605 citations · 1.2k across the 29 of their papers we have counts for
7 papers · 1 filter
Self-Aligned Concave Curve: Illumination Enhancement for Unsupervised Adaptation
Wenjing Wang, Zhengbo Xu, Haofeng Huang +1
Low light conditions not only degrade human visual experience, but also reduce the performance of downstream machine analytics. Although many works have been designed for low-light…
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…
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…
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…
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…
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…
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
Zheng Xu, Mario A. T. Figueiredo, Xiaoming Yuan +2
Many modern computer vision and machine learning applications rely on solving difficult optimization problems that involve non-differentiable objective functions and constraints. T…