187 citations · 293 across the 33 of their papers we have counts for
6 papers · 1 filter
Automated Model Compression by Jointly Applied Pruning and Quantization
Wenting Tang, Xingxing Wei, Bo Li
In the traditional deep compression framework, iteratively performing network pruning and quantization can reduce the model size and computation cost to meet the deployment require…
Object Hider: Adversarial Patch Attack Against Object Detectors
Yusheng Zhao, Huanqian Yan, Xingxing Wei
Deep neural networks have been widely used in many computer vision tasks. However, it is proved that they are susceptible to small, imperceptible perturbations added to the input.…
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples
Xiaojun Jia, Xingxing Wei, Xiaochun Cao +1
Recent research has demonstrated that adding some imperceptible perturbations to original images can fool deep learning models. However, the current adversarial perturbations are u…
Efficient Adversarial Attacks for Visual Object Tracking
Siyuan Liang, Xingxing Wei, Siyuan Yao +1
Visual object tracking is an important task that requires the tracker to find the objects quickly and accurately. The existing state-ofthe-art object trackers, i.e., Siamese based…
Attention: to Better Stand on the Shoulders of Giants
Sha Yuan, Zhou Shao, Yu Zhang +4
Science of science (SciSci) is an emerging discipline wherein science is used to study the structure and evolution of science itself using large data sets. The increasing availabil…
Sparse Black-box Video Attack with Reinforcement Learning
Xingxing Wei, Huanqian Yan, Bo Li
Adversarial attacks on video recognition models have been explored recently. However, most existing works treat each video frame equally and ignore their temporal interactions. To…