[Dec., 2017] 6 papers accepted by CVPR/ICCV/NIPS/AAAI/T-PAMI in 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.
I am a 2nd year Ph.D. student in MMLab in Chinese University of Hong Kong, established by Prof. Xiaoou Tang and supervised by Prof. Xiaogang Wang .
My research interests include: (1) AutoML with genetic algorithm, (2) face/body analysis (detection, attribute, recognition, synthesis) in large scale (>1M identities) and (3) interpretability for deep neural network.
From 2016 to 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.
In recent years I served as a reviewer for CVPR, IJCV, TCSVT.
Projects & DatasetsGitHub
(Oral) 2019 AAAI Conference on Artificial Intelligence (AAAI)Buyu Li*, Yu Liu*, Xiaogang Wang (*equal contribution) Talking Face Generation by Adversarially Disentangled Audio-Visual Representation PDF Code
(Oral) 2019 AAAI Conference on Artificial Intelligence (AAAI)Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang. Transductive Centroid Projection for Semi-supervised Large-scale Recognition PDF
2018 European Conference on Computer Vision (ECCV)Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang. Exploring Disentangled Feature Representation Beyond Face Identification PDF Page
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 PDF
2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Guanglu Song*, Yu Liu*, Ming Jiang, Yujie Wang, Junjie Yan, Biao Leng (*equal contribution) Rethinking Feature Discrimination and Polymerization for Large-scale Recognition PDF Code
2017 Conference on Neural Information Processing Systems (NIPS) deep learning 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
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 Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection PDF Code
International Journal of Computer Vision (IJCV), 2018Hongyang Li, Yu Liu, W Ouyang, X Wang Learning Deep Features via Congenerous Cosine Loss for Person Recognition PDF Code
arxiv:1702.06890, 2017Yu Liu, Hongyang Li, Xiaogang Wang POI: Multiple Object Tracking with High Performance Detection and Appearance Feature PDF
2016 European Conference on Computer Vision (ECCV) 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 Intelligence (T-PAMI)X 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