Wonmin Byeon

According to our database, Wonmin Byeon authored at least 46 papers between 2009 and 2024.

Collaborative distances:

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

2024

Audio-guided implicit neural representation for local image stylization.

Seung Hyun Lee, Sieun Kim, Wonmin Byeon, Gyeongrok Oh, Sumin In, Hyeongcheol Park, Sang Ho Yoon, Sung-Hee Hong, Jinkyu Kim, Sangpil Kim

Comput. Vis. Media, December, 2024

Robust sound-guided image manipulation.

Seung Hyun Lee, Hyung-Gun Chi, Gyeongrok Oh, Wonmin Byeon, Sang Ho Yoon, Hyunje Park, Wonjun Cho, Jinkyu Kim, Sangpil Kim

Neural Networks, 2024

Hymba: A Hybrid-head Architecture for Small Language Models.

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

CoRR, 2024

An Empirical Study of Mamba-based Language Models.

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

CoRR, 2024

MEVG: Multi-event Video Generation with Text-to-Video Models.

Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Sangpil Kim

Proceedings of the Computer Vision - ECCV 2024, 2024

RegionGPT: Towards Region Understanding Vision Language Model.

Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MTVG : Multi-text Video Generation with Text-to-Video Models.

Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Hyeokmin Kwon, Sangpil Kim

CoRR, 2023

Convolutional State Space Models for Long-Range Spatiotemporal Modeling.

Jimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott W. Linderman, Wonmin Byeon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion.

Yujin Jeong, Wonjeong Ryoo, Seunghyun Lee, Dabin Seo, Wonmin Byeon, Sangpil Kim, Jinkyu Kim

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

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models.

Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello

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

Heterogeneous Continual Learning.

Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov

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

2022

Displacement-Invariant Cost Computation for Stereo Matching.

Yiran Zhong, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz

Int. J. Comput. Vis., 2022

LISA: Localized Image Stylization with Audio via Implicit Neural Representation.

Seung Hyun Lee, Chanyoung Kim, Wonmin Byeon, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim

CoRR, 2022

Robust Sound-Guided Image Manipulation.

Seung Hyun Lee, Chanyoung Kim, Wonmin Byeon, Gyeongrok Oh, Jooyoung Lee, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim

CoRR, 2022

Sound-Guided Semantic Video Generation.

Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon, Jihyun Bae, Chanyoung Kim, Won Jeong Ryoo, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim

CoRR, 2022

Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework.

Jiahao Su, Wonmin Byeon, Furong Huang

Proceedings of the International Conference on Machine Learning, 2022

Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations.

Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon

Proceedings of the Computational Science - ICCS 2022, 2022

Sound-Guided Semantic Video Generation.

Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon, Chanyoung Kim, Won Jeong Ryoo, Sang Ho Yoon, Hyunjun Cho, Jihyun Bae, Jinkyu Kim, Sangpil Kim

Proceedings of the Computer Vision - ECCV 2022, 2022

GroupViT: Semantic Segmentation Emerges from Text Supervision.

Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang

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

Sound-Guided Semantic Image Manipulation.

Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chanyoung Kim, Jinkyu Kim, Sangpil Kim

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

2021

Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework.

Jiahao Su, Wonmin Byeon, Furong Huang

CoRR, 2021

Coupled Segmentation and Edge Learning via Dynamic Graph Propagation.

Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas M. Breuel, Anima Anandkumar, Jan Kautz

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

NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework.

Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Zhiwei Fang, Max Rietmann, Wonmin Byeon, Sanjay Choudhry

Proceedings of the Computational Science - ICCS 2021, 2021

Weakly-Supervised Physically Unconstrained Gaze Estimation.

Rakshit Sunil Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz

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

2020

NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework.

Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Max Rietmann, José del Águila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry

CoRR, 2020

Displacement-Invariant Cost Computation for Efficient Stereo Matching.

Yiran Zhong, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz

CoRR, 2020

Convolutional Tensor-Train LSTM for Spatio-temporal Learning.

Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar

CoRR, 2020

Convolutional Tensor-Train LSTM for Spatio-Temporal Learning.

Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Automated identification and deep classification of cut marks on bones and its paleoanthropological implications.

Wonmin Byeon, Manuel Domínguez-Rodrigo, Georgios Arampatzis, Enrique Baquedano, José Yravedra, Miguel Ángel Maté-González, Petros Koumoutsakos

J. Comput. Sci., 2019

Boosting segmentation with weak supervision from image-to-image translation.

Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz

CoRR, 2019

2018

Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks.

Pantelis-Rafail Vlachas, Wonmin Byeon, Zhong Yi Wan, Themistoklis P. Sapsis, Petros Koumoutsakos

CoRR, 2018

ContextVP: Fully Context-Aware Video Prediction.

Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Fully Context-Aware Video Prediction.

Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos

CoRR, 2017

2016

Image Analysis with Long Short-Term Memory Recurrent Neural Networks.

Wonmin Byeon

PhD thesis, 2016

Symbolic Association Using Parallel Multilayer Perceptron.

Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

Scene analysis by mid-level attribute learning using 2D LSTM networks and an application to web-image tagging.

Wonmin Byeon, Marcus Liwicki, Thomas M. Breuel

Pattern Recognit. Lett., 2015

Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation.

Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Symbol Grounding in Multimodal Sequences using Recurrent Neural Networks.

Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki

Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

Parallel sequence classification using recurrent neural networks and alignment.

Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki

Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Scene labeling with LSTM recurrent neural networks.

Wonmin Byeon, Thomas M. Breuel, Federico Raue, Marcus Liwicki

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Texture Classification Using 2D LSTM Networks.

Wonmin Byeon, Marcus Liwicki, Thomas M. Breuel

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Supervised texture segmentation using 2D LSTM networks.

Wonmin Byeon, Thomas M. Breuel

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

On the Detection and Matching of Structures on Less-textured Scenes.

Wan-Lei Zhao, Wonmin Byeon, Thomas M. Breuel

Proceedings of the VISAPP 2013, 2013

Towards Searchable Line Drawings, a Content-Based Symbol Retrieval Approach with Variable Query Complexity.

Nibal Nayef, Wonmin Byeon, Thomas M. Breuel

Proceedings of the Graphics Recognition. Current Trends and Challenges, 2013

Object Recognition in Multi-View Dual Energy X-ray Images.

Muhammet Bastan, Wonmin Byeon, Thomas M. Breuel

Proceedings of the British Machine Vision Conference, 2013

2009

Face Recognition Using Region-Based Nonnegative Matrix Factorization.

Wonmin Byeon, Moongu Jeon

Proceedings of the Communication and Networking, 2009