Qi Tian

Dr. Qi Tian is a great leader in both academia and industry. In academia, Dr. Tian is an internationally-recognized and highly-cited researcher in the field of multimedia information retrieval and computer vision. His major technical contributions are large-scale image retrieval, person re-identification and neural architecture search. In industry, Dr. Tian currently the Chief Scientist in AI at Huawei Cloud, has been applying the AI algorithms to real-world scenarios. He realized that AI will never be successful if engineers keep customizing an algorithm for each scenario that can incur heavy human labor. To overcome the difficulty, he led the team to construct a series of Pangu large-scale pre-trained models.

News

1. Our Pangu Weather paper was accepted in principle to Nature, April 2023.

2. Seven papers were accepted to CVPR 2023.

Honors and Awards

Service

1. Area Chair, ICCV 2023, Paris, France, October 2-6, 2023.

2. Area Chair, CVPR 2022, New Orleans, Louisiana, United States, June 19-23, 2022.

3. Area Chair, ACM Multimedia, October 10-14, 2022, Lisbon, Portugal.

4. Industry and Practitioners Chairs, ACM ICMR 2022, Newmark, NJ, USA, June 27-30, 2022.

5. ChinaMM 2022 华为论坛多模态预训练和识别 Workshop组织者， 2022年7月20-23日

6. Area Chair, ACM Multimedia 2021, Chengdu, China, October 20-24, 2021.

7. Best Paper Award Committee, MM-Asia, 2021.

8. Area Chair, ACM Multimedia 2020, Seattle, WA, USA, October 12-16, 2020.

9. General Chair, ACM Multimedia Asia (MM Asia), Singapore, December 16-18, 2020.

10. Sponsorship Chair, ACM Multimedia 2019, Nice, France, October 21-25, 2019.

Publications

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

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

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

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,” Accepted to European Conference on Computer Vision (ECCV) Amsterdam, the Netherlands, October 8-16, 2016.

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

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

L. Zheng, H. Zhang, S. Sun, M. Chandraker, and Q. Tian , “Person Re-Identification in the Wild,” Accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), spotlight paper, acceptance rate: 8.02%, Honolulu, Hawaii, July 21-26, 2017.

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

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