Face Recognition Using Region-Based Nonnegative Matrix Factorization. - Wonmin Byeon; Moongu Jeon (FGIT-FGCN, 2009)

Object Recognition in Multi-View Dual Energy X-ray Images. - Muhammet Bastan; Wonmin Byeon; Thomas M. Breuel (BMVC, 2013)

Towards Searchable Line Drawings, a Content-Based Symbol Retrieval Approach with Variable Query Complexity. - Nibal Nayef; Wonmin Byeon; Thomas M. Breuel (GREC, 2013)

On the Detection and Matching of Structures on Less-textured Scenes. - Wan-Lei Zhao; Wonmin Byeon; Thomas M. Breuel (VISAPP (1), 2013)

Supervised texture segmentation using 2D LSTM networks. - Wonmin Byeon; Thomas M. Breuel (ICIP, 2014)

Texture Classification Using 2D LSTM Networks. - Wonmin Byeon; Marcus Liwicki; Thomas M. Breuel (ICPR, 2014)

Scene labeling with LSTM recurrent neural networks. - Wonmin Byeon; Thomas M. Breuel; Federico Raue; Marcus Liwicki (CVPR, 2015)

Parallel sequence classification using recurrent neural networks and alignment. - Federico Raue; Wonmin Byeon; Thomas M. Breuel; Marcus Liwicki (ICDAR, 2015)

Symbol Grounding in Multimodal Sequences using Recurrent Neural Networks. - Federico Raue; Wonmin Byeon; Thomas M. Breuel; Marcus Liwicki (CoCo@NIPS, 2015)

Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation. - Marijn F. Stollenga; Wonmin Byeon; Marcus Liwicki; Jürgen Schmidhuber (NIPS, 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)

Symbolic Association Using Parallel Multilayer Perceptron. - Federico Raue; Sebastian Palacio; Thomas M. Breuel; Wonmin Byeon; Andreas Dengel 001; Marcus Liwicki (ICANN (2), 2016)

Image Analysis with Long Short-Term Memory Recurrent Neural Networks. - Wonmin Byeon (2016)

Fully Context-Aware Video Prediction. - Wonmin Byeon; Qin Wang 013; Rupesh Kumar Srivastava; Petros Koumoutsakos (CoRR, 2017)

ContextVP: Fully Context-Aware Video Prediction. - Wonmin Byeon; Qin Wang 013; Rupesh Kumar Srivastava; Petros Koumoutsakos (CVPR Workshops, 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)

Boosting segmentation with weak supervision from image-to-image translation. - Eugene Vorontsov; Pavlo Molchanov 001; Wonmin Byeon; Shalini De Mello; Varun Jampani; Ming-Yu Liu 001; Samuel Kadoury; Jan Kautz (CoRR, 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)

Convolutional Tensor-Train LSTM for Spatio-Temporal Learning. - Jiahao Su; Wonmin Byeon; Jean Kossaifi; Furong Huang; Jan Kautz; Anima Anandkumar (NeurIPS, 2020)

Convolutional Tensor-Train LSTM for Spatio-temporal Learning. - Jiahao Su; Wonmin Byeon; Furong Huang; Jan Kautz; Animashree Anandkumar (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)

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)

Weakly-Supervised Physically Unconstrained Gaze Estimation. - Rakshit Sunil Kothari; Shalini De Mello; Umar Iqbal 001; Wonmin Byeon; Seonwook Park; Jan Kautz (CVPR, 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 (ICCS (5), 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 (NeurIPS, 2021)

Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework. - Jiahao Su; Wonmin Byeon; Furong Huang (CoRR, 2021)

Sound-Guided Semantic Image Manipulation. - Seung Hyun Lee; Wonseok Roh; Wonmin Byeon; Sang Ho Yoon; Chanyoung Kim 001; Jinkyu Kim 001; Sangpil Kim (CVPR, 2022)

GroupViT: Semantic Segmentation Emerges from Text Supervision. - Jiarui Xu; Shalini De Mello; Sifei Liu; Wonmin Byeon; Thomas M. Breuel; Jan Kautz; Xiaolong Wang 004 (CVPR, 2022)

Sound-Guided Semantic Video Generation. - Seung Hyun Lee; Gyeongrok Oh; Wonmin Byeon; Chanyoung Kim 001; Won Jeong Ryoo; Sang Ho Yoon; Hyunjun Cho; Jihyun Bae; Jinkyu Kim 001; Sangpil Kim (ECCV (17), 2022)

Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations. - Benjamin Wu; Oliver Hennigh; Jan Kautz; Sanjay Choudhry; Wonmin Byeon (ICCS (1), 2022)

Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework. - Jiahao Su; Wonmin Byeon; Furong Huang (ICML, 2022)

Sound-Guided Semantic Video Generation. - Seung Hyun Lee; Gyeongrok Oh; Wonmin Byeon; Jihyun Bae; Chanyoung Kim 001; Won Jeong Ryoo; Sang Ho Yoon; Jinkyu Kim 001; Sangpil Kim (CoRR, 2022)

Robust Sound-Guided Image Manipulation. - Seung Hyun Lee; Chanyoung Kim 001; Wonmin Byeon; Gyeongrok Oh; Jooyoung Lee; Sang Ho Yoon; Jinkyu Kim 001; Sangpil Kim (CoRR, 2022)

LISA: Localized Image Stylization with Audio via Implicit Neural Representation. - Seung Hyun Lee; Chanyoung Kim 001; Wonmin Byeon; Sang Ho Yoon; Jinkyu Kim 001; Sangpil Kim (CoRR, 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)

Heterogeneous Continual Learning. - Divyam Madaan; Hongxu Yin; Wonmin Byeon; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2023)

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models. - Jiarui Xu; Sifei Liu; Arash Vahdat; Wonmin Byeon; Xiaolong Wang 004; Shalini De Mello (CVPR, 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 001 (ICCV, 2023)

Convolutional State Space Models for Long-Range Spatiotemporal Modeling. - Jimmy T. H. Smith; Shalini De Mello; Jan Kautz; Scott W. Linderman; Wonmin Byeon (NeurIPS, 2023)

MTVG : Multi-text Video Generation with Text-to-Video Models. - Gyeongrok Oh; Jaehwan Jeong; Sieun Kim; Wonmin Byeon; Jinkyu Kim 001; Sungwoong Kim; Hyeokmin Kwon; Sangpil Kim (CoRR, 2023)

RegionGPT: Towards Region Understanding Vision Language Model. - Qiushan Guo; Shalini De Mello; Hongxu Yin; Wonmin Byeon; Ka Chun Cheung; Yizhou Yu; Ping Luo 002; Sifei Liu (CVPR, 2024)

MEVG: Multi-event Video Generation with Text-to-Video Models. - Gyeongrok Oh; Jaehwan Jeong; Sieun Kim; Wonmin Byeon; Jinkyu Kim 001; Sungwoong Kim; Sangpil Kim (ECCV (43), 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 003; Deepak Narayanan; Garvit Kulshreshtha; Vartika Singh; et al. (CoRR, 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 001; Sangpil Kim (Neural Networks, 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 001; Sangpil Kim (Comput. Vis. Media, 2024)

Parallel Sequence Modeling via Generalized Spatial Propagation Network. - Hongjun Wang; Wonmin Byeon; Jiarui Xu; Jinwei Gu; Ka Chun Cheung; Xiaolong Wang 004; Kai Han 001; Jan Kautz; Sifei Liu (CVPR, 2025)

Hymba: A Hybrid-head Architecture for Small Language Models. - Xin Dong 009; 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; et al. (ICLR, 2025)

Feature-based Graph Attention Networks Improve Online Continual Learning. - Adjovi Sim; Zhengkui Wang; Aik Beng Ng; Shalini De Mello; Simon See; Wonmin Byeon (CoRR, 2025)

Token-Efficient Long Video Understanding for Multimodal LLMs. - Jindong Jiang; Xiuyu Li; Zhijian Liu; Muyang Li; Guo Chen 006; Zhiqi Li; De-An Huang; Guilin Liu; Zhiding Yu; Kurt Keutzer; Sungjin Ahn; Jan Kautz; et al. (CoRR, 2025)

Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models. - Guo Chen 006; Zhiqi Li; Shihao Wang; Jindong Jiang; Yicheng Liu; Lidong Lu; De-An Huang; Wonmin Byeon; Matthieu Le; Tuomas Rintamaki; Tyler Poon; Max Ehrlich; et al. (CoRR, 2025)