Fei Wang

Associate Research Director
SenseTime Group Limited

About Me

Fei Wang is the Associate Research Director of SenseTime. He leads a vibrant team to do fundamental research of computer vision and develop comprehensive solutions for the mobile intelligence industry. The goal of his team is to establish AI systems that make edge devices more intelligent and efficient. His research interests include Deep Learning, Edge Computation, etc. He has gained over 1000 Google Scholar Citations with recent publications during the last few years. Fei obtained his Bachelor’s degree and Master's degree from Beijing University of Posts and Telecommunications.

Highlights

  • 【2020】We are recruiting interns and full-time researchers/engineers. Strong self-motivation is the primary factor of the candidates. If you would be interested, you can send me your resume.
  • 【2020】2 papers accepted by NIPS 2020.
  • 【2020】1 paper accepted by ECCV 2020.
  • 【2020】4 papers accepted by CVPR 2020.
  • 【2019】VOT-RT 2019 Championship!
  • 【2019】Organizer of Person in Context Challenge (PIC), ICCV 2019 workshop
  • 【2019】1 paper accepted by ICCV 2019.
  • 【2019】1 paper accepted by AAAI 2019.
  • 【2018】MEGAFACE Championship!
  • 【2018】1 paper accepted by ECCV 2018.
  • 【2017】1 spotlight paper accepted by CVPR 2017.

Publications

PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection
Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Chen Qian, Jiashi Feng
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[PDF] [Github]

GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[PDF

CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection
Zhiwei Dong, Guoxuan Li, Yue Liao, Fei Wang, Pengju Ren, Chen Qian
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[PDF] [Github]

A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension
Yue Liao, Si Liu, Guanbin Li, Fei Wang, Yanjie Chen, Chen Qian, Bo Li
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[PDF] [Github]

Deep Comprehensive Correlation Mining for Image Clustering
Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha
The IEEE International Conference on Computer Vision (ICCV), 2019.
[PDF] [Github]

A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation
Yihua Cheng, Shiyao Huang, Fei Wang, Chen Qian, Feng Lu
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
[PDF

The Devil of Face Recognition is in the Noise
Fei Wang, Liren Chen, Cheng Li, Shiyao Huang, Yanjie Chen, Chen Qian, Chen Change Loy
The European Conference on Computer Vision (ECCV), 2018.
[PDF] [Github]

Residual Attention Network for Image Classification
Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (Spotlight)
[PDF] [Github]

Professional Activities

Conference Reviewer

  • ICCV 2019, AAAI 2019, CVPR 2020 and ECCV 2020.
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