Zhangyuan Hu — accepted AI-conference papers

2025

FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection

Ke Li, Di Wang, Zhangyuan Hu, Shaofeng Li, Weiping Ni, Lin Zhao +1

AAAI 2025technical

Infrared-visible object detection (IVOD) seeks to harness the complementary information in infrared and visible images, thereby enhancing the performance of detectors in complex environments. However, existing methods often neglect the frequency characteristics of complementary information, such as…

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2024

Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection

Ke Li, Di Wang, Zhangyuan Hu, Wenxuan Zhu, Shaofeng Li, Quan Wang

CVPR 2024poster

Deep Convolutional Neural Networks (DCNNs) have achieved remarkable performance in synthetic aperture radar (SAR) object detection but this comes at the cost of tremendous computational resources partly due to extracting redundant features within a single convolutional layer. Recent works either del…

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