| Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation M Kang, J Park, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 176 | 2022 |
| Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud S Kim, J Park, B Han Advances in Neural Information Processing Systems 33, 2020 | 75 | 2020 |
| Class-Incremental Learning for Action Recognition in Videos J Park, M Kang, B Han Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 50 | 2021 |
| Multi-Modal Representation Learning with Text-Driven Soft Masks J Park, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Learning to Adapt to Unseen Abnormal Activities under Weak Supervision J Park, J Kim, B Han Proceedings of the Asian Conference on Computer Vision, 2020 | 5 | 2020 |
| End-to-end learning for weakly supervised video anomaly detection using Absorbing Markov Chain J Park, J Kim, B Han Computer Vision and Image Understanding 236, 103798, 2023 | 3 | 2023 |
| Cross-Class Feature Augmentation for Class Incremental Learning T Kim, J Park, B Han Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13168 …, 2024 | | 2024 |
Bohyung HanProfessor, Seoul National UniversityVerified email at snu.ac.kr
