320 citations · 522 across the 18 of their papers we have counts for
19 papers
Neuromorphic Object Detection: An In-Depth Study and Future Directions
Jianing Li, Dianze Li, Arren Glover +5
Conventional frame-based cameras face significant challenges in detecting objects under high-speed motion blur or in low-light environments. Neuromorphic cameras provide asynchrono…
Sup3r: A Semi-Supervised Algorithm for increasing Sparsity, Stability, and Separability in Hierarchy Of Time-Surfaces architectures
Marco Rasetto, Himanshu Akolkar, Ryad Benosman
The Hierarchy Of Time-Surfaces (HOTS) algorithm, a neuromorphic approach for feature extraction from event data, presents promising capabilities but faces challenges in accuracy an…
Flow-Based Visual Stream Compression for Event Cameras
Daniel C. Stumpp, Himanshu Akolkar, Alan D. George +1
As the use of neuromorphic, event-based vision sensors expands, the need for compression of their output streams has increased. While their operational principle ensures event stre…
An event-based implementation of saliency-based visual attention for rapid scene analysis
Camille Simon Chane, Ernst Niebur, Ryad Benosman +1
Selective attention is an essential mechanism to filter sensory input and to select only its most important components, allowing the capacity-limited cognitive structures of the br…
Building time-surfaces by exploiting the complex volatility of an ECRAM memristor
Marco Rasetto, Qingzhou Wan, Himanshu Akolkar +3
Memristors have emerged as a promising technology for efficient neuromorphic architectures owing to their ability to act as programmable synapses, combining processing and memory i…
Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition
Marco Rasetto, Juan P. Dominguez-Morales, Angel Jimenez-Fernandez +1
In recent years tremendous efforts have been done to advance the state of the art for Natural Language Processing (NLP) and audio recognition. However, these efforts often translat…