Awards and Recognition

15 international competitions won
& world records on established data sets

Face Detection - Alignment - Recognition - Attributes

• 2017 & 2018: Winner of double titles of NIST Unrestricted           Face Recognition Competition
• 2017: Winner of double titles of MS-Cele-1M Face Challenge
• 2019: Winner of three titles of ICCV LFR Challenge

Vehicle Plate Detection - Tracking - Recognition,
Traffic Anomaly Detection

• Champion of "unsupervised traffic anomaly detection" in CVPR
   smart city challenge 2018
• VERI-Wild and VCIP will be refreshed by vehicle ReID in 2019
• World record of 2019 vehicle re identification grand challenge

Target Tracking, Pedestrian Detection, Pedestrian Re-
Recognition (RE-ID) and Behavior Recognition

• 2013: International VOT Champion
• 2015: Caltech Dataset World Champion
• 2019: World champion in REID CUHK03, DukeMTMC-reID 

   and Market1501 Datasets
• 2019: World champion in REID PRID-2011, iLIDS-VID and       

   MARS Datasets
• 2019: World champion in CF-Crime and ShanghaiTech

   Campus Datasets

Intelligent Robotics and Automatic Driving

• 2018: Champion of IROS Mobile Robot Competition
• 2018: Champion of NIPS AI-DO (AI Driverless Car Olympic)

   Competition
• 2019: Third place in ISMAR AR-SLAM Challenge - Visual

   Navigation VSLAM Competition

Automatic Emotion Recognition

• 2017: Runner up of MEC2017 Face, Speech and Emotion
Bimodal Recognition Competition

Speech Recognition

• 2015: World No.1 in Voiceprint Recognition RSR2015 Dataset

Object Detection, Image Segmentation, Image Classification, Scenario Recognition and Image Enhancement

• 2010, 2011 and 2012: Champions of Pascal VOC (predecessor of Imagenet) Visual Object Detection and Classification Competitions

Transfer Learning and Small Sample Learning

• 2020: Runner up of CVPR CD-FSL
• 2020: Set a world record in Market1501, DukeMTMC-reID and
MSMT17 Datasets