1 citations · 1 across the 4 of their papers we have counts for
5 papers
Can Spiking Neural Networks play pinball? A neuromorphic motion detector for target tracking
Mazdak Fatahi, Šárka Pryjmaková, Pierre Boulet +1
Biological visual systems achieve continuous, low-latency motion perception by processing sparse, asynchronous spiking signals, enabling real-time tracking under strict energy cons…
Event-based Selective Attention for Multi-resolution Fast Region of Interest (ROI) Detection
Luca Peres, Giulia D'Angelo, Chiara Bartolozzi +1
Neuromorphic vision systems operate under strict constraints on bandwidth, memory, and energy, particularly at the edge, motivating early mechanisms for data reduction and selectiv…
Efficient Semantic Understanding from Digital Foveation
Caterina Caccavella, Vittorio Fra, Andreas Ziegler +2
Dense semantic segmentation allocates computational resources uniformly across the entire image, regardless of scene complexity or task relevance. Inspired by biological vision, we…
Neuromorphic visual attention for Sign-language recognition on SpiNNaker
Sarka Liskova, Olha Vedmedenko, Mazdak Fatahi +3
Sign-language recognition has achieved substantial gains in classification accuracy in recent years; however, the latency and power requirements of most existing methods limit thei…
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…