Publications by year

2021

Xuhui Jia, Kai Han, Yukun Zhu, Bradley Green
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data
International Conference on Computer Vision (ICCV), 2021.
BibTeX  |   PDF  |   arXiv  
@inproceedings{jia21joint,
 author    = {Xuhui Jia and Kai Han and Yukun Zhu and Bradley Green},
 title     = {Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data},
 booktitle = {International Conference on Computer Vision (ICCV)},
 year      = {2021}
}
Sylvestre-Alvise Rebuffi*, Sebastien Ehrhardt*, Kai Han*, Andrea Vedaldi, Andrew Zisserman
LSD-C: Linearly Separable Deep Clusters
ICCV Workshop on Visual Inductive Priors for Data-Efficient Deep Learning, 2021. (* indicates equal contribution.)
BibTeX  |   PDF  |   arXiv  |   code
@inproceedings{rebuffi21lsdc,
 author    = {Sylvestre-Alvise Rebuffi and Sebastien Ehrhardt and Kai Han and Andrea Vedaldi and Andrew Zisserman},
 title     = {LSD-C: Linearly Separable Deep Clusters},
 booktitle = {ICCV Workshop on Visual Inductive Priors for Data-Efficient Deep Learning},
 year      = {2021}
}
Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
BibTeX  |   PDF  |   arXiv  |   project page  
@inproceedings{wang21contrastive,
 author		= {Peng Wang and Kai Han and Xiu-Shen Wei and Lei Zhang and Lei Wang},
 title   	= {Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification},
 booktitle	= {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year    	= {2021},
}
Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
BibTeX  |   PDF  |   arXiv  |   DOI  |   project page  |   code
@article{han21autonovel,
 author  = {Kai Han and Sylvestre-Alvise Rebuffi and Sebastien Ehrhardt and Andrea Vedaldi and Andrew Zisserman},
 title   = {AutoNovel: Automatically Discovering and Learning Novel Visual Categories},
 journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
 year    = {2021},
}
Jie Li, Peng Wang, Kai Han, Yu Liu
Anisotropic Convolutional Neural Networks for RGB-D based Semantic Scene Completion
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
BibTeX  |   PDF  |   arXiv  |   DOI  |   project page  |   code
@article{li21anisotropic,
 author  = {Jie Li and Peng Wang and Kai Han and Yu Liu},
 title   = {Anisotropic Convolutional Neural Networks for RGB-D based Semantic Scene Completion},
 journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
 year    = {2021},
}
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   |   PDF  |   arXiv  |   DOI  |   supplementary  |   project page  |   code
@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}
}

2020

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},
}
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}
}
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}
}

2019

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}
}
Huy V. Vo, Francis Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick PĂ©rez, 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
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}
}

2018

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
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}
}
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  |   arXiv  |   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}
}

2017

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}
}

2016

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  |   project page  |   poster  |   code
@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}
}

2015

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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