Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks. - Minho Shim; Young Hwi Kim; Kyungmin Kim 002; Seon Joo Kim (ECCV (15), 2018)

READ: Reciprocal Attention Discriminator for Image-to-Video Re-identification. - Minho Shim; Hsuan-I Ho; Jinhyung Kim; Dongyoon Wee (ECCV (14), 2020)

Learning from Dances: Pose-Invariant Re-Identification for Multi-Person Tracking. - Hsuan-I Ho; Minho Shim; Dongyoon Wee (ICASSP, 2020)

Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning. - Jinhyung Kim; Taeoh Kim; Minho Shim; Dongyoon Han; Dongyoon Wee; Junmo Kim 002 (CoRR, 2022)

Frequency Selective Augmentation for Video Representation Learning. - Jinhyung Kim; Taeoh Kim; Minho Shim; Dongyoon Han; Dongyoon Wee; Junmo Kim 002 (AAAI, 2023)

Decomposed Cross-Modal Distillation for RGB-based Temporal Action Detection. - Pilhyeon Lee; Taeoh Kim; Minho Shim; Dongyoon Wee; Hyeran Byun (CVPR, 2023)

Exploring Temporally Dynamic Data Augmentation for Video Recognition. - Taeoh Kim; Jinhyung Kim; Minho Shim; Sangdoo Yun; Myunggu Kang; Dongyoon Wee; Sangyoun Lee (ICLR, 2023)

Masked Autoencoder for Unsupervised Video Summarization. - Minho Shim; Taeoh Kim; Jinhyung Kim; Dongyoon Wee (CoRR, 2023)

Classification Matters: Improving Video Action Detection with Class-Specific Attention. - Jinsung Lee; Taeoh Kim; Inwoong Lee; Minho Shim; Dongyoon Wee; Minsu Cho; Suha Kwak (ECCV (20), 2024)

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

Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval. - WonJun Moon; Cheol-Ho Cho; Woojin Jun; Minho Shim; Taeoh Kim; Inwoong Lee; Dongyoon Wee; Jae-Pil Heo (CoRR, 2025)

Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs. - Jeongseok Hyun; Sukjun Hwang; Su Ho Han; Taeoh Kim; Inwoong Lee; Dongyoon Wee; Joon-Young Lee; Seon Joo Kim; Minho Shim (CoRR, 2025)