2.1k citations · 2.3k across the 11 of their papers we have counts for
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3 papers · 1 filter
cs.CR2018
Generating 3D Adversarial Point Clouds
Chong Xiang, Charles R. Qi, Bo Li
Deep neural networks are known to be vulnerable to adversarial examples which are carefully crafted instances to cause the models to make wrong predictions. While adversarial examp…
cs.CV2018
FlowNet3D: Learning Scene Flow in 3D Point Clouds
Xingyu Liu, Charles R. Qi, Leonidas J. Guibas
Many applications in robotics and human-computer interaction can benefit from understanding 3D motion of points in a dynamic environment, widely noted as scene flow. While most pre…
cs.LG2018
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks
Zhihao Jia, Sina Lin, Charles R. Qi +1
The past few years have witnessed growth in the computational requirements for training deep convolutional neural networks. Current approaches parallelize training onto multiple de…