1 citations · 1 across the 1 of their papers we have counts for
6 papers
Wandering around: A bioinspired approach to visual attention through object motion sensitivity
Giulia D'Angelo, Victoria Clerico, Chiara Bartolozzi +3
Active vision enables dynamic visual perception, offering an alternative to static feedforward architectures in computer vision, which rely on large datasets and high computational…
LSTM Framework for Classification of Radar and Communications Signals
Victoria Clerico, Jorge Gonzalez-Lopez, Gady Agam +1
Although radar and communications signal classification are usually treated separately, they share similar characteristics, and methods applied in one domain can be potentially app…
Retina-Inspired Object Motion Segmentation for Event-Cameras
Victoria Clerico, Shay Snyder, Arya Lohia +4
Event-cameras have emerged as a revolutionary technology with a high temporal resolution that far surpasses standard active pixel cameras. This technology draws biological inspirat…
Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation
Jason Sinaga, Victoria Clerico, Md Abdullah-Al Kaiser +5
Recent advances in retinal neuroscience have fueled various hardware and algorithmic efforts to develop retina-inspired solutions for computer vision tasks. In this work, we focus…
Parallelized Multi-Agent Bayesian Optimization in Lava
Shay Snyder, Derek Gobin, Victoria Clerico +2
In parallel with the continuously increasing parameter space dimensionality, search and optimization algorithms should support distributed parameter evaluations to reduce cumulativ…
Transductive Spiking Graph Neural Networks for Loihi
Shay Snyder, Victoria Clerico, Guojing Cong +4
Graph neural networks have emerged as a specialized branch of deep learning, designed to address problems where pairwise relations between objects are crucial. Recent advancements…