| Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles D Kim, D Cho, IS Kweon 2019 Association for the Advancement of Artificial Intelligence (AAAI), 2019 | 390 | 2019 |
| Deep video inpainting D Kim, S Woo, JY Lee, IS Kweon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 276 | 2019 |
| Learning image representations by completing damaged jigsaw puzzles D Kim, D Cho, D Yoo, IS Kweon 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 793-802, 2018 | 206 | 2018 |
| Video panoptic segmentation D Kim, S Woo, JY Lee, IS Kweon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 199 | 2020 |
| Two-phase learning for weakly supervised object localization D Kim, D Cho, D Yoo, I So Kweon Proceedings of the IEEE international conference on computer vision, 3534-3543, 2017 | 186 | 2017 |
| Neural human performer: Learning generalizable radiance fields for human performance rendering Y Kwon, D Kim, D Ceylan, H Fuchs Advances in Neural Information Processing Systems 34, 24741-24752, 2021 | 176 | 2021 |
| Linknet: Relational embedding for scene graph S Woo, D Kim, D Cho, IS Kweon Conference on Neural Information Processing Systems (NeurIPS) 2018, 2018 | 174 | 2018 |
| Discriminative Feature Learning for Unsupervised Video Summarization Y Jung, D Cho, D Kim, S Woo, IS Kweon 2019 Association for the Advancement of Artificial Intelligence (AAAI), 2018 | 159 | 2018 |
| Learning Open-World Object Proposals without Learning to Classify D Kim, TY Lin, A Angelova, IS Kweon, W Kuo IEEE RA-L and ICRA 2022, 2022 | 141 | 2022 |
| Cmt-deeplab: Clustering mask transformers for panoptic segmentation Q Yu, H Wang, D Kim, S Qiao, M Collins, Y Zhu, H Adam, A Yuille, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 104 | 2022 |
| Region-aware pretraining for open-vocabulary object detection with vision transformers D Kim, A Angelova, W Kuo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 75 | 2023 |
| Deeplab2: A tensorflow library for deep labeling M Weber, H Wang, S Qiao, J Xie, MD Collins, Y Zhu, L Yuan, D Kim, Q Yu, ... arXiv preprint arXiv:2106.09748, 2021 | 66 | 2021 |
| Recurrent temporal aggregation framework for deep video inpainting D Kim, S Woo, JY Lee, IS Kweon IEEE transactions on pattern analysis and machine intelligence 42 (5), 1038-1052, 2019 | 52 | 2019 |
| Tubeformer-deeplab: Video mask transformer D Kim, J Xie, H Wang, S Qiao, Q Yu, HS Kim, H Adam, IS Kweon, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 48 | 2022 |
| 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 | 43 | 2019 |
| Learning to associate every segment for video panoptic segmentation S Woo, D Kim, JY Lee, IS Kweon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 41 | 2021 |
| Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling Y Jung, D Kim, S Woo, K Kim, S Kim, IS Kweon 2020 Association for the Advancement of Artificial Intelligence (AAAI), 2020 | 38 | 2020 |
| Deep blind video decaptioning by temporal aggregation and recurrence D Kim, S Woo, JY Lee, IS Kweon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 35 | 2019 |
| Mammut: A simple architecture for joint learning for multimodal tasks W Kuo, AJ Piergiovanni, D Kim, X Luo, B Caine, W Li, A Ogale, L Zhou, ... arXiv preprint arXiv:2303.16839, 2023 | 31 | 2023 |
| The devil is in the boundary: Exploiting boundary representation for basis-based instance segmentation M Kim, S Woo, D Kim, IS Kweon Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 26 | 2021 |
In So KweonKAISTEmail confirmado em kaist.ac.kr