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 | 95 | 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 | 91 | 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 | 53 | 2023 |
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 | 42 | 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 | 38 | 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 | 37 | 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 | 28 | 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 | 23 | 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 | 20 | 2022 |
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 | 11 | 2024 |
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 | 9 | 2020 |
Guided slot attention for unsupervised video object segmentation M Lee, S Cho, D Lee, C Park, J Lee, S Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
Video diffusion models are strong video inpainter M Lee, S Cho, C Shin, J Lee, S Yang, S Lee arXiv preprint arXiv:2408.11402, 2024 | 5 | 2024 |
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 | 5 | 2021 |
Crim-gs: Continuous rigid motion-aware gaussian splatting from motion blur images J Lee, D Kim, D Lee, S Cho, S Lee arXiv preprint arXiv:2407.03923, 2024 | 4 | 2024 |
Tsanet: Temporal and scale alignment for unsupervised video object segmentation S Lee, S Cho, D Lee, M Lee, S Lee 2023 IEEE International Conference on Image Processing (ICIP), 1535-1539, 2023 | 4 | 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 | 4 | 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 | 3 | 2024 |
Treating motion as option with output selection for unsupervised video object segmentation S Cho, M Lee, J Lee, MA Cho, S Lee arXiv preprint arXiv:2309.14786, 2023 | 3 | 2023 |
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 |