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} } |
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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} } |
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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} } |
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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}, } |
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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}, } |
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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}, } |
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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} } |
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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} } |
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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} } |
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} } |
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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}, } |
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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}, } |
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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} } |
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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} } |
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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} } |
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}, } |
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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} } |
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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}, } |
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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} } |
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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} } |
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} } |
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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} } |
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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} } |
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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} } |
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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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