Publications

* indicates equal contribution among authors
† indicates co-corresponding authors

2026

  1. CVPR
    ORCA: Exploring Conditions for Diffusion models in Robotic Control
    Heeseong Shin, Byeongho Heo, Dongyoon Han, Seungryong Kim†, and Taekyung Kim†
    Accepted to The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
  2. CVPR
    MuCo: Multi-turn Contrastive Learning for Multimodal Embedding Model
    Geonmo Gu, Byeongho Heo, Jaemyung Yu, Jaehui Hwang, Taekyung Kim, Sangmin Lee, HeeJae Jun, Yoohoon Kang, Sangdoo Yun, and Dongyoon Han
    Accepted to The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
  3. CVPRW
    SPARK: Simple Post-training for Adapting pRetrained Knowledge to Robot Control
    Taekyung Kim, Jeongeun Park, Byeongho Heo, Sungjoon Choi, Sangdoo Yun, and Dongyoon Han
    Accepted to CVPR 2026 Workshop on Scalable Robot Learning Systems, 2026
  4. ICLR
    Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs
    Minji Kim*, Taekyung Kim*, and Bohyung Han
    Accepted to The Fourteenth International Conference on Learning Representations (ICLR), 2026
  5. ICLR
    Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation
    Min-Seop Kwak, Junho Kim, Sangdoo Yun, Dongyoon Han, Taekyung Kim, Seungryong Kim, and Jin-Hwa Kim
    Accepted to The Fourteenth International Conference on Learning Representations (ICLR), 2026
  6. ICLRW
    VisualScratchpad: Inference-time Visual Concepts Analysis in Vision Language Models
    Hyesu Lim, Jinho Choi, Taekyung Kim, Byeongho Heo, Jaegul Choo, and Dongyoon Han
    In ICLR 2026 Workshop on Principled Design for Trustworthy AI - Interpretability, Robustness, and Safety across Modalities, 2026
  7. AAAIW
    ActiveNeuS: Active 3D Reconstruction using Neural Implicit Surface Uncertainty
    Hyunseo Kim, Hyeonseo Yang, Taekyung Kim, YoonSung Kim, Jin-Hwa Kim, and Byoung-Tak Zhang
    In AAAI 2026 Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD), 2026

2025

  1. NeurIPS
    Token Bottleneck: One Token to Remember Dynamics
    Taekyung Kim, Dongyoon Han, Byeongho Heo, Jeongeun Park, and Sangdoo Yun
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
  2. CVPR
    Masking meets Supervision: A Strong Learning Alliance
    Byeongho Heo, Taekyung Kim, Sangdoo Yun, and Dongyoon Han
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2025
  3. ICLR
    Morphing Tokens Draw Strong Masked Image Models
    Taekyung Kim, Byeongho Heo, and Dongyoon Han
    In The Thirteenth International Conference on Learning Representations (ICLR), 2025

2024

  1. ECCV
    Leveraging Temporal Contextualization for Video Action Recognition
    Minji Kim, Dongyoon Han, Taekyung Kim†, and Bohyung Han†
    European Conference on Computer Vision (ECCV), 2024
  2. ECCV
    Hyperbolic Entailment Filtering for Underspecified Images and Texts
    Wonjae Kim, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, and Sangdoo Yun
    In European Conference on Computer Vision (ECCV), 2024
  3. ECCV
    Learning with Unmasked Tokens Drives Stronger Vision Learners
    Taekyung Kim, Sanghyuk Chun, Byeongho Heo, and Dongyoon Han†
    In European Conference on Computer Vision (ECCV), 2024

2023

  1. ICML
    Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
    Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, and Jin-Hwa Kim
    In Proceedings of the 40th International Conference on Machine Learning, 23–29 jul 2023
  2. CVPRW
    Neural Transformation Network To Generate Diverse Views for Contrastive Learning
    Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, and Changick Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2023
  3. ICLR
    What Do Self-Supervised Vision Transformers Learn?
    Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, and Sangdoo Yun
    In The Eleventh International Conference on Learning Representations (ICLR), 2023

2021

  1. ICCV
    Just a Few Points are All You Need for Multi-View Stereo: A Novel Semi-Supervised Learning Method for Multi-View Stereo
    Taekyung Kim, Jaehoon Choi, Seokeon Choi, Dongki Jung, and Changick Kim
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2021
  2. CVPR
    Meta Batch-Instance Normalization for Generalizable Person Re-Identification
    Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, and Changick Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2021

2020

  1. ECCV
    Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
    Taekyung Kim and Changick Kim
    In European Conference on Computer Vision (ECCV), 2020
  2. CVPR
    Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
    Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, and Changick Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2020
  3. WACV
    RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation
    Youngeun Kim, Seokeon Choi, Hankyeol Lee, Taekyung Kim, and Changick Kim
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Mar 2020

2019

  1. BMVC
    Pseudo-labeling curriculum for unsupervised domain adaptation
    Jaehoon Choi, Minki Jeong, Taekyung Kim, and Changick Kim
    In 30th British Machine Vision Conference (BMVC), 2019
  2. ICCV
    Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
    Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, and Changick Kim
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019
  3. ICCV
    Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation
    Jaehoon Choi, Taekyung Kim, and Changick Kim
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019
  4. CVPR
    Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
    Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, and Changick Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
  5. WACV
    CNN-Based Semantic Segmentation Using Level Set Loss
    Youngeun Kim, Seunghyeon Kim, Taekyung Kim, and Changick Kim
    In IEEE Winter Conference on Applications of Computer Vision (WACV), 2019