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Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization


Nov 28, 2022
Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg

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* Accepted at NeurIPS 2022. Code and data available at https://github.com/rehg-lab/dope_selfsup 

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Transformer-based Localization from Embodied Dialog with Large-scale Pre-training


Oct 10, 2022
Meera Hahn, James M. Rehg

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* International Joint Conference on Natural Language Processing (2022) 

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In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation


Aug 10, 2022
Bolin Lai, Miao Liu, Fiona Ryan, James M. Rehg

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* 23 pages 

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Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues


Apr 21, 2022
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg

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* Project page: https://zixuanh.com/multiclass3D 

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Generative Adversarial Network for Future Hand Segmentation from Egocentric Video


Mar 21, 2022
Wenqi Jia, Miao Liu, James M. Rehg

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Kernel Deformed Exponential Families for Sparse Continuous Attention


Nov 12, 2021
Alexander Moreno, Supriya Nagesh, Zhenke Wu, Walter Dempsey, James M. Rehg

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Transformers for prompt-level EMA non-response prediction


Nov 01, 2021
Supriya Nagesh, Alexander Moreno, Stephanie M. Carpenter, Jamie Yap, Soujanya Chatterjee, Steven Lloyd Lizotte, Neng Wan, Santosh Kumar, Cho Lam, David W. Wetter, Inbal Nahum-Shani, James M. Rehg

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Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling


Oct 26, 2021
Yu-Ying Liu, Alexander Moreno, Maxwell A. Xu, Shuang Li, Jena C. McDaniel, Nancy C. Brady, Agata Rozga, Fuxin Li, Le Song, James M. Rehg

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No RL, No Simulation: Learning to Navigate without Navigating


Oct 22, 2021
Meera Hahn, Devendra Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta

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