| Per-clip video object segmentation K Park, S Woo, SW Oh, IS Kweon, JY Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 359 | 2022 |
| Labor: Labeling only if required for domain adaptive semantic segmentation I Shin, DJ Kim, JW Cho, S Woo, K Park, IS Kweon Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 353 | 2021 |
| Preserving semantic and temporal consistency for unpaired video-to-video translation K Park, S Woo, D Kim, D Cho, IS Kweon Proceedings of the 27th ACM International Conference on Multimedia, 1248-1257, 2019 | 320 | 2019 |
| Discover, hallucinate, and adapt: Open compound domain adaptation for semantic segmentation K Park, S Woo, I Shin, IS Kweon Advances in Neural Information Processing Systems (NeurIPS) 33, 10869-10880, 2020 | 317 | 2020 |
| Self-supervised monocular depth estimation from thermal images via adversarial multi-spectral adaptation U Shin, K Park, BU Lee, K Lee, IS Kweon Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 26 | 2023 |
| Mask-guided matting in the wild K Park, S Woo, SW Oh, IS Kweon, JY Lee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 25 | 2023 |
| Koala: Empirical lessons toward memory-efficient and fast diffusion models for text-to-image synthesis Y Lee, K Park, Y Cho, YJ Lee, SJ Hwang Advances in Neural Information Processing Systems 37, 51597-51633, 2024 | 23* | 2024 |
| Test-time adaptation in the dynamic world with compound domain knowledge management J Song, K Park, I Shin, S Woo, C Zhang, IS Kweon IEEE Robotics and Automation Letters 8 (11), 7583-7590, 2023 | 21* | 2023 |
| Bidirectional domain mixup for domain adaptive semantic segmentation D Kim, M Seo, K Park, I Shin, S Woo, IS Kweon, DG Choi Proceedings of the AAAI conference on artificial intelligence 37 (1), 1114-1123, 2023 | 20 | 2023 |
| Unsupervised domain adaptation for video semantic segmentation I Shin*, K Park*, S Woo, IS Kweon arXiv preprint arXiv:2107.11052, 2021 | 18 | 2021 |
| Learning classifiers of prototypes and reciprocal points for universal domain adaptation S Hur, I Shin, K Park, S Woo, IS Kweon Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 17 | 2023 |
| Tracking by associating clips S Woo, K Park, SW Oh, IS Kweon, JY Lee European Conference on Computer Vision, 129-145, 2022 | 13* | 2022 |
| Bridging images and videos: A simple learning framework for large vocabulary video object detection S Woo, K Park, SW Oh, IS Kweon, JY Lee European Conference on Computer Vision, 238-258, 2022 | 10 | 2022 |
| Align-and-attend network for globally and locally coherent video inpainting S Woo, D Kim, KY Park, JY Lee, IS Kweon Proceedings of the British Machine Vision Conference (BMVC), 2019 | 9 | 2019 |
| MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark S Woo*, K Park*, I Shin*, M Kim*, IS Kweon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| HoliSafe: Holistic Safety Benchmarking and Modeling with Safety Meta Token for Vision-Language Model Y Lee, K Kim, K Park, I Jung, S Jang, S Lee, YJ Lee, SJ Hwang arXiv preprint arXiv:2506.04704, 2025 | 6 | 2025 |
| Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection K Park, K Saito, D Kim European Conference on Computer Vision, 1-19, 2024 | 4 | 2024 |
| Systems and methods for object tracking JY Lee, S Oh, K Park US Patent App. 17/657,430, 2023 | 3 | 2023 |
| Joint self-supervised learning and adversarial adaptation for monocular depth estimation from thermal image U Shin, K Park, K Lee, BU Lee, IS Kweon Machine Vision and Applications 34 (4), 55, 2023 | 3 | 2023 |
| Learning Compositionality from Multifaceted Synthetic Data for Language-based Object Detection K Park, S An, YJ Lee, D Kim International Journal of Computer Vision 133 (11), 7873-7896, 2025 | 1 | 2025 |
Sanghyun WooGoogle DeepMindVerified email at google.com
