Wanqi Y
Algorithm Researcher at SenseTime 商汤科技
Singapore
Summary
🤩
Rockstar🎓
Top SchoolWanqi Y is an algorithm researcher based in Singapore with eight years of experience building and deploying computer vision and human-pose systems. Currently at SenseTime, she develops multi-camera and markerless motion-capture pipelines, SMPL/SMPL-X fitting and dataset annotation, and end-to-end 2D/3D pose and behavior analysis models that move from research into production. Prior roles at Panasonic and Huawei focused on robust face recognition, imbalanced-data solutions, image super-resolution and practical CV applications like SKU and food classification. She brings hands-on expertise in DL model training, deployment, ROS-integrated perception for robotics, and open-source project work, pairing academic training from The University of Tokyo, TUM and NTU with product-minded engineering. An understated strength is her track record of translating complex 3D human modeling research into scalable annotation and inference tools used across datasets and systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Technical University MunichBachelor’s Degree, Bachelor’s Degree at Nanyang Technological UniversityUniversity of Tokyo
English, Chinese, Japanese
Github Skills (12)
motion-capture10
feature-matching10
intrinsics10
mocap10
toolbox9
benchmark9
python8
parametric7
openmmlab7
structure-from-motion7
pytorch6
deep-learning5
Programming languages (1)
Github contributions (5)
wqyin/xrmocap
Sep 2022 - Jul 2023
OpenXRLab Multi-view Motion Capture Toolbox and Benchmark
Contributions:102 pushes, 20 branches in 10 months
multi-viewtoolboxmotionbenchmarkmotion-capture
wqyin/wqyin.github.io
Mar 2024 - Feb 2025
Contributions:13 pushes, 1 branch in 11 months
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