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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
Blind Image Quality Assessment Method Based on DeepSA-Net
Blind image quality assessment refers to the accurate prediction of the visual quality of any input image without a reference image. With the rapid growth of the number of images and increasing requirements fo...
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Chapter and Conference Paper
OCET: One-Dimensional Convolution Embedding Transformer for Stock Trend Prediction
Due to the strong data fitting ability of deep learning, the use of deep learning for quantitative trading has gradually sprung up in recent years. As a classical problem of quantitative trading, Stock Trend P...
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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
Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking
Person re-identification is a challenging task aiming to identify the same person across different cameras. However, most of existing image-based person re-identification methods neglect the spatial and tempo...