Wonmin Byeon

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 46

Top Venues

University of Kaiserslautern (PHD)

Education History

University of Kaiserslautern

PHD

Publications

Seung Hyun Lee, Hyung-Gun Chi, Gyeongrok Oh, Wonmin Byeon, Sang Ho Yoon, Hyunje Park, Wonjun Cho, Jinkyu Kim, Sangpil Kim
Robust sound-guided image manipulation. Neural Networks 175 (2024)
Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu
RegionGPT: Towards Region Understanding Vision Language Model. CoRR (2024)
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
An Empirical Study of Mamba-based Language Models. CoRR (2024)
Yujin Jeong, Wonjeong Ryoo, Seunghyun Lee, Dabin Seo, Wonmin Byeon, Sangpil Kim, Jinkyu Kim
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion. ICCV (2023)
Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models. CVPR (2023)
Jimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott W. Linderman, Wonmin Byeon
Convolutional State Space Models for Long-Range Spatiotemporal Modeling. NeurIPS (2023)
Jimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott W. Linderman, Wonmin Byeon
Convolutional State Space Models for Long-Range Spatiotemporal Modeling. CoRR (2023)
Yujin Jeong, Wonjeong Ryoo, Seunghyun Lee, Dabin Seo, Wonmin Byeon, Sangpil Kim, Jinkyu Kim
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion. CoRR (2023)
Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov
Heterogeneous Continual Learning. CVPR (2023)
Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models. CoRR (2023)
Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Hyeokmin Kwon, Sangpil Kim
MTVG : Multi-text Video Generation with Text-to-Video Models. CoRR (2023)
Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov
Heterogeneous Continual Learning. CoRR (2023)
Seung Hyun Lee, Chan Young Kim, Wonmin Byeon, Gyeongrok Oh, Jooyoung Lee, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim
Robust Sound-Guided Image Manipulation. CoRR (2022)
Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chan Young Kim, Jinkyu Kim, Sangpil Kim
Sound-Guided Semantic Image Manipulation. CVPR (2022)
Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang
GroupViT: Semantic Segmentation Emerges from Text Supervision. CoRR (2022)
Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon, Chan Young Kim, Won Jeong Ryoo, Sang Ho Yoon, Hyunjun Cho, Jihyun Bae, Jinkyu Kim, Sangpil Kim
Sound-Guided Semantic Video Generation. ECCV (17) (2022)
Seung Hyun Lee, Chan Young Kim, Wonmin Byeon, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim
LISA: Localized Image Stylization with Audio via Implicit Neural Representation. CoRR (2022)
Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang
GroupViT: Semantic Segmentation Emerges from Text Supervision. CVPR (2022)
Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations. ICCS (1) (2022)
Jiahao Su, Wonmin Byeon, Furong Huang
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework. ICML (2022)
Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon, Jihyun Bae, Chan Young Kim, Won Jeong Ryoo, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim
Sound-Guided Semantic Video Generation. CoRR (2022)
Yiran Zhong, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz
Displacement-Invariant Cost Computation for Stereo Matching. Int. J. Comput. Vis. 130 (5) (2022)
Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations. CoRR (2022)
Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chan Young Kim, Jinkyu Kim, Sangpil Kim
Sound-Guided Semantic Image Manipulation. CoRR (2021)
Rakshit Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz
Weakly-Supervised Physically Unconstrained Gaze Estimation. CoRR (2021)
Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas M. Breuel, Anima Anandkumar, Jan Kautz
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation. NeurIPS (2021)
Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Zhiwei Fang, Max Rietmann, Wonmin Byeon, Sanjay Choudhry
NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework. ICCS (5) (2021)
Rakshit Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz
Weakly-Supervised Physically Unconstrained Gaze Estimation. CVPR (2021)
Jiahao Su, Wonmin Byeon, Furong Huang
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework. CoRR (2021)
Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning. NeurIPS (2020)
Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar
Convolutional Tensor-Train LSTM for Spatio-temporal Learning. CoRR (2020)
Yiran Zhong, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz
Displacement-Invariant Cost Computation for Efficient Stereo Matching. CoRR (2020)
Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Max Rietmann, José del Águila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework. CoRR (2020)
Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz
Boosting segmentation with weak supervision from image-to-image translation. CoRR (2019)
Wonmin Byeon, Manuel Domínguez-Rodrigo, Georgios Arampatzis, Enrique Baquedano, José Yravedra, Miguel Ángel Maté-González, Petros Koumoutsakos
Automated identification and deep classification of cut marks on bones and its paleoanthropological implications. J. Comput. Sci. 32 (2019)
Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
ContextVP: Fully Context-Aware Video Prediction. ECCV (16) (2018)
Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
ContextVP: Fully Context-Aware Video Prediction. CVPR Workshops (2018)
Pantelis R. Vlachas, Wonmin Byeon, Zhong Y. Wan, Themistoklis P. Sapsis, Petros Koumoutsakos
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks. CoRR (2018)
Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
Fully Context-Aware Video Prediction. CoRR (2017)
Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki
Symbolic Association Using Parallel Multilayer Perceptron. ICANN (2) (2016)
Wonmin Byeon, Thomas M. Breuel, Federico Raue, Marcus Liwicki
Scene labeling with LSTM recurrent neural networks. CVPR (2015)
Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki
Parallel sequence classification using recurrent neural networks and alignment. ICDAR (2015)
Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation. CoRR (2015)
Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki
Symbol Grounding in Multimodal Sequences using Recurrent Neural Networks. CoCo@NIPS (2015)
Wonmin Byeon, Marcus Liwicki, Thomas M. Breuel
Scene analysis by mid-level attribute learning using 2D LSTM networks and an application to web-image tagging. Pattern Recognit. Lett. 63 (2015)
Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation. NIPS (2015)
Wonmin Byeon, Thomas M. Breuel
Supervised texture segmentation using 2D LSTM networks. ICIP (2014)
Wonmin Byeon, Marcus Liwicki, Thomas M. Breuel
Texture Classification Using 2D LSTM Networks. ICPR (2014)
Nibal Nayef, Wonmin Byeon, Thomas M. Breuel
Towards Searchable Line Drawings, a Content-Based Symbol Retrieval Approach with Variable Query Complexity. GREC (2013)
Wan-Lei Zhao, Wonmin Byeon, Thomas M. Breuel
On the Detection and Matching of Structures on Less-textured Scenes. VISAPP (1) (2013)
Muhammet Bastan, Wonmin Byeon, Thomas M. Breuel
Object Recognition in Multi-View Dual Energy X-ray Images. BMVC (2013)
Wonmin Byeon, Moongu Jeon
Face Recognition Using Region-Based Nonnegative Matrix Factorization. FGIT-FGCN (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wonmin Byeon