10 papers
Why does Deep Learning Improve Visual SLAM?
Giovanni Cioffi, Davide Scaramuzza
Visual SLAM is a well-established technology utilized in a wide range of real-world applications. However, its performance still degrades under challenging visual conditions, such…
Generative Event Pretraining with Foundation Model Alignment
Jianwen Cao, Jiaxu Xing, Nico Messikommer +1
Event cameras provide robust visual signals under fast motion and challenging illumination conditions thanks to their microsecond latency and high dynamic range. However, their uni…
Event-Aided Sharp Radiance Field Reconstruction for Fast-Flying Drones
Rong Zou, Marco Cannici, Davide Scaramuzza
Fast-flying aerial robots promise rapid inspection under limited battery constraints, with direct applications in infrastructure inspection, terrain exploration, and search and res…
Event-Based De-Snowing for Autonomous Driving
Manasi Muglikar, Nico Messikommer, Marco Cannici +1
Adverse weather conditions, particularly heavy snowfall, pose significant challenges to both human drivers and autonomous vehicles. Traditional image-based de-snowing methods often…
Egocentric Event-Based Vision for Ping Pong Ball Trajectory Prediction
Ivan Alberico, Marco Cannici, Giovanni Cioffi +1
In this paper, we present a real-time egocentric trajectory prediction system for table tennis using event cameras. Unlike standard cameras, which suffer from high latency and moti…
Reading in the Dark with Foveated Event Vision
Carl Brander, Giovanni Cioffi, Nico Messikommer +1
Current smart glasses equipped with RGB cameras struggle to perceive the environment in low-light and high-speed motion scenarios due to motion blur and the limited dynamic range o…