30 citations · 54 across the 6 of their papers we have counts for
6 papers · 1 filter
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
Zhijin Ge, Fanhua Shang, Hongying Liu +4
Deep neural networks are vulnerable to adversarial examples crafted by applying human-imperceptible perturbations on clean inputs. Although many attack methods can achieve high suc…
From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data
Ye Liu, Lei Zhu, Shunda Pei +5
Single image dehazing is a challenging task, for which the domain shift between synthetic training data and real-world testing images usually leads to degradation of existing metho…
Triple-cooperative Video Shadow Detection
Zhihao Chen, Liang Wan, Lei Zhu +4
Shadow detection in a single image has received significant research interest in recent years. However, much fewer works have been explored in shadow detection over dynamic scenes.…
Active Lighting Recurrence by Parallel Lighting Analogy for Fine-Grained Change Detection
Qian Zhang, Wei Feng, Liang Wan +3
This paper studies a new problem, namely active lighting recurrence (ALR) that physically relocalizes a light source to reproduce the lighting condition from single reference image…
Effects of Blur and Deblurring to Visual Object Tracking
Qing Guo, Wei Feng, Zhihao Chen +3
Intuitively, motion blur may hurt the performance of visual object tracking. However, we lack quantitative evaluation of tracker robustness to different levels of motion blur. Mean…
Multiple Human Association between Top and Horizontal Views by Matching Subjects' Spatial Distributions
Ruize Han, Yujun Zhang, Wei Feng +5
Video surveillance can be significantly enhanced by using both top-view data, e.g., those from drone-mounted cameras in the air, and horizontal-view data, e.g., those from wearable…