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Chapter and Conference Paper
A Physically Feasible Counter-Attack Method for Remote Sensing Imaging Point Clouds
This research introduces an innovative approach to address the vulnerability of deep learning-based point cloud target recognition systems to adversarial sample attacks. Instead of directly tampering with the ...
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Chapter and Conference Paper
Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification
While existing multivariate time series classification (MTSC) methods using massive convolutional kernels show promise, they are resource-intensive and also rely on the trial and error design of convolutional ...
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Chapter and Conference Paper
Information Lossless Multi-modal Image Generation for RGB-T Tracking
Visible-Thermal infrared(RGB-T) multimodal target representation is a key issue affecting RGB-T tracking performance. It is difficult to train a RGB-T fusion tracker in an end-to-end way, due to the lack of an...
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Chapter and Conference Paper
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis
The functional brain network, estimated from functional magnetic resonance imaging (fMRI), have been widely used to capture subtle brain function abnormality and perform diagnosis of brain diseases, such as ea...