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 | 168 | 2022 |
Style neophile: Constantly seeking novel styles for domain generalization J Kang, S Lee, N Kim, S Kwak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 98 | 2022 |
Urie: Universal image enhancement for visual recognition in the wild T Son, J Kang, N Kim, S Cho, S Kwak Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 59 | 2020 |
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 | 41 | 2023 |
Wedge: web-image assisted domain generalization for semantic segmentation N Kim, T Son, J Pahk, C Lan, W Zeng, S Kwak 2023 IEEE International Conference on Robotics and Automation (ICRA), 9281-9288, 2023 | 23 | 2023 |
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 | 18 | 2023 |
Learning to detect semantic boundaries with image-level class labels N Kim, S Hwang, S Kwak International Journal of Computer Vision 130 (9), 2131-2148, 2022 | 2 | 2022 |
FREST: Feature RESToration for semantic segmentation under multiple adverse conditions S Lee, N Kim, S Kim, S Kwak European Conference on Computer Vision, 1-18, 2024 | 1 | 2024 |