Kai Han

韩 锴

Assistant Professor
Department of Statistics and Actuarial Science
The University of Hong Kong

    Pokfulam Road, Hong Kong
    Room 220, Run Run Shaw Building
    kaihanx at hku.hk

Research Group  |   Google Scholar  |   ORCID  |   DBLP  |   arXiv  |   Twitter

I am an Assistant Professor in Department of Statistics and Actuarial Science at The University of Hong Kong, where I direct the Visual AI Lab. My research interests lie in computer vision, machine learning, and artificial intelligence. My current research focuses on open-world learning, 3D vision, generative AI, foundation models and their relevant fields. The overarching goal of my research is to achieve principled and comprehensive visual understanding, close the intelligence gap between machines and humans, and build reliable AI systems for open-world use. Previously, I was a Visiting Faculty Researcher at Google Research, an Assistant Professor in Department of Computer Science at University of Bristol, and a Postdoctoral Researcher in the great Visual Geometry Group (VGG) 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 advised by Prof. Kenneth K.Y. Wong. 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).

🚩Openings:
(1) PhD students to work on exciting research problems (always looking for strong candidates ☞ Scholarships; HKU-BICI; HKU-ASTRI).
(2) Postdoc positions with a competitive salary.
(3) HKU Summer Research Programme 2024 (deadline: Jan 26, 2024 ☞ details), with the possiblity of conditional PhD offer of 2025 intake.
Please drop me an email with your resume if you are interested in working with me.

News

Jan 2024 Two papers (on generalized category discovery/open-vocabulary action recognition) are accepted to ICLR 2024.
Oct 2023 Invited to serve as an Area Chair for ECCV 2024.
Sept 2023 One paper on text-guided 3D head avatar generation and editing is accepted to NeurIPS 2023.
Aug 2023 One paper on visual correspondence is accepted to TPAMI.
July 2023 Two papers (on generalized category discovery/open-vocabulary semantic segmentation) are accepted to ICCV 2023.
June 2023 Invited to serve as an Area Chair for CVPR 2024.
Mar 2023 OOD-CV workshop @ ICCV 2023. Welcome participants from all over!
Feb 2023 Two papers (on compositional zero-shot learning/3D human digitization) are accepted to CVPR 2023.
Jul 2022 One paper on novel category discovery without forgetting is accepted to ECCV 2022.
Jun 2022 Best Paper Runner-Up Award at CVPR 2022 Workshop on Continual Learning in Computer Vision.
Mar 2022 Three papers (about generalized category discovery/3D human digitization/instance segmentation) are accepted to CVPR 2022.
Jan 2022 One paper about open-set recognition is accepted to ICLR 2022.
Oct 2021 One paper about visual correspondence is accepted to BMVC 2021.
Sept 2021 One paper about novel category discovery is accepted to NeurIPS 2021.
Sept 2021 Recognized as an Outstanding Reviewer for ICCV 2021, in the top 5% of experienced reviewers.
July 2021 One paper about single- and multi-modal novel category discovery is accepted to ICCV 2021.
June 2021 Our AutoNovel paper is accepted to TPAMI.
June 2021 Recognized as an Outstanding Reviewer for CVPR 2021.
May 2021 One paper about dynamic convolution for semantic scene completion is accepted to TPAMI.
Mar 2021 One paper about long-tailed recognition is accepted to CVPR 2021.
Dec 2020 One paper about mirror surface reconstruction is accepted to IEEE 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.
June 2020 Recognized as an Outstanding Reviewer for CVPR 2020.
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.

Publications

2023

Xiao Han*, Yukang Cao*, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, Kwan-Yee K. Wong
HeadSculpt: Crafting 3D Head Avatars with Text
Conference on Neural Information Processing Systems (NeurIPS), 2023.
BibTeX  |   PDF  |   arXiv   |   project page   |   code
@inproceedings{han2023headsculpt,
 author    = {Xiao Han and Yukang Cao and Kai Han and Xiatian Zhu and Jiankang Deng and Yi-Zhe Song and Tao Xiang and Kwan-Yee K. Wong},
 title     = {HeadSculpt: Crafting 3D Head Avatars with Text},
 booktitle  = {Conference on Neural Information Processing Systems (NeurIPS)},
 year      = {2023},
}
Xinghui Li, Kai Han, Shuda Li, Victor Prisacariu
DualRC: A Dual-Resolution Learning Framework with Neighbourhood Consensus for Visual Correspondences
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
BibTeX  |   DOI  |   project page  |   code
@article{li23dualrc,
 author  = {Xinghui Li and Kai Han and Shuda Li and Victor Prisacariu},
 title   = {DualRC: A Dual-Resolution Learning Framework with Neighbourhood Consensus for Visual Correspondences},
 journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
 year    = {2023},
}
Bingchen Zhao, Xin Wen, Kai Han
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery
International Conference on Computer Vision (ICCV), 2023.
BibTeX  |   PDF  |   arXiv
@inproceedings{zhao23learning,
 author    = {Bingchen Zhao and Xin Wen and Kai Han},
 title     = {Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery},
 booktitle = {International Conference on Computer Vision (ICCV)},
 year      = {2023},
}
Cong Han*, Yujie Zhong*, Dengjie Li, Kai Han, Lin Ma
Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network
International Conference on Computer Vision (ICCV), 2023.
BibTeX  |   PDF  |   arXiv   |   code
@inproceedings{han23open,
 author    = {Cong Han and Yujie Zhong and Dengjie Li and Kai Han and Lin Ma},
 title     = {Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network},
 booktitle = {International Conference on Computer Vision (ICCV)},
 year      = {2023},
}
Shaozhe Hao, Kai Han, Kwan-Yee K. Wong
Learning Attention as Disentangler for Compositional Zero-shot Learning
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
BibTeX  |   PDF  |   arXiv  |   project page  |   code
@inproceedings{hao2023ade,
 author    = {Shaozhe Hao and Kai Han and Kwan-Yee K. Wong},
 title     = {Learning Attention as Disentangler for Compositional Zero-shot Learning},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year      = {2023},
}
Yukang Cao, Kai Han, Kwan-Yee K. Wong
SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
BibTeX  |   PDF  |   arXiv  |   project page
@inproceedings{cao2023sesdf,
author    = {Yukang Cao and Kai Han and Kwan-Yee K. Wong},
title     = {SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year      = {2023},
}

2022

K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N Balasubramanian
Novel Class Discovery without Forgetting
European Conference on Computer Vision (ECCV), 2022.
BibTeX  |   PDF  |   arXiv
@inproceedings{joseph22ncdwf,
 author    = {K J Joseph and Sujoy Paul and Gaurav Aggarwal and Soma Biswas and Piyush Rai and Kai Han and Vineeth N Balasubramanian},
 title     = {Novel Class Discovery without Forgetting},
 booktitle = {European Conference on Computer Vision (ECCV)},
 year      = {2022},
}
Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
Generalized Category Discovery
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
BibTeX  |   PDF  |   arXiv  |   project page  |   code
@inproceedings{vaze22generalized,
 author    = {Sagar Vaze and Kai Han and Andrea Vedaldi and Andrew Zisserman},
 title     = {Generalized Category Discovery},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year      = {2022},
}
Yukang Cao, Guanying Chen, Kai Han, Wenqi Yang, Kwan-Yee K. Wong
JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Oral presentation
BibTeX  |   PDF  |   arXiv  |   project page  |   code
@inproceedings{cao22jiff,
 author    = {Yukang Cao and Guanying Chen and Kai Han and Wenqi Yang and Kwan-Yee K. Wong},
 title     = {JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year      = {2022},
}
Chenming Zhu, Xuanye Zhang, Yanran Li, Liangdong Qiu, Kai Han, Xiaoguang Han
SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
BibTeX  |   PDF  |   arXiv  |   project page
@inproceedings{zhu22sharpcontour,
 author    = {Chenming Zhu and Xuanye Zhang and Yanran Li and Liangdong Qiu and Kai Han and Xiaoguang Han},
 title     = {SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year      = {2022},
}
K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N Balasubramanian
Spacing Loss for Discovering Novel Categories
CVPR Workshop on Continual Learning in Computer Vision, 2022.
Best Paper Runner-Up Award
BibTeX  |   PDF  |   arXiv
@inproceedings{joseph22spacing,
 author    = {K J Joseph and Sujoy Paul and Gaurav Aggarwal and Soma Biswas and Piyush Rai and Kai Han and Vineeth N Balasubramanian},
 title     = {Spacing Loss for Discovering Novel Categories},
 booktitle = {CVPR Workshop on Continual Learning in Computer Vision},
 year      = {2022},
}
Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
Open-Set Recognition: A Good Closed-Set Classifier is All You Need?
International Conference on Learning Representations (ICLR), 2022.
Oral presentation
BibTeX  |   PDF  |   arXiv  |   OpenReview  |   project page  |   code
@inproceedings{vaze22openset,
 author    = {Sagar Vaze and Kai Han and Andrea Vedaldi and Andrew Zisserman},
 title     = {Open-Set Recognition: A Good Closed-Set Classifier is All You Need?},
 booktitle = {International Conference on Learning Representations (ICLR)},
 year      = {2022},
}

2021

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  |   OpenReview  |   supplementary  |   project page  |   code
@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}
}
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     = {{$\mathbb{X}$}Resolution Correspondence Networks},
 booktitle = {British Machine Vision Conference (BMVC)},
 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  
@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 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}
}
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, 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}
}

Preprints

Shaozhe Hao, Kai Han, Shihao Zhao, Kwan-Yee K. Wong
ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation
arXiv preprint, 2023.
BibTeX  |   PDF  |   arXiv   |   code
@article{hao2023ViCo,
 author    = {Shaozhe Hao and Kai Han and Shihao Zhao and Kwan-Yee K. Wong},
 title     = {ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation},
 journal = {arXiv preprint arXiv:2306.00971},
 year      = {2023},
}
Jonathan Roberts, Timo Lüddecke, Sowmen Das, Kai Han, Samuel Albanie
GPT4GEO: How a Language Model Sees the World's Geography
arXiv preprint, 2023.
BibTeX  |   PDF  |   arXiv
@article{roberts2023gpt4geo,
  title    = {GPT4GEO: How a Language Model Sees the World's Geography},
  author   = {Roberts, Jonathan and L{\"u}ddecke, Timo and Das, Sowmen and Han, Kai and Albanie, Samuel},
  journal  = {arXiv preprint arXiv:2306.00020},
  year     = {2023},
}
Kai Han*, Yandong Li*, Sagar Vaze*, Jie Li, Xuhui Jia
What’s in a Name? Beyond Class Indices for Image Recognition
arXiv preprint, 2023.
BibTeX  |   PDF  |   arXiv
@article{han23scd,
 author    = {Kai Han and Yandong Li and Sagar Vaze and Jie Li and Xuhui Jia},
 title     = {What's in a Name? Beyond Class Indices for Image Recognition},
 journal = {arXiv preprint arXiv:2304.02364},
 year      = {2023},
}
Yukang Cao*, Yan-Pei Cao*, Kai Han, Ying Shan, Kwan-Yee K. Wong
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models
arXiv preprint, 2023.
BibTeX  |   PDF  |   arXiv  |   project page
@article{cao23dream,
 author    = {Yukang Cao and Yan-Pei Cao and Kai Han and Ying Shan and Kwan-Yee K. Wong},
 title     = {DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models},
 journal = {arXiv preprint arXiv:2304.00916},
 year      = {2023},
}
Xinghui Li, Kai Han, Xingchen Wan, Victor Adrian Prisacariu
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning
arXiv preprint, 2023.
BibTeX  |   PDF  |   arXiv
@article{li23SimSC,
  title    = {SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning},
  author   = {Xinghui Li and Kai Han and Xingchen Wan and Victor Adrian Prisacariu},
  journal  = {arXiv preprint arXiv:2305.02385},
  year     = {2023},
}
Jonathan Roberts, Kai Han, Samuel Albanie
SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models
arXiv preprint, 2023.
BibTeX  |   PDF  |   arXiv   |   project page
@article{roberts2023satin,
  title    = {SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models},
  author   = {Jonathan Roberts and Kai Han and Samuel Albanie},
  journal  = {arXiv preprint arXiv:2304.11619},
  year     = {2023},
}
Shaozhe Hao, Kai Han, Kwan-Yee K. Wong
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
arXiv preprint, 2023.
BibTeX  |   PDF  |   arXiv
@article{hao23cipr,
  title    = {CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery},
  author   = {Shaozhe Hao and Kai Han and Kwan-Yee K. Wong},
  journal  = {arXiv preprint arXiv:2304.06928},
  year     = {2023},
}
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},
}

PhD Dissertation

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}
}

Awards and Honors

Professional Activities

Teaching

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