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20182021
most citedExtending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers

18 citations · 82 across the 15 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.CV20181 cited

A Main/Subsidiary Network Framework for Simplifying Binary Neural Network

Yinghao Xu, Xin Dong, Yudian Li +1

To reduce memory footprint and run-time latency, techniques such as neural network pruning and binarization have been explored separately. However, it is unclear how to combine the…

cs.CV2018

Adversarial Defense by Stratified Convolutional Sparse Coding

Bo Sun, Nian-hsuan Tsai, Fangchen Liu +2

We propose an adversarial defense method that achieves state-of-the-art performance among attack-agnostic adversarial defense methods while also maintaining robustness to input res…

cs.CV2018

ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Xibin Song, Peng Wang, Dingfu Zhou +6

Autonomous driving has attracted remarkable attention from both industry and academia. An important task is to estimate 3D properties(e.g.translation, rotation and shape) of a movi…

cs.LG2018

Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA

Cheng Fu, Shilin Zhu, Hao Su +2

Binarized Neural Network (BNN) removes bitwidth redundancy in classical CNN by using a single bit (-1/+1) for network parameters and intermediate representations, which has greatly…

cs.CV2018

Deep Part Induction from Articulated Object Pairs

Li Yi, Haibin Huang, Difan Liu +3

Object functionality is often expressed through part articulation -- as when the two rigid parts of a scissor pivot against each other to perform the cutting function. Such articul…

cs.LG2018

Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?

Shilin Zhu, Xin Dong, Hao Su

Binary neural networks (BNN) have been studied extensively since they run dramatically faster at lower memory and power consumption than floating-point networks, thanks to the effi…