| 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 | 22989 | 2018 |
| Bam: Bottleneck attention module J Park, S Woo, JY Lee, IS Kweon Proceedings of the British Machine Vision Conference (BMVC), 2018 | 1570 | 2018 |
| 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 | 628* | 2023 |
| Deep Video Inpainting D Kim, S Woo, JY Lee, IS Kweon IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 252 | 2019 |
| Video panoptic segmentation D Kim, S Woo, JY Lee, IS Kweon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 182 | 2020 |
| Linknet: Relational embedding for scene graph S Woo, D Kim, D Cho, IS Kweon Advances in Neural Information Processing Systems (NeurIPS), 560-570, 2018 | 167 | 2018 |
| 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 | 151 | 2018 |
| Two-phase Pseudo Label Densification for Self-training based Domain Adaptation I Shin, S Woo, F Pan, IS Kweon | 119* | |
| 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 | 106 | 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 | 98 | 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 | 69 | 2020 |
| 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 | 56 | 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 | 52 | 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 | 48 | 2019 |
| 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 | 40 | 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 | 39 | 2021 |
| Cambrian-1: A fully open, vision-centric exploration of multimodal llms S Tong, E Brown, P Wu, S Woo, M Middepogu, SC Akula, J Yang, S Yang, ... arXiv preprint arXiv:2406.16860, 2024 | 37 | 2024 |
| 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 | 37 | 2020 |
| Studying the effects of self-attention for medical image analysis A Rao, J Park, S Woo, JY Lee, O Aalami Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 36 | 2021 |
| 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 | 34 | 2020 |
In So KweonKAISTVerified email at kaist.ac.kr
