Crowd Behavior Analysis
Video Object Detection
University: The Chinese University of Hong Kong (CUHK)
Department: Department of Electronic Engineering
University: University of Science and Technology of China (USTC)
School: School of the Gifted Young
Department: Department of Optics and Optical Engineering
Degree: B.S. in Optics
Staff Machine Learning Engineer & Engineering Manager. Video Engineering.
Machine Learning Manager. Video Engineering.
Senior Machine Learning Engineer. Video Engineering.
Technical lead for computer vision and machine learning algorithm development for camera related applications.
Computer Vision/Machine Learning Engineer. Video Engineering.
Directly responsible for Face ID antispoofing algorithms since iOS 11.3 for iPhone X, iPhone XS, XS Max, XR and 2018 iPad Pros.
2020: Outstanding Young Author Award, IEEE Circuits and Systems Society (CASS). "T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos", T-CSVT 2018.
2012: Best Software Tools Project (USTC-Software), International Genetically Engineered Machine (iGEM) Competition World Championship, MIT, Massachusetts, USA
2012: Gold Medal (USTC-Software), International Genetically Engineered Machine (iGEM) Competition Asia Jamboree, HKUST, Hong Kong
PhD candidate in Electronic Engineering, The Chinese University of Hong Kong
Lab: Multimedia Laboratory, The Chinese University of Hong Kong
Research Areas: Object detection in videos, crowd behavior analysis, computer vision and deep learning
Details see publications.
Project Topic: Reverse Engineering for Biological Regulatory Networks (REBORN)
Medal: Gold Medal
Prize: Best Software Tools Project
The International Genetically Engineered Machine (iGEM) Competition is a worldwide synthetic biology competition aimed at building simple biological system from standard, interchangeable parts and operate them in living cells. This year, 191 teams from 21 countries were registered, and 71 teams advanced to the world championship, in which 12 software team were registered, and 9 of them advanced to world championship.
June, 2016: Object Detection from Video Tubelets with Convolutional Neural Networks, Computer Vision and Pattern Recognition (CVPR) Spotlight, Las Vegas, NV, USA. video
Dec, 2015: Object Detection in Videos with Tubelets and Multi-Context Cues, ImageNet and MS COCO Visual Recognition Challenges Joint Workshop, ICCV 2015, Santiago, Chile. slides poster video
Nov, 2012: Reverse Engineering for Biological Regulatory Networks, iGEM World Jamboree, MIT, Cambridge, MA, USA
Oct, 2012: REBORN: Synthetic Biology Tools for Hackers, iGEM Asia Jamboree, HKUST, Hong Kong
More projects on GitHub.