Zhejiang University, Bachelor Majored in Computer Science
ACM/ICPC Team, Member Attending Programming Contests
Shanghai Jiao Tong University, Master Majored in Computer Science
BCMI Lab, Staff Working on Ensemble Learning
Humansensing Lab, Staff Working on Human Behavior Analysis, Facial Expression Analysis, Feature Matching
Carnegie Mellon University, Master Majored in Robotics
Carnegie Mellon University, PhD Majored in Robotics
NEC Lab Fine-Grained Recognition
Baidu Research Fine-Grained Recognition Car Damage Detection Human Pose Tracking Autonomous Driving
Aibee Inc. Face Recognition Face Anti-spoofing Face Clustering Object Detection
I am a tech leader at AIBee Inc, where I lead a team with 30 members to solve various face-related problems such as Face Recognition, Face Anti-spoofing, Face Clustering, etc. and other vision technologies include Object Detection and Object Segmentation to digitalize the offline world.
Before I was leading the Fine-Grained Object Recognition direction at Baidu Research in Sunnyvale and Media Analytics group, NEC Lab in Cupertino. In 2014, I received the PhD in Robotics from Carnegie Mellon University, where I worked with Dr. Fernando de la Torre in the Human Sensing Lab. During my PhD study, I did two internships, one at Adobe's Advanced Technology Labs at San Jose, and the other in Interactive Visual Media group, Microsoft Research at Redmond.
My research is in the area of computer vision and machine learning. I am passionate in developing computational methods that can understand multi-modal data (e.g., image, video, motion capture, depth data) in the wild. Motivated by this goal, I have been working on the projects on Fine-Grained Object Recognition, Graph Matching, Temporal Clustering of Human Behavior, Temporal Alignment of Human Motion, Facial Event Discovery, Facial Landmark Localization, Human Pose Estimation and Time Mapping & Video Saliency.