NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features. - MyeongAh Cho; Tae-Young Chung; Taeoh Kim; Sangyoun Lee (ICB, 2019)

N-RPN: Hard Example Learning For Region Proposal Networks. - MyeongAh Cho; Tae-Young Chung; Hyeongmin Lee; Sangyoun Lee (ICIP, 2019)

Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition. - Taeoh Kim; Hyeongmin Lee; MyeongAh Cho; Ho Seong Lee; Dong Heon Cho; Sangyoun Lee (ECCV Workshops (2), 2020)

Crvos: Clue Refining Network For Video Object Segmentation. - Suhwan Cho; MyeongAh Cho; Tae-Young Chung; Heansung Lee 001; Sangyoun Lee (ICIP, 2020)

Relational Deep Feature Learning for Heterogeneous Face Recognition. - MyeongAh Cho; Taeoh Kim; Ig-Jae Kim; Sangyoun Lee (CoRR, 2020)

Unsupervised Video Anomaly Detection via Flow-based Generative Modeling on Appearance and Motion Latent Features. - MyeongAh Cho; Taeoh Kim; Sangyoun Lee (CoRR, 2020)

Multi-object tracking with self-supervised associating network. - Tae-Young Chung; Heansung Lee 001; MyeongAh Cho; Suhwan Cho; Sangyoun Lee (CoRR, 2020)

A Heterogeneous Face Recognition Via Part Adaptive And Relation Attention Module. - Rushuang Xu; MyeongAh Cho; Sangyoun Lee (ICIP, 2021)

A NIR-to-VIS face recognition via part adaptive and relation attention module. - Rushuang Xu; MyeongAh Cho; Sangyoun Lee (CoRR, 2021)

Relational Deep Feature Learning for Heterogeneous Face Recognition. - MyeongAh Cho; Taeoh Kim; Ig-Jae Kim; Kyungjae Lee 003; Sangyoun Lee (IEEE Trans. Inf. Forensics Secur., 2021)

Occluded Person Re-Identification Via Relational Adaptive Feature Correction Learning. - Minjung Kim 002; MyeongAh Cho; Heansung Lee 001; Suhwan Cho; Sangyoun Lee (ICASSP, 2022)

Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss. - Chaewon Park; Minhyeok Lee; MyeongAh Cho; Sangyoun Lee (ICIP, 2022)

FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation. - Chaewon Park; MyeongAh Cho; Minhyeok Lee; Sangyoun Lee (WACV, 2022)

Frame-to-Frame Visual Odometry Estimation Network With Error Relaxation Method. - Sangwon Hwang; MyeongAh Cho; Yuseok Ban; Kyungjae Lee 003 (IEEE Access, 2022)

RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection. - Chaewon Park; Minhyeok Lee; MyeongAh Cho; Sangyoun Lee (CoRR, 2022)

Pixel-Level Equalized Matching for Video Object Segmentation. - Suhwan Cho; Woo Jin Kim; MyeongAh Cho; Seunghoon Lee 008; Minhyeok Lee; Chaewon Park; Sangyoun Lee (CoRR, 2022)

Unsupervised video anomaly detection via normalizing flows with implicit latent features. - MyeongAh Cho; Taeoh Kim; Woo Jin Kim; Suhwan Cho; Sangyoun Lee (Pattern Recognit., 2022)

SSAT: Self-Supervised Associating Network for Multiobject Tracking. - Tae-Young Chung; MyeongAh Cho; Heansung Lee 001; Sangyoun Lee (IEEE Trans. Circuits Syst. Video Technol., 2022)

Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning. - MyeongAh Cho; Minjung Kim 002; Sangwon Hwang; Chaewon Park; Kyungjae Lee 003; Sangyoun Lee (CVPR, 2023)

Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification. - Minjung Kim 002; MyeongAh Cho; Sangyoun Lee (WACV, 2023)

Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation. - Suhwan Cho; Minhyeok Lee; Jungho Lee; MyeongAh Cho; Sangyoun Lee (CoRR, 2023)

Towards Multi-Domain Learning for Generalizable Video Anomaly Detection. - MyeongAh Cho; Taeoh Kim; Minho Shim; Dongyoon Wee; Sangyoun Lee (NeurIPS, 2024)

Spatio-temporal Feature-level Augmentation Vision Transformer for video-based person re-identification. - Minjung Kim 002; MyeongAh Cho; Heansung Lee 001; Sangyoun Lee (Pattern Recognit., 2025)

Fast video anomaly detection via context-aware shortcut exploration and abnormal feature distance learning. - Chaewon Park; Donghyeong Kim; MyeongAh Cho; Minjung Kim 002; Minseok Lee; Seungwook Park; Sangyoun Lee (Pattern Recognit., 2025)