| 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 |
| FastAno: Fast anomaly detection via spatio-temporal patch transformation C Park, MA Cho, M Lee, S Lee Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 31 | 2022 |
| 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 |
| Edgeconv with attention module for monocular depth estimation M Lee, S Hwang, C Park, S Lee Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 21 | 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 |
| Look around for anomalies: weakly-supervised anomaly detection via context-motion relational learning MA Cho, M Kim, S Hwang, C Park, K Lee, S Lee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 16 | 2023 |
| Saliency detection via global context enhanced feature fusion and edge weighted loss C Park, M Lee, MA Cho, S Lee 2022 IEEE International Conference on Image Processing (ICIP), 811-815, 2022 | 4 | 2022 |
| 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 |
| 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 |
| RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection C Park, M Lee, MA Cho, S Lee arXiv preprint arXiv:2202.06256, 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 |
| 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 |
| 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 | | 2024 |
| Patch Rotation Augmented Autoencoder Network for Anomaly Detection C Park, MA Cho, M Lee, S Lee 대한전자공학회 학술대회, 927-929, 2021 | | 2021 |
| SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection (Supplementary Material) M Lee, C Park, S Cho, S Lee | | |
Minhyeok LeeYonsei University在 yonsei.ac.kr 的电子邮件经过验证
Minhyeok LeeYonsei University在 yonsei.ac.kr 的电子邮件经过验证
Suhwan ChoYonsei University在 yonsei.ac.kr 的电子邮件经过验证