| Hypercorrelation squeeze for few-shot segmentation J Min, D Kang, M Cho Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 399 | 2021 |
| Relational embedding for few-shot classification D Kang, H Kwon, J Min, M Cho Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 262 | 2021 |
| Integrative Few-Shot Learning for Classification and Segmentation D Kang, M Cho Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 90 | 2022 |
| Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation J Yoon, D Kang, M Cho Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 49 | 2022 |
| Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation D Kang, P Koniusz, M Cho, N Murray Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 35 | 2023 |
| Contrastive Mean-Shift Learning for Generalized Category Discovery S Choi, D Kang, M Cho Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10 | 2024 |
| Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval D Jung, D Kang, S Kwak, M Cho Proceedings of the Asian Conference on Computer Vision, 1875-1891, 2022 | 9 | 2022 |
| In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation D Kang, M Cho European Conference on Computer Vision, 143-164, 2024 | 7 | 2024 |
| DINOv2 Meets Text: A Unified Framework for Image-and Pixel-Level Vision-Language Alignment C Jose, T Moutakanni, D Kang, F Baldassarre, T Darcet, H Xu, D Li, ... arXiv preprint arXiv:2412.16334, 2024 | | 2024 |
