99 citations · 186 across the 8 of their papers we have counts for
8 papers
Overcoming Attention Drift: Homogeneity-Heterogeneity Guided Feature Aggregation for Low-Light Remote Sensing Image Enhancement
Yaozi Zhong, Xingxing Yang, Shaohui Mei +1
Restoring high-fidelity remote sensing imagery from extreme low-light degradation is indispensable for reliable Earth observation and downstream machine vision. However, under seve…
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Shaohui Mei, Jiawei Lian, Xiaofei Wang +3
Deep neural networks (DNNs) have found widespread applications in interpreting remote sensing (RS) imagery. However, it has been demonstrated in previous works that DNNs are vulner…
CBA: Contextual Background Attack against Optical Aerial Detection in the Physical World
Jiawei Lian, Xiaofei Wang, Yuru Su +2
Patch-based physical attacks have increasingly aroused concerns. However, most existing methods focus on obscuring targets captured on the ground, and some of these methods are sim…
Contextual adversarial attack against aerial detection in the physical world
Jiawei Lian, Xiaofei Wang, Yuru Su +2
Deep Neural Networks (DNNs) have been extensively utilized in aerial detection. However, DNNs' sensitivity and vulnerability to maliciously elaborated adversarial examples have pro…
Benchmarking Adversarial Patch Against Aerial Detection
Jiawei Lian, Shaohui Mei, Shun Zhang +1
DNNs are vulnerable to adversarial examples, which poses great security concerns for security-critical systems. In this paper, a novel adaptive-patch-based physical attack (AP-PA)…
Multi-level Adversarial Spatio-temporal Learning for Footstep Pressure based FoG Detection
Kun Hu, Shaohui Mei, Wei Wang +5
Freezing of gait (FoG) is one of the most common symptoms of Parkinson's disease, which is a neurodegenerative disorder of the central nervous system impacting millions of people a…
Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images
Ge Zhang, Shaohui Mei, Mingyang Ma +2
Spectral unmixing (SU) expresses the mixed pixels existed in hyperspectral images as the product of endmember and abundance, which has been widely used in hyperspectral imagery ana…
Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification
Shujun Yang, Junhui Hou, Yuheng Jia +2
In this paper, we propose a novel classification scheme for the remotely sensed hyperspectral image (HSI), namely SP-DLRR, by comprehensively exploring its unique characteristics,…