Profile image
Shuo Wang, M.E.
Autonomous driving

About Me (CV)

Now I'll shift my research direction to the field of autonomous driving.

Before that, I worked at Alibaba DAMO Academy and CV lab of JDAI lead by Prof. Tao Mei . I'm very fortunate to work with Xiaobo Wang and Kai Wang.

I received my M.E. degree in 2016 from University of Chinese Academy of Sciences, supervised by Prof. Stan Z. Li and Prof. Zhen Lei and B.E. from Yanshan University, China in 2013.

My research areas include effective computing, data condensation, autonomous driving, face analysis, noisy robust learning and so on.

News

  • Mar. 2022: 2 papers have been accepted by CVPR2022 .
  • Feb. 2022: 1 paper has been accepted by IEEE TIP .
  • Oct. 2021: Standard face recognition track champion on WebFace260M Track of ICCV21-MFR.
  • Aug. 2021: One paper has been accepted by ICCVW 2021.
  • May. 2021: RVFace: Reliable Vector Guided Softmax Loss for Face Recognition is now public avaliable.
  • Mar. 2021: 1 paper submitted to ICCV2021
  • Jan. ~ Dec. 2020: 3 papers have been accepted by AAAI, ICML, ECCV2020 respectively.
  • Oct. 2019: Our team achieved 2nd place in LFR2019 Challenge.
  • Oct. 2019: Our team won in RLQ2019 Challenge.
  • July. 2019: 1 paper has been accepted by ICCV2019 Oral.
  • Feb. 2019: Our team achieved 1st place in WIDER FACE Challenge.

Publications

An Efficient Training Approach for Very Large Scale Face Recognition
Kai Wang, Shuo Wang*, Panpan Zhang, Zhipeng Zhou, Zheng Zhu, Xiaobo Wang, Xiaojiang Peng, Baigui Sun and Yang You
(equal first author)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Conference
Paper Code


RVFace: Reliable Vector Guided Softmax Loss for Face Recognition
Xiaobo Wang, Shuo Wang*, Yanyan Liang, Liang Gu and Zhen Lei
(equal first author)
IEEE Transaction on Image Processing (IEEE TIP, SCI1), 2022
Journal
Paper Code


CAFE: Learning to Condense Dataset by Aligning Features
Kai Wang, Bo Zhao，Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang and Yang You
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Conference
Paper Code


Loss Function Search for Face Recognition
Xiaobo Wang*, Shuo Wang*, Cheng Chi , Shifeng Zhang and Tao Mei
(* indicates equal contribution)
International Conference on Machine Learning (ICML), 2020
Conference
Paper Code


Mis-classified Vector Guided Softmax Loss for Face Recognition
Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Hailin Shi and Tao Mei
Association for the Advance of Artificial Intelligence (AAAI), Oral, 2020
Conference
Paper Code


Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition
Xiaobo Wang, Tianyu Fu, Shengcai Liao, Shuo Wang, Zhen Lei and Tao Mei
European Conference on Computer Vision (ECCV), 2020
Conference
Paper


Co-Mining: Deep Face Recognition With Noisy Labels
Xiaobo Wang*, Shuo Wang*, Jun Wang, Hailin Shi and Tao Mei
(* indicates equal contribution)
International Conference on Computer Vision (ICCV) Oral, 2019
Conference
Paper


Support Vector Guided Softmax Loss for Face Recognition
Xiaobo Wang*, Shuo Wang*, Jun Wang and Tao Mei
(* indicates equal contribution)
Conference
PaperCode


Awards and Competitions

Reviewer

Work Experience

Alibaba DAMO Academy
Machine Intelligence Vision Lab
R&D
Sept. 2019 - Nov. 2021
JDAI
CV Lab
Research and development of face-related algorithms, including face recognition, landmark, detection. Take participate in competition and paper contribution
Apr. 2018 - Aug. 2019
AuthenMetric
Algorithm R&D Department
Research and development of face-related algorithms, including recognition, model compression. Model deploy
Jun. 2016 - Apr. 2018

Copyright © Shuo Wang 2021