| Proxy anchor loss for deep metric learning S Kim, D Kim, M Cho, S Kwak Proceedings of the IEEE/CVF conference on computer vision and pattern
, 2020 | 431 | 2020 |
| Restr: Convolution-free referring image segmentation using transformers N Kim, D Kim, C Lan, W Zeng, S Kwak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2022 | 143 | 2022 |
| Embedding transfer with label relaxation for improved metric learning S Kim, D Kim, M Cho, S Kwak Proceedings of the IEEE/CVF conference on computer vision and pattern
, 2021 | 42 | 2021 |
| Improving cross-modal retrieval with set of diverse embeddings D Kim, N Kim, S Kwak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2023 | 25 | 2023 |
| Self-taught metric learning without labels S Kim, D Kim, M Cho, S Kwak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2022 | 19 | 2022 |
| Shatter and gather: Learning referring image segmentation with text supervision D Kim, N Kim, C Lan, S Kwak Proceedings of the IEEE/CVF International Conference on Computer Vision
, 2023 | 12 | 2023 |
| Extending CLIPs Image-Text Alignment to Referring Image Segmentation S Kim, M Kang, D Kim, J Park, S Kwak Proceedings of the 2024 Conference of the North American Chapter of the
, 2024 | 4 | 2024 |
Suha KwakPOSTECHPatvirtintas el. paštas postech.ac.kr
