• Resume


[Sep.5, 2017] One paper accepted by NIPS 2017!
[Jul.17, 2017] One paper accepted by IEEE ICCV 2017!
[Mar.4, 2017] Two papers accepted by IEEE 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.


From 2017 to 2021 (I hope so :) ), I am a Ph.D. student in Chinese University of Hong Kong, supervised by Prof. Xiaogang Wang . My research interests include object detection, recognition and generative model.
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 Jun. 2016, I receive my bachelor of Eng. degree with best bachelor thesis award in Beihang Univ.!.

Projects & Datasets

CaffeMex v2.3
Y Liu, H Li

A multi-GPU & memory-reduced MAT-Caffe on LINUX and WINDOWS

Labeled Pedestrains in the Wild
Y Liu, G Song

A large scale pedestrain re-identification benchmark


Google Scholar
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition (PDF and code coming soon)
Yu Liu, Hongyang Li, Xiaogang Wang.

2017 Conference on Neural Information Processing Systems (NIPS)

Recurrent 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
Y Liu, J Yan, W Ouyang

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Scale-Aware Face Detection PDF Code(coming soon)
Z Hao, Y Liu, H Qin, J Yan

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Learning Deep Features via Congenerous Cosine Loss for Person Recognition PDF Code
Y Liu, H Li, X Wang

arxiv:1702.06890, 2017

Zoom Out-and-In Network with Recursive Training for Object Proposal PDF Code
H Li, Y Liu, W Ouyang, X Wang

arxiv:1702.05711, 2017

POI: 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, workshop

Crafting 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, ...

arxiv:1610.02579, 2016

3D object understanding with 3D Convolutional Neural Networks PDF
B Leng, Y Liu, K Yu, X Zhang, Z Xiong

Information Sciences 366, 188-201, 2016