3 papers
cs.CV2026
SED:Lightweight Saliency prediction for Event-based data via Distillation
Romaric Mazna, Jean Martinet, Michele Magno
Event-based saliency prediction has gained attention recently, as combining event cameras with saliency estimation can act as an upstream stage that naturally improves the efficien…
cs.CV2026
Exploring deep learning for Event-Based Saliency Prediction with a Transformer-based model
Romaric Mazna, Jean Martinet, Sai Deepesh Pokala
Saliency prediction has been extensively studied in RGB images and videos as a computational model of human visual attention. In contrast, predicting saliency from event-based data…
cs.CV2025
Enhanced Neuromorphic Semantic Segmentation Latency through Stream Event
D. Hareb, J. Martinet, B. Miramond
Achieving optimal semantic segmentation with frame-based vision sensors poses significant challenges for real-time systems like UAVs and self-driving cars, which require rapid and…