First Place:
1571096806: Reduced-Dimension Reiterative Superresolution
Callin A Schone, University of Oklahoma
Second Place:
1571097439: Semantic Segmentation Guided RF Micro-Doppler Synthesis and UAV Classification in Low SINR
Sean J Kearney, North Carolina State University
Third Place:
1571099960: Radar-Based Online Learning of Human Skeleton Keypoints Without Any Prior Real Data
Sultanus Salehin, North Carolina State University
The 2025 IEEE International Radar Conference student paper finalists which were selected by a committee within the Radar Systems Panel, are recognized for their exceptional content and technical contributions. Finalists are invited to present their work remotely at the conference to a panel of judges from industry and academia. The top three students will receive a cash award and recognition during the banquet awards ceremony on Wednesday, May 7, 2025.
1571097439: Semantic Segmentation Guided RF Micro-Doppler Synthesis and UAV Classification in Low SINR
Sean J Kearney, North Carolina State University
1571094158: High-Quality Synthetic Data Generation For Omnidirectional Human Activity Recognition
Hengfeng Liu, Beihang University
1571099960: Radar-Based Online Learning of Human Skeleton Keypoints Without Any Prior Real Data
Sultanus Salehin, North Carolina State University
1571096681: Experimental results for mobile OFDM radar using NULA and supervised reciprocal filter based DPCA
Andrea Quirini, Sapienza University of Rome
1571096806: Reduced-Dimension Reiterative Superresolution
Callin A Schone, University of Oklahoma
Backup
1571096912: Learnable Gaussian Filter-based Automatic RF Waveform Modulation Recognition
Bruce Hicks, Mississippi State University
1571099367: Asymptotic Performance of Low Rank Adaptive Normalized Matched Filter Test under Large Dimensional Regime
Jie Zhou, Harbin Institute of Technology
