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 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 under the advisement of 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.

Research Interests

My interests are centered around Computer Vision.

Recent Publications

	Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman Semi-Supervised Learning with Scarce Annotations* ArXiv e-prints, 2019. (* indicates equal contribution.) arXiv
	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. PDF \| arXiv
	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 PDF \| arXiv \| project page \| code \| supplementary
	Guanying Chen, Kai Han, Kwan-Yee K. Wong PS-FCN: A Flexible Learning Framework for Photometric Stereo European Conference on Computer Vision (ECCV), 2018. PDF \| arXiv \| project page \| code \| video \| poster
	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 PDF \| arXiv \| project page \| code \| video \| poster
	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. PDF \| DOI
	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. PDF \| arXiv \| HAL \| project page \| code \| poster
	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. PDF \| poster
	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. PDF \| poster
	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. PDF \| poster

PhD Dissertation

Single view reconstruction of transparent, mirror and diffuse surfaces

PDF

HKU Theses Online

Awards and Honors

Outstanding Reviewer, CVPR 2018

Professional Services

Conference Reviewer: CVPR2018, CVPR2019, ICCV2019
Journal Reviewer: IEEE TMM

Teaching

[2017/18 1st semester]: COMP2396 Object-oriented Programming and Java ~ Teaching Assistant, HKU
[2016/17 2nd semester]: COMP3317 Computer Vision ~ Teaching Assistant, HKU
[2015/16 1st semester]: COMP3317 Computer Vision ~ Teaching Assistant, HKU
[2014/15 1st semester]: COMP3317 Computer Vision ~ Teaching Assistant, HKU

	Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman Semi-Supervised Learning with Scarce Annotations* ArXiv e-prints, 2019. (* indicates equal contribution.) arXiv
	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. PDF \| arXiv
	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 PDF \| arXiv \| project page \| code \| supplementary
	Guanying Chen, Kai Han, Kwan-Yee K. Wong PS-FCN: A Flexible Learning Framework for Photometric Stereo European Conference on Computer Vision (ECCV), 2018. PDF \| arXiv \| project page \| code \| video \| poster
	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 PDF \| arXiv \| project page \| code \| video \| poster
	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. PDF \| DOI
	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. PDF \| arXiv \| HAL \| project page \| code \| poster
	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. PDF \| poster
	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. PDF \| poster
	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. PDF \| poster