Wonmin Byeon

Publications

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

https://arxiv.org/pdf/2406.07887

2023

Convolutional State Space Models for Long-Range Spatiotemporal Modeling

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

Advances in Neural Information Processing Systems (NeurIPS) 2023

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

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023

Hightlight top 10%

2022

GroupViT: Semantic Segmentation Emerges from Text Supervision

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022

Displacement-Invariant Cost Computation for Efficient Stereo Matching

Yiran Zhong, Charles Loop, Wonmin Byeon, Stan Birchfield, et al.

IJCV

2021

Weakly-Supervised Physically Unconstrained Gaze Estimation

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021

Oral

2020

Convolutional Tensor-Train LSTM for Spatio-Temporal Learning

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

Advances in Neural Information Processing Systems (NeurIPS)