ZijunHu — accepted AI-conference papers

2024

AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation

Teng Li, Liwen Zhang, Youcheng Zhang, ZijunHu, Pengcheng Pi, Zongqing Lu +2

NeurIPS 2024poster

Deep learning-based radar detection technology is receiving increasing attention in areas such as autonomous driving, UAV surveillance, and marine monitoring. Among recent efforts, PeakConv (PKC) provides a solution that can retain the peak response characteristics of radar signals and play the char…

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2024

TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network

Youcheng Zhang, Liwen Zhang, ZijunHu, Pengcheng Pi, Teng Li, Yuanpei Chen +2

NeurIPS 2024poster

Radar signal interpretation plays a crucial role in remote detection and ranging. With the gradual display of the advantages of neural network technology in signal processing, learning-based radar signal interpretation is becoming a research hot-spot and made great progress. And since radar semantic…

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