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JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints


Nov 24, 2021
Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik


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UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps


Apr 28, 2021
Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph Lambourne

* 13 pages, 20 figures, 5 tables 

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Engineering Sketch Generation for Computer-Aided Design


Apr 19, 2021
Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu

* The 1st Workshop on Sketch-Oriented Deep Learning @ CVPR 2021 

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BRepNet: A topological message passing system for solid models


Apr 08, 2021
Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani

* CVPR 2021 Oral 

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RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers


Nov 25, 2020
Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula


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PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing


Jul 09, 2020
Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khasahmadi, Tonya Custis

* Accepted to ICML 2020 WHI 

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UV-Net: Learning from Curve-Networks and Solids


Jun 18, 2020
Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph Lambourne, Thomas Davies, Hooman Shayani, Nigel Morris


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How Powerful Are Randomly Initialized Pointcloud Set Functions?


Mar 11, 2020
Aditya Sanghi, Pradeep Kumar Jayaraman

* 6 pages, 2 figures, NeurIPS 2019 Sets & Partitions Workshop 

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