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Kai Han韩 锴 Postdoctoral Researcher |
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.
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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.) |
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Kai Han, Andrea Vedaldi, Andrew Zisserman Learning to Discover Novel Visual Categories via Deep Transfer Clustering International Conference on Computer Vision (ICCV), 2019. PDF | arXiv | project page | code | supplementary |
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Guanying Chen*, Kai Han*, Kwan-Yee K. Wong Learning Transparent Object Matting International Journal of Computer Vision (IJCV), 2019. (* indicates equal contribution.) PDF | arXiv | DOI | project page | code | supplementary |
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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 |
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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 | code |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |