4 papers
LiteEvent-AE: Lightweight Autoencoder for Event-Based Vision on Low-Latency Energy-Constrained Edge Devices
Riadul Islam, Joey Mule, Dhandeep Challagundla +3
Event-based vision has emerged as a promising paradigm for energy-aware artificial intelligence (AI), offering sparse, low-latency visual signals that reduce redundant data process…
EA: An Event Autoencoder for High-Speed Vision Sensing
Riadul Islam, Joey Mulé, Dhandeep Challagundla +2
High-speed vision sensing is essential for real-time perception in applications such as robotics, autonomous vehicles, and industrial automation. Traditional frame-based vision sys…
Event-Based Crossing Dataset (EBCD)
Joey Mulé, Dhandeep Challagundla, Rachit Saini +1
Event-based vision revolutionizes traditional image sensing by capturing asynchronous intensity variations rather than static frames, enabling ultrafast temporal resolution, sparse…
Descriptor: Face Detection Dataset for Programmable Threshold-Based Sparse-Vision
Riadul Islam, Sri Ranga Sai Krishna Tummala, Joey Mulé +5
Smart focal-plane and in-chip image processing has emerged as a crucial technology for vision-enabled embedded systems with energy efficiency and privacy. However, the lack of spec…