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20162023
most citedHow to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

157 citations · 338 across the 18 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018

Universal Adversarial Training

Ali Shafahi, Mahyar Najibi, Zheng Xu +3

Standard adversarial attacks change the predicted class label of a selected image by adding specially tailored small perturbations to its pixels. In contrast, a universal perturbat…

cs.CV2018

Accurate and efficient video de-fencing using convolutional neural networks and temporal information

Chen Du, Byeongkeun Kang, Zheng Xu +2

De-fencing is to eliminate the captured fence on an image or a video, providing a clear view of the scene. It has been applied for many purposes including assisting photographers a…

cs.CV2018

The Effectiveness of Instance Normalization: a Strong Baseline for Single Image Dehazing

Zheng Xu, Xitong Yang, Xue Li +1

We propose a novel deep neural network architecture for the challenging problem of single image dehazing, which aims to recover the clear image from a degraded hazy image. Instead…

cs.CV2018

Learning from Multi-domain Artistic Images for Arbitrary Style Transfer

Zheng Xu, Michael Wilber, Chen Fang +2

We propose a fast feed-forward network for arbitrary style transfer, which can generate stylized image for previously unseen content and style image pairs. Besides the traditional…

cs.CV2018

Learning to Cluster for Proposal-Free Instance Segmentation

Yen-Chang Hsu, Zheng Xu, Zsolt Kira +1

This work proposed a novel learning objective to train a deep neural network to perform end-to-end image pixel clustering. We applied the approach to instance segmentation, which i…