Tackling Background Distraction in Video Object Segmentation. - Suhwan Cho; Heansung Lee 001; Minhyeok Lee; Chaewon Park; Sungjun Jang; Minjung Kim 002; Sangyoun Lee (ECCV (22), 2022)

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

Pixel-Level Bijective Matching for Video Object Segmentation. - Suhwan Cho; Heansung Lee 001; Minjung Kim 002; Sungjun Jang; Sangyoun Lee (WACV, 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)

FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction. - Sungmin Woo; Minjung Kim 002; Donghyeong Kim; Sungjun Jang; Sangyoun Lee (ICRA, 2024)

Multi-Granularity Aggregation with Spatiotemporal Consistency for Video-Based Person Re-Identification. - Hean Sung Lee 001; Minjung Kim 002; Sungjun Jang; Han Byeol Bae; Sangyoun Lee (Sensors, 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)