16 citations · 21 across the 4 of their papers we have counts for
6 papers
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…
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…
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow
Daniel C. Stumpp, Himanshu Akolkar, Alan D. George +1
Event-based vision sensors produce asynchronous event streams with high temporal resolution based on changes in the visual scene. The properties of these sensors allow for accurate…
Neutron-Induced, Single-Event Effects on Neuromorphic Event-based Vision Sensor: A First Step Towards Space Applications
Seth Roffe, Himanshu Akolkar, Alan D. George +2
This paper studies the suitability of neuromorphic event-based vision cameras for spaceflight, and the effects of neutron radiation on their performance. Neuromorphic event-based v…
Real-time high speed motion prediction using fast aperture-robust event-driven visual flow
Himanshu Akolkar, SioHoi Ieng, Ryad Benosman
Optical flow is a crucial component of the feature space for early visual processing of dynamic scenes especially in new applications such as self-driving vehicles, drones and auto…