware Co-indexing for Image Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 37, No. 12, pp. 2573-2587, December 2015.

2. C. Zhang, J. Cheng, J. Liu, J. Pang, Q. Huang, and Q. Tian, “Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks,” IEEE Transactions on Image Processing (TIP), Volume 24, No. 12, pp. 5777-5788, December 2015.

3. S. Zhang, X. Wang, Y. Lin, and Q. Tian, “Cross Indexing with Grouplets,” IEEE Transactions on Multimedia (TMM), Vo. 17, No. 11, pp. 1969-1979, November 2015.

4. Y. Gu, X. Qian, Q. Li, M. Wang, R. Hong, and Q. Tian, “Image Annotation by Latent Community Detection and Multikernel Learning,” IEEE Transactions on Image Processing (TIP), Volume 24, No. 11, pp. 3450-3463, November 2015.

5. L. Xie, Q. Tian, W. Zhou, and B. Zhang, “Heterogeneous Graph Propagation for Large-Scale Web Image Search,” IEEE Transactions on Image Processing (TIP), Vo. 24, No. 11, pp. 4287-4298, November 2015.

6. X. Yang, X. Gao, and Q. Tian, “Polar Embedding for Aurora Image Retrieval,” IEEE Transactions on Image Processing (TIP), Vo. 24, No. 11, pp. 3332-3344, November 2015.

7. R. Hong, Z. Hu, Q. Liu, M. Wang, S. Yan, and Q. Tian, “Understanding Blooming Human Groups in Social Networks,” IEEE Transactions on Multimedia (TMM), Vol. 17, No. 11, pp. 1980-1988, November 2015.

8. J. Ji, J. Li, Q. Tian, S. Yan, and B. Zhang, “Angular-Similarity-Preserving Binary Signatures For Linear Subspaces,” IEEE Transactions on Image Processing (TIP), Vol. 24, No. 11, pp. 4372-4380, November 2015.

9. Y. Li, S. Wang, Q. Tian, and X. Ding, “A Survey of Recent Advances in Visual Feature Detection,” Neurocomputing, Volume 149 Part B, pp.736-751, 2015.

10. Y. Li, S. Wang, Q. Tian, and X. Ding, “Feature Representation for Statistical-Learning-based Object Detection: A Review,” Pattern Recognition, 48(11): 3542-3559, 2015.

11. S. Sun, W. Zhou, Q. Tian, and H. Li, “Scalable Object Retrieval with Compact Image Representation from Generic Object Regions,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 12, No. 2, article 29:1-21, March 2016.

12. X. Tian, L. Yang, Y. Lu, Q. Tian, and D. Tao, “Image Search Reranking with Hierarchical Topic Awareness,” IEEE Transactions on Cybernetics, Vol.45, No. 10, pp. 2177-2189, October 2015.

13. L. Zhang, M. Wang, L. Nie, L. Hong, Y. Rui, and Q. Tian, “Retargeting Semantically-Rich Photos,” IEEE Transactions on Multimedia (TMM), Vol. 17, No. 9, pp. 1538-1549, September 2015.

14. L. Zhang, Y. Zhang, R. Hong, and Q. Tian, “Full-Space Local Topology Extraction for Cross-Modal Retrieval,” IEEE Transactions on Image Processing (TIP), Volume 24(7), pp. 2212-2224, July 2015.

15. R. Ji, Y. Gao, W. Liu, X. Xie, Q. Tian, and X. Li, “When Location Meets Social Multimedia: A Survey on Vision-Based Recognition and Mining for Geo-Social Multimedia Analytics,” ACM TIST, Volume 6(1): 1:1-1:18, 2015.

16. W. Zhou, H. Li, R. Hong, Y. Lu, and Q. Tian, “BSIFT: Toward Data-Independent Codebook for Large Scale Image Search,” IEEE Transactions on Image Processing (TIP), Volume 24(3): 967-979, March 2015.

17. W. Zhou, H. Li, Y. Lu, M. Wang, and Q. Tian, “Visual Word Expansion and BSIFT Verification for Large-Scale Image Search,” Multimedia Systems Journal (MMSJ), Volume 21(3): pp. 245-254, 2015.

18. C. Zhang, J. Cheng, Y. Zhang, J. Liu, C. Liang, J. Pang, Q. Huang, and Q. Tian, “Image Classification Using Boosted Local Features with Random Orientation and Location Selection,” Information Science, Volume 310, pp.118-129, 2015.

19. C. Zhang, X. Zhu, L. Li, Y. Zhang, J. Liu, Q. Huang, and Q. Tian, “Joint Image Representation and Classification in Random Semantic Spaces,”  Neurocomputing, Volume 156, pp. 79-85, 2015.

20. S. Zhou, D. Zeng, W. Shen, Z. Zhang, and Q. Tian, “Fast Large-scale Object Retrieval with Binary Quantization,” Journal of Electronic Imaging, Vol 24(6):063018, Nov/Dec 2015.

21. S. Pang, J. Xue, Z. Gao, and Q. Tian, “Image Re-Ranking with An Alternating Optimization,” Neurocomputing, Volume 165, pp. 423-432, 2015.

22. S. Wang, F. Zhuang, S. Jiang, Q. Huang, and Q. Tian, “Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval,” Neurocomputing, Volume 168, pp.747-760, 2015.

23. L. Zheng, S. Wang, Z. Liu, and Q. Tian, “Fast Image Retrieval: Query Pruning and Early Termination by Impact Score and Quantized Index,” IEEE Transactions on Multimedia (TMM), Vol. 17(5), pp. 648-659, 2015.

24. L. Xie, J. Wang, B. Zhang, and Q. Tian, “Fine-Grained Image Search,” IEEE Transactions on Image Processing (TIP), Vol. 17(5), pp. 636-647, May 2015.

25. Z. Niu, G. Hua, Q. Tian, and X. Gao, “Visual Topic Network: Building Better Image Representation for Images in Social Media,” Journal of Computer Vision and Image Understanding (CVIU), 136: 3-13, 2015.

26. Z. Liu, H. Li, R. Hong, W. Zhou and Q. Tian, “Uniting Keypoints: Local Visual Information Fusion for Large Scale Image Search,” IEEE Transactions on Multimedia (TMM), Vol. 17(4), pp. 538-548, April 2015.

27. J. Cai, Z. Zha, M. Wang, S. Zhang, and Q. Tian, “An Attribute-assisted Reranking Model for Web Image Search,” IEEE Transactions on Image Processing (TIP), Vol. 24, Issue 1, pp.261-272. January 2015.

28. L. Zheng, S. Wang, P. Guo, H. Liang, and Q. Tian, “Tensor Index for Large Scale Image Retrieval, ” Multimedia Systems Journal (MMSJ), 21(6):569-579-254, 2015.

29. D. Zhuang, D. Zhang, J. Li, and Q. Tian, “Binary Feature from Intensity Quantization and Weakly Spatial Contextual Coding for Image Search,” Journal of Information Science, Vol. 302, pp. 94-107, 2015.

30. S. Zhang, Q. Tian, Q. Huang, W. Gao, and Y. Rui, “Multi-order Visual Phrase for Scalable Partial-Duplicate Visual Search, ” Multimedia Systems Journal, 21(2), pp. 229-241, 2015.
    

Conference Papers:

1. G. Song, S. Wang, Q. Huang, and Q. Tian, “Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis,” International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015.

2. L. Zheng, S. Wang, J. Wang, L. Shen, J. Bu, and Q. Tian, “Scalable Person Re-identification: A Benchmark,” International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015.

3. C. Su, F. Yang, S. Zhang, Q. Tian, L. Davis, W. Gao, “Multi-Task Learning with Low Rank Attribute Embedding for Person Re-identification,” International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015.

4. L. Xie, J. Wang, W. Lin, B. Zhang, and Q. Tian, “RIDE: Reversal Invariant Descriptor Enhancement,” International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015.

5. X. Xie, W. Zhou, H. Li, and Q. Tian, “Rank-aware Graph Fusion with Contextual Dissimilarity Measurement for Image Retrieval,” IEEE International Conference on Image Processing (ICIP), Quebec City, Canada, Sep. 27-30, 2015.

6. L. Li, Y. Guo, L. Xie, X. Kong, and Q. Tian, “Fine-Grained Visual Categorization with Fine-Tuned Segmentation,” IEEE International Conference on Image Processing (ICIP), Quebec City, Canada, Sep. 27-30, 2015.

7. H. Yao, S. Zhang, F. Xie, Y. Zhang, D. Zhang, and Q. Tian, “Orientational Spatial Part Modeling for Fine-Grained Visual Categorization,” IEEE 4th International Conference on Mobile Services(MS), June 27-July 2, 2015, MS 2015 Special Track - Mobile Augmented Reality, New York, USA.

8. C. Su, F. Yang, G. Zhang, Q. Tian, W. Gao, and L. Davis, “Tracklet-to-tracklet Person Re-identification by Attributes with Discriminative Latent Space Mapping,” IEEE 4th International Conference on Mobile Services(MS), June 27-July 2, 2015, MS 2015 Special Track - Mobile Augmented Reality, New York, USA.

9. L. Zheng , S.Wang, L. Tian, F. He, and Q. Tian, “Query-Adaptive Late Fusion for Image Search and Person Re-identification,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, June 8-10, 2015

10. Y. Zhou, B. Ni, R. Hong, M. Wang, and Q. Tian, “Interaction Part Mining: A Mid-Level Approach for Fine-Grained Action Recognition,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, June 8-10, 2015.

11. L. Xie, R. Hong, B. Zhang, and Q.Tian, “Image Classification and Retrieval are ONE,” ACM International Conference on Multimedia Retrieval (ICMR), long paper, June 23-26, 2015, Shanghai, P. R. China.

12. Z. Gao, J. Xue, W. Zhou, S. Pang, and Q.Tian, “Fast Democratic Aggregation and Query Fusion for Image Search,” ACM International Conference on Multimedia Retrieval (ICMR), long paper, June 23-26, 2015, Shanghai, P. R. China.

13. Z. Mao, Y. Zhang, and Q. Tian, “Hierarchical Encoding of Binary Descriptors for Image Matching,” ACM International Conference on Multimedia Retrieval (ICMR), long paper, June 23-26, 2015, Shanghai, P. R. China.

14. J. Cai, M. Merler, S. Pankani, and Q. Tian, “Heterogeneous Semantic Level Features Fusion for Action Recognition,” ACM International Conference on Multimedia Retrieval (ICMR), long paper, June 23-26, 2015, Shanghai, P. R. China.

15. Y. Zhou, D. Zeng, S. Zhang, and Q. Tian, “Augmented Feature Fusion for Image Retrieval System,” ACM International Conference on Multimedia Retrieval (ICMR), short paper, June 23-26, 2015, Shanghai, P. R. China.

16. J. Cai, R. Hong, M. Wang, and Qi Tian, “Exploring Feature Space with Semantic Attributes,” oral, IEEE International Conference on Multimedia and Expo (ICME), June 29-July 3, 2015, Torino, Italy.

17. L. Xie, Q. Tian, and B. Zhang, “Image Classification with Max-SIFT Descriptor,” the 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 19-24, 2015.

18. L. Xie, Q. Tian, and B. Zhang, “Generalized Regular Spatial Pooling for Image Classification,” the 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 19-24, 2015.

19. L. Zheng, S. Wang, and Q. Tian, “Coloring Image Search with Coupled Multi-Index,” 3rd IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), July 12-15, 2015, Chengdu, China.

20. Y. Cao, J. Zhang, Q. Tian, L. Zhuo, Q. Zhou, “Salient Target Detection in Hyperspectral Images using Spectral Saliency,” 3rd IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), July 12-15, 2015, Chengdu, China.

21. G. Song, S. Wang, Q. Huang, and Q. Tian, “Fusing Features and Similarity for Multimodal Search,” 3rd IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), July 12-15, 2015, Chengdu, China.

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Year 2014

Journal Papers:

1. Q. Luo, S. Zhang, T. Huang, W. Gao and Q. Tian, “Indexing Heterogeneous Features with Superimages,” to appear in International Journal of Multimedia Information Retrieval (IJMIR), September 2014.

2. W. Zhou, H. Li, Y. Lu, and Q. Tian, “Encoding Spatial Context for Large-Scale Partial-Duplicate Web Image Retrieval,” Journal of Computer Science and Technology, Volume 29, Issue 5, pp. 837-848, September 2014.

3. S. Pang, J. Xue, Q. Tian, and N. Zheng, “Exploiting Local Linear Geometric Structure for Identifying Correct Matches,” Computer Vision and Image Understanding, Vol. 128, pp. 51-64, November 2014.

4. J. Wang, B. Wang, L. Duan, Q. Tian, and H. Lu, “Interactive Ads Recommendation with contextual Search on Product Topic Space,” Multimedia Tools and Applications (MTA), Vol. 70, pp. 799-820, 2014.

5. J. Ji, S. Yan, G. Guo, J. Li, Q. Tian, B. Zhang, “Batch-Orthogonal Locality-Sensitive Hashing for Angular Similarity,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI),Vol. 36, No. 10, pp. 1963-1974, October 2014.

6. Y. Zhang, Z. Mao, J. Li, and Q. Tian, “Salient Region Detection for Complex Background Images Using Integrated Features,” Information Science, Vol. 281, pp. 586-600, October 2014.

7. C. Zhang, J. Cheng, J. Liu, J. Pang, C. Liang, Q. Huang, and Qi Tian, “Object Categorization in Sub-semantic Space,” Neurocomputing, Vol. 142, pp. 248-255, October, 2014.

8. S. Chen, S. Li, S. Su, Q. Tian, and R. Ji, “Online MIL tracking with instance-level semi-supervised learning,” Neurocomputing, Vol. 139, pp. 272-288, September, 2014.

9. L. Zheng, S. Wang, and Q. Tian, “Coupled Binary Embedding for Large-scale Image Retrieval,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 8, pp. 3368-3380, August, 2014.

10. L. Zheng, S. Wang, and Q. Tian, “Lp-norm IDF for Scalable Image Retrieval,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 8, pp. 3368-3380, August, 2014.

11. S. Zhang, Q. Tian, Q. Huang, W. Gao, and Y. Rui, “USB: Ultra Short Binary Descriptor for Fast Visual Matching and Retrieval,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 8, pp. 3671-3683, August, 2014.

12. L. Xie, Q. Tian, W. Zhou, and B. Zhang, “Fast and Accurate Near-Duplicate Image Search with Affinity Propagation on the ImageWeb,” Computer Vision and Image Understanding (CVIU), Special Issue on Large Scale Multimedia Semantic Indexing, Vol. 124, pp. 31-41, July 2014.

13. L. Zhang, Y. Zhang, and Q. Tian, “Scalable Similarity Search with Topology Preserving Hashing,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 7, pp. 3025-3039, April, 2014.

14. Z. Cheng. L. Qin, Q. Huang, S. Yan, and Q.Tian, “Recognizing Human Group Action by Layered Model with Multiple Cues,” Neurocomputing, Vol. 136, pp. 124-135, July 2014.

15. S. Zhang, Q. Tian, Q. Huang, W. Gao, and Y. Rui, “Cascade Category-Aware Visual Search,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 6, pp. 2514-2527, June 2014.

16. Y. Zhang, L. Zhang, and Q. Tian, “A Prior-Free Weighting Scheme for Binary Code Ranking,” IEEE Transactions on Multimedia (TMM), Vol. 16, No. 4, pp. 1127-1139, June, 2014.

17. L. Xie, Q. Tian, M. Wang, and B. Zhang, “Spatial Pooling of Heterogeneous Features for Image Classification,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 5, pp: 1994-2008, May 2014.

18. Z. Liu, H. Li, L. Zhang, W. Zhou, and Q. Tian, “Cross-indexing of Binary SIFT Codes for Large-Scale Image Search,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 5, pp: 2047-2057, May 2014.

19. Z. Liu, H. Li, W. Zhou, R. Zhao and Q. Tian, “Contextual Hashing for Large-scale Image Search,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 4, pp: 1606-1614, April 2014.

20. W. Zhou, M. Yang, X. Wang, H. Li, Y. Lin, and Q. Tian, “Towards Codebook-free: Scalable Cascaded Hashing for Mobile Image Search,” IEEE Transactions on Multimedia(TMM), Special Issue on Socio-Mobile Media Analysis and Retrieval, Vol. 16, No. 3, pp: 601-611, April 2014.

21. Y. Li, S. Wang, Q. Tian, and X. Ding, “Learning Cascaded Shared-Boost Classifiers for Part-based Object Detection,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 4, pp: 1858-1871, April 2014.

22. S. Zhang, Q. Tian, Q. Huang, and Y. Rui, “Embedding Multi-order Spatial Clues for Scalable Visual Matching and Retrieval,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), Special Issue on Content-aware Visual Systems: Analysis, Streaming and Retargeting, Vol. 4, No. 1, pp: 130-141, March 2014.

23. L. Zhang, Y. Gao, R. Zimmermann, Q. Tian, and X. Li, “Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 3, pp. 1419-1429, March 2014.

24. S. Liu, P. Cui, H. Luan, W. Zhu, S. Yang, and Q. Tian, “Social-oriented Visual Image Search,” Computer Vision and Image Understanding (CVIU), Vol. 118, pp.30-39, January 2014.

25. T. Mei, Y. Rui, S. Li, and Q. Tian, “Multimedia Search Reranking: A Literature Survey,” ACM Computing Survey, Vol. 46, Issue 3, January, Article No. 38, 2014.

26. S. Zhang, Q. Tian, G. Hua, Q. Huang and W. Gao, “ObjectPatchNet: Towards Scalable and Semantic Image Annotation and Retrieval,” Computer Vision and Image Understanding (CVIU), Special Issue on Learning from Multiple Evidence for Large Scale Multimedia Analysis, Vol. 118, pp. 16-29, January 2014.

Conference Papers:

1. Q. Luo, S. Zhang, T. Huang, W. Gao, and Q. Tian, “Hybrid-Indexing Multi-type Features for Large-scale Image Search,” Asian Conference on Computer Vision (ACCV), Singapore, Nov. 1-5, 2014.

2. S. Liu, P. Cui, W. Zhu, S. Yang, and Q. Tian, “Social Embedding Image Distance Learning,” ACM Multimedia, acceptance rate <20%, Full paper, Orlando, FL, November 3-7, 2014.

3. X. Zhang, H. Xiong, W. Zhou, and Q. Tian, “Fused One-vs-All Mid-Level Features for Fine-Grained Visual Categorization,” ACM Multimedia, acceptance rate <20%, Full paper, Orlando, FL, November 3-7, 2014.

4. L. Zhang, Y. Gao, C. Zhang, H. Zhang, Q. Tian, and R. Zimmermann, “Perception-Guided Multimodal Feature Fusion for Photo Aesthetics Assessment,” ACM Multimedia, acceptance rate <20%, Full paper, Orlando, FL, November 3-7, 2014.

5. S. Pang, J. Xue, Z. Gao, and Q. Tian, “Image Re-ranking with an Alternating Optimization,” ACM Multimedia, Short paper, Orlando, FL, November 3-7, 2014.

6. Z. Niu, S. Zhang, X. Gao, and Q. Tian, “Personalized Visual Vocabulary Adaption for Social Image Retrieval,” ACM Multimedia, Short paper, Orlando, FL, November 3-7, 2014.

7. G. Ren, J. Cai, S. Li, N. Yu, and Q. Tian, “Salable Image Search with Reliable Binary Code,” ACM Multimedia, Short paper, Orlando, FL, November 3-7, 2014.

8. L. Xie, Q. Tian, and B. Zhang, “Max-SIFT: Flipping Invariant Descriptors for Web Logo Search,”the IEEE International Conference on Image Processing (ICIP), Paris, France, October 27-30, 2014.

9. D. Zhuang, D. Zhang, J. Li, Q. Tian, and K. Lv, “Hamming Embedding with Fragile Bits for Image Search,” the IEEE International Conference on Image Processing (ICIP), Paris, France, October 27-30, 2014.

10. Z. Wang, F. Wu, Y. Han, J. Luo, Q. Tian, and Y. Zhuang, “Attribute Predication with Long-Range Interactions via Path Coding,” the IEEE International Conference on Image Processing (ICIP), Paris, France, October 27-30, 2014.

11. Y. Zhou, B. Ni, S. Yan, P. Moulin, and Q. Tian, “Pipelining Localized Semantic Features for Fine-Grained Action Recognition,” European Conference on Computer Vision (ECCV), Acceptance: 360/1444=24.9%, Zurich, Switzerland, September 6-12, 2014.

12. S. Sun, W. Zhou, H. Li, and Q. Tian, “Search by Detection: Object-level Feature for Image Retrieval,” ACM International Conference on Internet Media Computing and Service (ICIMCS), July 2014.

13. J. Wen, W. Zhou, R. Hong, M. Wang, and Q. Tian, “Evaluation on the Impact of Image Quality on Image Retrieval,” ACM International Conference on Internet Media Computing and Service (ICIMCS), July 2014.

14. Z. Yu, F. Wu, Y. Yang, Q. Tian, J. Luo, Y. Zhuang, “Discriminative Coupled Dictionary Hashing for Fast Cross-media Retrieval,” the 37th Annual International ACM SIGIR conference (SIGIR 2014), Acceptance rate 21%, 82 out of 387 submissions, Queensland, Australia, July 6-11, 2014.

15. J. Ji, J. Li, S. Yan, Q. Tian, B. Zhang, “Similarity-Preserving Binary Signature for Linear Subspace, ” the 28th AAAI Conference on Artificial Intelligence (AAAI-2014), Acceptance rate 28%, 398 out of 1406 submissions Quebec City, Canada, July 27-31, 2014.

16. Z. Yu, Y. Zhang, Tang, Y. Yang, Q. Tian, and J. Luo, “Cross-Media Hashing with Kernel Regression,” IEEE International Conference on Multimedia and Expo (ICME), Acceptance rate: 29.7%, 213 out of 716 submissions, Chengdu, China, July 14-18, 2014.

17. Y. Yang, J. Cai, Z. Zha, and Qi Tian, “A Stereo-Vision-Assisted Model for Depth Map Super-resolution,” IEEE International Conference on Multimedia and Expo (ICME), Acceptance rate: 29.7%, 213 out of 716 submissions, Chengdu, China, July 14-18, 2014.

18. X. Yang, L. Liu, X. Qian, T. Mei, and Q. Tian, “Mobile Visual Search via Hierarchical Sparse Coding,” IEEE International Conference on Multimedia and Expo (ICME), Acceptance rate: 29.7%, 213 out of 716 submissions, Chengdu, China, July 14-18, 2014.

19. L. Zheng, S. Wang, W. Zhou, and Q. Tian, “Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance rate: 29.88%, 540 out of 1807 submissions, Columbus, Ohio, USA, June 17-19, 2014.

20. L. Zheng, S. Wang,  Z. Liu, and Q. Tian, “Packing and Padding: Coupled Multi-index for Accurate Image Retrieval,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance rate: 29.88%, 540 out of 1807 submissions, Columbus, Ohio, USA, June 17-19, 2014.

21. L. Xie, J. Wang,  B. Zhang, and Q. Tian, “Orientational Pyramid Matching for Recognizing Indoor Scenes,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance rate: 29.88%, 540 out of 1807 submissions, Columbus, Ohio, USA, June 17-19, 2014.

22. Z. Niu, G. Hua,  X. Gao, and Q. Tian, “Coherent Semantic-visual Indexing for Large-scale Image Retrieval,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance rate: 29.88%, 540 out of 1807 submissions, Columbus, Ohio, USA, June 17-19, 2014.

23. K. Zhang, Y. Fang, D. Min, L. Sun, S. Yang, S. Yan, and Q. Tian, “Cross-modal Hashing by Lp Norm Multiple Subgraph Combination,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance rate: 29.88%, 540 out of 1807 submissions, Columbus, Ohio, USA, June 17-19, 2014.

24. Z. Liu, S. Wang, L. Zheng, and Q. Tian, “Visual Reranking with Improved Image Graph,” oral, IEEE International Conference on Accoustics, Speech and Signal Processing (ICASSP), Florence, Italy, May 4-9, 2014.  

25. Q. Luo, S. Zhang, T. Huang, W. Gao, and Q. Tian, “Superimage: Packing Semantic-Relevant Images for Indexing and Retrieval,” 2014 ACM International Conference on Multimedia Retrieval (ICMR), oral (acceptance rate: 19.1%, 21/110 full papers), Glasgow, United Kingdom, April 1-4, 2014.

26. J. Cai, Q. Liu, D. Joshi, F. Chen, and Q. Tian, “Scalable Image Search with Multiple Index Tables,” 2014 ACM International Conference on Multimedia Retrieval (ICMR), short paper (acceptance rate: 48%, 27/56 short papers), Glasgow, United Kingdom, April 1-4, 2014..

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Year 2013

Journal Papers:

1. S. Zhang, Q. Tian, Q. Huang, K. Lu, and W. Gao, “Edge-SIFT: Discriminative Binary Descriptor for Large-scale Mobile Partial-Duplicate Image Search,” IEEE Transactions on Image Processing, pp. 2289-2902, Vol. 22, No. 7, July 2013.

2. W. Zhou, H. Li, Y. Lu, and Qi Tian, “SIFT Match Verification by Geometric Coding for Large-Scale Partial-duplicate Web Image Search,” ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), Vol. 9, No. 1, Article 4, February, 2013.

3. B. Ni, M. Xu, B. Cheng, M. Wang, S. Yan, and Q. Tian, “Learning to Photograph: a Compositional Perspective,” IEEE Transactions on Multimedia, pp.1138-1151, Vol. 15, No. 5, August 2013.

4. B. Ni, S. Yan, M. Wang, A. Kassim, and Q. Tian, “High-Order Local Spatial Context Modeling by Spatialized Random Forest,” IEEE Transactions on Image Processing, Vol. 22, No. 2, pp: 739-751, February 2013.

5. Z. Zha, Q. Tian, J. Cai, and Z. Wang, “Interactive Social Group Recommendation for Flickr Photos, ” Neurocomputing, Vol. 105, pp. 30-37, April 2013.

6. L. Cao, R. Ji, W. Liu, H. Yao, and Q. Tian, “Weakly Supervised Codebook Learning by Iterative Label Propagation with Graph Quantization, ” Signal Processing,  an international journal of the European Association for Signal Processing (EURASIP), Vol. 93, No. 8, pp.2274-2283, August 2013.

7. C. Zhang, J. Liu, Q. Tian, C. Liang, Q. Huang, “Beyond Visual Features: A Weak Semantic Image Representation Using Exemplar Classifiers for Classification,” Neurocomputing, Vol. 120, pp.318-324, November 2013.

8. C. Zhang, S. Wang, Q. Huang, C. Liang, J. Liu, and Q. Tian, “Laplacian Affine Sparse Coding with Tilt and Orientation Consistency for Image Classification,” Journal of Visual Communication and Image Representation, 24(7), pp.786-793, 2013.

9. C. Zhang, S. Wang, Q. Huang, J. Liu, C. Liang, and Q. Tian, “Image Classification Using Spatial Pyramid Robust Sparse Coding, ” Pattern Recognition Letters, 34(9):1046-1052, 2013.

10. L. Zhang, Y. Han, Y. Yang, M. Song, S. Yan, and Q. Tian, “Discovering Discriminative Graphlets for Aerial Image Categories Recognition,” IEEE Transactions on Image Processing (TIP), Vol. 22, No. 12, pp. 5071-5084, 2013.

Conference Papers:

1. J. Ji, J. Li, S. Yan, Q. Tian, and B. Zhang, “Min-Max Hash for Jaccard Similarity,” the 2013 IEEE International Conference on Data Mining (ICDM'13), regular paper, (Acceptance Rate: 11.6%, 94 out of 809 submissions), Dallas, Texas, December 7-10, 2013.

2. S. Chang, G. Qi, J. Tang, Q. Tian, Y. Rui, and T. S. Huang, “Multimedia LEGO: LEarning structured model by probabilistic loGic Ontology tree,” the 2013 IEEE International Conference on Data Mining (ICDM'13), regular paper, (Acceptance Rate: 20.4%, 94 regular papers and 65 short papers out of 809 submissions), Dallas, Texas, December 7-10, 2013.

3. S. Zhang, M. Yang, X. Wang, Y. Lin, and Q. Tian, “Semantic-aware Co-indexing for Near-Duplicate Image Retrieval, ” International Conference on Computer Vision (ICCV), Acceptance Rate: 455 out of 1505 submissions (30.2%), Sydney, Australia, December 3-6, 2013.

4. L. Xie, Q. Tian, R. Hong, S. Yan, and B. Zhang, “Hierarchical Part Matching for Fine-Grained Visual Categorization, ” International Conference on Computer Vision (ICCV), Acceptance Rate: 455 out of 1505 submissions (30.2%), Sydney, Australia, December 3-6, 2013.

5. L. Zhang, Y. Zhang, J. Tang, K. Lu, and Q. Tian, “Binary Code Ranking with Weighted Hamming Distance,” 2013 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance Rate:  472 out of 1870 submissions (25.2%), Portland, Oregon, June 23-28, 2013.

6. L. Zheng, S. Wang, and Q. Tian, “Lp-norm IDF for Large Scale Image Search,” 2013 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance Rate:  472 out of 1870 submissions (25.2%), Portland, Oregon, June 23-28, 2013.

7. J. Mao, H. Li, W. Zhou, S. Yan, and Q. Tian, “Scale-based Region Growing for Scene Text Detection,” The 21st ACM International Conference on Multimedia (MM"13), Full Paper, Acceptance Rate: 20%, Barcelona, Spain, October 21-25, 2013.

8. L. Zhang, Y. Zhang, J. Tang, X. Gu, J. Li, and Q. Tian, “Topology Preserving Hashing for Similarity Search,” The 21st ACM International Conference on Multimedia (MM"13), Full Paper, Acceptance Rate: 20%, Barcelona, Spain, October 21-25, 2013.

9. T. Nguyen, M. Xu, G. Gao, M. Kankanhalli, Q. Tian, and S. Yan, “Static Saliency vs. Dynamic Saliency: A Comparative Study, ” The 21st ACM International Conference on Multimedia (MM"13), Full Paper, Acceptance Rate: 20%, Barcelona, Spain, October 21-25, 2013.

10. Z. Mao, Y. Zhang, and Q. Tian, “What are the Distance Metrics for Local Features,” The 21st ACM International Conference on Multimedia (MM'13), Short Paper, Acceptance Rate: 30%, Barcelona, Spain, October 21-25, 2013.

11. J. Chen, Y. Han, X. Cao, and Q. Tian, “Object Coding on the Semantic Graph for Scene Classification,” The 21st ACM International Conference on Multimedia (MM"13), Short Paper, Acceptance Rate: 30%, Barcelona, Spain, October 21-25, 2013.

12. S. Pang, J. Xue, N. Zheng, and Q. Tian, “Locality Preserving Verification for Image Search,” The 21st ACM International Conference on Multimedia (MM'13), Short Paper, Acceptance Rate: 30%, Barcelona, Spain, October 21-25, 2013.

13. C. Zhang, S. Wang, Q. Huang, C. Liang, J. Liu and Q. Tian, “Undo the Codebook Bias by Linear Transform for Visual Applications,” The 21st ACM International Conference on Multimedia (MM'13), Short Paper, Acceptance Rate: 30%, Barcelona, Spain, October 21-25, 2013.

14. C. Zhang, S. Wang, Q. Huang, C. Liang, J. Liu and Q. Tian, “Beyond Bag of Words: Image Representation in Sub-Semantic Space,” The 21st ACM International Conference on Multimedia (MM'13), Short Paper, Acceptance Rate: 30%, Barcelona, Spain, October 21-25, 2013.

15. Y. Yang, Q. Liu, Y. Gao, B. Xiong, L. Yu, H. Luan, R. Ji, and Q. Tian, “Stereotime: A Wireless 2D and 3D Switchable Video Communication System,” Technical Demo Paper at the 21st ACM International Conference on Multimedia, Barcelona, Spain, October 21-25, 2013.

16. D. Zhuang, D. Zhang, J. Li, and Q. Tian, “Improved Binary Feature Matching Through Fusion of Hamming Distance and Fragile Bit Weight,” The 3rd International Workshop on Interactive Multimedia on Mobile and Portable Devices (IMMPD 2013), in conjunction with ACM International Conference on Multimedia, Barcelona, Spain, October 21-25, 2013.

17. L. Xie, Q. Tian, and B. Zhang, “Feature Normalization for Part-based Image Classification,” Oral paper, 2013 IEEE International Conference on Image Processing (ICIP 2013), Melbourne, Australia, September 15-18, 2013.

18. K. Teng, J. Wang, Q. Tian, and H. Lu, “Improving Scene Classification with Weakly Spatial Symmetry Information,” Poster paper, 2013 IEEE International Conference on Image Processing (ICIP 2013), Melbourne, Australia, September 15-18, 2013.

19. Z. Mao, Y. Zhang, and Q. Tian, “A Novel Feature Descriptor Exploring Anisotropy and Non-uniformity, ” Pacific-rim Conference on Multimedia, Nanjing, China, Dec. 13-16, 2013.

20. J. Cai, Z. Zha, H. Luan, S. Zhang, and Q. Tian, “Learning Attribute-aware Dictionary for Image Classification and Search,” Oral, 2013 ACM International Conference on Multimedia Retrieval (ICMR), Dallas, Texas, USA, April 16-19, 2013.

21. S. Zhang, Q. Tian, Q. Huang, W. Gao, and Y. Rui, “Multi-order Visual Phrase for Scalable Image Search, ” Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service(ICIMCS), pp. 145-149, Huangshan, Anhui, China.

22. Q. Luo, S. Zhang, T. Huang, W. Gao, and Q. Tian, “Scalable Mobile Search with Binary Phrase,” Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service(ICIMCS), pp. 145-149, Huangshan, Anhui, China.

23. J. Shen, T. Mei, Q. Tian, and X. Gao, “Image Search Reranking with Multi-Latent Topical Graph,” the 2013 IEEE International Symposium on Circuits and Systems (ISCAS), lecture presentation, May 19-23, 2013, Beijing, China.

24. D. Zhuang, D.M. Zhang, J.T. Li, and Q. Tian, “A Novel Binary Feature from Intensity Difference Quantization between Random Sample of Points,” Special Session of Cross-media Computing for Content Understanding and Summarization, the 19th International Conference on Multimedia Modeling(MMM), January 7-9, 2013, Huangshan, China.

25. L. Zhang, Y. D. Zhang, D.M. Zhang, and Q. Tian, “Distribution-Aware Locality Sensitive Hashing,” Special Session of Large-Scale Rich Media Search and Management in the Social Web, the 19th International Conference on Multimedia Modeling(MMM), January 7-9, 2013, Huangshan, China.

26. S. Liu, P. Cui, B. Luan, W. Zhu, S. Yang, and Q. Tian, “Social visual image ranking for Web image search,” the 19th International Conference on Multimedia Modeling(MMM), Best Paper Award, January 7-9, 2013, Huangshan, China.

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Year 2012

Journal Papers:

1. C. Zhang, Q. Huang, J. Liu, Q. Tian, C. Liang, and X. Zhu, “Image Classification Using Harr-like Transformation of Local Features with Coding Residuals,” Signal Processing,  an international journal  of the European Association for Signal Processing (EURASIP), September, 2012, 93(8):2111-2118.

2. W. Zhou, H. Li, Y. Lu, and Q. Tian, “Principal Visual Word Discovery for Automatic License Plate Detection,” IEEE Transactions on Image Processing (TIP), Vol. 21, No. 9, pp:4269-4279, September, 2012.

3. B. Jiao, L. Yang, J. Xu, and Q. Tian, and F. Wu, “Visually Summarizing Web Pages Through Internal and External Images,” IEEE Transactions on Multimedia (TMM), Vol. 14, No. 6, pp. 1673-1683, December 2012.

4. G. Qi, C. Aggarwal, Q. Tian, H. Ji, and T. S. Huang, “Exploring Context and Content Links in Social Media: A Latent Space Method,” IEEE Transactions on Pattern Analysis and Machine Intelligence(PAMI), Vol. 34, No. 5, pp. 850-862, May 2012.

5. S. Wang, Q. Huang, S. Jiang, and Q. Tian, “S3MKL: Scalable Semi-Supervised Multiple Kernel Learning for Real World Image Applications,” IEEE Transactions on Multimedia (TMM), Vol. 14, No. 4, pp: 1259-1274, August, 2012.

6. Y. Han, F. Wu, Q. Tian, and Y. Zhuang, “Image Annotation by Input-Outp​ut Structural Grouping Sparsity,” IEEE Transactions on Image Processing (TIP), Volume 21, Issue 6, pp: 3066-3079, June 2012.

7. Z. Niu, X. Gao and Q. Tian, “Tactic Analysis Based on Real-world Ball Trajectory in Soccer Video,” Pattern Recognition (PR), Vol. 45, Issue 5, pp.1937-1947, May 2012.

8. Y. Su, Y. Fu, X. Gao, and Q. Tian, “Discriminant Learning through Multiple Principal Angles for Visual Recognition,” IEEE Transactions on Image Processing (TIP), Vol. 21, No. 3, pp. 1381-1390, March 2012.

9. R. Ji, H. Yao, W. Liu, X. Sun, and Q. Tian, “Task-Dependent Visual Codebook Compression,” IEEE Transactions on Image Processing(TIP), Vol. 32, No. 4, pp. 2282-2293, April 2012.

10. S. Wang, Q. Huang, S. Jiang, Q. Tian, and L. Qin , “Nearest-Neighbor Method Using Multiple Neighborhood Similarities for Social Media Data Mining, ” Neurocomputing, Special issue on Learning from Social Media Network, Vol. 95, pp:105-116, October, 2012.

11. C. Tian, J. Fan, X. Gao, and Q. Tian, “Multi-view Face Recognition: From TensorFace to V-Tensor Face and K-Tensor Face,” IEEE Transactions on Systems, Man, and Cybernetics, Part B (SMC Part B), Special Issue on Subspace and Manifold Learning for Image and Video Indexing and Searching, Vol. 42, No. 2, pp.320-333, April 2012.

12. J. Wang, B. Wang, L. Duan, Q. Tian, and H. Lu, “Interactive Ads Recommendation with contextual Search on Product Topic Space,” accepted to Multimedia Tools and Applications (MTA), Available online, July, 2012.

13. M. Wang, D. Ji, Q. Tian, and X.S. Hua. “Intelligent Photo Clustering with User Interaction and Distance Metric Learning,” Pattern Recognition Letters (PRL), Vol. 33, Issue 4, pp. 462-470, 2012.

14. C. Zhang, J. Liu, Q.Tian, Y. Han, H. Lu, and S. Ma, “A Boosting Sparsity Constrained Bi-Linear Model for Object Recognition,” IEEE Multimedia Magazine, Volume 19, Number 2, pp:58-68, February, 2012.

Conference Papers:

1. J. Ji, J. Li, B. Zhang, S. Yan and Q. Tian, “Super-Bit Locality-Sensitive Hashing,”  the Neural Information Processing Systems (NIPS), Poster (acceptance rate 25.2% , 370 out 1467 ), December 3-6, 2012, Lake Tahoe, Nevada.

2. S. Liu, P. Cui, B. Luan, W. Zhu, S. Yang, and Q. Tian, “Social visual image ranking for Web image search,” Best Paper Award, the 19th International Conference on Multimedia Modeling(MMM), January 7-9, 2013, Huangshan, China.

3. W. Zhou, H. Li, M. Wang, Y. Lu and Q. Tian, “Binary SIFT: Towards Efficient Feature Matching Verification for Image Search,” Best Paper Award, the 4th ACM International Conference on Internet Multimedia Computing and Service (ICIMCS 2012), Wuhan, China, September 9-11, 2012.

4. L. Xie, Q. Tian, and B. Zhang, “Spatial Pooling of Heterogeneous Features for Image Applications,” ACM Multimedia, Full Paper (acceptance rate 20.2%), October 29- November 2, 2012, Nara, Japan.

5. W. Zhou, H. Li, Y. Lu, and Q. Tian, “Scalar Quantization for Large Scale Image Search,” ACM Multimedia, Full Paper (acceptance rate 20.2%), October 29- November 2, 2012, Nara, Japan.

6. Z. Liu, H. Li, W. Zhou and Q. Tian, “Embedding Spatial Context into Inverted File for Large-Scale Image Search,” ACM Multimedia, Full Paper (acceptance rate 20.2%), October 29- November 2, 2012, Nara, Japan.

7. Y. Han, F. Wu, X. Lu, Q. Tian, J. Luo, and Y. Zhuang, “Correlated Attribute Transfer with Multi-task Graph-Guided Fusion,” ACM Multimedia, Full Paper (acceptance rate 20.2%), October 29- November 2, 2012, Nara, Japan.

8. X. Li, W. Zhou, J. Tang, and Q. Tian, “Query Expansion Enhancement by Fast Binary Matching,” ACM Multimedia, Short Paper (acceptance rate about 31.2%), October 29- November 2, 2012, Nara, Japan.

9. J. Xiao, W. Zhou, and Q. Tian, “Image Tag Re-ranking by Coupled Probability Transition,” ACM Multimedia, Short Paper (acceptance rate 31.2%), October 29- November 2, 2012, Nara, Japan.

10. J. Cai, W. Zhou, Z. Zha, and Q. Tian, “Attribute-assisted Reranking for Web Image Retrieval,” ACM Multimedia, Short Paper (acceptance rate 31.2%), October 29- November 2, 2012, Nara, Japan.

11. J. Bian, Z. Zha, H. Zhang, Qi Tian, and T.-S. Chua, “Visual Query Attributes Suggestion,” ACM Multimedia, Short Paper (acceptance rate 31.2%), October 29- November 2, 2012, Nara, Japan.

12. Z. Cheng, L. Qin, T. Ye, Q. Huang, and Q. Tian, “Human Daily Action Analysis with Multi-View and Color-Depth Data,” accepted to 2nd Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV), in conjunction with ECCV 2012, Firenze, Italy, October 7-13, 2012.

13. Z. Niu, G. Hua, X. Gao, and Q. Tian, “Context Aware Topic Model for Scence Recognition, ” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 24%, 465 out of 1933) June 16-21, 2012, Providence, Rhode Island, USA.

14. S. Wang, Q. Huang, S. Jiang, and Q. Tian, “Multi-Feature Similarity Learning with Knowledge Transfer among Semantics and Social Tagging, ” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 24%, 465 out of 1933) June 16-21, 2012, Providence, Rhode Island, USA.

15. L. Cao, R. Ji, Y. Gao, H. Yao, and Q. Tian,  “Weakly Supervised Sparse Coding with Geometric Consistency Pooling,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 24%, 465 out of 1933) June 16-21, 2012, Providence, Rhode Island, USA.

16. Y. Han, F. Wu, Q. Tian, and Y. Zhuang, “Graph-Guided Sparse Reconstruction for Region Tagging, ” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 24%, 465 out of 1933) June 16-21, 2012, Providence, Rhode Island, USA.

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Year 2011

Journal Papers:

1. Y. Gao, M. Wang, Z. J. Zha, Q. Tian, Q. Dai, N. Zhang. “Less is More: Efficient 3D Object Retrieval with Query View Selection,” IEEE Transactions on Multimedia (TMM), Vol. 13, No. 5, pp. 1007-1018, October 2011.

2. R. Ji, Y. Gao, B. Zhong, H. Yao, and Q. Tian, "Mining City Landmarks by Modeling Reconstruction Sparsity," ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), Vol.7 (supplement):31, October, 2011.

3. R. Ji, H. Yao, X. Xie, and Q. Tian, “Vocabulary Hierarchy Optimization and Transfer for Scalable Image Search,” IEEE Multimedia Magazine, pp. 66-76, Vol. 18, Issue 3, July-September 2011.

4. S. Zhang, Q. Tian, G. Hua, Q. Huang, and W. Gao, “Generating Descriptive Visual Words and Visual Phrases for Large-Scale Image Applications,” IEEE Transactions on Image Processing (TIP), Vol. 20, No. 9, pp:2664-2677, September 2011.

5. W. Zhou, Q. Tian, Y. Lu, L. Yang, and H. Li, “Latent Visual Context Learning for Web Image Applications,” Pattern Recognition, Special Issue on Semi-Supervised Learning for Visual Content Analysis and Understanding, Vol. 44, Issue 10-11, pp. 2263-2273, October, 2011.

6. S. Zhang, Q. Tian, G. Hua, W. Zhou, Q. Huang, H. Li, and W. Gao, “Modeling Spatial and Semantic Cues for Large-Scale Near-Duplicated Image Retrieval,” Journal of Computer Vision and Image Understanding, Special Issue of Feature Oriented Image and Video Computing for Extracting Contexts and Semantics, Vol. 115, Issue 3, pp. 403-414, March, 2011.

7. R. Ji, H. Yao, and Q. Tian, and Pengfei Xu, Xiaoshuai Sun, Xianming Liu, “Context-aware Semi-Local Feature Detector,” ACM Transactions on Intelligent Systems and Technology (TIST), 3(3):44, 2011.

8. Y. Lu, N. Sebe, R. Hytnen, and Q. Tian, “Personalization Multimedia Retrieval: A Survey,” International Journal of Multimedia Tools and Applications, Special Issue: Survey Papers in Multimedia by World Experts, 51:1, pp: 247-277, 2011, Editors: R. Jain, A. Del Bimbo, T-S. Chua, and B. Furht.

9. Q. Tian, S. Zhang, W. Zhou, R. Ji, B. Ni, and N. Sebe,  “Building Descriptive and Discriminative Visual Codebook for large-scale Image Applications,” International Journal of Multimedia Tools and Applications, Special Issue: Hot Research Topics in Multimedia, 51:441-477, 2011, Editors: R. Jain, A. Del Bimbo, T-S. Chua, and B. Furht.

Conference Papers:

1. X. Tian, Y. Lu, L. Yang, and Q. Tian, “Learning to Judge Image Search Results,” ACM Multimedia, full paper (acceptance rate: 17.3%, 58 out of 335), pp: 363-372, November 28-December 1, 2011, Scottsdale, AZ, USA.

2. X. Liu, H. Yao, R. Ji, P. Xu, X. Sun, and Q. Tian, “Learning Heterogeneous Data for Hierarchical Web Video Classification, ” ACM Multimedia, full paper (acceptance rate: 17.3%, 58 out of 335), pp: 433-442, November 28-December 1, 2011, Scottsdale, AZ, USA.

3. X. Li, Y. Song, Y. Lu, and Q. Tian, “Spatial Pooling for Transformation Invariant Image Representation,” ACM Multimedia, pp: 1509-1512, short paper (acceptance rate: 36.3%, 120 out of 331), pp. 1509-1512, November 28-December 1, 2011, Scottsdale, AZ, USA.

4. W. Zhou, H. Li, Y. Lu, and Q. Tian, “Large Scale Image Search with Geometric Coding,” ACM Multimedia, pp: 1349-1352, short paper (acceptance rate: 36.3%, 120 out of 331), November 28-December 1, 2011, Scottsdale, AZ, USA.

5. Z. Cheng, L. Qin, Q. Huang, S. Jiang, S. Yan, and Q. Tian, “Human Group Activity with Fusion of Motion and Appearance Information, ” ACM Multimedia, pp: 1401-1404, short paper (acceptance rate: 36.3%, 120 out of 331), November 28-December 1, 2011, Scottsdale, AZ, USA.

6. S. Purushotham, Q. Tian, and C.-C. Jay Kuo, “Picture-in-Picture Copy Detection Using Spatial Coding Technique,” International ACM Workshop on Automated Media Analysis and Production for Novel TV Services (AIEMPro), in conjunction with ACM Multimedia, Nov. 27- Dec. 1, 2011, Scottsdale, AZ, USA.

7. S. Zhang, Q. Tian, Q. Huang, and W. Gao, “ObjectBook Construction for Large-Scale Semantic Aware Image Retrieval, ” 2011 IEEE International Workshop on Multimedia Signal Processing (MMSP), pp: 1-6, Top 10% Paper Award, Hangzhou, China, October 17-19, 2011.

8. S. Wang, Q. Huang, S. Jiang and Q. Tian, “Efficient Lp-norm Multiple Feature Metric Learning for Image Data Mining,” The 20th ACM Conference on Information and Knowledge Management (CIKM 2011), poster, pp: 2077-2080, October 24-28, 2011, Glasgow, UK.

9. J. Liu,C. Zhang, Q. Tian, C. Xu, H. Lu, and S. Ma, “One Step Beyond Bags of Features: Visual Categorization Using Components,” IEEE International Conference on Image Processing (ICIP), pp. 2417-2420, Sep. 11-14, 2011, Brussels, Belgium.

10. Z. Niu, G. Hua, X. Gao and Q. Tian, “Spatial-DiscLDA for Visual Recognition,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 26.4%, 379 out of 1677), pp: 1769-1786, June 20-25, 2011, Colorado Springs, USA.

11. G. Qi, Q. Tian, and T. S. Huang, “Locality-Sensitive Support Vector Machines by Exploring Local Correlation for Web Image Annotation,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 26.4%, 379 out of 1677), pp: 841-848, June 20-25, 2011, Colorado Springs, USA.

12. J. Feng, B. Ni, Q. Tian, and S. Yan, “Geometric Lp-norm Feature Pooling for Image Classification,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 26.4%, 379 out of 1677), pp: 2697-2704, June 20-25, 2011, Colorado Springs, USA.

13. C. Zhang, J. Liu, Q. Tian, C. S. Xu, H. Lu and S. Ma, “Image Classification by Non-Negative Sparse Coding, Low-Rank and Sparse Decomposition,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 26.4%, 379 out of 1677) pp: 1673-1680, June 20-25, 2011, Colorado Springs, USA.

14. G. Qi, C. Aggarwal, Y. Rui, Q. Tian, S. Chang, and T.S. Huang, “Towards Cross-Category Propagation for Learning Visual Concepts,” oral (3.5% acceptance rate, 59 out of 1677), pp:897-904, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 20-25, 2011, Colorado Springs, USA.

15. X. Li, Y. Song, Y. Lu, and Q. Tian, “Multi-layer Orthogonal Visual Codebook for Image Classification,” oral, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 22-27, 2011, Prague, Czech Republic.

16. J . Cai, Z. Zha, Q. Tian, and Z. Wang, “Semi-Automatic Flickr Group Suggestion,” The 17th International Conference on Multimedia Modeling (MMM), pp:77-87, January 5-7, 2011, Taibei, Taiwan.

17. J. Shen, M. Wang, S. Yan and Q. Tian, “Probabilistic Indexing of Media Sequences, ” Proc. of the 3rd ACM International Conference on Internet Multimedia Computing and Service (ICIMCS), pp. 108-111, August 5-7, 2011, Chengdu, Sichuan, China.

18. J. Xiao and Q. Tian, “Annotate Wikipedia with Flickr Images: Concepts and Case Study,” 2nd International Conference on Internet Multimedia Computing and Service (ICIMCS), December 30-31, 2010, Harbin, China.

19. Y. Song, J. Tang, X. Li, and Q. Tian, “Effective Image Representation Based on bi-layer Visual Codebook”, First Asian Conference on Pattern Recognition (ACPR), November 28-30, 2011, Beijing, China.

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Year 2010

Book Chapter:

1. Susanne Boll, Qi Tian, Lei Zhang, Zili Zhang, and Yi-Ping Phoebe Chen (Eds.), LNCS 5916, Advances in Multimedia Modeling, MMM 2010, Chongqing, China, January 5-8, 2010, Springer.

Journal Papers:

1. S. Zhang, Q. Huang, S. Jiang, W. Gao, and Q. Tian, “Affective Visualization and Retrieval for Music Video”, IEEE Transactions on Multimedia, Special Issue on Multimodal Affective Interaction, pp. 510-522, Vol. 12, No. 6, October 2010.

2. Y. Lu, L. Zhang, J. Liu, and Q. Tian, “Construct Concept Lexica with Small Semantic Gaps,” IEEE Transactions on Multimedia, pp. 288-299, Vol. 12, No. 4, June 2010.

Conference Papers:

1. X. Liu, H. Yao, R. Ji, P. Xu, X. Sun, and Q. Tian, “Visual Topic Model for Web Image Annotation,” 2nd ACM International Conference on Multimedia Computing and Service (ICIMCS), December 30-31, 2010, Harbin, China.

2. B. Wang, J. Wang, L. Duan, Q. Tian and H. Lu, “Interactive Service Recommendation Based on Ad Concept Hierarchy,” 2nd ACM International Conference on Multimedia Computing and Service (ICIMCS), December 30-31, 2010, Harbin, China.

3. C. Zhang, J. Liu, J. Wang, Q. Tian, C. Xu, H.Lu, and S. Ma, “Image Classification Using Spatial Pyramid Coding and Visual Word Reweighting,” The Tenth Asian Conference on Computer Vision (ACCV), pp: 239-249, Queenstown, New Zealand, November 8-12, 2010.

4. S. Zhang, Q. Huang, G. Hua, S. Jiang, W. Gao, and Q. Tian, “Building Contextual Visual Vocabulary for Large-scale Image Applications,” Full Paper (acceptance rate: 16%) at ACM Multimedia, Florence, Italy, October 25-29, 2010.

5. S. Wang, Q. Huang, S. Jiang, and Q. Tian, “S3MKL: Scalable Semi-supervised Multiple Kernel Learning for Image Data Mining,” Full Paper (acceptance rate: 16%) at ACM Multimedia, Florence, Italy, October 25-29, 2010.

6. W. Zhou, Y. Lu, H. Li, Y. Song, and Q. Tian, “Spatial Coding for Large Scale Partial-Duplicate Web Image Search,” Full Paper (acceptance rate: 16%) at ACM Multimedia, Florence, Italy, October 25-29, 2010.

7. F. Wu, Y. Han, Q. Tian, and Y. Zhuang, “Multi-label Boosting for Image Annotation by Structural Grouping Sparsity,” Full Paper (acceptance rate: 16%) at ACM Multimedia, Florence, Italy, October 25-29, 2010.

8. B. Chen, B. Ni, S. Yan, and Q. Tian, “Learning to Photograph,” Full Paper (acceptance rate: 16%) at ACM Multimedia, Florence, Italy, October 25-29, 2010.

9. S. Wang, Q. Huang, S. Jiang, and Q. Tian, “Nearest-Neighbor Classification Using Unlabeled Data for Real World Image Application,” short paper at ACM Multimedia, Florence, Italy, October 25-29, 2010.

10. Z. Niu, Q. Tian, and X. Gao, “Real-World Trajectory Extraction for Attack Pattern Analysis in Soccer Video,” short paper at ACM Multimedia, Florence, Italy, October 25-29, 2010.

11. W. Zhou, Y. Lu, H. Li, and Q. Tian, “Canonical Image Selection by Visual Context Learning,” 20th International Conference on Pattern Recognition, oral, August 23-26, 2010, Istanbul, Turkey.

12. S. Wang, S. Jiang, Q. Huang, and Q. Tian, “Multiple Kernel Learning with High Order Kernels,” Analysis and Search," 20th International Conference on Pattern Recognition, August 23-26, 2010, oral, Istanbul, Turkey.

13. Q. Hu, L. Qin, Q. Huang, S. Jiang, and Q. Tian, “Action Recognition Using Spatial-Temporal Context,”  oral, 20th International Conference on Pattern Recognition, August 23-26, 2010, Istanbul, Turkey.

14. B. Wang, J. Wang, L. Duan, Q. Tian, H. Lu, and W. Gao, “Interactive Web Video Advertising with Context Analysis and Search,” 20th International Conference on Pattern Recognition, August 23-26, 2010, Istanbul, Turkey.

15. Z. Cheng, L. Qin, Q. Huang, S. Jiang, and Q. Tian, “Group Activity Recognition by Gaussian Processes Estimation,” 20th International Conference on Pattern Recognition, August 23-26, 2010, Istanbul, Turkey.

16. Y. Song,  Q. Tian, M. Wang, H. Liu, and L. Dai, “Multiple Instance Learning Using Visual Phrases for Object Classification,” acceptance rate: 30%, IEEE International Conference on Multimedia and Expo (ICME), July 19-23, 2010, Singapore.

17. W. Zhou, Q. Tian, L. Yang, and H. Li, “Latent Visual Context Analysis for Image Re-ranking,” acceptance rate: 38%, ACM International Conference on Image and Video Retrieval (CIVR), Xi'an, China, July 5-7, 2010.

18. Y. Cui, J.S. Jin, S. Zhang, S. Luo, and Q. Tian, “Music Video Affective Understanding Using Feature Importance Analysis,” acceptance rate: 38%, ACM International Conference on Image and Video Retrieval (CIVR), Xi'an, China, July 5-7, 2010.

19. D. Ji, M. Wang, Q. Tian, and X. S. Hua, “Semi-Supervised Photo Classification with Distance Metric Learning,” Visual Communications and Image Processing, Huang Shan, Anhui, China, July 11-14, 2010

20. S. Zhang, Q. Huang, Y. Lu, W. Gao, and Q. Tian, “Building Pair-Wise Visual Word Tree for Efficient Image Re-ranking,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , March 14-19, 2010, Dallas, TX.

21. W. Zhou, H. Li, Y. Lu, and Q. Tian, “Large Scale Partial-Duplicate Image Retrieval with Bi-Space Quantization and Geometric Consistency,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 14-19, 2010, Dallas, TX.

22. Y. Su, Y. Fu, Q. Tian, and X. Gao, “Cross-database Age Estimation Based on Transfer Learning,”  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , March 14-19, 2010, Dallas, TX.

23. S. Chen, J. Wang, Y. Ouyang, B. Wang, Q. Tian, and H. Lu, “Multi-level Trajectory Modeling for Video Copy Detection,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , March 14-19, 2010, Dallas, TX.

24. W. Zhou, Y. Lu, H. Li, Y. Song, and Q. Tian, “Large Scale Partially Duplicated Web Image Retrieval,” industrial demo paper at ACM Multimedia, pp. 1523-1524, Florence, Italy, October 25-29, 2010.

25. S. Chen, J. Wang, B. Wang, L. Duan, Q. Tian, H. Lu, “AdVR: Linking Ad Video with Products or Service,” The 16th International Conference on Multimedia Modeling (MMM), Chongqing, China, January 5-8, 2010.

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Year 2009

Journal Paper:

1. Y. Lu and Q. Tian, “Discriminant Subspace Analysis: an Adaptive Approach for Image Classification,” IEEE Transactions on Multimedia, Vol. 11, No. 7, pp. 1289-1300, November, 2009.

Conference Papers:

1. W. Zhou, Q. Tian, and H. Li, “Visual Block Link Analysis for Image Re-ranking,” the first ACM International Conference on Internet Multimedia Computing and Service, November 23-25, 2009, Kunming, Yunnan, China.

2. S. Zhang, Q. Tian, G. Hua, Q. Huang, and S. Li, “Descriptive Visual Words and Visual Phrases for Image Applications,” accepted (16% acceptance rate, 22/138) by ACM Multimedia 2009, October 19-23, 2009, Beijing, China.

3. S. Wang, Q. Huang, S. Jiang, L. Qin, and Q. Tian, “Visual ContextRank for Web Image Re-ranking,” ACM International Workshop on Large-Scale Multimedia Retrieval and Mining (LSMRM), in conjunction with ACM Multimedia 2009, October 23, Beijing, China.

4. S. Zhang, Q. Tian, Q. Huang, and S. Li, “Utilizing Affective Analysis for Efficient Movie Browsing”, IEEE International Conference on Image Processing (ICIP), Cario, Egypt, November 7-11, 2009.

5. C. Zhang, J. Liu, Y. Ouyang, Q. Tian, H. Lu, and S. Ma, “Concept-Specific Visual Vocabulary Construction for Object Classification,” The 2009 IEEE Pacific-Rim Conference on Multimedia (PCM), Bangkok, Thailand, December 15-18, 2009

6. C. Zhang, J. Liu, Y. Ouyang, Q. Tian, H. Lu, S. Ma, “Category Sensitive Codebook Construction for Object Category Recognition”, IEEE International Conference on Image Processing (ICIP), Cario, Egypt, November 7-11, 2009.

7. G. Guan, Z. Wang, Q. Tian, and D. Feng, “Improved Concept Similarity Measuring in Visual Domain,”  IEEE International Workshop on Multimedia Signal Processing (MMSP), Rio de Janeiro, Brazil, October 5-7, 2009.

8. G. Hua and Q. Tian, “What Visual Content Analysis Do for Text Based Image Search?” invited paper, Special Session on Challenges in Large-Scale Image Retrieval,  IEEE International Conference on Multimedia and Expo (ICME), New York, NY, June 29-July3, 2009.

9. J. Xiao, Y. Fu, Y. Lu, and Q. Tian, “Refining Image Retrieval Using One-Class Classification,” Oral , IEEE International Conference on Multimedia and Expo (ICME), June 28-July 3, 2009, New York, NY.

10. J. Liu, Q. Tian, Y. Lu, C. Wang, L. Zhang, X. Yang, and S. Li, “A Lexica Family with Small Semantic Gap, ”invited paper, Special Session on Challenges in Large-Scale Image Retrieval, IEEE International Conference on Multimedia and Expo (ICME), pp. 1484-1487, June 28-July 3, 2009, New York, NY.

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Year 2008

Journal Papers:

1. J. Yu and Q. Tian, “Semantic Subspace Projection and Its Applications in Image Retrieval,” IEEE Transactions on Circuit and Systems for Video Technology, Vol. 18, No. 4, pp. 544-548, 2008.

2. Y. Lu, Q. Tian, J. Neary, F. Liu, and Y. Wang, “Adaptive Discriminant Analysis for Microarray-based Classification,” ACM Transactions on Knowledge Discovery from Data (TKDD), Special Issue on Bioinformatics, Vol.2, No. 1, Article 5, pp:5:1-5:20, March, 2008.

3. J. Yu, J. Amores, N. Sebe, P. Radeva, and Q. Tian, “Distance Learning for Similarity Estimation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, Issue 3, pp. 451-462, March 2008.

Conference Papers:

1. S. L. Zhang, Q. Huang, Q. Tian, S. Jiang, and W. Gao, “Personalized MTV Affective Analysis Using User Profile,” Pacific Conference on Multimedia (PCM), December 9-13, 2008, Tainan, Taiwan, China.

2. Y. Lu, L. Zhang, Q. Tian, and W. Y. Ma, “What Are the High Level Concepts with Small Semantic Gap?” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2008), Anchorage, Alaska, June 24-26, 2008.

3. S. L. Zhang, Q. Tian, S. Q. Jiang, Q. Huang, and W. Gao, “Affective MTV Analysis based on Arousal and Valence Features,” IEEE International Conference on Multimedia and Expo (ICME), June 23-26, 2008, Hannover, Germany.

4. L. Zhuang, W. Zhou, Q. Tian, and N. Yu, “Learning Object from Small and Imbalanced Dataset with Boost-BFKO,” IEEE International Conference on Multimedia and Expo (ICME), pp. 1449-1452, June 23-26, 2008, Hannover, Germany.

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Year 2007

Journal Papers:

1. Y. Lu, Q. Tian, M. Sanchez, J. Neary, F. Liu, and Y. Wang, “Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis,” IEEE Multimedia Magazine, Special Issue on Multimedia Signal Processing and Systems in Health Care and Life Science, pp. 22-31, October-December 2007 .

2. Y. Lu, Q. Tian, F. Liu, M. Sanchez, and Y. Wang, “Interactive Semi-Supervised Learning for Microarray Analysis,” IEEE Transactions on Computational Biology and Bioinformatics, Special Issue on Computational Intelligence Approaches in Computational Biology and Bioinformatics, Vo. 4, No. 2, pp: 190-203, April-June 2007.

3. J. Yu, Q. Tian, T. Rui, and T.S. Huang, “Integrating Discriminant and Descriptive Information for Dimension Reduction and Classification,” IEEE Transactions on Circuits and Systems for Video Technology, Special Issue on the Convergence of Knowledge Engineering, Semantics, and Signal Processing in Audiovisual Information Retrieval, Vol. 17, No.3, pp: 372-377, March 2007.

Conference Papers:

1. L. Zhuang, W. Zhou, Q. Tian, and N. Yu, “Learning Object from Small and Imbalanced Dataset with Boost-BFKO,” IEEE International Conference on Multimedia and Expo (ICME), pp. 1449-1452, June 23-26, 2008, Hannover, Germany.

2. Y. Lu, I. Cohen, X. Zhou, and Q. Tian, “Feature Selection Using Principal Feature Analysis,” (acceptance rate: 27%) ACM Multimedia 2007, Short Paper Track, September 24-29, 2007, Augsburg, Germany.

3. Y. Lu, J. Ma, and Q. Tian, “FADA: An Efficient Dimension Reduction Scheme for Image Classification,” Best Paper Candidate in Retrieval Track, Pacific-rim Conference on Multimedia (PCM), Hong Kong, December 11-14, 2007.

4. N. Sebe and Q. Tian, “Personalized Multimedia Retrieval: The New Trend,” invited paper, 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, Special Session on Personalized Multimedia Information Retrieval, September 28-29, 2007, University of Augsburg, Germany.

5. C. S. Xu and Q. Tian, “Semantic Analysis and Personalization for Mobile Media Applications,” invited paper, IEEE International Conference on Multimedia and Expo (ICME 2007), Special Session on Mobile Media, pp. 1047-1050, July 2-5, 2007, Beijing, China.

6. Y. Lu, T. Zhang, and Q. Tian, “i.Boosting for Image Classification,” IEEE International Conference on Multimedia and Expo (ICME 2007), pp. 1711-1714, July 2-5, 2007, Beijing, China.

7. Y. Lu, J. Yu, N. Sebe, and Q. Tian, “Two-Dimensional Adaptive Discriminant Analysis,” (acceptance rate: 46%, 1344 out of 2922 submissions) in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1. pp. 985-988, April 16-20, 2007, Honolulu, Hawaii.

8. J. Yu, Y. Lu, Y. Xu, N. Sebe, and Q. Tian, “Integrating Relevance Feedback in Boosting for Content-based Image Retrieval,” (acceptance rate: 46%, 1344 out of 2922 submissions) in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 965-968, April 16-20, 2007, Honolulu, Hawaii.

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Year 2006

Book Chapter:

1. J. Yu, J. Amores, N. Sebe, and Q. Tian, “Ranking Metrics and Evaluation Measures,” invited book chapter, Advances in Imaging and Electron Physics, Elsevier, Vol. 144, pp. 291-316, 2006.

Journal Papers:

1. Z. Xiong, X. Zhou, Q. Tian, Y. Rui, and T.S. Huang, “Semantic Retrieval of Video,” invited paper, IEEE Signal Processing Magazine, Special Issue on Semantic Retrieval of Multimedia, 23(2):18-27, March 2006.

2. Q. Tian, “A Foundational Pespective for Visual Information Retrieval,” invited book review for Exploration of Visual Data, IEEE Multimedia Magazine, Vol. 13, No. 2, pp. 90-92, April 2006.

Conference Papers:

1. J. Yu and Q. Tian, “Learning Image Manifolds by Semantic Subspace Projection,” Full paper (acceptance rate: 16%, 21 out of 128 submissions), ACM Multimedia, October 23-27, 2006, Santa Barbara, CA.

2. J. Yu and Q. Tian, “Adaptive Discriminant Projection for Content-based Image Retrieval,” Oral Paper (15% acceptance rate for oral paper over 2000 submissions), IEEE International Conference on Pattern Recognition (ICPR 2006), August 20-24, 2006, Hong Kong.

3. J. Yu, J. Amores, N. Sebe, and Q. Tian, “Toward Robust Distance Metric Analysis for Similarity Estimation,” (acceptance rate: 23%, 318 papers out of about 1400 submissions) IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2006), New York, NY, June 17-22, 2006.

4. J. Yu and Q. Tian, “Constructing Descriptive and Discriminant Features for Face Classification,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), Best Student Paper, vol. 2, pp. 121-124, May 14-19, 2006, Toulouse, France.

5. J. Yu, J. Amores, N. Sebe, and Q. Tian, “A New Study on Distance Metrics as Similarity Measurement,” (Lecture paper: 20% acceptance rate out of 1028 submissions) IEEE International Conference on Multimedia and Expo (ICME 2006), pp. 533-536, July 9-12, 2006, Toronto, Ontario, Canada.

6. J. Yu and Q. Tian, “Toward Intelligent Use of Semantic Information on Subspace Discovery for Image Retrieval,” (Lecture paper: 20% acceptance rate out of 1028 submissions) IEEE International Conference on Multimedia and Expo (ICME 2006), pp. 293-296, July 9-12, 2006, Toronto, Ontario, Canada.

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Year 2005

Book Chapters:

1. Q. Tian, B. Moghaddam, N. Lesh, C. Shen, and T.S. Huang, “Visualization, Estimation and User-Modeling for Interactive Browsing of Personal Photo Libraries,” Chapter 9, pp. 193-222, Book Chapter of Managing Multimedia Semantics, edited by Dr. U. Srinivasan and Dr. S. Nepal, ICT Centre CSIRO, Australia, July 2005, ISBN 1-59140-569-6.

2. Q. Tian, Y. Wu, J. Yu and T.S. Huang, “Self-Supervised Learning Based on Discriminative Nonlinear Features and Its applications for Pattern Classification,” Chapter 3, pp.52-75, Book Chapter of Managing Multimedia Semantics, edited by Dr. U. Srinivasan and Dr. S. Nepal, ICT Centre CSIRO, Australia, July, 2005, ISBN 1-59140-569-6.

Journal Paper:

1. Q. Tian, Y. Wu, J. Yu, and T.S. Huang, “Self-Supervised Learning Based on Discriminative Nonlinear Features for Image Classification,” Pattern Recognition, Special Issue on Image Understanding for Digital Photographs, Vol. 38, No. 6, pp. 903-917, 2005.

Conference Papers:

1. J. Yu and Q. Tian, “Boosting Multiple Classifiers by Hybrid Discriminant Analysis for Face Identification,” SPIE’s Optics East, Multimedia Systems and Applications VIII, October 23-26, 2005, Boston, MA.

2. X. Su, Q. Tian, Q. Xue, N. Sebe, and J. Ma, “Neighborhood Issue in Single-Frame Image Superresolution,” IEEE International Conference on Multimedia and Expo (ICME 2005), Amsterdam, The Netherlands, July 6-8, 2005.

3. L. Zhang, Q. Tian, N. Sebe, and J. Ma, “Video Object Boundary Reconstruction by 2-Pass Voting,” IEEE International Conference on Multimedia and Expo (ICME 2005), Amsterdam, The Netherlands, July 6-8, 2005.

4. Q. Tian, J. Yu, and T. S. Huang, “Boosting Multiple Classifiers Constructed by Hybrid Discriminant Analysis,” Sixth International Workshop on Multiple Classifier Systems, Seaside, California, June 13-15, 2005. Also appear in Lecture Notes in Computer Science, editors N. C. Oza, R. Polikar, J. Kittler, et al., Springer-Verlag, Vol. 3541, pp. 42-52, 2005.

5. Q. Tian, L. Zhang, and J. Ma, “Voting Based Object Boundary Reconstruction,” (acceptance rate: 42%, 241 out of 540 submissions), Visual Communications and Image Processing, Beijing, China, July 12-15, 2005.

6. N. Sebe, N. Huijsmans, Q. Tian, and T. Gevers, “Towards Complete Performance Characterization in Content-based Retrieval,” Storage and Retrieval Methods and Applications for Multimedia (EI121), IS&T/SPIE's 17th Annual Symposium, Electronic Imaging, Science and Technology, January 16-20, 2005, San Jose, CA.

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Year 2004

Journal Paper:

1. B. Moghaddam, Q. Tian, N. Lesh, C. Shen, and T. S. Huang, “Visualization and User-Modeling for Browsing Personal Photo Libraries,” International Journal of Computer Vision, Special Issue on Content-Based Image Retrieval, 56(1/2/3), pp. 109-130, 2004.

Conference Papers:

1. Q. Tian, J. Yu, T. Rui, and T. S. Huang, “A Hybrid Feature Dimension Reduction Approach for Image Classification,” Information Technology and Communication (IT Com), SPIE International Symposium, Vol. 5601, pp. 13-23, Philadelphia, PA, October 25-28, 2004.

2. Q. Tian, Q. Xue, N. Sebe, and T. S. Huang, “Error Metric Analysis and Its Applications", Information Technology and Communication (IT Com), SPIE International Symposium, Vol. 5601, pp. 46-57, Philadelphia, PA, October 25-28, 2004.

3. N. Sebe, D. P. Huijsmans, and Q. Tian, “Complete Performance Graphics in Probabilistic Information Retrieval,” 2004 Pacific-Rim Conference on Multimedia (PCM 2004), November 30 - December 3, 2004, Tokyo Waterfront City, Japan.

4. Q. Tian, Q. Xue, J. Yu, N. Sebe, and T. S. Huang, “Toward An Improved Error Metric,” IEEE Int’l Conf. on Image Processing (ICIP’2004), vol. 4, pp. 2199-2202, Singapore, October 24-27, 2004.

5. Q. Tian, J. Yu, Q. Xue, N. Sebe, and T. S. Huang, “Robust Error Metric for Noise Estimation in Image Indexing,” the 4th International Workshop on Multimedia Data and Document Engineering (MDDE-04), in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2004), Washington, DC, June 27-July 2, 2004.

6. Q. Tian, B. Moghaddam, and T. S. Huang, “Towards An Improved Visualization and User-Modeling for Image Libraries,” the 4th IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP 2004), September 6-8, 2004, Marbella, Spain.

7. Q. Tian, J. Yu, Q. Xue, and N. Sebe, “A New Analysis of the Value of Unlabeled Data in Semi-Supervised Learning for Image Retrieval,” IEEE International Conference on Multimedia and Expo (ICME 2004), vol.2, pp. 1019-1022, Taipei, Taiwan, ROC, June 27-30, 2004.

8. Q. Tian, J. Yu, T. Rui, and T. S. Huang, “Parameterized Discriminant Analysis for Image Classification,” IEEE International Conference on Multimedia and Expo (ICME 2004), vol. 1, pp. 5-8, Taipei, Taiwan, ROC, June 27-30, 2004.

9. Q. Tian, J. Yu, Y. Wu, and T. S. Huang, “Learning Based on Kernel Discriminant-EM Algorithm for Image Classification,” IEEE Int’l Conf. on Acoustics, Speech, and Signal Processing (ICASSP’2004), vol. V, pp. 461-464, May 17-24, 2004, Montreal, Quebec, Canada.

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Year 2003

Journal Paper:

1. N. Sebe, Q. Tian, E. Loupias, M.S. Lew, and T. S. Huang, “Evaluation of Salient Points Techniques,” Image and Vision Computing, Vol. 21, No. 13-14, pp. 1087-1095, December, 2003.

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Year 2002

Conference Papers:

1. B. Moghaddam, Q. Tian, N. Lesh, C. Shen, and T. S. Huang, “PDH: A Human-Centric Interface for Image Libraries,” invited paper in Video-based HCI session, IEEE Int’l Conf. on Multimedia and Expo (ICME’2002), vol. 1, pp. 901-904, August 26-29, 2002, Lausanne, Switzerland.

2. Q. Tian, B. Moghaddam, and T. S. Huang, “Visualization, Estimation and User-Modeling for Interactive Browsing of Image Libraries,” Int’l Conf. on Image and Video Retrieval (CIVR’2002), pp. 7-16, London, UK, July 18-19, 2002.

3. N. Sebe, Q. Tian, E. Loupias, M. S. Lew, and T. S. Huang, “Evaluation of Salient Point Techniques,” Int’l Conf. on Image and Video Retrieval (CIVR’2002), pp. 367-377, London, UK, July 18-19, 2002.

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Year 2001 and before

Journal Papers:

1. Q. Tian, N. Sebe, M. S. Lew, E. Loupias, and T. S. Huang, “Image Retrieval Using Wavelet-Based Salient Points,” Journal of Electronic Imaging,  pp. 835-849, Vol. 10(4), October Issue, 2001.

2. Q. Tian, B. Sun, A. Ozguler, S. A. Morris, and W. D.  O’Brien, Jr., “Parametric Modeling in Food Package Defect Imaging,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (UFFC), Vol. 47, No. 3, pp. 635-643, May, 2000.

3. C. H. Frazier, Q. Tian, A. Ozguler, S. A. Morris, and W. D. O'Brien, Jr., “High Contrast Ultrasound Images of Detects in Food Package Seals,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (UFFC), Vol. 47, No.3, pp. 530-539, May 2000.

4. Q. Tian, and N.  M. Bilgutay, “Statistical Analysis of Split Spectrum Processing for Multiple Target Detection,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (UFFC), Vol. 45, No. 1, pp.251-256, January 1998.

5. Q. Tian, X. Li, and N. M. Bilgutay, “Multiple Target Detection Using Split Spectrum Processing and Group Delay Moving Entropy,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (UFFC), Vol. 42, No.6, pp.1075-1086, November 1995.

Conference Papers:

1. Q. Tian, B. Moghaddam, and T. S. Huang, “Display Optimization for Image Browsing,” 2nd Int’l Workshop on Multimedia Databases and Image Communications (MDIC’2001), pp. 167-173, Amalfi, Italy, September 17-18, 2001.

2. B. Moghaddam, Q. Tian, N. Lesh, C. Shen, and T. S. Huang, “Visualization & Layout for Image Libraries,” IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR’2001), Technical Sketches, Kauai, Hawaii, December 11-13, 2001.

3. Q. Tian, N. Sebe, M. S. Lew, E. Loupias, and T. S. Huang, “Content-Based Image Retrieval Using Wavelet-Based Salient Points,” Storage and Retrieval for Media Databases, SPIE Photonics West, Electronic Imaging, San Jose, California, January 21-26, 2001.

4. B. Moghaddam, Q. Tian, N. Lesh, C. Shen, and T. S. Huang, “Visualization & Layout for Personal Photo Libraries,” Int’l Workshop on Content-Based Multimedia Indexing (CBMI’2001), pp. 379-386, University of Brescia, Italy, September 19-21, 2001.

5. B. Moghaddam, Q. Tian, and T. S. Huang, “Spatial Visualization for Content-Based Image Retrieval,” IEEE Int’l Conf. on Multimedia and Expo (ICME’2001), Waseda University, Tokyo, Japan, August 22-25, 2001.

6. Q. Tian, Y. Wu, T. S. Huang, “Incorporating Discriminant Analysis with EM Algorithm in Image Retrieval”, IEEE Int’l Conf. on Multimedia and Expo (ICME’2000), Vol. 1, pp. 299-302, New York, NY, July 30-August 2, 2000.

7. Q. Tian, P. Hong, and T. S. Huang, “Update Relevant Image Weights for Content-Based Image Retrieval Using Support Vector Machines,” IEEE Int’l Conf. on Multimedia and Expo (ICME’2000), Vol. 2, pp. 1199-1202, New York, NY, July 30-August 2, 2000.

8. Q. Tian, Y. Wu, and T. S. Huang, “Combine User Defined Region-of-Interest and Spatial Layout for Image Retrieval,” IEEE Int’l Conf. on Image Processing (ICIP’2000), Vol. 3, pp. 746-749, Vancouver, BC, Canada, September 10-13, 2000.

9. N. Sebe, Q. Tian, M. S. Lew, E. Loupias, and T. S. Huang, “Color Indexing Using Wavelet-Based Salient Points,” IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL’2000), in conjunction with IEEE CVPR'2000, pp. 15-19, South Carolina, June 13-16, 2000.

10. Y. Wu, Q. Tian, and T. S. Huang, “Discriminant EM Algorithm with Application to Image Retrieval,” IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR’2000), Vol.1, pp. 222-227, South Carolina, June 13-15, 2000.

11. P. Hong, Q. Tian, and T. S. Huang, “Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevance Feedback,” IEEE Int’l Conf. on Image Processing (ICIP’2000), Vancouver, Canada, September 10-13, 2000.

12. Y. Wu, Q. Tian, and T. S. Huang, “Integrating Unlabeled Images in Relevance Feedback for Image Retrieval,” The IEEE 15th Int’l Conf. on Pattern Recognition (ICPR’2000), Vol.1, pp. 21-24, Barcelona, Spain, September 3-8, 2000.

13. Q. Tian, A. Ozguler, S. A. Morris, and W. D. O'Brien, Jr., “High-Contrast RF Correlation Imaging of Defects in Food Package Seals,” IEEE Int’l Ultrasonics Symposium (US’1999), Vol. 1, pp. 809-912, Lake Tahoe, Nevada, October 17-21, 1999.

14. Q. Tian, and N. M. Bilgutay, “Statistical Analysis of Split Spectrum Processing,” 1996 IEEE Int’l Ultrasonics Symposium (US’1996), Vol. 1, pp. 709-712, San Antonio, Texas, November 3-6, 1996.

15. Q. Tian, X. Li, and N. M. Bilgutay, “An Iterative Spectral Method for Multiple Target Detection,” IEEE Int’l Ultrasonics Symposium (US’1995), Vol. 1, pp. 712-724, Seattle, WA, November 7-10, 1995.

16. X. Li, W. Fang, and Q. Tian, “Error Analysis and Robust Data Fusion,” 1994 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’1994), Vol. 4, pp. 37-40, Adelaide, Australia, April 1994.

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Last Updated: January 2024