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Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Publications
AI Playground
New and Featured
AI Art Gallery
Team
News
People
Collaborations
Academic
Government
Graduate Fellowships
Research Labs
3D DL
Applied Research
Autonomous Vehicles
Deep Imagination
Dynamic Vision and Learning
Learning & Perception
Perception, Action, & Reseasoning DL
Robotics
Careers
Internships
Research Scientists
Licensing
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People
Wonmin Byeon
Research Area(s)
Computer Vision
Robotics
Main Field of Interest
Artificial Intelligence and Machine Learning
Publications
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 presentation
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)
Displacement-Invariant Cost Computation for Efficient Stereo Matching
Yiran Zhong,
Charles Loop
,
Wonmin Byeon
,
Stan Birchfield
, Yuchao Dai, Kaihao Zhang, Alexey Kamenev,
Thomas Breuel
, Hongdong Li,
Jan Kautz
arXiv