Wonmin Byeon

70 papers A* 14A 2B 2Journal 37Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting.
CoRR
Jean Kossaifi, Nikola B. Kovachki, Morteza Mardani, Daniel V. Leibovici, Suman Ravuri, Ira Shokar, Edoardo Calvello, Mohammad Shoaib Abbas, Peter Harrington, Ashay Subramaniam, Noah D. Brenowitz, Boris Bonev, Wonmin Byeon, Karsten Kreis, Dale R. Durran, Arash Vahdat, Mike Pritchard, Jan Kautz
2026 J jnl
Stateful Token Reduction for Long-Video Hybrid VLMs.
CoRR
Jindong Jiang, Amala Sanjay Deshmukh, Kateryna Chumachenko, Karan Sapra, Zhiding Yu, Guilin Liu, Andrew Tao, Pavlo Molchanov, Jan Kautz, Wonmin Byeon
2025 J jnl
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models.
CoRR
Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Tuomas Rintamaki, Tyler Poon, Max Ehrlich, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu
2025 J jnl
Feature-based Graph Attention Networks Improve Online Continual Learning.
CoRR
Adjovi Sim, Zhengkui Wang, Aik Beng Ng, Shalini De Mello, Simon See, Wonmin Byeon
2025 J jnl
GSPN-2: Efficient Parallel Sequence Modeling.
CoRR
Hongjun Wang, Yitong Jiang, Collin McCarthy, David Wehr, Hanrong Ye, Xinhao Li, Ka Chun Cheung, Wonmin Byeon, Jinwei Gu, Ke Chen, Kai Han, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Sifei Liu
2025 A* conf
Hymba: A Hybrid-head Architecture for Small Language Models.
ICLR
Xin Dong, Yonggan Fu, Shizhe Diao, Wonmin Byeon, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Shih-Yang Liu, Matthijs Van Keirsbilck, Min-Hung Chen, Yoshi Suhara, Yingyan Celine Lin, Jan Kautz, Pavlo Molchanov
2025 — conf
Learning without Forgetting Attention Scores - Attention Score Distillation for Online Continual Learning.
ICCSIT
Adjovi Sim, Zhengkui Wang, Aik Beng Ng, Simon See, Wonmin Byeon
2025 J jnl
M
CoRR
Hyeongcheol Park, Jiyoung Seo, Jaewon Mun, Hogun Park, Wonmin Byeon, Sung June Kim, Hyeonsoo Im, JeungSub Lee, Sangpil Kim
2025 J jnl
Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models.
CoRR
Yonggan Fu, Xin Dong, Shizhe Diao, Matthijs Van Keirsbilck, Hanrong Ye, Wonmin Byeon, Yashaswi Karnati, Lucas Liebenwein, Hannah Zhang, Nikolaus Binder, Maksim Khadkevich, Alexander Keller, Jan Kautz, Yingyan (Celine) Lin, Pavlo Molchanov
2025 A* conf
Parallel Sequence Modeling via Generalized Spatial Propagation Network.
CVPR
Hongjun Wang, Wonmin Byeon, Jiarui Xu, Jinwei Gu, Ka Chun Cheung, Xiaolong Wang, Kai Han, Jan Kautz, Sifei Liu
2025 J jnl
Parallel Sequence Modeling via Generalized Spatial Propagation Network.
CoRR
Hongjun Wang, Wonmin Byeon, Jiarui Xu, Jinwei Gu, Ka Chun Cheung, Xiaolong Wang, Kai Han, Jan Kautz, Sifei Liu
2025 — conf
STORM: Token-Efficient Long Video Understanding for Multimodal LLMs.
ICCVW
Jindong Jiang, Xiuyu Li, Zhijian Liu, Muyang Li, Guo Chen, Zhiqi Li, De-An Huang, Guilin Liu, Zhiding Yu, Kurt Keutzer, Sungjin Ahn, Jan Kautz, Hongxu Yin, Yao Lu, Song Han, Wonmin Byeon
2025 J jnl
Token-Efficient Long Video Understanding for Multimodal LLMs.
CoRR
Jindong Jiang, Xiuyu Li, Zhijian Liu, Muyang Li, Guo Chen, Zhiqi Li, De-An Huang, Guilin Liu, Zhiding Yu, Kurt Keutzer, Sungjin Ahn, Jan Kautz, Hongxu Yin, Yao Lu, Song Han, Wonmin Byeon
2024 J jnl
An Empirical Study of Mamba-based Language Models.
CoRR
Roger Waleffe, Wonmin Byeon, Duncan Riach, Brandon Norick, Vijay Korthikanti, Tri Dao, Albert Gu, Ali Hatamizadeh, Sudhakar Singh, Deepak Narayanan, Garvit Kulshreshtha, Vartika Singh, Jared Casper, Jan Kautz, Mohammad Shoeybi, Bryan Catanzaro
2024 J jnl
Audio-guided implicit neural representation for local image stylization.
Comput. Vis. Media
Seung Hyun Lee, Sieun Kim, Wonmin Byeon, Gyeongrok Oh, Sumin In, Hyeongcheol Park, Sang Ho Yoon, Sung-Hee Hong, Jinkyu Kim, Sangpil Kim
2024 J jnl
Hymba: A Hybrid-head Architecture for Small Language Models.
CoRR
Xin Dong, Yonggan Fu, Shizhe Diao, Wonmin Byeon, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Shih-Yang Liu, Matthijs Van Keirsbilck, Min-Hung Chen, Yoshi Suhara, Yingyan Lin, Jan Kautz, Pavlo Molchanov
2024 — conf
MEVG: Multi-event Video Generation with Text-to-Video Models.
ECCV (43)
Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Sangpil Kim
2024 A* conf
RegionGPT: Towards Region Understanding Vision Language Model.
CVPR
Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu
2024 J jnl
RegionGPT: Towards Region Understanding Vision Language Model.
CoRR
Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu
2024 J jnl
Robust sound-guided image manipulation.
Neural Networks
Seung Hyun Lee, Hyung-Gun Chi, Gyeongrok Oh, Wonmin Byeon, Sang Ho Yoon, Hyunje Park, Wonjun Cho, Jinkyu Kim, Sangpil Kim
2023 A* conf
Convolutional State Space Models for Long-Range Spatiotemporal Modeling.
NeurIPS
Jimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott W. Linderman, Wonmin Byeon
2023 J jnl
Convolutional State Space Models for Long-Range Spatiotemporal Modeling.
CoRR
Jimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott W. Linderman, Wonmin Byeon
2023 A* conf
Heterogeneous Continual Learning.
CVPR
Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov
2023 J jnl
Heterogeneous Continual Learning.
CoRR
Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov
2023 J jnl
MTVG : Multi-text Video Generation with Text-to-Video Models.
CoRR
Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Hyeokmin Kwon, Sangpil Kim
2023 A* conf
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models.
CVPR
Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello
2023 J jnl
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models.
CoRR
Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello
2023 A* conf
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion.
ICCV
Yujin Jeong, Wonjeong Ryoo, Seunghyun Lee, Dabin Seo, Wonmin Byeon, Sangpil Kim, Jinkyu Kim
2023 J jnl
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion.
CoRR
Yujin Jeong, Wonjeong Ryoo, Seunghyun Lee, Dabin Seo, Wonmin Byeon, Sangpil Kim, Jinkyu Kim
2022 J jnl
Displacement-Invariant Cost Computation for Stereo Matching.
Int. J. Comput. Vis.
Yiran Zhong, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz
2022 A* conf
GroupViT: Semantic Segmentation Emerges from Text Supervision.
CVPR
Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang
2022 J jnl
GroupViT: Semantic Segmentation Emerges from Text Supervision.
CoRR
Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang
2022 J jnl
LISA: Localized Image Stylization with Audio via Implicit Neural Representation.
CoRR
Seung Hyun Lee, Chanyoung Kim, Wonmin Byeon, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim
2022 — conf
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations.
ICCS (1)
Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon
2022 J jnl
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations.
CoRR
Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon
2022 J jnl
Robust Sound-Guided Image Manipulation.
CoRR
Seung Hyun Lee, Chanyoung Kim, Wonmin Byeon, Gyeongrok Oh, Jooyoung Lee, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim
2022 A* conf
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework.
ICML
Jiahao Su, Wonmin Byeon, Furong Huang
2022 A* conf
Sound-Guided Semantic Image Manipulation.
CVPR
Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chanyoung Kim, Jinkyu Kim, Sangpil Kim
2022 — conf
Sound-Guided Semantic Video Generation.
ECCV (17)
Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon, Chanyoung Kim, Won Jeong Ryoo, Sang Ho Yoon, Hyunjun Cho, Jihyun Bae, Jinkyu Kim, Sangpil Kim
2022 J jnl
Sound-Guided Semantic Video Generation.
CoRR
Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon, Jihyun Bae, Chanyoung Kim, Won Jeong Ryoo, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim
2021 A* conf
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation.
NeurIPS
Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas M. Breuel, Anima Anandkumar, Jan Kautz
2021 — conf
NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework.
ICCS (5)
Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Zhiwei Fang, Max Rietmann, Wonmin Byeon, Sanjay Choudhry
2021 J jnl
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework.
CoRR
Jiahao Su, Wonmin Byeon, Furong Huang
2021 J jnl
Sound-Guided Semantic Image Manipulation.
CoRR
Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chanyoung Kim, Jinkyu Kim, Sangpil Kim
2021 A* conf
Weakly-Supervised Physically Unconstrained Gaze Estimation.
CVPR
Rakshit Sunil Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz
2021 J jnl
Weakly-Supervised Physically Unconstrained Gaze Estimation.
CoRR
Rakshit Sunil Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz
2020 A* conf
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning.
NeurIPS
Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar
2020 J jnl
Convolutional Tensor-Train LSTM for Spatio-temporal Learning.
CoRR
Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar
2020 J jnl
Displacement-Invariant Cost Computation for Efficient Stereo Matching.
CoRR
Yiran Zhong, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz
2020 J jnl
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework.
CoRR
Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Max Rietmann, José del Águila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry
2019 J jnl
Automated identification and deep classification of cut marks on bones and its paleoanthropological implications.
J. Comput. Sci.
Wonmin Byeon, Manuel Domínguez-Rodrigo, Georgios Arampatzis, Enrique Baquedano, José Yravedra, Miguel Ángel Maté-González, Petros Koumoutsakos
2019 J jnl
Boosting segmentation with weak supervision from image-to-image translation.
CoRR
Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz
2018 — conf
ContextVP: Fully Context-Aware Video Prediction.
CVPR Workshops
Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
2018 — conf
ContextVP: Fully Context-Aware Video Prediction.
ECCV (16)
Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
2018 J jnl
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks.
CoRR
Pantelis-Rafail Vlachas, Wonmin Byeon, Zhong Yi Wan, Themistoklis P. Sapsis, Petros Koumoutsakos
2017 J jnl
Fully Context-Aware Video Prediction.
CoRR
Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
2016 — —
Image Analysis with Long Short-Term Memory Recurrent Neural Networks.
Wonmin Byeon
2016 — conf
Symbolic Association Using Parallel Multilayer Perceptron.
ICANN (2)
Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki
2015 — conf
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation.
NIPS
Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber
2015 J jnl
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation.
CoRR
Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber
2015 A conf
Parallel sequence classification using recurrent neural networks and alignment.
ICDAR
Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki
2015 J jnl
Scene analysis by mid-level attribute learning using 2D LSTM networks and an application to web-image tagging.
Pattern Recognit. Lett.
Wonmin Byeon, Marcus Liwicki, Thomas M. Breuel
2015 A* conf
Scene labeling with LSTM recurrent neural networks.
CVPR
Wonmin Byeon, Thomas M. Breuel, Federico Raue, Marcus Liwicki
2015 — conf
Symbol Grounding in Multimodal Sequences using Recurrent Neural Networks.
CoCo@NIPS
Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki
2014 B conf
Supervised texture segmentation using 2D LSTM networks.
ICIP
Wonmin Byeon, Thomas M. Breuel
2014 B conf
Texture Classification Using 2D LSTM Networks.
ICPR
Wonmin Byeon, Marcus Liwicki, Thomas M. Breuel
2013 A conf
Object Recognition in Multi-View Dual Energy X-ray Images.
BMVC
Muhammet Bastan, Wonmin Byeon, Thomas M. Breuel
2013 — conf
On the Detection and Matching of Structures on Less-textured Scenes.
VISAPP (1)
Wan-Lei Zhao, Wonmin Byeon, Thomas M. Breuel
2013 — conf
Towards Searchable Line Drawings, a Content-Based Symbol Retrieval Approach with Variable Query Complexity.
GREC
Nibal Nayef, Wonmin Byeon, Thomas M. Breuel
2009 — conf
Face Recognition Using Region-Based Nonnegative Matrix Factorization.
FGIT-FGCN
Wonmin Byeon, Moongu Jeon