| Video object segmentation using space-time memory networks SW Oh, JY Lee, N Xu, SJ Kim Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 756 | 2019 |
| Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation Y Jo, SW Oh, J Kang, SJ Kim Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 602 | 2018 |
| Fast video object segmentation by reference-guided mask propagation SW Oh, JY Lee, K Sunkavalli, SJ Kim Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 457 | 2018 |
| Copy-and-paste networks for deep video inpainting S Lee, SW Oh, DY Won, SJ Kim Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 149 | 2019 |
| Video instance segmentation using inter-frame communication transformers S Hwang, M Heo, SW Oh, SJ Kim Advances in Neural Information Processing Systems 34, 13352-13363, 2021 | 128 | 2021 |
| Onion-peel networks for deep video completion SW Oh, S Lee, JY Lee, SJ Kim Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 128 | 2019 |
| Hierarchical memory matching network for video object segmentation H Seong, SW Oh, JY Lee, S Lee, S Lee, E Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 117 | 2021 |
| Approaching the computational color constancy as a classification problem through deep learning SW Oh, SJ Kim Pattern Recognition 61, 405-416, 2017 | 115 | 2017 |
| Do it yourself hyperspectral imaging with everyday digital cameras SW Oh, MS Brown, M Pollefeys, SJ Kim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 101 | 2016 |
| Vita: Video instance segmentation via object token association M Heo, S Hwang, SW Oh, JY Lee, SJ Kim Advances in Neural Information Processing Systems 35, 23109-23120, 2022 | 72 | 2022 |
| Video object segmentation by reference-guided mask propagation JY Lee, S Oh, KK Sunkavalli US Patent 10,671,855, 2020 | 71 | 2020 |
| Fast user-guided video object segmentation by interaction-and-propagation networks SW Oh, JY Lee, N Xu, SJ Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 68 | 2019 |
| Tracking anything with decoupled video segmentation HK Cheng, SW Oh, B Price, A Schwing, JY Lee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 55 | 2023 |
| 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 | 53 | 2022 |
| Tackling the ill-posedness of super-resolution through adaptive target generation Y Jo, SW Oh, P Vajda, SJ Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 45 | 2021 |
| Exemplar-based open-set panoptic segmentation network J Hwang, SW Oh, JY Lee, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 40 | 2021 |
| A generalized framework for video instance segmentation M Heo, S Hwang, J Hyun, H Kim, SW Oh, JY Lee, SJ Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 34 | 2023 |
| Visolo: Grid-based space-time aggregation for efficient online video instance segmentation SH Han, S Hwang, SW Oh, Y Park, H Kim, MJ Kim, SJ Kim proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 32 | 2022 |
| Segmenting objects in video sequences JY Lee, S Oh, N Xu US Patent 10,810,435, 2020 | 26 | 2020 |
| Space-time memory networks for video object segmentation with user guidance SW Oh, JY Lee, N Xu, SJ Kim IEEE transactions on pattern analysis and machine intelligence 44 (1), 442-455, 2020 | 26 | 2020 |
Seon Joo KimDept. of Computer Science, Yonsei University, Seoul, KoreaVerified email at yonsei.ac.kr
