Kim, Taehoon

14 publications

ICCV 2025 Beyond Spatial Frequency: Pixel-Wise Temporal Frequency-Based Deepfake Video Detection Taehoon Kim, Jongwook Choi, Yonghyun Jeong, Haeun Noh, Jaejun Yoo, Seungryul Baek, Jongwon Choi

NeurIPSW 2024 Analog Computing for AI Sometimes Needs Correction by Digital Computing: Why and When Changdae Kim, Daegun Yoon, Taehoon Kim, Yeonjeong Jeong, Kangho Kim, Kwangwon Koh, Eunji Pak

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

CVPR 2024 D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection Dinh Phat Do, Taehoon Kim, Jaemin Na, Jiwon Kim, Keonho Lee, Kyunghwan Cho, Wonjun Hwang

ICMLW 2024 Ethereum AI Agent Coordinator (EAAC): A Framework for AI Agent Activity Coordination Taehoon Kim

CVPR 2024 Exploiting Style Latent Flows for Generalizing Deepfake Video Detection Jongwook Choi, Taehoon Kim, Yonghyun Jeong, Seungryul Baek, Jongwon Choi

WACV 2024 Human Motion Aware Text-to-Video Generation with Explicit Camera Control Taehoon Kim, ChanHee Kang, JaeHyuk Park, Daun Jeong, ChangHee Yang, Suk-Ju Kang, Kyeongbo Kong

CVPRW 2024 Large-Scale Bidirectional Training for Zero-Shot Image Captioning Taehoon Kim, Mark Marsden, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Alessandra Sala, Seung Hwan Kim

CVPRW 2024 NICE: CVPR 2023 Challenge on Zero-Shot Image Captioning Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Wooyoung Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun

WACV 2024 Randomized Adversarial Style Perturbations for Domain Generalization Taehoon Kim, Bohyung Han

CVPRW 2024 Reciprocal Attention Mixing Transformer for Lightweight Image Restoration Haram Choi, Cheolwoong Na, Jihyeon Oh, Seungjae Lee, Jinseop Kim, Subeen Choe, Jeongmin Lee, Taehoon Kim, Jihoon Yang

WACV 2023 Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim

CVPR 2022 L-Verse: Bidirectional Generation Between Image and Text Taehoon Kim, Gwangmo Song, Sihaeng Lee, Sangyun Kim, Yewon Seo, Soonyoung Lee, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae

ICML 2019 Quantifying Generalization in Reinforcement Learning Karl Cobbe, Oleg Klimov, Chris Hesse, Taehoon Kim, John Schulman