Publication
2025-06-08
6 papers have been accepted to CVPR 2024
본문
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform
Chunghyun Park*, Seungwook Kim*, Jaesik Park, Minsu ChoIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences
Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng WangIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024
Contrastive Mean-Shift Learning for Generalized Category Discovery
Sua Choi, Dahyun Kang, Minsu ChoIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024
Learning Correlation Structures for Vision Transformers
Manjin Kim, Paul Hongsuck Seo, Cordelia Schmid, Minsu ChoIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024
MoReVQA: Exploring Modular Reasoning Models for Video Questiong Answering
Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia SchmidIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024
Extreme Point Supervised Instance Segmentation
Hyeonjun Lee, Sehyun Hwang, Suha KwakIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024
Our paper about referring image segmentation has been accepted to NAACL 2024
- Minguk Kang, Sohyun Lee, and Dayoung Gong won the BK21 outstanding paper awards