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ORCIDKai Han 0001
韩锴
Person information
- unicode name: 韩锴
- affiliation: University of Hong Kong, HK
- affiliation (former): Google Research, UK
- affiliation (former): University of Bristol, Visual Information Laboratory, UK
- affiliation (former): University of Oxford, Visual Geometry Group, UK
- affiliation (PhD 2018): University of Hong Kong, HK
Other persons with the same name
- Kai Han — disambiguation page
- Kai Han 0002
![[0000-0002-9761-2702]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9761-2702")
— Huawei Technologies, Noah's Ark Lab (and 1 more) - Kai Han 0003 — Soochow University, School of Computer Science and Technology, Suzhou, China (and 4 more)
- Kai Han 0004 — Virginia Technology, ECE Department, Blacksburg, VA, USA
- Kai Han 0005 — Weifang University, China (and 1 more)
- Kai Han 0006 — Jiangsu University, School of Computer Science and Communication Engineering, Zhenjiang, China
- Kai Han 0007 — University of Chinese Academy of Sciences, Beijing, China (and 1 more)
- Kai Han 0008 — Shanghai University, School of Computer Engineering and Science, Artificial Intelligence Institute, China
- Kai Han 0009 — North China University of Technology, School of Computer Science and Technology, Beijing, China
- Kai Han 0010 — Deepwise AI Lab, Beijing, China
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Journal Articles
- 2024
[j9]Xinghui Li, Kai Han, Shuda Li, Victor Prisacariu:
DualRC: A Dual-Resolution Learning Framework With Neighbourhood Consensus for Visual Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 236-249 (2024)- 2022
- [j8]Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong:
Deep Photometric Stereo for Non-Lambertian Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 129-142 (2022) - [j7]Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
AutoNovel: Automatically Discovering and Learning Novel Visual Categories. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6767-6781 (2022) - [j6]Jie Li, Peng Wang, Kai Han, Yu Liu:
Anisotropic Convolutional Neural Networks for RGB-D Based Semantic Scene Completion. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8125-8138 (2022) - 2021
- [j5]Kai Han, Miaomiao Liu, Dirk Schnieders, Kwan-Yee K. Wong:
Fixed Viewpoint Mirror Surface Reconstruction Under an Uncalibrated Camera. IEEE Trans. Image Process. 30: 2141-2154 (2021) - 2020
- [j4]Jie Li, Sheng Zhang, Kai Han, Xia Yuan, Chunxia Zhao, Yu Liu:
Real-time keypoints detection for autonomous recovery of the unmanned ground vehicle. IET Image Process. 14(17): 4690-4700 (2020) - 2019
- [j3]Guanying Chen, Kai Han, Kwan-Yee K. Wong:
Learning Transparent Object Matting. Int. J. Comput. Vis. 127(10): 1527-1544 (2019) - 2018
- [j2]Kai Han, Kwan-Yee K. Wong, Miaomiao Liu:
Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction. Int. J. Comput. Vis. 126(5): 460-475 (2018) - 2015
- [j1]Zili Zhang, Xuan Wang, Kai Han, Zoe Lin Jiang:
A Novel Arc Segmentation Approach for Document Image Processing. Int. J. Pattern Recognit. Artif. Intell. 29(1): 1553001:1-1553001:25 (2015)
Conference and Workshop Papers
- 2023
- [c33]Yukang Cao, Kai Han, Kwan-Yee K. Wong:
SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction. CVPR 2023: 4647-4657 - [c32]Shaozhe Hao, Kai Han, Kwan-Yee K. Wong:
Learning Attention as Disentangler for Compositional Zero-Shot Learning. CVPR 2023: 15315-15324 - [c31]Bingchen Zhao, Xin Wen, Kai Han:
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery. ICCV 2023: 16577-16587 - [c30]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. NeurIPS 2023 - 2022
- [c29]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. CVPR 2022: 2719-2729 - [c28]K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian:
Spacing Loss for Discovering Novel Categories. CVPR Workshops 2022: 3760-3765 - [c27]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. CVPR 2022: 4382-4391 - [c26]Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Generalized Category Discovery. CVPR 2022: 7482-7491 - [c25]K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian:
Novel Class Discovery Without Forgetting. ECCV (24) 2022: 570-586 - [c24]Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Open-Set Recognition: A Good Closed-Set Classifier is All You Need. ICLR 2022 - 2021
- [c23]Georgi Tinchev, Shuda Li, Kai Han, David Mitchell, Rigas Kouskouridas:
X Resolution Correspondence Networks. BMVC 2021: 416 - [c22]Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang:
Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification. CVPR 2021: 943-952 - [c21]Xuhui Jia, Kai Han, Yukun Zhu, Bradley Green:
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data. ICCV 2021: 590-599 - [c20]Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
LSD-C: Linearly Separable Deep Clusters. ICCVW 2021: 1038-1046 - [c19]Bingchen Zhao, Kai Han:
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation. NeurIPS 2021: 22982-22994 - 2020
- [c18]Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Semi-Supervised Learning with Scarce Annotations. CVPR Workshops 2020: 3294-3302 - [c17]Jie Li, Kai Han, Peng Wang, Yu Liu, Xia Yuan:
Anisotropic Convolutional Networks for 3D Semantic Scene Completion. CVPR 2020: 3348-3356 - [c16]Shuda Li, Kai Han, Theo W. Costain, Henry Howard-Jenkins, Victor Prisacariu:
Correspondence Networks With Adaptive Neighbourhood Consensus. CVPR 2020: 10193-10202 - [c15]Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
Automatically Discovering and Learning New Visual Categories with Ranking Statistics. ICLR 2020 - [c14]Xinghui Li, Kai Han, Shuda Li, Victor Prisacariu:
Dual-Resolution Correspondence Networks. NeurIPS 2020 - 2019
- [c13]Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce:
Unsupervised Image Matching and Object Discovery as Optimization. CVPR 2019: 8287-8296 - [c12]Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong:
Self-Calibrating Deep Photometric Stereo Networks. CVPR 2019: 8739-8747 - [c11]Kai Han, Andrea Vedaldi, Andrew Zisserman:
Learning to Discover Novel Visual Categories via Deep Transfer Clustering. ICCV 2019: 8400-8408 - 2018
- [c10]Guanying Chen, Kai Han, Kwan-Yee K. Wong:
TOM-Net: Learning Transparent Object Matting From a Single Image. CVPR 2018: 9233-9241 - [c9]Guanying Chen, Kai Han, Kwan-Yee K. Wong:
PS-FCN: A Flexible Learning Framework for Photometric Stereo. ECCV (9) 2018: 3-19 - 2017
- [c8]Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce:
SCNet: Learning Semantic Correspondence. ICCV 2017: 1849-1858 - 2016
- [c7]Kai Han, Kwan-Yee K. Wong, Xiao Tan:
Single View 3D Reconstruction under an Uncalibrated Camera and an Unknown Mirror Sphere. 3DV 2016: 408-416 - [c6]Kai Han, Kwan-Yee K. Wong, Dirk Schnieders, Miaomiao Liu:
Mirror Surface Reconstruction under an Uncalibrated Camera. CVPR 2016: 1772-1780 - 2015
- [c5]Kai Han, Kwan-Yee Kenneth Wong, Miaomiao Liu:
A fixed viewpoint approach for dense reconstruction of transparent objects. CVPR 2015: 4001-4008 - 2013
- [c4]Lei Zheng, Kai Han:
Extracting Categorical Topics from Tweets Using Topic Model. AIRS 2013: 86-96 - [c3]Kai Han, Xuan Wang, Zili Zhang, Hainan Zhao:
A novel remote eye gaze tracking approach with dynamic calibration. MMSP 2013: 111-116 - [c2]Lei Zheng, Kai Han:
Multi Topic Distribution Model for Topic Discovery in Twitter. ICSC 2013: 420-425 - 2012
- [c1]Kai Han, Xuan Wang, Chenglong Yu:
An efficient visual tracking method based on single CCD camera. ICMLC 2012: 1163-1168
Informal and Other Publications
- 2024
- [i46]Hongjun Wang, Sagar Vaze, Kai Han:
SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning. CoRR abs/2403.13684 (2024) - [i45]Jonathan Roberts, Kai Han, Neil Houlsby, Samuel Albanie:
SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation. CoRR abs/2405.08807 (2024) - [i44]Ruihe Wang, Yukang Cao, Kai Han, Kwan-Yee K. Wong:
A Survey on 3D Human Avatar Modeling - From Reconstruction to Generation. CoRR abs/2406.04253 (2024) - 2023
- [i43]Shaozhe Hao, Kai Han, Kwan-Yee K. Wong:
Learning Attention as Disentangler for Compositional Zero-shot Learning. CoRR abs/2303.15111 (2023) - [i42]Yukang Cao, Kai Han, Kwan-Yee K. Wong:
SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction. CoRR abs/2304.00359 (2023) - [i41]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. CoRR abs/2304.00916 (2023) - [i40]Kai Han, Yandong Li, Sagar Vaze, Jie Li, Xuhui Jia:
What's in a Name? Beyond Class Indices for Image Recognition. CoRR abs/2304.02364 (2023) - [i39]Shaozhe Hao, Kai Han, Kwan-Yee K. Wong:
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery. CoRR abs/2304.06928 (2023) - [i38]Jonathan Roberts, Kai Han, Samuel Albanie:
SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models. CoRR abs/2304.11619 (2023) - [i37]Xinghui Li, Kai Han, Xingchen Wan, Victor Adrian Prisacariu:
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning. CoRR abs/2305.02385 (2023) - [i36]Bingchen Zhao, Xin Wen, Kai Han:
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery. CoRR abs/2305.06144 (2023) - [i35]Jonathan Roberts, Timo Lüddecke, Sowmen Das, Kai Han, Samuel Albanie:
GPT4GEO: How a Language Model Sees the World's Geography. CoRR abs/2306.00020 (2023) - [i34]Shaozhe Hao, Kai Han, Shihao Zhao, Kwan-Yee K. Wong:
ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation. CoRR abs/2306.00971 (2023) - [i33]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. CoRR abs/2306.03038 (2023) - [i32]Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong:
Guide3D: Create 3D Avatars from Text and Image Guidance. CoRR abs/2308.09705 (2023) - [i31]Xinghui Li, Jingyi Lu, Kai Han, Victor Prisacariu:
SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching. CoRR abs/2310.17569 (2023) - [i30]Jonathan Roberts, Timo Lüddecke, Rehan Sheikh, Kai Han, Samuel Albanie:
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs. CoRR abs/2311.14656 (2023) - 2022
- [i29]Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Generalized Category Discovery. CoRR abs/2201.02609 (2022) - [i28]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. CoRR abs/2203.13312 (2022) - [i27]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. CoRR abs/2204.10549 (2022) - [i26]K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian:
Spacing Loss for Discovering Novel Categories. CoRR abs/2204.10595 (2022) - [i25]K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian:
Novel Class Discovery without Forgetting. CoRR abs/2207.10659 (2022) - 2021
- [i24]Kai Han, Miaomiao Liu, Dirk Schnieders, Kwan-Yee K. Wong:
Fixed Viewpoint Mirror Surface Reconstruction under an Uncalibrated Camera. CoRR abs/2101.09392 (2021) - [i23]Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang:
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification. CoRR abs/2103.14267 (2021) - [i22]Xuhui Jia, Kai Han, Yukun Zhu, Bradley Green:
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data. CoRR abs/2104.12673 (2021) - [i21]Kai Han, Kwan-Yee K. Wong, Miaomiao Liu:
Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction. CoRR abs/2105.09993 (2021) - [i20]Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
AutoNovel: Automatically Discovering and Learning Novel Visual Categories. CoRR abs/2106.15252 (2021) - [i19]Bingchen Zhao, Kai Han:
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation. CoRR abs/2107.03358 (2021) - [i18]Jie Li, Sheng Zhang, Kai Han, Xia Yuan, Chunxia Zhao, Yu Liu:
Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle. CoRR abs/2107.12852 (2021) - [i17]Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Open-Set Recognition: A Good Closed-Set Classifier is All You Need. CoRR abs/2110.06207 (2021) - 2020
- [i16]Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
Automatically Discovering and Learning New Visual Categories with Ranking Statistics. CoRR abs/2002.05714 (2020) - [i15]Yuda Qiu, Zhangyang Xiong, Kai Han, Zhongyuan Wang, Zixiang Xiong, Xiaoguang Han:
Learning Inverse Rendering of Faces from Real-world Videos. CoRR abs/2003.12047 (2020) - [i14]Shuda Li, Kai Han, Theo W. Costain, Henry Howard-Jenkins, Victor Prisacariu:
Correspondence Networks with Adaptive Neighbourhood Consensus. CoRR abs/2003.12059 (2020) - [i13]Jie Li, Kai Han, Peng Wang, Yu Liu, Xia Yuan:
Anisotropic Convolutional Networks for 3D Semantic Scene Completion. CoRR abs/2004.02122 (2020) - [i12]Xinghui Li, Kai Han, Shuda Li, Victor Adrian Prisacariu:
Dual-Resolution Correspondence Networks. CoRR abs/2006.08844 (2020) - [i11]Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
LSD-C: Linearly Separable Deep Clusters. CoRR abs/2006.10039 (2020) - [i10]Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong:
Deep Photometric Stereo for Non-Lambertian Surfaces. CoRR abs/2007.13145 (2020) - [i9]Georgi Tinchev, Shuda Li, Kai Han, David Mitchell, Rigas Kouskouridas:
XResolution Correspondence Networks. CoRR abs/2012.09842 (2020) - 2019
- [i8]Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong:
Self-calibrating Deep Photometric Stereo Networks. CoRR abs/1903.07366 (2019) - [i7]Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce:
Unsupervised Image Matching and Object Discovery as Optimization. CoRR abs/1904.03148 (2019) - [i6]Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Semi-Supervised Learning with Scarce Annotations. CoRR abs/1905.08845 (2019) - [i5]Guanying Chen, Kai Han, Kwan-Yee K. Wong:
Learning Transparent Object Matting. CoRR abs/1907.11544 (2019) - [i4]Kai Han, Andrea Vedaldi, Andrew Zisserman:
Learning to Discover Novel Visual Categories via Deep Transfer Clustering. CoRR abs/1908.09884 (2019) - 2018
- [i3]Guanying Chen, Kai Han, Kwan-Yee K. Wong:
TOM-Net: Learning Transparent Object Matting from a Single Image. CoRR abs/1803.04636 (2018) - [i2]Guanying Chen, Kai Han, Kwan-Yee K. Wong:
PS-FCN: A Flexible Learning Framework for Photometric Stereo. CoRR abs/1807.08696 (2018) - 2017
- [i1]Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce:
SCNet: Learning Semantic Correspondence. CoRR abs/1705.04043 (2017)
Coauthor Index
Kwan-Yee Kenneth Wong
aka: Kwan-Yee K. Wong
aka: Kwan-Yee K. Wong
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