Kai Han

韩 锴

Postdoctoral Researcher
Visual Geometry Group (VGG)
Department of Engineering Science
University of Oxford
Email: khan at robots.ox.ac.uk
Office: Rm 30.14, Information Engineering Building, Parks Road, Oxford, OX1 3PJ, United Kingdom

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I am a Postdoc in the Department of Engineering Science at the University of Oxford, working with Prof. Andrew Zisserman and Prof. Andrea Vedaldi. I received my Ph.D. degree in Department of Computer Science at The University of Hong Kong advised by Prof. Kenneth K.Y. Wong in 2018. I was a Research Intern at the WILLOW group (INRIA / École Normale Supérieure, Paris, France) working with Prof. Jean Ponce and Prof. Minsu Cho in 2016. Previously, I received my M.Eng. from Harbin Institute of Technology in 2014 and B.Eng. from Harbin Engineering University in 2011.

My interests are centered around Computer Vision and Deep Learning. My current research is mainly focused on novel category discovery, semi-supervised learning, semantic matching, 3D reconstruction, image matting, photometric stereo, etc.

News

Jun 2020One paper is accepted to TPAMI.
Feb 2020Two papers are accepted to CVPR 2020.
Dec 2019One paper is accepted to ICLR 2020.

Publications

Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong
Deep Photometric Stereo for Non-Lambertian Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
BibTeX  |   PDF  |   arXiv  |   DOI  |   supplementary  |   project page  |   code
@article{chen20deepps,
 title   = {Deep Photometric Stereo for Non-Lambertian Surfaces},
 author  = {Guanying Chen and Kai Han and Boxin Shi and Yasuyuki Matsushita and Kwan-Yee K. Wong},
 journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
 year    = {2020}
}
Kai Han*, Sylvestre-Alvise Rebuffi*, Sebastien Ehrhardt*, Andrea Vedaldi, Andrew Zisserman
Automatically Discovering and Learning New Visual Categories with Ranking Statistics
International Conference on Learning Representations (ICLR), 2020. (* indicates equal contribution.)
BibTeX  |   PDF  |   arXiv  |   OpenReview  |   video  |   project page  |   code
@inproceedings{han20automatically,
 author    = {Kai Han and Sylvestre-Alvise Rebuffi and Sebastien Ehrhardt and Andrea Vedaldi and Andrew Zisserman},
 title     = {Automatically Discovering and Learning New Visual Categories with Ranking Statistics},
 booktitle = {International Conference on Learning Representations (ICLR)},
 year      = {2020},
}
Shuda Li*, Kai Han*, Theo W. Costain, Henry Howard-Jenkins, Victor Prisacariu
Correspondence Networks with Adaptive Neighbourhood Consensus
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (* indicates equal contribution.)
BibTeX  |   PDF  |   arXiv  |   project page  |   code
@inproceedings{li20correspondence,
 author    = {Shuda Li and Kai Han and Theo W. Costain and Henry Howard-Jenkins and Victor Prisacariu},
 title     = {Correspondence Networks with Adaptive Neighbourhood Consensus},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year      = {2020},
}
Jie Li, Kai Han, Peng Wang, Yu Liu, Xia Yuan
Anisotropic Convolutional Networks for 3D Semantic Scene Completion
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
BibTeX  |   PDF  |   arXiv  |   project page  |   code
@inproceedings{li20anisotropic,
 author    = {Jie Li and Kai Han and Peng Wang and Yu Liu and Xia Yuan},
 title     = {Anisotropic Convolutional Networks for 3D Semantic Scene Completion},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year      = {2020},
}
Sylvestre-Alvise Rebuffi*, Sebastien Ehrhardt*, Kai Han*, Andrea Vedaldi, Andrew Zisserman
Semi-Supervised Learning with Scarce Annotations
CVPR Deep Vision Workshop, 2020. (* indicates equal contribution.)
BibTeX  |   PDF  |   arXiv  |   project page  |   code
@inproceedings{rebuffi20SSL,
 title={Semi-Supervised Learning with Scarce Annotations},
 author={Sylvestre-Alvise Rebuffi and Sebastien Ehrhardt and Kai Han and  Andrea Vedaldi and Andrew Zisserman},
 booktitle={CVPR Deep Vision Workshop},
 year={2020}
}
Kai Han, Andrea Vedaldi, Andrew Zisserman
Learning to Discover Novel Visual Categories via Deep Transfer Clustering
International Conference on Computer Vision (ICCV), 2019.
BibTeX  |   PDF  |   arXiv  |   supplementary  |   project page  |   code
@inproceedings{han19DTC,
 author    = {Kai Han and Andrea Vedaldi and Andrew Zisserman},
 title     = {Learning to Discover Novel Visual Categories via Deep Transfer Clustering},
 booktitle = {International Conference on Computer Vision (ICCV)},
 year      = {2019}
}
Guanying Chen*, Kai Han*, Kwan-Yee K. Wong
Learning Transparent Object Matting
International Journal of Computer Vision (IJCV), 2019. (* indicates equal contribution.)
BibTeX  |   PDF  |   arXiv  |   DOI  |   supplementary  |   project page  |   code
@article{chen19LTOM,
 title   = {Learning Transparent Object Matting},
 author  = {Guanying Chen and Kai Han and Kwan-Yee K. Wong},
 journal = {International Journal of Computer Vision (IJCV)},
 year    = {2019}
}
Huy V. Vo, Francis Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce
Unsupervised Image Matching and Object Discovery as Optimization
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
BibTeX  |   PDF  |   arXiv  |   code
@inproceedings{vo19unsup,
 title     = {Unsupervised Image Matching and Object Discovery as Optimization},
 author    = {Huy V. Vo and Francis Bach and Minsu Cho and Kai Han and Yann LeCun and Patrick P\'{e}rez and Jean Ponce},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year      = {2019}
}
Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong
Self-calibrating Deep Photometric Stereo Networks
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Oral presentation
BibTeX  |   PDF  |   arXiv  |   supplementary  |   video  |   poster  |   project page  |   code
@inproceedings{chen19SDPS_Net,
 title     = {Self-calibrating Deep Photometric Stereo Networks},
 author    = {Guanying Chen and Kai Han and Boxin Shi and Yasuyuki Matsushita and Kwan-Yee K. Wong},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year      = {2019}
}
Guanying Chen, Kai Han, Kwan-Yee K. Wong
PS-FCN: A Flexible Learning Framework for Photometric Stereo
European Conference on Computer Vision (ECCV), 2018.
BibTeX  |   PDF  |   arXiv  |   video  |   poster  |   project page  |   code
@inproceedings{chen18ps_fcn,
 title     = {PS-FCN: A Flexible Learning Framework for Photometric Stereo},
 author    = {Guanying Chen and Kai Han and Kwan-Yee K. Wong},
 booktitle = {European Conference on Computer Vision (ECCV)},
 year      = {2018}
}
Guanying Chen*, Kai Han*, Kwan-Yee K. Wong
TOM-Net: Learning Transparent Object Matting from a Single Image
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (* indicates equal contribution.)
Spotlight presentation
BibTeX  |   PDF  |   arXiv  |   video  |   poster  |   project page  |   code
@inproceedings{chen18tom_net,
 title     = {TOM-Net: Learning Transparent Object Matting from a Single Image},
 author    = {Guanying Chen and Kai Han and Kwan-Yee K. Wong},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year      = {2018}
}
Kai Han, Kwan-Yee K. Wong, Miaomiao Liu
Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction
International Journal of Computer Vision (IJCV), 2018.
BibTeX  |   PDF  |   DOI
@article{han18dense,
 title   = {Dense Reconstruction of Transparent Objects by Altering Incident Light Paths through Refraction},
 author  = {Kai Han and Kwan-Yee K. Wong and Miaomiao Liu},
 journal = {International Journal of Computer Vision (IJCV)},
 year    = {2018}
}
Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce
SCNet: Learning Semantic Correspondence
International Conference on Computer Vision (ICCV), 2017.
BibTeX  |   PDF  |   arXiv  |   HAL  |   poster  |   project page  |   code
@inproceedings{han17scnet,
 title     = {SCNet: Learning Semantic Correspondence},
 author    = {Kai Han and Rafael S. Rezende and Bumsub Ham and Kwan-Yee K. Wong and Minsu Cho and Cordelia Schmid and Jean Ponce},
 booktitle = {International Conference on Computer Vision (ICCV)},
 year      = {2017}
}
Kai Han, Kwan-Yee K. Wong, Xiao Tan
Single View 3D Reconstruction under an Uncalibrated Camera and an Unknown Mirror Sphere
International Conference on 3D Vision (3DV), 2016.
BibTeX  |   PDF  |   poster
@inproceedings{han16single,
 author    = {Kai Han and Kwan-Yee K. Wong and Xiao Tan},
 title     = {Single View 3D Reconstruction under an Uncalibrated Camera and an Unknown Mirror Sphere},
 booktitle = {International Conference on 3D Vision (3DV)},
 year      = {2016}
}
Kai Han, Kwan-Yee K. Wong, Dirk Schnieders, Miaomiao Liu
Mirror Surface Reconstruction Under an Uncalibrated Camera
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
BibTeX  |   PDF  |   poster
@inproceedings{han16mirror,
 author    = {Kai Han and Kwan-Yee K. Wong and Dirk Schnieders and Miaomiao Liu},
 title     = {Mirror Surface Reconstruction under an Uncalibrated Camera},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year      = {2016}
}
Kai Han, Kwan-Yee K. Wong, Miaomiao Liu
A Fixed Viewpoint Approach for Dense Reconstruction of Transparent Objects
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
BibTeX  |   PDF  |   poster
@inproceedings{han15afixed,
 author    = {Kai Han and Kwan-Yee K. Wong and Miaomiao Liu},
 title     = {A Fixed Viewpoint Approach for Dense Reconstruction of Transparent Objects},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year      = {2015}
}

Preprints

Sylvestre-Alvise Rebuffi*, Sebastien Ehrhardt*, Kai Han*, Andrea Vedaldi, Andrew Zisserman
LSD-C: Linearly Separable Deep Clusters
arXiv preprint, 2020. (* indicates equal contribution.)
BibTeX  |   PDF  |   arXiv  |   code
@article{rebuffi20lsdc,
 author  = {Sylvestre-Alvise Rebuffi and Sebastien Ehrhardt and Kai Han and Andrea Vedaldi and Andrew Zisserman},
 title   = {LSD-C: Linearly Separable Deep Clusters},
 journal = {arXiv preprint arXiv:2006.10039},
 year    = {2020}
}
Xinghui Li, Kai Han, Shuda Li, Victor Prisacariu
Dual-Resolution Correspondence Networks
arXiv preprint, 2020.
BibTeX  |   PDF  |   arXiv  |   project page
@article{li20dualrc,
 author  = {Xinghui Li and Kai Han and Shuda Li and Victor Prisacariu},
 title   = {Dual-Resolution Correspondence Networks},
 journal = {arXiv preprint arXiv:2006.08844},
 year    = {2020},
}
Yuda Qiu*, Zhangyang Xiong*, Kai Han, Zhongyuan Wang, Zixiang Xiong, Xiaoguang Han
Learning Inverse Rendering of Faces from Real-world Videos
arXiv preprint, 2020. (* indicates equal contribution.)
BibTeX  |   PDF  |   arXiv  |   code
@article{qiu20learning,
 author  = {Yuda Qiu and Zhangyang Xiong and Kai Han and Zhongyuan Wang and Zixiang Xiong and Xiaoguang Han},
 title   = {Learning Inverse Rendering of Faces from Real-world Videos},
 journal = {arXiv preprint arXiv:2003.12047},
 year    = {2020},
}

PhD Dissertation

Kai Han
Single view reconstruction of transparent, mirror and diffuse surfaces
The University of Hong Kong, Pokfulam, Hong Kong, 2018.
BibTeX  |   PDF  |   HKU Theses Online
@phdthesis{han18phd,
 author = {Kai Han},
 title  = {Single view reconstruction of transparent, mirror and diffuse surfaces},
 school = {Department of Computer Science, The University of Hong Kong},
 year   = {2018}
}

Awards and Honors

Professional Activities

Teaching

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