| 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 | 92 | 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 | 57 | 2020 |
| Leveraging Proxy of Training Data for Test-Time Adaptation J Kang, N Kim, D Kwon, J Ok, S Kwak | 10 | 2023 |
| Context-Aware Memory Profiling for Speculative Parallelism C Kim, J Kim, J Kang, JW Lee, H Kim 2017 IEEE 24th International Conference on High Performance Computing (HiPC …, 2017 | 5 | 2017 |
| Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization N Kim, J Kang, S Ahn, J Ok, S Kwak arXiv preprint arXiv:2409.03303, 2024 | 1 | 2024 |
| MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory J Kang, N Kim, J Ok, S Kwak European Conference on Computer Vision, 467-483, 2024 | 1 | 2024 |
| Removing Multiple Shortcuts through the Lens of Multi-task Learning N Kim, J Kang, S Ahn, J Ok, S Kwak | | |
| URIE: Universal Image Enhancement for Visual Recognition in the Wild—Supplementary Material— T Son, J Kang, N Kim, S Cho, S Kwak | | |
