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Kai Han韩 锴 Assistant Professor
kai.han at bristol.ac.uk / khan at robots.ox.ac.uk |
I am a Lecturer (Assistant Professor) in Computer Vision at University of Bristol. Before joining Bristol, I was a Postdoctoral Researcher in the great Visual Geometry Group (VGG) at the University of Oxford working with Prof. Andrew Zisserman and Prof. Andrea Vedaldi, from 2018 to 2020. Prior to that, 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. During my Ph.D., I was lucky to work with Prof. Jean Ponce and Prof. Minsu Cho at the WILLOW team of Inria Paris and École Normale Supérieure (ENS) in 2016.
My interests are centered around Computer Vision and Deep Learning, spanning topics like novel category discovery, semi-supervised learning, visual correspondence, 3D reconstruction, image matting, photometric stereo, etc. The broad goal of my research is to achieve principled and comprehensive visual understanding for real applications of artificial intelligent systems.
Looking for strong PhD students to work on exciting computer vision research problems. Please drop me an email if you are interested in working with me.
Dec 2020 | One paper about mirror surface reconstruction is accepted to TIP. |
Sept 2020 | One paper about dense correspondence is accepted to NeurIPS 2020. |
Jun 2020 | One paper about deep photometric stereo is accepted to TPAMI. |
Feb 2020 | Two papers (about semantic correspondence / 3D semantic scene completion) are accepted to CVPR 2020. |
Dec 2019 | One paper about novel category discovery is accepted to ICLR 2020. |
Jul 2019 | One paper about novel category discovery is accepted to ICCV 2019. |
Jul 2019 | One paper about transparent object matting is accepted to IJCV. |
Mar 2019 | Two papers (about unsupervised object discovery and matching / uncalibrated photometric stereo) are accepted to CVPR 2019. |
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Xinghui Li, Kai Han, Shuda Li, Victor Prisacariu Dual-Resolution Correspondence Networks Conference on Neural Information Processing Systems (NeurIPS), 2020. BibTeX | PDF | arXiv | supplementary | project page | code @inproceedings{li20dualrc, author = {Xinghui Li and Kai Han and Shuda Li and Victor Prisacariu}, title = {Dual-Resolution Correspondence Networks}, booktitle = {Conference on Neural Information Processing Systems (NeurIPS)}, year = {2020}, } |
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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.) 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}, } |
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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}, } |
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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}, } |
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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} } |
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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. 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} } |
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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. 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} } |
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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 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} } |
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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. 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} } |
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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 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} } |
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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. 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} } |
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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. 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} } |
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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. 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} } |
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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. 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} } |
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Kai Han, Miaomiao Liu, Dirk Schnieders, Kwan-Yee K. Wong Fixed Viewpoint Mirror Surface Reconstruction under an Uncalibrated Camera IEEE Transactions on Image Processing (TIP), 2021. BibTeX @article{han21fixed, title = {Fixed Viewpoint Mirror Surface Reconstruction under an Uncalibrated Camera}, author = {Kai Han and Miaomiao Liu and Dirk Schnieders and Kwan-Yee K. Wong}, journal = {IEEE Transactions on Image Processing (TIP)}, year = {2021} } |
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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} } |
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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.) 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} } |
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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. 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} } |
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Georgi Tinchev, Shuda Li, Kai Han, David Mitchell, Rigas Kouskouridas XResolution Correspondence Networks arXiv preprint, 2020. BibTeX | PDF | arXiv | project page @article{tinchev20xresolution, author = {Georgi Tinchev and Shuda Li and Kai Han and David Mitchell and Rigas Kouskouridas}, title = {XResolution Correspondence Networks}, journal = {arXiv preprint arXiv:2012.09842}, year = {2020} } |
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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} } |
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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}, } |
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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} } |
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