| Cbam: Convolutional block attention module S Woo, J Park, JY Lee, IS Kweon Proceedings of the European conference on computer vision (ECCV), 3-19, 2018 | 15246 | 2018 |
| Bam: Bottleneck attention module J Park, S Woo, JY Lee, IS Kweon Proceedings of the British Machine Vision Conference (BMVC), 2018 | 1185* | 2018 |
| Deep Video Inpainting D Kim, S Woo, JY Lee, IS Kweon IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 197 | 2019 |
| Linknet: Relational embedding for scene graph S Woo, D Kim, D Cho, IS Kweon Advances in Neural Information Processing Systems (NeurIPS), 560-570, 2018 | 153 | 2018 |
| Video panoptic segmentation D Kim, S Woo, JY Lee, IS Kweon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 134 | 2020 |
| Convnext v2: Co-designing and scaling convnets with masked autoencoders S Woo, S Debnath, R Hu, X Chen, Z Liu, IS Kweon, S Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 123 | 2023 |
| Discriminative Feature Learning for Unsupervised Video Summarization Y Jung, D Cho, D Kim, S Woo, IS Kweon Association for the Advancement of Artificial Intelligence (AAAI), 2018 | 114 | 2018 |
| Two-phase Pseudo Label Densification for Self-training based Domain Adaptation I Shin, S Woo, F Pan, IS Kweon | 97* | |
| Stairnet: Top-down semantic aggregation for accurate one shot detection S Woo, S Hwang, IS Kweon 2018 IEEE winter conference on applications of computer vision (WACV), 1093-1102, 2018 | 96 | 2018 |
| A simple and light-weight attention module for convolutional neural networks J Park, S Woo, JY Lee, IS Kweon International journal of computer vision 128 (4), 783-798, 2020 | 74 | 2020 |
| Global-and-local relative position embedding for unsupervised video summarization Y Jung, D Cho, S Woo, IS Kweon European Conference on Computer Vision, 167-183, 2020 | 45 | 2020 |
| 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 | 37 | 2019 |
| 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 | 32 | 2021 |
| Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation K Park, S Woo, D Kim, D Cho, IS Kweon ACM Multimedia (MM), 2019, 2019 | 32 | 2019 |
| 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 | 30 | 2022 |
| 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 33, 10869-10880, 2020 | 29 | 2020 |
| 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 | 28 | 2021 |
| Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling Y Jung, D Kim, S Woo, K Kim, S Kim, IS Kweon Association for the Advancement of Artificial Intelligence (AAAI), 2020 | 28 | 2020 |
| Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence D Kim, S Woo, JY Lee, IS Kweon IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 26 | 2019 |
| 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 | 22 | 2021 |
In So KweonKAISTVerified email at kaist.ac.kr
