Yining Li
Senior Researcher at SenseTime 商汤科技
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolYining Li is a research scientist and experienced ML engineer based in Shanghai with a decade of experience in computer vision and pose estimation. Currently at Shanghai AI Laboratory and also a Senior Researcher at SenseTime, she has bridged research and engineering to deliver practical 3D pose pipelines and dataset integrations. Her open-source contributions to prominent OpenMMLab projects like mmcv and mmpose include improving EvalHook, adding transform features, and integrating a Body3D dataset with camera parameters—work that strengthens both robustness and usability for the wider CV community. Trained at Tsinghua and The Chinese University of Hong Kong, she combines solid academic foundations with hands-on system-level improvements that often focus on maintainability and visualization of 3D keypoint data.
10 years of coding experience
学士, 自动化, 学士, 自动化 at 清华大学The Chinese University of Hong Kong (CUHK)
Github Skills (19)
pytorch10
pose-detection10
python10
data-science10
keypoint10
machine-learning10
data-structure10
feature-detection10
pose-estimation10
3d10
data-structures10
computer-vision10
web-framework10
evaluation9
configuration-management9
Programming languages (3)
Github contributions (5)
open-mmlab/mmpose
Mar 2021 - Jan 2023
OpenMMLab Pose Estimation Toolbox and Benchmark.
Role in this project:
Data Scientist
Data ScientistContributions:30 releases, 676 reviews, 286 commits in 1 year 10 months
Contributions summary:Yining primarily contributed to the development and integration of a 3D pose estimation pipeline, including enhancements to the existing dataset loading and evaluation framework. They added support for a new dataset (Body3D), including dataset interfaces and camera parameters. They also refactored the 3D head implementation and introduced code for model performance evaluation and visualization, specifically for 3D keypoint data.
hourglassface-keypointbenchmarkopenmmlabhuman-pose
open-mmlab/mmcv
Jun 2021 - Jun 2022
OpenMMLab Computer Vision Foundation
Role in this project:ML Engineer
ML EngineerContributions:23 reviews, 13 commits, 7 PRs in 1 year
Contributions summary:Yining primarily contributed to the `mmcv` library, which is a foundation for computer vision projects. Their work focused on enhancing the `EvalHook` functionality, including case-insensitive matching and configurable test functions. They also introduced support for deprecation information in config files, improving the library's maintainability. Furthermore, the user added new transform features and updated documentation related to the `RandomApply` feature.
visiondeep-learningcomputer-visionfoundationopenmmlab
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.