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pro vyhledávání: '"Lanzi, Fabio"'
Autor:
Fabbri, Matteo, Lanzi, Fabio, Gasparini, Riccardo, Calderara, Simone, Baraldi, Lorenzo, Cucchiara, Rita
In this document, we report our proposal for modeling the risk of possible contagiousity in a given area monitored by RGB cameras where people freely move and interact. Our system, called Inter-Homines, evaluates in real-time the contagion risk in a
Externí odkaz:
http://arxiv.org/abs/2007.10243
In this paper we present a novel approach for bottom-up multi-person 3D human pose estimation from monocular RGB images. We propose to use high resolution volumetric heatmaps to model joint locations, devising a simple and effective compression metho
Externí odkaz:
http://arxiv.org/abs/2004.00329
Autor:
Fabbri, Matteo, Borghi, Guido, Lanzi, Fabio, Vezzani, Roberto, Calderara, Simone, Cucchiara, Rita
Can faces acquired by low-cost depth sensors be useful to catch some characteristic details of the face? Typically the answer is no. However, new deep architectures can generate RGB images from data acquired in a different modality, such as depth dat
Externí odkaz:
http://arxiv.org/abs/1901.08101
Autor:
Fabbri, Matteo, Lanzi, Fabio, Calderara, Simone, Palazzi, Andrea, Vezzani, Roberto, Cucchiara, Rita
Multi-People Tracking in an open-world setting requires a special effort in precise detection. Moreover, temporal continuity in the detection phase gains more importance when scene cluttering introduces the challenging problems of occluded targets. F
Externí odkaz:
http://arxiv.org/abs/1803.08319
Akademický článek
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Publikováno v:
Perioperative Hemostasis; 2015, p45-63, 19p
Akademický článek
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Autor:
Spiegel, Rainer, Stalder, Magnus, Tisljar, Kai, Lederer, Heidi, Lanzi, Fabio, Semmlack, Saskia, Opic, Petra, Stocker, Silvie, Balestra, Gianmarco, Sutter, Raoul
Publikováno v:
Critical Care Medicine; 2019 Supplement, Vol. 47, p554-554, 1p
Publikováno v:
ICPR
Can faces acquired by low-cost depth sensors be useful to catch some characteristic details of the face? Typically the answer is no. However, new deep architectures can generate RGB images from data acquired in a different modality, such as depth dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd533e11f8f38602e41e8bbbba2a08c1
Autor:
Lederer H; Medical Intensive Care Units, University Hospital Basel, University of Basel, Switzerland., Stalder M; Medical Intensive Care Units, University Hospital Basel, University of Basel, Switzerland / Division of Internal Medicine, University Hospital Basel, University of Basel, Switzerland., Tisljar K; Medical Intensive Care Units, University Hospital Basel, University of Basel, Switzerland., Lanzi F; Medical Intensive Care Units, University Hospital Basel, University of Basel, Switzerland., Landmann E; Medical Intensive Care Units, University Hospital Basel, University of Basel, Switzerland / Division of Internal Medicine, University Hospital Basel, University of Basel, Switzerland., Mosimann T; Medical Intensive Care Units, University Hospital Basel, University of Basel, Switzerland., Zeeh F; Medical Intensive Care Units, University Hospital Basel, University of Basel, Switzerland / Division of Internal Medicine, University Hospital Basel, University of Basel, Switzerland., Zuercher S; Medical Intensive Care Units, University Hospital Basel, University of Basel, Switzerland., Mosimann V; Medical Intensive Care Units, University Hospital Basel, University of Basel, Switzerland / Division of Internal Medicine, University Hospital Basel, University of Basel, Switzerland., Spiegel R; Medical Intensive Care Units, University Hospital Basel, University of Basel, Switzerland / Division of Internal Medicine, University Hospital Basel, University of Basel, Switzerland., Sutter R; Medical Intensive Care Units, University Hospital Basel, University of Basel, Switzerland., Hunziker P; Medical Intensive Care Units, University Hospital Basel, University of Basel, Switzerland.
Publikováno v:
Swiss medical weekly [Swiss Med Wkly] 2018 Jul 12; Vol. 148, pp. w14639. Date of Electronic Publication: 2018 Jul 12 (Print Publication: 2018).