Dahun Kim

According to our database, Dahun Kim authored at least 36 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

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

CoRR, 2023

Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection.

Dahun Kim, Anelia Angelova, Weicheng Kuo

CoRR, 2023

Many-to-Many Spoken Language Translation via Unified Speech and Text Representation Learning with Unit-to-Unit Translation.

Minsu Kim, Jeongsoo Choi, Dahun Kim, Yong Man Ro

CoRR, 2023

RECLIP: Resource-efficient CLIP by Training with Small Images.

Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo

CoRR, 2023

MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks.

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

CoRR, 2023

Memory-Aware DVFS Governing Policy for Improved Energy-Saving in the Linux Kernel.

Philkyue Shin, Dahun Kim, Seongsoo Hong

Proceedings of the 29th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2023

Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling.

Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Contrastive Feature Masking Open-Vocabulary Vision Transformer.

Dahun Kim, Anelia Angelova, Weicheng Kuo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers.

Dahun Kim, Anelia Angelova, Weicheng Kuo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Dense Pixel-Level Interpretation of Dynamic Scenes With Video Panoptic Segmentation.

Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon

IEEE Trans. Image Process., 2022

Learning Open-World Object Proposals Without Learning to Classify.

Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo

IEEE Robotics Autom. Lett., 2022

Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation.

Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Viswanathan Swaminathan, Henry Fuchs

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DeepLab2: A TensorFlow Library for Deep Labeling.

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

CoRR, 2021

The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation.

Myungchul Kim, Sanghyun Woo, Dahun Kim, In So Kweon

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering.

Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning To Associate Every Segment for Video Panoptic Segmentation.

Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Global Context and Geometric Priors for Effective Non-Local Self-Attention.

Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Recurrent Temporal Aggregation Framework for Deep Video Inpainting.

Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Rotationally-Consistent Novel View Synthesis for Humans.

Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Henry Fuchs, Viswanathan Swaminathan

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 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

Proceedings of the Computer Vision - ECCV 2020, 2020

Video Panoptic Segmentation.

Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Align-and-Attend Network for Globally and Locally Coherent Video Inpainting.

Sanghyun Woo, Dahun Kim, KwanYong Park, Joon-Young Lee, In So Kweon

Proceedings of the 31st British Machine Vision Conference 2020, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation.

KwanYong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Video Retargeting: Trade-off between Content Preservation and Spatio-temporal Consistency.

Donghyeon Cho, Yunjae Jung, François Rameau, Dahun Kim, Sanghyun Woo, In So Kweon

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Deep Video Inpainting.

Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence.

Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles.

Dahun Kim, Donghyeon Cho, In So Kweon

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Discriminative Feature Learning for Unsupervised Video Summarization.

Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning Image Representations by Completing Damaged Jigsaw Puzzles.

Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

LinkNet: Relational Embedding for Scene Graph.

Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Two-Phase Learning for Weakly Supervised Object Localization.

Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon

CoRR, 2017

Two-Phase Learning for Weakly Supervised Object Localization.

Dahun Kim, Donghyeon Cho, Donggeun Yoo

Proceedings of the IEEE International Conference on Computer Vision, 2017