| 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 | 450 | 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 | 447 | 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 | 360 | 2018 |
| Approaching the computational color constancy as a classification problem through deep learning SW Oh, SJ Kim Pattern Recognition 61, 405-416, 2017 | 95 | 2017 |
| 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 | 87 | 2019 |
| 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 | 84 | 2019 |
| 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 | 84 | 2016 |
| 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 | 55 | 2021 |
| 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 | 54 | 2021 |
| Video object segmentation by reference-guided mask propagation JY Lee, S Oh, KK Sunkavalli US Patent 10,671,855, 2020 | 46 | 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 | 45 | 2019 |
| 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 | 21 | 2021 |
| 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 | 19 | 2021 |
| 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 | 16 | 2020 |
| Deep space-time video upsampling networks J Kang, Y Jo, SW Oh, P Vajda, SJ Kim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 13 | 2020 |
| Segmenting objects in video sequences JY Lee, S Oh, N Xu US Patent 10,810,435, 2020 | 13 | 2020 |
| Single-shot path integrated panoptic segmentation S Hwang, SW Oh, SJ Kim Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 10 | 2022 |
| Vita: Video instance segmentation via object token association M Heo, S Hwang, SW Oh, JY Lee, SJ Kim arXiv preprint arXiv:2206.04403, 2022 | 9 | 2022 |
| Cross-identity motion transfer for arbitrary objects through pose-attentive video reassembling S Jeon, S Nam, SW Oh, SJ Kim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 8 | 2020 |
| Fast user-guided video object segmentation by deep networks SW Oh, JY Lee, N Xu, SJ Kim The 2018 DAVIS Challenge on Video Object Segmentation-CVPR Workshops 2, 6, 2018 | 8 | 2018 |
Seon Joo KimDept. of Computer Science, Yonsei University, Seoul, KoreaVerified email at yonsei.ac.kr
