Weakly Supervised Semantic Segmentation Using Color Adjacency Loss. - Youngeun Kim; Taekyung Kim 002; Seunghyeon Kim; Changick Kim (VCIP, 2018)

Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. - Jaehoon Choi; Minki Jeong; Taekyung Kim 002; Changick Kim (BMVC, 2019)

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. - Taekyung Kim 002; Minki Jeong; Seunghyeon Kim; Seokeon Choi; Changick Kim (CVPR, 2019)

Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation. - Jaehoon Choi; Taekyung Kim 002; Changick Kim (ICCV, 2019)

Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. - Seunghyeon Kim; Jaehoon Choi; Taekyung Kim 002; Changick Kim (ICCV, 2019)

CNN-Based Semantic Segmentation Using Level Set Loss. - Youngeun Kim; Seunghyeon Kim; Taekyung Kim 002; Changick Kim (WACV, 2019)

Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. - Seokeon Choi; Sumin Lee; Youngeun Kim; Taekyung Kim 002; Changick Kim (CVPR, 2020)

Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation. - Taekyung Kim 002; Changick Kim (ECCV (14), 2020)

RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. - Youngeun Kim; Seokeon Choi; Hankyeol Lee; Taekyung Kim 002; Changick Kim (WACV, 2020)

Meta Batch-Instance Normalization for Generalizable Person Re-Identification. - Seokeon Choi; Taekyung Kim 002; Minki Jeong; Hyoungseob Park; Changick Kim (CVPR, 2021)

Just a Few Points are All You Need for Multi-view Stereo: A Novel Semi-supervised Learning Method for Multi-view Stereo. - Taekyung Kim 002; Jaehoon Choi; Seokeon Choi; Dongki Jung; Changick Kim (ICCV, 2021)

Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation. - Byeongjun Park; Taekyung Kim 002; Hyojun Go; Changick Kim (CoRR, 2021)

Neural Transformation Network to Generate Diverse Views for Contrastive Learning. - Taekyung Kim 002; Debasmit Das; Seokeon Choi; Minki Jeong; Seunghan Yang; Sungrack Yun; Changick Kim (CVPR Workshops, 2023)

What Do Self-Supervised Vision Transformers Learn? - Namuk Park; Wonjae Kim; Byeongho Heo; Taekyung Kim 002; Sangdoo Yun (ICLR, 2023)

Panoramic Image-to-Image Translation. - Soohyun Kim; Junho Kim; Taekyung Kim 002; Hwan Heo; Seungryong Kim; Jiyoung Lee; Jin-Hwa Kim (CoRR, 2023)

Augmenting Sub-model to Improve Main Model. - Byeongho Heo; Taekyung Kim 002; Sangdoo Yun; Dongyoon Han (CoRR, 2023)

Longer-range Contextualized Masked Autoencoder. - Taekyung Kim 002; Sanghyuk Chun; Byeongho Heo; Dongyoon Han (CoRR, 2023)

Learning with Unmasked Tokens Drives Stronger Vision Learners. - Taekyung Kim 002; Sanghyuk Chun; Byeongho Heo; Dongyoon Han (ECCV (34), 2024)

HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. - Wonjae Kim; Sanghyuk Chun; Taekyung Kim 002; Dongyoon Han; Sangdoo Yun (ECCV (40), 2024)

Leveraging Temporal Contextualization for Video Action Recognition. - Minji Kim 002; Dongyoon Han; Taekyung Kim 002; Bohyung Han (ECCV (21), 2024)

Masked Image Modeling via Dynamic Token Morphing. - Taekyung Kim 002; Dongyoon Han; Byeongho Heo (CoRR, 2024)

ActiveNeuS: Active 3D Reconstruction using Neural Implicit Surface Uncertainty. - Hyunseo Kim 001; Hyeonseo Yang; Taekyung Kim 002; Yoonsung Kim; Jin-Hwa Kim; Byoung-Tak Zhang (CoRR, 2024)

Masking meets Supervision: A Strong Learning Alliance. - Byeongho Heo; Taekyung Kim 002; Sangdoo Yun; Dongyoon Han (CVPR, 2025)

Morphing Tokens Draw Strong Masked Image Models. - Taekyung Kim 002; Byeongho Heo; Dongyoon Han (ICLR, 2025)

Token Bottleneck: One Token to Remember Dynamics. - Taekyung Kim 002; Dongyoon Han; Byeongho Heo; Jeongeun Park; Sangdoo Yun (CoRR, 2025)