Deep Hough Voting for Robust Global Registration. - Junha Lee; Seungwook Kim 005; Minsu Cho; Jaesik Park (ICCV, 2021)

Learning to Distill Convolutional Features into Compact Local Descriptors. - Jongmin Lee 005; Yoonwoo Jeong; Seungwook Kim 005; Juhong Min; Minsu Cho (WACV, 2021)

TransforMatcher: Match-to-Match Attention for Semantic Correspondence. - Seungwook Kim 005; Juhong Min; Minsu Cho (CVPR, 2022)

Learning Rotation-Equivariant Features for Visual Correspondence. - Jongmin Lee 005; Byungjin Kim; Seungwook Kim 005; Minsu Cho (CVPR, 2023)

Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning. - Seungwook Kim 005; Chunghyun Park; Yoonwoo Jeong; Jaesik Park; Minsu Cho (ICML, 2023)

Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence. - Juhong Min; Seungwook Kim 005; Minsu Cho (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Efficient Semantic Matching with Hypercolumn Correlation. - Seungwook Kim 005; Juhong Min; Minsu Cho (WACV, 2024)

Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences. - Seungwook Kim 005; Kejie Li; Xueqing Deng; Yichun Shi; Minsu Cho; Peng Wang (CoRR, 2024)

Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform. - Chunghyun Park; Seungwook Kim 005; Jaesik Park; Minsu Cho (CoRR, 2024)

Multi-view Image Prompted Multi-view Diffusion for Improved 3D Generation. - Seungwook Kim 005; Yichun Shi; Kejie Li; Minsu Cho; Peng Wang (CoRR, 2024)