Byeon, Wonmin

23 publications

NeurIPS 2025 Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Max Ehrlich, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu

NeurIPS 2025 GSPN-2: Efficient Parallel Sequence Modeling 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

ICLR 2025 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 Celine Lin, Jan Kautz, Pavlo Molchanov

NeurIPS 2025 Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models Yonggan Fu, Xin Dong, Shizhe Diao, Matthijs Van keirsbilck, Hanrong Ye, Wonmin Byeon, Yashaswi Karnati, Lucas Liebenwein, Maksim Khadkevich, Alexander Keller, Jan Kautz, Yingyan Celine Lin, Pavlo Molchanov

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

ECCV 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

CVPR 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

NeurIPS 2023 Convolutional State Space Models for Long-Range Spatiotemporal Modeling Jimmy Smith, Shalini De Mello, Jan Kautz, Scott Linderman, Wonmin Byeon

CVPR 2023 Heterogeneous Continual Learning Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov

CVPR 2023 Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello

ICCV 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

ICMLW 2023 The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion Yujin Jeong, Wonjeong Ryu, Seung Hyun Lee, Da Bin Seo, Wonmin Byeon, Sangpil Kim, Jinkyu Kim

CVPR 2022 GroupViT: Semantic Segmentation Emerges from Text Supervision Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas Breuel, Jan Kautz, Xiaolong Wang

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

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

ECCV 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

NeurIPS 2021 Coupled Segmentation and Edge Learning via Dynamic Graph Propagation Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas Breuel, Anima Anandkumar, Jan Kautz

CVPR 2021 Weakly-Supervised Physically Unconstrained Gaze Estimation Rakshit Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz

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

ECCV 2018 ContextVP: Fully Context-Aware Video Prediction Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos

CVPRW 2018 ContextVP: Fully Context-Aware Video Prediction Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos

NeurIPS 2015 Parallel Multi-Dimensional LSTM, with Application to Fast Biomedical Volumetric Image Segmentation Marijn F Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber

CVPR 2015 Scene Labeling with LSTM Recurrent Neural Networks Wonmin Byeon, Thomas M. Breuel, Federico Raue, Marcus Liwicki