| 2025 | CVPR | VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models. | Dahun Kim, A. J. Piergiovanni, Ganesh Satish Mallya, Anelia Angelova |
| 2025 | WACV | Learning Visual Grounding from Generative Vision and Language Model. | Shijie Wang, Dahun Kim, Ali Taalimi, Chen Sun, Weicheng Kuo |
| 2024 | CVPR | Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities. | A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova |
| 2024 | ECCV | Region-Centric Image-Language Pretraining for Open-Vocabulary Detection. | Dahun Kim, Anelia Angelova, Weicheng Kuo |
| 2024 | WACV | Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. | Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen |
| 2023 | CVPR | Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. | Dahun Kim, Anelia Angelova, Weicheng Kuo |
| 2023 | ICCV | Contrastive Feature Masking Open-Vocabulary Vision Transformer. | Dahun Kim, Anelia Angelova, Weicheng Kuo |
| 2023 | ICLR | Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling. | Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs |
| 2023 | RTCSA | Memory-Aware DVFS Governing Policy for Improved Energy-Saving in the Linux Kernel. | Philkyue Shin, Dahun Kim, Seongsoo Hong |
| 2022 | CVPR | TubeFormer-DeepLab: Video Mask Transformer. | Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In So Kweon, Liang-Chieh Chen |
| 2022 | CVPR | CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. | Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2022 | WACV | Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation. | Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Viswanathan Swaminathan, Henry Fuchs |
| 2021 | BMVC | Global Context and Geometric Priors for Effective Non-Local Self-Attention. | Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon |
| 2021 | CVPR | Learning To Associate Every Segment for Video Panoptic Segmentation. | Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon |
| 2021 | WACV | The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation. | Myungchul Kim, Sanghyun Woo, Dahun Kim, In So Kweon |
| 2020 | AAAI | Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling. | Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon |
| 2020 | BMVC | Align-and-Attend Network for Globally and Locally Coherent Video Inpainting. | Sanghyun Woo, Dahun Kim, KwanYong Park, Joon-Young Lee, In So Kweon |
| 2020 | CVPR | Video Panoptic Segmentation. | Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon |
| 2020 | ECCV | Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video. | Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Viswanathan Swaminathan, Henry Fuchs |
| 2019 | AAAI | Discriminative Feature Learning for Unsupervised Video Summarization. | Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon |
| 2019 | AAAI | Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. | Dahun Kim, Donghyeon Cho, In So Kweon |
| 2019 | CVPR | Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence. | Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon |
| 2019 | CVPR | Deep Video Inpainting. | Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon |
| 2018 | WACV | Learning Image Representations by Completing Damaged Jigsaw Puzzles. | Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon |
| 2017 | ICCV | Two-Phase Learning for Weakly Supervised Object Localization. | Dahun Kim, Donghyeon Cho, Donggeun Yoo |