Zobrazeno 1 - 10
of 1 370
pro vyhledávání: '"Bonazzi, P."'
Autor:
Bian, Sizhen, Kang, Pixi, Moosmann, Julian, Liu, Mengxi, Bonazzi, Pietro, Rosipal, Roman, Magno, Michele
Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) have garnered significant interest across various domains, including rehabilitation and robotics. Despite advancements in neural network-based EEG decoding, maintaining performance acr
Externí odkaz:
http://arxiv.org/abs/2409.00083
Autor:
Bonazzi, Francesco, Weikl, Thomas R.
Besides direct molecular interactions, proteins and nanoparticles embedded in or adsorbed to membranes experience indirect interactions that are mediated by the membranes. These membrane-mediated interactions arise from the membrane curvature induced
Externí odkaz:
http://arxiv.org/abs/2407.04027
Autor:
Bonazzi, Pietro, Wang, Mengqi, Arroyo, Diego Martin, Manhardt, Fabian, Messikomer, Nico, Tombari, Federico, Scaramuzza, Davide
Synthesizing realistic and diverse indoor 3D scene layouts in a controllable fashion opens up applications in simulated navigation and virtual reality. As concise and robust representations of a scene, scene graphs have proven to be well-suited as th
Externí odkaz:
http://arxiv.org/abs/2404.01887
Autor:
Bonazzi, Pietro, Rakatosaona, Marie-Julie, Cannici, Marco, Tombari, Federico, Scaramuzza, Davide
Existing deep learning methods for the reconstruction and denoising of point clouds rely on small datasets of 3D shapes. We circumvent the problem by leveraging deep learning methods trained on billions of images. We propose a method to reconstruct p
Externí odkaz:
http://arxiv.org/abs/2404.01112
This paper addresses the growing interest in deploying deep learning models directly in-sensor. We present "Q-Segment", a quantized real-time segmentation algorithm, and conduct a comprehensive evaluation on a low-power edge vision platform with an i
Externí odkaz:
http://arxiv.org/abs/2312.09854
This paper introduces a neuromorphic methodology for eye tracking, harnessing pure event data captured by a Dynamic Vision Sensor (DVS) camera. The framework integrates a directly trained Spiking Neuron Network (SNN) regression model and leverages a
Externí odkaz:
http://arxiv.org/abs/2312.00425
Autor:
Moosmann, Julian, Bonazzi, Pietro, Li, Yawei, Bian, Sizhen, Mayer, Philipp, Benini, Luca, Magno, Michele
Smart glasses are rapidly gaining advanced functionality thanks to cutting-edge computing technologies, accelerated hardware architectures, and tiny AI algorithms. Integrating AI into smart glasses featuring a small form factor and limited battery ca
Externí odkaz:
http://arxiv.org/abs/2311.01057
Autor:
Bertin L, Crepaldi M, Zanconato M, Lorenzon G, Maniero D, De Barba C, Bonazzi E, Facchin S, Scarpa M, Ruffolo C, Angriman I, Buda A, Zingone F, Savarino EV, Barberio B
Publikováno v:
Clinical and Experimental Gastroenterology, Vol Volume 17, Pp 261-315 (2024)
Luisa Bertin,1 Martina Crepaldi,1 Miriana Zanconato,1 Greta Lorenzon,1 Daria Maniero,1 Caterina De Barba,1 Erica Bonazzi,1 Sonia Facchin,1 Marco Scarpa,2 Cesare Ruffolo,2 Imerio Angriman,2 Andrea Buda,3 Fabiana Zingone,1 Edoardo Vincenzo Savarino,1 B
Externí odkaz:
https://doaj.org/article/61ca8e7ece82421281b8e64755e3d3e9
Gaze estimation is a valuable technology with numerous applications in fields such as human-computer interaction, virtual reality, and medicine. This report presents the implementation of a gaze estimation system using the Sony Spresense microcontrol
Externí odkaz:
http://arxiv.org/abs/2308.12313
Publikováno v:
IEEE Sensors, Conference, Lecture, Vienna, 2023
Intelligent edge vision tasks encounter the critical challenge of ensuring power and latency efficiency due to the typically heavy computational load they impose on edge platforms.This work leverages one of the first "AI in sensor" vision platforms,
Externí odkaz:
http://arxiv.org/abs/2307.07813