[Nov.13, 2017] One paper accepted by AAAI 2018!
[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
2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Yu Liu, Fangyin Wei, Jing Shao, Lv Sheng, Junjie Yan, Xiaogang Wang. Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy
2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Guanglu Song*, Yu Liu*, Junjie Yan, Xiaogang Wang (*equal contribution) Rethinking Feature Discrimination and Polymerization for Large-scale Recognition PDF Code
2017 Conference on Neural Information Processing Systems (NIPS) workshopYu Liu, Hongyang Li, Xiaogang Wang. Recurrent Scale Approximation for Object Detection in CNN PDF Code
2017 IEEE International Conference on Computer Vision (ICCV)Yu Liu, Hongyang Li, Junjie Yan et al. Quality Aware Network for Set to Set Recognition PDF Code
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Yu Liu, Junjie Yan, Wanli Ouyang Scale-Aware Face Detection PDF Code(coming soon)
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan Region-based Quality Estimation Network for Large-Scale Person Re-identiﬁcation PDF Code
2018 AAAI Conference on Artificial Intelligence (AAAI)Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai Learning Deep Features via Congenerous Cosine Loss for Person Recognition PDF Code
arxiv:1702.06890, 2017Yu Liu, Hongyang Li, Xiaogang Wang Zoom Out-and-In Network with Recursive Training for Object Proposal PDF Code
arxiv:1702.05711, 2017Hongyang Li, Yu Liu, W Ouyang, X Wang POI: Multiple Object Tracking with High Performance Detection and Appearance Feature PDF
European Conference on Computer Vision (ECCV), 2017, workshopF Yu, W Li, Q Li, Y Liu, X Shi, J Yan Crafting GBD-Net for Object Detection PDF Code
IEEE Transactions on Pattern Analysis and Machine IntelligenceX Zeng, W Ouyang, J Yan, H Li, T Xiao, K Wang, Y Liu, Y Zhou, B Yang, ... 3D object understanding with 3D Convolutional Neural Networks PDF
Information Sciences 366, 188-201, 2016B Leng, Y Liu, K Yu, X Zhang, Z Xiong