[Sep.05, 2017] One paper accepted by workshop in NIPS 2017!
[Sep.01, 2017] One paper accepted by T-PAMI!
[Jul.17, 2017] One paper accepted by ICCV 2017!
[Mar.04, 2017] Two papers accepted by CVPR 2017!
[Nov., 2016] We win the first place in ILSVRC2016 DET (aka ImageNet)! We also release our Code.
[Jun., 2016] We win the first place in ECCV-MOT16 Challenge! We also release our appearance feature here.
My research interests include: (1) face/person analysis (detection, attribute and recognition) in large scale (>1M identities). Specifically, exploring strategy for metric learning, transfer learning and optimization methods with good generalization ability on mass data. (2) 2/3D object detection and (3) interpretability for deep neural network.
In 2016~2017, I was a computer vision researcher in Sensetime Group Limited.
In 2015~2016, I was a research intern in Microsoft Research Asia.
In 2016, I received my bachelor degree with best bachelor thesis award in Beihang University.
Projects & DatasetsGitHub
Yu Liu, Hongyang Li, Xiaogang Wang.
2017 Conference on Neural Information Processing Systems (NIPS) workshopRecurrent Scale Approximation for Object Detection in CNN PDF Code
Yu Liu, Hongyang Li, Junjie Yan et al.
2017 IEEE International Conference on Computer Vision (ICCV)Quality Aware Network for Set to Set Recognition PDF Code
Yu Liu, Junjie Yan, Wanli Ouyang
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Scale-Aware Face Detection PDF Code(coming soon)
Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Region-based Quality Estimation Network for Large-Scale Person Re-identiﬁcation PDF Code
Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai
2018 AAAI Conference on Artificial Intelligence (AAAI)Learning Deep Features via Congenerous Cosine Loss for Person Recognition PDF Code
Yu Liu, Hongyang Li, Xiaogang Wang
arxiv:1702.06890, 2017Zoom Out-and-In Network with Recursive Training for Object Proposal PDF Code
Hongyang Li, Yu Liu, W Ouyang, X Wang
arxiv:1702.05711, 2017POI: Multiple Object Tracking with High Performance Detection and Appearance Feature PDF
F Yu, W Li, Q Li, Y Liu, X Shi, J Yan
European Conference on Computer Vision (ECCV), 2017, workshopCrafting GBD-Net for Object Detection PDF Code
X Zeng, W Ouyang, J Yan, H Li, T Xiao, K Wang, Y Liu, Y Zhou, B Yang, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence3D object understanding with 3D Convolutional Neural Networks PDF
B Leng, Y Liu, K Yu, X Zhang, Z Xiong
Information Sciences 366, 188-201, 2016