Dahun Kim

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 61

Top Topics

Temporal Consistency

Temporal Aggregation

Top Venues

Publications

Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. WACV (2024)
Yuanhuiyi Lyu, Xu Zheng, Dahun Kim, Lin Wang
OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All. CoRR (2024)
Ji-Yeon Kim, Oh Hyun-Bin, Byung-Ki Kwon, Dahun Kim, Yongjin Kwon, Tae-Hyun Oh
Uni-DVPS: Unified Model for Depth-Aware Video Panoptic Segmentation. IEEE Robotics Autom. Lett. 9 (7) (2024)
Shijie Wang, Dahun Kim, Ali Taalimi, Chen Sun, Weicheng Kuo
Learning Visual Grounding from Generative Vision and Language Model. CoRR (2024)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection. CoRR (2023)
Minsu Kim, Jeongsoo Choi, Dahun Kim, Yong Man Ro
Many-to-Many Spoken Language Translation via Unified Speech and Text Representation Learning with Unit-to-Unit Translation. CoRR (2023)
Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo
RECLIP: Resource-efficient CLIP by Training with Small Images. CoRR (2023)
Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling. CoRR (2023)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CVPR (2023)
Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. CoRR (2023)
Weicheng Kuo, A. J. Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit S. Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. Trans. Mach. Learn. Res. 2023 (2023)
Philkyue Shin, Dahun Kim, Seongsoo Hong
Memory-Aware DVFS Governing Policy for Improved Energy-Saving in the Linux Kernel. RTCSA (2023)
Weicheng Kuo, AJ Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit S. Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. CoRR (2023)
Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling. ICLR (2023)
A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova
Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities. CoRR (2023)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CoRR (2023)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Contrastive Feature Masking Open-Vocabulary Vision Transformer. CoRR (2023)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Contrastive Feature Masking Open-Vocabulary Vision Transformer. ICCV (2023)
Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo
RECLIP: Resource-efficient CLIP by Training with Small Images. Trans. Mach. Learn. Res. 2023 (2023)
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CVPR (2022)
Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Viswanathan Swaminathan, Henry Fuchs
Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation. WACV (2022)
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
Dense Pixel-Level Interpretation of Dynamic Scenes With Video Panoptic Segmentation. IEEE Trans. Image Process. 31 (2022)
Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
Learning Open-World Object Proposals Without Learning to Classify. IEEE Robotics Autom. Lett. 7 (2) (2022)
Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In-So Kweon, Liang-Chieh Chen
TubeFormer-DeepLab: Video Mask Transformer. CoRR (2022)
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CoRR (2022)
Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In So Kweon, Liang-Chieh Chen
TubeFormer-DeepLab: Video Mask Transformer. CVPR (2022)
Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen
DeepLab2: A TensorFlow Library for Deep Labeling. CoRR (2021)
Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
Learning Open-World Object Proposals without Learning to Classify. CoRR (2021)
Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon
Learning To Associate Every Segment for Video Panoptic Segmentation. CVPR (2021)
Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering. NeurIPS (2021)
Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon
Global Context and Geometric Priors for Effective Non-Local Self-Attention. BMVC (2021)
Myungchul Kim, Sanghyun Woo, Dahun Kim, In So Kweon
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation. WACV (2021)
Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering. CoRR (2021)
Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon
Learning to Associate Every Segment for Video Panoptic Segmentation. CoRR (2021)
Myungchul Kim, Sanghyun Woo, Dahun Kim, In So Kweon
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation. CoRR (2020)
Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Viswanathan Swaminathan, Henry Fuchs
Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video. ECCV (4) (2020)
Sanghyun Woo, Dahun Kim, KwanYong Park, Joon-Young Lee, In So Kweon
Align-and-Attend Network for Globally and Locally Coherent Video Inpainting. BMVC (2020)
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
Recurrent Temporal Aggregation Framework for Deep Video Inpainting. IEEE Trans. Pattern Anal. Mach. Intell. 42 (5) (2020)
Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling. CoRR (2020)
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
Video Panoptic Segmentation. CVPR (2020)
Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling. AAAI (2020)
Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Henry Fuchs, Viswanathan Swaminathan
Rotationally-Consistent Novel View Synthesis for Humans. ACM Multimedia (2020)
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
Video Panoptic Segmentation. CoRR (2020)
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
Deep Video Inpainting. CVPR (2019)
KwanYong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation. CoRR (2019)
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence. CoRR (2019)
Sanghyun Woo, Dahun Kim, KwanYong Park, Joon-Young Lee, In So Kweon
Align-and-Attend Network for Globally and Locally Coherent Video Inpainting. CoRR (2019)
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
Deep Video Inpainting. CoRR (2019)
KwanYong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation. ACM Multimedia (2019)
Donghyeon Cho, Yunjae Jung, François Rameau, Dahun Kim, Sanghyun Woo, In So Kweon
Video Retargeting: Trade-off between Content Preservation and Spatio-temporal Consistency. ACM Multimedia (2019)
Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon
Discriminative Feature Learning for Unsupervised Video Summarization. AAAI (2019)
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence. CVPR (2019)
Dahun Kim, Donghyeon Cho, In So Kweon
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. AAAI (2019)
Dahun Kim, Donghyeon Cho, In So Kweon
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. CoRR (2018)
Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
LinkNet: Relational Embedding for Scene Graph. CoRR (2018)
Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
Learning Image Representations by Completing Damaged Jigsaw Puzzles. CoRR (2018)
Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
LinkNet: Relational Embedding for Scene Graph. NeurIPS (2018)
Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon
Discriminative Feature Learning for Unsupervised Video Summarization. CoRR (2018)
Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
Learning Image Representations by Completing Damaged Jigsaw Puzzles. WACV (2018)
Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
Two-Phase Learning for Weakly Supervised Object Localization. CoRR (2017)
Dahun Kim, Donghyeon Cho, Donggeun Yoo
Two-Phase Learning for Weakly Supervised Object Localization. ICCV (2017)