I now work as an engineer at Momenta, with the parking perception team. Before that, I got my master’s degree in computer science at Shanghai Jiao Tong University, supervised by Prof. Lizhuang Ma, worked on monocular lane detection, segmentation, and explored learning with limited human supervision. Currently, I’m focusing on deep learning applications in self-driving perception, and how to bring these technologies into real-world solutions.
As for my personal life, I’m a once renowned Go player (5 dan) and a video creator (my studio). I also sincerely appreciate good stories, no matter told in books, films, TV series, or any other story-telling methods.
Education
- 2013.9 - 2016.6: Qingdao No.2 High School
- 2016.9 - 2020.6: Harbin Institute of Technology, Weihai (BEng in information security)
- 2020.9 - 2023.3: Shanghai Jiao Tong University DMCV Lab (MSc in computer science)
Work
- 2021.6 - 2022.12: Intern at Shanghai AI Lab & SenseTime, worked on MOT and framework developments, mentored by Dr. Min Wang.
- 2023.4 - now: R&D Engineer at Momenta.
Selected Publications
Rethinking Efficient Lane Detection via Curve Modeling CVPR 2022
Zhengyang Feng, Shaohua Guo, Xin Tan, Ke Xu, Min Wang, Lizhuang Ma
DMT: Dynamic Mutual Training for Semi-Supervised Learning Pattern Recognition 2022
Zhengyang Feng, Qianyu Zhou, Qiqi Gu, Xin Tan, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation ICCV 2021
Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma
See full listing of my publications & preprints at Google Scholar.
Open-Source Contributions
- Author of PytorchAutoDrive, a unified platform for self-driving perception tasks.
- Author of Python package importmagician.
- Contributed code to pytorch/vision, OpenPerceptionX/OpenLane, karstenBehrendt/unsupervised_llamas.
Academic Services
- Reviewer for TMM, TVC, Neurocomputing, ICME, ICONIP, etc.
Awards
- 2nd place at 7th BMTT MOTChallenge (MOTSynth-MOT-CVPR22)
Email: zyfeng97@outlook.com