| Unsupervised video anomaly detection via normalizing flows with implicit latent features MA Cho, T Kim, WJ Kim, S Cho, S Lee Pattern Recognition 129, 108703, 2022 | 63 | 2022 |
| Spsn: Superpixel prototype sampling network for rgb-d salient object detection M Lee, C Park, S Cho, S Lee European conference on computer vision, 630-647, 2022 | 56 | 2022 |
| Treating motion as option to reduce motion dependency in unsupervised video object segmentation S Cho, M Lee, S Lee, C Park, D Kim, S Lee Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 33 | 2023 |
| Tackling background distraction in video object segmentation S Cho, H Lee, M Lee, C Park, S Jang, M Kim, S Lee European Conference on Computer Vision, 446-462, 2022 | 28 | 2022 |
| Pixel-level bijective matching for video object segmentation S Cho, H Lee, M Kim, S Jang, S Lee Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 25 | 2022 |
| Unsupervised video object segmentation via prototype memory network M Lee, S Cho, S Lee, C Park, S Lee Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 20 | 2023 |
| Fapm: Fast adaptive patch memory for real-time industrial anomaly detection D Kim, C Park, S Cho, S Lee ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 18 | 2023 |
| Occluded person re-identification via relational adaptive feature correction learning M Kim, MA Cho, H Lee, S Cho, S Lee ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 13 | 2022 |
| Leveraging spatio-temporal dependency for skeleton-based action recognition J Lee, M Lee, S Cho, S Woo, S Jang, S Lee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| Crvos: Clue refining network for video object segmentation S Cho, MA Cho, T Chung, H Lee, S Lee 2020 IEEE International Conference on Image Processing (ICIP), 2301-2305, 2020 | 8 | 2020 |
| Ghost graph convolutional network for skeleton-based action recognition S Jang, H Lee, S Cho, S Woo, S Lee 2021 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 1-4, 2021 | 4 | 2021 |
| Two-stream decoder feature normality estimating network for industrial anomaly detection C Park, M Lee, S Cho, D Kim, S Lee ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Superpixel group-correlation network for co-saliency detection M Lee, C Park, S Cho, S Lee 2022 IEEE International Conference on Image Processing (ICIP), 806-810, 2022 | 3 | 2022 |
| One-shot video inpainting S Lee, S Cho, S Lee arXiv preprint arXiv:2302.14362, 2023 | 2 | 2023 |
| Pixel-Level Equalized Matching for Video Object Segmentation S Cho, WJ Kim, MA Cho, S Lee, M Lee, C Park, S Lee arXiv preprint arXiv:2209.03139, 2022 | 2 | 2022 |
| Global-local aggregation with deformable point sampling for camouflaged object detection M Lee, S Cho, C Park, D Lee, J Lee, S Lee arXiv preprint arXiv:2211.12048, 2022 | 2 | 2022 |
| PMVOS: pixel-level matching-based video object segmentation S Cho, H Lee, S Woo, S Jang, S Lee arXiv preprint arXiv:2009.08855, 2020 | 2 | 2020 |
| Dual prototype attention for unsupervised video object segmentation S Cho, M Lee, S Lee, D Lee, H Choi, IJ Kim, S Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Domain Alignment and Temporal Aggregation for Unsupervised Video Object Segmentation. S Cho, M Lee, S Lee, S Lee arXiv preprint arXiv:2211.12036, 2022 | 1 | 2022 |
| Boundary-aware camouflaged object detection via deformable point sampling M Lee, S Cho, C Park, D Lee, J Lee, S Lee 2024 International Conference on Electronics, Information, and Communication …, 2024 | | 2024 |
