Note: CV hasn’t been updated for a long period.

Education

B.S. in Shanghai Jiao Tong University,China, Jun.2018

• Academic Excellence Scholarship of SJTU(Top 15%), Oct.2016
• Academic Progress Scholarship of SJTU, Oct.2015

Publications

Anonymous Submission
Hao-Shu Fang, Guansong Lu, Xiaolin Fang, Yu-Wing Tai, Cewu Lu
*Submitted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Anonymous Submission
Hao-Shu Fang, Jinkun Cao, Yu-Wing Tai, Cewu Lu
*Submitted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Learning pose grammar to encode human body configuration for 3d pose estimation [arXiv]
Hao-Shu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, Song-Chun Zhu
(Oral) AAAI Conference on Artificial Intelligence, (AAAI), 2018. (* contributed equally).

RMPE: Regional Multi-person Pose Estimation [arXiv]
Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai, Cewu Lu.
IEEE International Conference on Computer Vision (ICCV), 2017.

Research experience

Center for VCLA, UCLA: 06,2017-09,2017
Visiting Undergraduate Research Intern, focusing on 3D pose estimation.
Advised by Prof. Song-Chun Zhu

Tencent, YouTu Lab: 02,2017-06,2017
Research Intern, focusing on recognizing human-object-interaction.
Advised by Prof. Yu-Wing Tai

Machine Vision and Intelligence Group, SJTU, 06,2016 – present
Research Assistant, focusing on human pose estimation, part segmentation and deep reinforcement learning.
Advised by Prof. Cewu Lu

Intership experience

SenseTime, 07-12.2016
Computer Vision Research & Engineer Intern
Object Detection&Classification, Scene Classification, Model compression,Pose Estimation

Competitions & Awards

• ICCV 2017 Workshop, COCO Keypoints Challenge, 2017.10

  8 mAP higher than the champion from last year. The 6th place.

• CVPR 2017 Workshop, Look Into Person (LIP) Challenge, 2017.5

  Third place at the 1st Look Into Person (LIP) Challenge of CVPR’17 workshop on Visual Understanding of Humans in Crowd Scene

• Microsoft Beauty of Programming 2016, 2016.3 – 2016.5

  Enter the finalist (60/20000) and our team gets the Best Demo prize(Top 0.1%).

• ASC16 Student Supercomputer Challenge, 2016.1 - 2016.4

  Our team is the 2nd among 178 teams

• Microsoft Penta Hackathon, 2015.11

  Our Team ranks top 12. The demo of our product is here: https://youtu.be/7uL-M7eat9Q

• Intel Parallel Application Challenge 2015, 2015.5 - 2015.11

  Compete with more than 200 teams from all over the country. Our team is the 4th.

Skills

• Lauguages: C/C++, Python, Lua, MATLAB, etc.
• Frameworks: Torch, Tensorflow, Caffe, Hadoop, etc.