Publications by topic

Image-level semantic understanding

Bingchen Zhao, Kai Han
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
Conference on Neural Information Processing Systems (NeurIPS), 2021.
BibTeX  |   PDF  |   arXiv  
@inproceedings{zhao21novel,
 author     = {Bingchen Zhao and Kai Han},
 title      = {Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation},
 booktitle  = {Conference on Neural Information Processing Systems (NeurIPS)},
 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},
}
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},
}
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}
}
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}
}

Pixel-level semantic understanding

Georgi Tinchev, Shuda Li, Kai Han, David Mitchell, Rigas Kouskouridas
XResolution Correspondence Networks
British Machine Vision Conference (BMVC), 2021.
BibTeX  |   PDF  |   arXiv  |   project page  |   code
@inproceedings{tinchev20xresolution,
 author    = {Georgi Tinchev and Shuda Li and Kai Han and David Mitchell and Rigas Kouskouridas},
 title     = {XResolution Correspondence Networks},
 booktitle = {British Machine Vision Conference (BMVC)},
 year      = {2021}
}
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},
}
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},
}
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}
}
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, 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}
}

3D visual understanding: learning perspective

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},
}
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}
}
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},
}
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}
}

3D visual understanding: geometry perspective

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}
}
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}
}
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}
}
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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