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A Tutorial on VAEs: From Bayes' Rule to Lossless Compression


Jun 30, 2020
Ronald Yu


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Adversarial point perturbations on 3D objects


Aug 16, 2019
Daniel Liu, Ronald Yu, Hao Su

* 17 pages, source code available at this https url: https://github.com/Daniel-Liu-c0deb0t/Adversarial-point-perturbations-on-3D-objects 

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Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers


Jan 10, 2019
Daniel Liu, Ronald Yu, Hao Su

* 8 pages, 3 figures, 5 tables 

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Adversarial Defense by Stratified Convolutional Sparse Coding


Nov 30, 2018
Bo Sun, Nian-hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su


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Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions


Oct 25, 2018
Minhyuk Sung, Hao Su, Ronald Yu, Leonidas Guibas

* NIPS 2018 

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SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation


Nov 23, 2017
Weiyue Wang, Ronald Yu, Qiangui Huang, Ulrich Neumann


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Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks


Jun 02, 2017
Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Shunsuke Saito, Ronald Yu, Hao Li, Jaakko Lehtinen

* Final SCA 2017 version 

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