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TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text


May 24, 2021
Taylor Archibald, Mason Poggemann, Aaron Chan, Tony Martinez

* Accepted as a conference paper at the 16th International Conference on Document Analysis and Recognition (ICDAR), Lausanne, Switzerland, 2021 

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SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning


Apr 18, 2021
Aaron Chan, Soumya Sanyal, Boyuan Long, Jiashu Xu, Tanishq Gupta, Xiang Ren

* 12 pages, 8 figures 

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Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation


Oct 24, 2020
Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan Rossi, Handong Zhao, Nedim Lipka, Xiang Ren

* 13 pages, 9 figures 

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Egocentric Basketball Motion Planning from a Single First-Person Image


Mar 04, 2018
Gedas Bertasius, Aaron Chan, Jianbo Shi

* CVPR 2018 

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6-DoF Object Pose from Semantic Keypoints


Mar 14, 2017
Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, Kostas Daniilidis

* IEEE International Conference on Robotics and Automation (ICRA), 2017 

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