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I am a research scientist at FAIR, Meta AI since 2022. I completed my Ph.D. in Electrical and Computer Engineering at the Univeristy of Illinois Urbana Champaign, advised by Alex Schwing.
I am interested in computer vision and machine learning, with a focus on videos.
[Google Scholar] [email]
Selected Publications
Selected Publications
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer
International Conference on Machine Learning (ICML) 2023
Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction
Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction
Yuan-Ting Hu, Alexander G. Schwing and Raymond A. Yeh
International Conference on Machine Learning (ICML) 2023
Occupancy Planes for Single-View RGB-D Human Reconstruction
Occupancy Planes for Single-View RGB-D Human Reconstruction
Xiaoming Zhao, Yuan-Ting Hu, Zongzheng Ren, and Alexander G. Schwing
AAAI Conference on Artificial Intelligence (AAAI) 2023
Equivariance Discovery by Learned Parameter-Sharing
Equivariance Discovery by Learned Parameter-Sharing
Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson and Alexander G. Schwing
International Conference on Artificial Intelligence and Statistics (AISTATS) 2022
Total Variation Optimization Layers for Computer Vision
Total Variation Optimization Layers for Computer Vision
Raymond A. Yeh, Yuan-Ting Hu and Alexander G. Schwing
International Conference on Computer Vision and Pattern Recognition (CVPR) 2022
SAIL-VOS 3D: A Synthetic Dataset and Baseline for Object Detection and 3D Mesh Reconstruction from Video Data
SAIL-VOS 3D: A Synthetic Dataset and Baseline for Object Detection and 3D Mesh Reconstruction from Video Data
Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh and Alexander G. Schwing
International Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Proposal-based Video Completion
Proposal-based Video Completion
Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman and Alexander G. Schwing
European Conference on Computer Vision (ECCV) 2020
Chirality Nets for Human Pose Regression
Chirality Nets for Human Pose Regression
Raymond A. Yeh*, Yuan-Ting Hu*, and Alexander G. Schwing
(Equal contribution)Neural Information Processing Systems (NeurIPS) 2019
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation -- A Synthetic Dataset and Baselines
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation -- A Synthetic Dataset and Baselines
Yuan-Ting Hu, Hong-Shuo Chen, Kexin Hui, Jia-Bin Huang and Alexander G. Schwing
International Conference on Computer Vision and Pattern Recognition (CVPR) 2019
Max-Sliced Wasserstein Distance and its use for GANs
Max-Sliced Wasserstein Distance and its use for GANs
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David Forsyth and Alexander G. Schwing
International Conference on Computer Vision and Pattern Recognition (CVPR) 2019
VideoMatch: Matching based Video Object Segmentation
VideoMatch: Matching based Video Object Segmentation
Yuan-Ting Hu, Jia-Bin Huang and Alexander G. Schwing
European Conference on Computer Vision (ECCV) 2018
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation
Yuan-Ting Hu, Jia-Bin Huang and Alexander G. Schwing
European Conference on Computer Vision (ECCV) 2018
Mask-RNN: Instance Level Video Object Segmentation
Mask-RNN: Instance Level Video Object Segmentation
Yuan-Ting Hu, Jia-Bin Huang and Alexander G. Schwing
Neural Information Processing Systems (NeurIPS) 2017
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