Park, Jongchan

9 publications

ICML 2025 Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning Seungho Baek, Taegeon Park, Jongchan Park, Seungjun Oh, Yusung Kim

NeurIPS 2025 Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning Jongchan Park, Mingyu Park, Donghwan Lee

ECCV 2022 PT4AL: Using Self-Supervised Pretext Tasks for Active Learning John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi

CVPRW 2022 Unsupervised Change Detection Based on Image Reconstruction Loss Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, Dong-Geol Choi

CVPR 2021 Reducing Domain Gap by Reducing Style Bias Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo

ICCVW 2021 Studying the Effects of Self-Attention for Medical Image Analysis Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver O. Aalami

ICCVW 2021 The Value of Visual Attention for COVID-19 Classification in CT Scans Adrit Rao, Jongchan Park, Oliver O. Aalami

ECCV 2020 Learning Visual Context by Comparison Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo

ECCV 2018 CBAM: Convolutional Block Attention Module Sanghyun Woo, Jongchan Park, Joon-Young Lee, In So Kweon