| Self-Calibrating Neural Radiance Fields Y Jeong, S Ahn, C Choy, A Anandkumar, M Cho, J Park International Conference on Computer Vision, 2021 | 230 | 2021 |
| Fast Point Transformer C Park, Y Jeong, M Cho, J Park Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 191 | 2022 |
| Perfception: Perception using radiance fields Y Jeong, S Shin, J Lee, C Choy, A Anandkumar, M Cho, J Park Advances in Neural Information Processing Systems 35, 26105-26121, 2022 | 23 | 2022 |
| Self-supervised Learning of Image Scale and Orientation Estimation J Lee, Y Jeong, M Cho British Machine Vision Virtual Conference, 2021 | 18* | 2021 |
| Learning to Distill Convolutional Features Into Compact Local Descriptors J Lee, Y Jeong, S Kim, J Min, M Cho Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 10 | 2021 |
| Efficient point transformer for large-scale 3d scene understanding C Park, Y Jeong, M Cho, J Park | 6 | 2021 |
| Stable and consistent prediction of 3d characteristic orientation via invariant residual learning S Kim, C Park, Y Jeong, J Park, M Cho arXiv preprint arXiv:2306.11406, 2023 | 3 | 2023 |
| SeLCA: Self-supervised learning of canonical axis S Kim, Y Jeong, C Park, J Park, M Cho NeurIPS 2022 workshop on symmetry and geometry in neural representations, 2022 | 3 | 2022 |
| NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image Y Jeong, J Lee, DL Chiheon Kim, Minsu Cho ECCV2024, https://postech-cvlab.github.io/nvsadapt, 2023 | | 2023 |
| Towards Pose-Free Dynamic Neural Fields: Leveraging Geometric Foundation Models Y Jeong, J Lee, H Choi, M Cho | | |
Minsu ChoAssociate Professor of CSE & AI, POSTECHVerified email at postech.ac.kr
