Learning to Adapt to Unseen Abnormal Activities Under Weak Supervision. - Jaeyoo Park; Junha Kim; Bohyung Han (ACCV (5), 2020)

Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud. - Seohyun Kim; Jaeyoo Park; Bohyung Han (NeurIPS, 2020)

Class-Incremental Learning for Action Recognition in Videos. - Jaeyoo Park; Minsoo Kang; Bohyung Han (ICCV, 2021)

Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation. - Minsoo Kang; Jaeyoo Park; Bohyung Han (CVPR, 2022)

Multi-Modal Representation Learning with Text-Driven Soft Masks. - Jaeyoo Park; Bohyung Han (CVPR, 2023)

End-to-end learning for weakly supervised video anomaly detection using Absorbing Markov Chain. - Jaeyoo Park; Junha Kim; Bohyung Han (Comput. Vis. Image Underst., 2023)

Cross-Class Feature Augmentation for Class Incremental Learning. - Taehoon Kim; Jaeyoo Park; Bohyung Han (AAAI, 2024)

Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding. - Jaeyoo Park; Jin Young Choi; Jeonghyung Park; Bohyung Han (NeurIPS, 2024)

Emergence of Text Readability in Vision Language Models. - Jaeyoo Park; Sanghyuk Chun; Wonjae Kim; Sangdoo Yun; Bohyung Han (CoRR, 2025)