Zobrazeno 1 - 10
of 28 746
pro vyhledávání: '"A Cavallaro"'
Jointly estimating hand and object shape ensures the success of the robot grasp in human-to-robot handovers. However, relying on hand-crafted prior knowledge about the geometric structure of the object fails when generalising to unseen objects, and d
Externí odkaz:
http://arxiv.org/abs/2412.07487
Autor:
Capozzi, Gianluca, Tang, Tong, Wan, Jie, Yang, Ziqi, D'Elia, Daniele Cono, Di Luna, Giuseppe Antonio, Cavallaro, Lorenzo, Querzoni, Leonardo
Binary function similarity, which often relies on learning-based algorithms to identify what functions in a pool are most similar to a given query function, is a sought-after topic in different communities, including machine learning, software engine
Externí odkaz:
http://arxiv.org/abs/2412.04163
Autor:
Szwarcman, Daniela, Roy, Sujit, Fraccaro, Paolo, Gíslason, Þorsteinn Elí, Blumenstiel, Benedikt, Ghosal, Rinki, de Oliveira, Pedro Henrique, Almeida, Joao Lucas de Sousa, Sedona, Rocco, Kang, Yanghui, Chakraborty, Srija, Wang, Sizhe, Kumar, Ankur, Truong, Myscon, Godwin, Denys, Lee, Hyunho, Hsu, Chia-Yu, Asanjan, Ata Akbari, Mujeci, Besart, Keenan, Trevor, Arevalo, Paulo, Li, Wenwen, Alemohammad, Hamed, Olofsson, Pontus, Hain, Christopher, Kennedy, Robert, Zadrozny, Bianca, Cavallaro, Gabriele, Watson, Campbell, Maskey, Manil, Ramachandran, Rahul, Moreno, Juan Bernabe
This technical report presents Prithvi-EO-2.0, a new geospatial foundation model that offers significant improvements over its predecessor, Prithvi-EO-1.0. Trained on 4.2M global time series samples from NASA's Harmonized Landsat and Sentinel-2 data
Externí odkaz:
http://arxiv.org/abs/2412.02732
Autor:
Guazzelli, Marcilei A., Avanzi, Luis H., Aguiar, Vitor A. P., Vilas-Bôas, Alexis C., Alberton, Saulo G., Masunaga, Sueli H., Chinaglia, Eliane F., Araki, Koiti, Nakamura, Marcelo, Toyama, Marcos M., Ferreira, Fabio F., Escote, Marcia T., Santos, Roberto B. B., Medina, Nilberto H., Oliveira, José Roberto B., Cappuzzello, Francesco, Cavallaro, Manuela
Publikováno v:
Diamond & Related Materials 151, 111803 (2025)
Highly Ordered Pyrolytic Graphite (HOPG) has been extensively researched due to its chemical and physical properties that make it suitable for applications in several technologies. Its high thermal conductivity makes HOPG an excellent heat sink, a cr
Externí odkaz:
http://arxiv.org/abs/2411.12737
Autor:
Carbone, D., Spatafora, A., Calvo, D., Guerra, F., Brischetto, G. A., Cappuzzello, F., Cavallaro, M., Ferrero, M., La Via, F., Tudisco, S.
Publikováno v:
Nuclear Instruments and Methods A 1069, 169960 (2024)
First prototypes of large area, p-n junction, silicon carbide (SiC) detectors have been produced as part of an ongoing programme to develop a new particle identification wall for the focal plane detector of the MAGNEX magnetic spectrometer, in prepar
Externí odkaz:
http://arxiv.org/abs/2411.03933
Autor:
Hrynenko, Olena, Cavallaro, Andrea
Privacy personas capture the differences in user segments with respect to one's knowledge, behavioural patterns, level of self-efficacy, and perception of the importance of privacy protection. Modelling these differences is essential for appropriatel
Externí odkaz:
http://arxiv.org/abs/2410.14023
Autor:
Baia, Alina Elena, Cavallaro, Andrea
Predicting and explaining the private information contained in an image in human-understandable terms is a complex and contextual task. This task is challenging even for large language models. To facilitate the understanding of privacy decisions, we
Externí odkaz:
http://arxiv.org/abs/2409.18674
Autor:
Bufano, F., Bordiu, C., Cecconello, T., Munari, M., Hopkins, A., Ingallinera, A., Leto, P., Loru, S., Riggi, S., Sciacca, E., Vizzari, G., De Marco, A., Buemi, C. S., Cavallaro, F., Trigilio, C., Umana, G.
Supernova remnants (SNRs) carry vast amounts of mechanical and radiative energy that heavily influence the structural, dynamical, and chemical evolution of galaxies. To this day, more than 300 SNRs have been discovered in the Milky Way, exhibiting a
Externí odkaz:
http://arxiv.org/abs/2409.06383
Due to the high cost of training, large model (LM) practitioners commonly use pretrained models downloaded from untrusted sources, which could lead to owning compromised models. In-context learning is the ability of LMs to perform multiple tasks depe
Externí odkaz:
http://arxiv.org/abs/2409.04142
Visual affordance segmentation identifies image regions of an object an agent can interact with. Existing methods re-use and adapt learning-based architectures for semantic segmentation to the affordance segmentation task and evaluate on small-size d
Externí odkaz:
http://arxiv.org/abs/2409.01814