5 papers
Event-Frame Fusion for Inter-Frame Segmentation via Event-Guided Motion
Dalia Hareb, Jean Martinet, Benoit Miramond +1
Autonomous navigation requires precise and efficient semantic segmentation, yet existing frame-based approaches remain limited by motion blur, glare, latency, and the low temporal…
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…
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…
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…
EvSegSNN: Neuromorphic Semantic Segmentation for Event Data
Dalia Hareb, Jean Martinet
Semantic segmentation is an important computer vision task, particularly for scene understanding and navigation of autonomous vehicles and UAVs. Several variations of deep neural n…