Video-Text Representation Learning via Differentiable Weak Temporal Alignment. - Dohwan Ko; Joonmyung Choi; Juyeon Ko; Shinyeong Noh; Kyoung-Woon On; Eun-Sol Kim; Hyunwoo J. Kim (CVPR, 2022)

TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. - Hyeong Kyu Choi; Joonmyung Choi; Hyunwoo J. Kim (NeurIPS, 2022)

MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models. - Dohwan Ko; Joonmyung Choi; Hyeong Kyu Choi; Kyoung-Woon On; Byungseok Roh; Hyunwoo J. Kim (CVPR, 2023)

Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification. - Injae Kim; Jongha Kim; Joonmyung Choi; Hyunwoo J. Kim (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Robust auxiliary learning with weighting function for biased data. - Dasol Hwang; Sojin Lee; Joonmyung Choi; Je-Keun Rhee; Hyunwoo J. Kim (Inf. Sci., 2023)

vid-TLDR: Training Free Token merging for Light-Weight Video Transformer. - Joonmyung Choi; Sanghyeok Lee; Jaewon Chu; Minhyuk Choi; Hyunwoo J. Kim (CVPR, 2024)

Multi-Criteria Token Fusion with One-Step-Ahead Attention for Efficient Vision Transformers. - Sanghyeok Lee; Joonmyung Choi; Hyunwoo J. Kim (CVPR, 2024)

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality. - Sanghyeok Lee; Joonmyung Choi; Hyunwoo J. Kim (CVPR, 2025)