| Regularization strategy for point cloud via rigidly mixed sample D Lee, J Lee, J Lee, H Lee, M Lee, S Woo, S Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 68 | 2021 |
| Hierarchically decomposed graph convolutional networks for skeleton-based action recognition J Lee, M Lee, D Lee, S Lee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 64 | 2023 |
| Robust lane detection via expanded self attention M Lee, J Lee, D Lee, W Kim, S Hwang, S Lee Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 54 | 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 | 47 | 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 | 31 | 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 | 29 | 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 | 25 | 2022 |
| Dp-nerf: Deblurred neural radiance field with physical scene priors D Lee, M Lee, C Shin, S Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| 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 | 20 | 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 | 19 | 2023 |
| 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 | 7 | 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 |
| 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 |
| Synchronizing Vision and Language: Bidirectional Token-Masking AutoEncoder for Referring Image Segmentation M Lee, D Lee, J Lee, S Cho, H Choi, IJ Kim, S Lee arXiv preprint arXiv:2311.17952, 2023 | | 2023 |
| Adaptive Graph Convolution Module for Salient Object Detection Y Lee, M Lee, S Cho, S Lee 2023 IEEE International Conference on Image Processing (ICIP), 1395-1399, 2023 | | 2023 |
Chaewon ParkYonsei UniversityVerified email at yonsei.ac.kr
