Zobrazeno 1 - 10
of 425
pro vyhledávání: '"Iuzzolino P"'
Autor:
Tan, Reuben, De Lange, Matthias, Iuzzolino, Michael, Plummer, Bryan A., Saenko, Kate, Ridgeway, Karl, Torresani, Lorenzo
Long-term activity forecasting is an especially challenging research problem because it requires understanding the temporal relationships between observed actions, as well as the variability and complexity of human activities. Despite relying on stro
Externí odkaz:
http://arxiv.org/abs/2307.12854
Autor:
De Lange, Matthias, Eghbalzadeh, Hamid, Tan, Reuben, Iuzzolino, Michael, Meier, Franziska, Ridgeway, Karl
In egocentric action recognition a single population model is typically trained and subsequently embodied on a head-mounted device, such as an augmented reality headset. While this model remains static for new users and environments, we introduce an
Externí odkaz:
http://arxiv.org/abs/2307.05784
Autor:
Alessandro De Cassai, Margherita Iuzzolino, Silvia De Pinto, Giovanni Zecchino, Tommaso Pettenuzzo, Annalisa Boscolo, Eugenio Biamonte, Paolo Navalesi, Marina Munari
Publikováno v:
Korean Journal of Anesthesiology, Vol 77, Iss 4, Pp 450-454 (2024)
Background Bleeding incidents during percutaneous dilatational tracheostomy are concerning, and most cases occur in patients with unrecognized and unanticipated anatomical variations in the vascular anatomy. However, the extent of this variation rema
Externí odkaz:
https://doaj.org/article/782a7171d9ba4b65814f36a3ed7410d8
Autor:
Patel, Dhruvesh, Eghbalzadeh, Hamid, Kamra, Nitin, Iuzzolino, Michael Louis, Jain, Unnat, Desai, Ruta
In our pursuit of advancing multi-modal AI assistants capable of guiding users to achieve complex multi-step goals, we propose the task of "Visual Planning for Assistance (VPA)". Given a succinct natural language goal, e.g., "make a shelf", and a vid
Externí odkaz:
http://arxiv.org/abs/2304.09179
Given video demonstrations and paired narrations of an at-home procedural task such as changing a tire, we present an approach to extract the underlying task structure -- relevant actions and their temporal dependencies -- via action-centric task gra
Externí odkaz:
http://arxiv.org/abs/2302.05330
Autor:
Raffaele Dubbioso, Myriam Spisto, Laura Verde, Valentina Virginia Iuzzolino, Gianmaria Senerchia, Elena Salvatore, Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract This paper describes a new publicly-available database of VOiCe signals acquired in Amyotrophic Lateral Sclerosis (ALS) patients (VOC-ALS) and healthy controls performing different speech tasks. This dataset consists of 1224 voice signals re
Externí odkaz:
https://doaj.org/article/f036e7d209b14cdfbdf7568c32677c31
Autor:
Owen Martin, Chantal Nguyen, Raphael Sarfati, Murad Chowdhury, Michael L. Iuzzolino, Dieu My T. Nguyen, Ryan M. Layer, Orit Peleg
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Many nocturnally active fireflies use precisely timed bioluminescent patterns to identify mates, making them especially vulnerable to light pollution. As urbanization continues to brighten the night sky, firefly populations are under constan
Externí odkaz:
https://doaj.org/article/b2859e36a20f4f679e1380a03e16ead3
Autor:
Savarese, Salvatore, Schipani, Pietro, Capasso, Giulio, Colapietro, Mirko, D'Orsi, Sergio, Iuzzolino, Marcella, Marty, Laurent, Perrotta, Francesco, Basile, Giacomo
This paper presents an integrated modeling software to analyze the PSF of wide-field telescopes affected by misalignments. Even relatively small misalignments in the optical system of a telescope can significantly deteriorate the image quality by int
Externí odkaz:
http://arxiv.org/abs/2112.06857
Real world learning scenarios involve a nonstationary distribution of classes with sequential dependencies among the samples, in contrast to the standard machine learning formulation of drawing samples independently from a fixed, typically uniform di
Externí odkaz:
http://arxiv.org/abs/2109.05675
Although deep feedforward neural networks share some characteristics with the primate visual system, a key distinction is their dynamics. Deep nets typically operate in serial stages wherein each layer completes its computation before processing begi
Externí odkaz:
http://arxiv.org/abs/2102.09808