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Article
OCNet: Object Context for Semantic Segmentation
In this paper, we address the semantic segmentation task with a new context aggregation scheme named object context, which focuses on enhancing the role of object information. Motivated by the fact that the categ...
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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...
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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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Article
VAE-CoGAN: Unpaired image-to-image translation for low-level vision
Low-level vision problems, such as single image haze removal and single image rain removal, usually restore a clear image from an input image using a paired dataset. However, for many problems, the paired trai...
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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 ...