3 papers
cs.AR2026
Model Compression and Hardware-Aware Acceleration for Deep Learning on FPGAs: A Co-Design Taxonomy and Comparative Analysis
Peter Forcha, H. Kajekusumadhar, Mbua Peter +3
Deploying deep neural networks on Field-Programmable Gate Arrays (FPGAs) requires joint reasoning about model compression and hardware acceleration, however the most comprehensive…
eess.IV2026
Seamlessly Natural: Image Stitching with Natural Appearance Preservation
Gaetane Lorna N. Tchana, Damaris Belle M. Fotso, Antonio Hendricks +1
This paper introduces SENA (SEamlessly NAtural), a geometry-driven image stitching approach that prioritizes structural fidelity in challenging real-world scenes characterized by p…
cs.CR2024
Programmable EM Sensor Array for Golden-Model Free Run-time Trojan Detection and Localization
Hanqiu Wang, Max Panoff, Zihao Zhan +3
Side-channel analysis has been proven effective at detecting hardware Trojans in integrated circuits (ICs). However, most detection techniques rely on large external probes and ant…