| 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 | 99 | 2022 |
| 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 | 53 | 2022 |
| Relational deep feature learning for heterogeneous face recognition MA Cho, T Kim, IJ Kim, K Lee, S Lee IEEE Transactions on Information Forensics and Security 16, 376-388, 2020 | 50 | 2020 |
| 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 | 38 | 2023 |
| Feature disentanglement learning with switching and aggregation for video-based person re-identification M Kim, MA Cho, S Lee Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 26 | 2023 |
| Learning temporally invariant and localizable features via data augmentation for video recognition T Kim, H Lee, MA Cho, HS Lee, DH Cho, S Lee Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 23 | 2020 |
| 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 |
| SSAT: Self-supervised associating network for multiobject tracking TY Chung, MA Cho, H Lee, S Lee IEEE Transactions on Circuits and Systems for Video Technology 32 (11), 7858 …, 2022 | 11 | 2022 |
| N-rpn: Hard example learning for region proposal networks MA Cho, T Chung, H Lee, S Lee 2019 IEEE international conference on image processing (ICIP), 3955-3959, 2019 | 10 | 2019 |
| NIR-to-VIS face recognition via embedding relations and coordinates of the pairwise features MA Cho, T Chung, T Kim, S Lee 2019 International Conference on Biometrics (ICB), 1-8, 2019 | 10 | 2019 |
| 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 |
| Three-Dimensional Rotation Angle Preprocessing and Weighted Blending for Fast Panoramic Image Method M Cho, J Kim, K Kim Journal of Broadcast Engineering 23 (2), 235-245, 2018 | 6 | 2018 |
| 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 | 5 | 2022 |
| Frame-to-frame visual odometry estimation network with error relaxation method S Hwang, M Cho, Y Ban, K Lee IEEE Access 10, 109994-110002, 2022 | 5 | 2022 |
| Object-oriented cutout data augmentation for tiny object detection S Yim, MA Cho, S Lee 2023 International Technical Conference on Circuits/Systems, Computers, and …, 2023 | 4 | 2023 |
| A Heterogeneous Face Recognition Via Part Adaptive And Relation Attention Module R Xu, MA Cho, S Lee 2021 IEEE International Conference on Image Processing (ICIP), 2983-2987, 2021 | 4* | 2021 |
| 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 |
| Fast video anomaly detection via context-aware shortcut exploration and abnormal feature distance learning C Park, D Kim, MA Cho, M Kim, M Lee, S Park, S Lee Pattern Recognition 157, 110877, 2025 | 2 | 2025 |
| 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 |
Chaewon ParkYonsei UniversityEmail được xác minh tại yonsei.ac.kr
