Kai Han

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Kwan-Yee Kenneth WongAssociate Professor of Computer Science, The University of Hong KongVerified email at cs.hku.hk
Andrew ZissermanUniversity of OxfordVerified email at robots.ox.ac.uk
Andrea VedaldiUniversity of OxfordVerified email at robots.ox.ac.uk
Sagar VazeMistral AI / VGG, University of OxfordVerified email at mistral.ai
Guanying ChenAssociate Professor, Sun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Yukang CaoResearch Fellow, Nanyang Technological UniversityVerified email at ntu.edu.sg
Sylvestre-Alvise RebuffiGoogle DeepMindVerified email at deepmind.com
Sébastien EhrhardtUniversity of OxfordVerified email at robots.ox.ac.uk
Victor Adrian PrisacariuAssociate Professor, University of OxfordVerified email at robots.ox.ac.uk
Xinghui LiUniversity of OxfordVerified email at robots.ox.ac.uk
Shuda LiUniversity of OxfordVerified email at robots.ox.ac.uk
Shaozhe HaoUniversity of Hong KongVerified email at cs.hku.hk
Jonathan RobertsUniversity of CambridgeVerified email at cam.ac.uk
Bingchen ZhaoUniversity of EdinburghVerified email at ed.ac.uk
Jie LiThe University of Hong KongVerified email at hku.hk
Yasuyuki MatsushitaMicrosoft Research Asia TokyoVerified email at microsoft.com
Boxin ShiPeking UniversityVerified email at pku.edu.cn
Jean PonceEcole Normale Superieure/PSL Research UniversityVerified email at ens.fr
Minsu ChoAssociate Professor of CSE & AI, POSTECHVerified email at postech.ac.kr
Miaomiao LiuAustralian National UniversityVerified email at anu.edu.au

Kai Han

Other names韩锴

The University of Hong Kong

Verified email at hku.hk - Homepage

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Open-Set Recognition: A Good Closed-Set Classifier is All You Need? S Vaze, K Han, A Vedaldi, A Zisserman ICLR 2022, 2022	440	2022
Learning to Discover Novel Visual Categories via Deep Transfer Clustering K Han, A Vedaldi, A Zisserman ICCV 2019, 2019	350	2019
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification P Wang, K Han, XS Wei, L Zhang, L Wang CVPR 2021, 2021	300	2021
Generalized Category Discovery S Vaze, K Han, A Vedaldi, A Zisserman CVPR 2022, 2022	231	2022
Automatically Discovering and Learning New Visual Categories with Ranking Statistics K Han, SA Rebuffi, S Ehrhardt, A Vedaldi, A Zisserman ICLR 2020, 2020	226	2020
Dual-Resolution Correspondence Networks X Li, K Han, S Li, VA Prisacariu NeurIPS 2020, 2020	177	2020
PS-FCN: A Flexible Learning Framework for Photometric Stereo G Chen, K Han, KYK Wong ECCV 2018, 2018	172	2018
Scnet: Learning semantic correspondence K Han, RS Rezende, B Ham, KYK Wong, M Cho, C Schmid, J Ponce ICCV 2017, 1831-1840, 2017	170	2017
Self-calibrating Deep Photometric Stereo Networks G Chen, K Han, B Shi, Y Matsushita, KYK Wong CVPR 2019, 8739-8747, 2019	162	2019
AutoNovel: Automatically Discovering and Learning Novel Visual Categories K Han, SA Rebuffi, S Ehrhardt, A Vedaldi, A Zisserman TPAMI, 2021	136	2021
Anisotropic Convolutional Networks for 3D Semantic Scene Completion J Li, K Han, P Wang, Y Liu, X Yuan CVPR 2020, 2020	130	2020
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation B Zhao, K Han NeurIPS 2021, 2021	111	2021
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models Y Cao, YP Cao, K Han, Y Shan, KYK Wong CVPR 2024, 2024	108	2024
TOM-Net: Learning Transparent Object Matting from a Single Image G Chen, K Han, KYK Wong CVPR 2018, 9233-9241, 2018	94	2018
Correspondence Networks with Adaptive Neighbourhood Consensus S Li, K Han, TW Costain, H Howard-Jenkins, V Prisacariu CVPR 2020, 2020	91	2020
Deep Photometric Stereo for Non-Lambertian Surfaces G Chen, K Han, B Shi, Y Matsushita, KYK Wong TPAMI, 2020	90	2020
Unsupervised Image Matching and Object Discovery as Optimization HV Vo, F Bach, M Cho, K Han, Y LeCun, P Pérez, J Ponce CVPR 2019, 8287-8296, 2019	78	2019
Joint Representation Learning and Novel Category Discovery on Single-and Multi-modal Data X Jia, K Han, Y Zhu, B Green ICCV 2021, 2021	72	2021
Semi-Supervised Learning with Scarce Annotations SA Rebuffi, S Ehrhardt, K Han, A Vedaldi, A Zisserman CVPR Deep Vision Workshop, 2020	58	2020
GPT4GEO: How a Language Model Sees the World's Geography J Roberts, T Lüddecke, S Das, K Han, S Albanie arXiv preprint arXiv:2306.00020, 2023	56	2023

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