Compressed event sensing (CES) volumes for event cameras

• Main Authors: Lin, Songnan, Ma, Ye, Chen, Jing, Wen, Bihan
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Data representation; Compressed sensing
• Online Access: https://hdl.handle.net/10356/180781
• Institution: Nanyang Technological University

Deep learning has made significant progress in event-driven applications. But to match standard vision networks, most approaches rely on aggregating events into grid-like representations, which obscure crucial temporal information and limit overall performance. To address this issue, we propose a no...