Kim, Dahun

23 publications

WACV 2025 Learning Visual Grounding from Generative Vision and Language Model Shijie Wang, Dahun Kim, Ali Taalimi, Chen Sun, Weicheng Kuo

CVPR 2025 VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models Dahun Kim, Aj Piergiovanni, Ganesh Mallya, Anelia Angelova

CVPR 2024 Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities Aj Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova

ECCV 2024 Region-Centric Image-Language Pretraining for Open-Vocabulary Detection Dahun Kim, Anelia Angelova, Weicheng Kuo

WACV 2024 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

ICCV 2023 Contrastive Feature Masking Open-Vocabulary Vision Transformer Dahun Kim, Anelia Angelova, Weicheng Kuo

TMLR 2023 MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks Weicheng Kuo, Aj Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova

ICLR 2023 Neural Image-Based Avatars: Generalizable Radiance Fields for Human Avatar Modeling YoungJoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs

TMLR 2023 RECLIP: Resource-Efficient CLIP by Training with Small Images Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo

CVPR 2023 Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers Dahun Kim, Anelia Angelova, Weicheng Kuo

CVPR 2022 CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell Collins, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen

WACV 2022 Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Viswanathan Swaminathan, Henry Fuchs

CVPR 2022 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

CVPR 2021 Learning to Associate Every Segment for Video Panoptic Segmentation Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon

NeurIPS 2021 Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs

WACV 2021 The Devil Is in the Boundary: Exploiting Boundary Representation for Basis-Based Instance Segmentation Myungchul Kim, Sanghyun Woo, Dahun Kim, In So Kweon

AAAI 2020 Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon

ECCV 2020 Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Viswanathan Swaminathan, Henry Fuchs

AAAI 2019 Discriminative Feature Learning for Unsupervised Video Summarization Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon

AAAI 2019 Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles Dahun Kim, Donghyeon Cho, In So Kweon

WACV 2018 Learning Image Representations by Completing Damaged Jigsaw Puzzles Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon

NeurIPS 2018 LinkNet: Relational Embedding for Scene Graph Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon

ICCV 2017 Two-Phase Learning for Weakly Supervised Object Localization Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon