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20172023
most citedImproving the Harmony of the Composite Image by Spatial-Separated Attention Module

140 citations · 415 across the 43 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CV2019★ 21 cited

Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

Xiaodong Cun, Chi-Man Pun, Cheng Shi

Shadow removal is an essential task for scene understanding. Many studies consider only matching the image contents, which often causes two types of ghosts: color in-consistencies…

cs.CV2019★ 140 cited

Improving the Harmony of the Composite Image by Spatial-Separated Attention Module

Xiaodong Cun, Chi-Man Pun

Image composition is one of the most important applications in image processing. However, the inharmonious appearance between the spliced region and background degrade the quality…

cs.CR2019

Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients

Yatie Xiao, Chi-Man Pun

Deep neural networks are easily fooled high confidence predictions for adversarial samples

cs.CV2019

Pixelation is NOT Done in Videos Yet

Jizhe Zhou, Chi-Man Pun, YingYu Wang

This paper introduces an algorithm to protect the privacy of individuals in streaming video data by blurring faces such that face cannot be reliably recognized. This thwarts any po…

cs.CV2019

Adaptive Gradient for Adversarial Perturbations Generation

Yatie Xiao, Chi-Man Pun

Deep Neural Networks have achieved remarkable success in computer vision, natural language processing, and audio tasks.

cs.CV2019

Generating Adversarial Perturbation with Root Mean Square Gradient

Yatie Xiao, Chi-Man Pun, Jizhe Zhou

We focus our attention on the problem of generating adversarial perturbations based on the gradient in image classification domain