Han Hu is currently a lead researcher in Visual Computing Group at Microsoft Research Asia (MSRA). He received the Ph.D degree in 2014 under the supervision of Prof. Jie Zhou and B.S. degree in 2008 from Tsinghua University. His Ph.D dissertation was awarded Excellent Doctoral Dissertation Award of CAAI at 2016. He was a visiting student in University of Pennsylvania under supervision of Prof. Jianbo Shi from October, 2012 to April, 2013. Before he joined MSRA in Dec. 2016, he worked at Institute of Deep Learning (IDL), Baidu Research.
His current research focus is on deep learning for computer vision. Please send him an email if you are interested in internship or joint ph.D program related to computer vision or deep learning.
Invited as an area chair of CVPR2021.
GCNet received the best paper award at ICCV 2019 Neural Architects Workshop.
Code available for RepPoints.
Three papers accepted by ICCV 2019.
GCNet is merged into MMDetection.
Code available for GCNet.
One paper accepted in ECCV 2018.
Code available for Relation Networks for Object Detection.
One paper accepted in CVPR 2018 as oral (PPT).
We won 3rd place in COCO detection challenge 2017, by a simple and clean entry based on Deformable ConvNets.)
(†Interns *Equal Contribution)
Dense RepPoints: Representing Visual Objects with Dense Point Sets
Ze Yang†*, Yinghao Xu†*, Han Xue†*, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu
Tech Report, 2019 [Arxiv]
Local Relation Networks for Image Recognition
Han Hu, Zheng Zhang, Zhenda Xie and Stephen Lin
In ICCV, 2019 [Arxiv]
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Yue Cao†*, Jiarui Xu†*, Stephen Lin, Fangyun Wei and Han Hu
In ICCV workshop on Neural Architects, 2019 [Arxiv] [Code] [@mmdet] Best Paper Award
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu†, Han Hu, Stephen Lin and Jifeng Dai
In CVPR, 2019 [Arxiv]
Spatial-Temporal Relation Networks for Multi-Object Tracking
Jiarui Xu†, Yue Cao†, Zheng Zhang, Han Hu
In ICCV, 2019 [Arxiv]
Deep Metric Transfer for Label Propagation with Limited Annotated
Bin Liu†*, Zhirong Wu*, Han Hu and Stephen Lin
Tech Report, 2018 [Arxiv]
Learning Region Features for Object Detection
Jiayuan Gu†, Han Hu, Liwei Wang, Yichen Wei and Jifeng Dai
In ECCV, 2018 [Arxiv]
Deformable Convolutional Networks
Jifeng Dai*, Haozhi Qi†*, Yuwen Xiong†*, Yi Li†*, Guodong Zhang†*, Han Hu and Yichen Wei
In ICCV, 2017 [Arxiv] Oral
WordSup: Exploiting Word Annotations for Character based Text Detection
Han Hu*, Chengquan Zhang*, Yuxuan Luo, Yuzhuo Wang, Junyu Han and Errui Ding
In ICCV, 2017 [Arxiv]
Depth Estimation using a Sliding Camera
Kailin Ge, Han Hu, Jianjiang Feng and Jie Zhou
In TIP, 2016 [url]
Pose from Flow and Flow from Pose
Katerina Fragkiadaki, Han Hu and Jianbo Shi
In CVPR, 2013 [PDF] Oral
Multi-way Constrained Spectral Clustering via Nonnegative Restriction
Han Hu, Jiahuan Zhou, Jianjiang Feng and Jie Zhou
In ICPR, 2012 [PDF] Oral
Video Stabilization and Completion Using Two Cameras
Jie Zhou, Han Hu and Dingrui Wan
In TCSVT, 2011 [PDF]
HTF: A Novel Feature for General Crack Detection
Han Hu, Quanquan Gu and Jie Zhou
In ICIP, 2010 [PDF] Oral
Trajectory Matching from Unsynchronized Videos
Han Hu and Jie Zhou
In CVPR, 2010 [PDF]
Multiframe Motion Segmentation via Penalized MAP Estimation and Linear Programming
Han Hu, Quanquan Gu, Lei Deng and Jie Zhou
In BMVC, 2009 [PDF] Oral