| Learning Disentangled Representation for Robust Person Re-identification C Eom, B Ham Advances in Neural Information Processing Systems, 2019, 2019 | 103 | 2019 |
| Video-based person re-identification with spatial and temporal memory networks C Eom, G Lee, J Lee, B Ham Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 97 | 2021 |
| Bi-directional contrastive learning for domain adaptive semantic segmentation G Lee, C Eom, W Lee, H Park, B Ham European Conference on Computer Vision, 38-55, 2022 | 33 | 2022 |
| Disentangled representations for short-term and long-term person re-identification C Eom, W Lee, G Lee, B Ham IEEE transactions on pattern analysis and machine intelligence 44 (12), 8975 …, 2021 | 28* | 2021 |
| Temporally consistent depth prediction with flow-guided memory units C Eom, H Park, B Ham IEEE Transactions on Intelligent Transportation Systems 21 (11), 4626-4636, 2019 | 16 | 2019 |
| Subnet-Aware Dynamic Supernet Training for Neural Architecture Search J Jeon, Y Oh, J Lee, D Baek, D Kim, C Eom, B Ham arXiv preprint arXiv:2503.10740, 2025 | | 2025 |
| Detailed Caption Processing in Vision–Language H Choi, C Eom TECHART: Journal of Arts and Imaging Science 12 (1), 1-6, 2025 | | 2025 |
| Cerberus: Attribute-based person re-identification using semantic IDs C Eom, G Lee, K Cho, H Jung, M Jin, B Ham Expert Systems with Applications 259, 125320, 2025 | | 2025 |
Bumsub HamYonsei UniversityVerified email at yonsei.ac.kr
