Alessandro Ortis
University of Catania
69 Papers
101 Citations
Alessandro Ortis is an academic researcher from University of Catania. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 10, co-authored 38 publications. Previous affiliations of Alessandro Ortis include Telecom Italia & STMicroelectronics.
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Papers
Survey on visual sentiment analysis
TL;DR: Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked emotions as mentioned in this paper, by considering different levels of granularity, as well as the components that can affect the sentiment toward an image in different ways.
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Organizing egocentric videos of daily living activities
Alessandro Ortis,Giovanni Maria Farinella,Valeria D'Amico,Luca Addesso,Giovanni Torrisi,Sebastiano Battiato +5 more
TL;DR: A system able to automatically organize egocentric videos acquired by the user over different days through an unsupervised temporal segmentation that outperforms with a good margin the state of the art in accuracy and computational time is proposed.
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The Face Deepfake Detection Challenge
Luca Guarnera,Oliver Giudice,Francesco Guarnera,Alessandro Ortis,Giovanni Puglisi,A. Paratore,Linh M. Q. Bui,Marco Fontani,Davide Coccomini,Roberto Caldelli,Fabrizio Falchi,Claudio Gennaro,Nicola Messina,Giuseppe Amato,Gianpaolo Perelli,S. Concas,Carlo Cuccu,Giulia Orrù,Gian Luca Marcialis,Sebastiano Battiato +19 more
TL;DR: The Face Deepfake Detection and Reconstruction Challenge was described and two different tasks were proposed to the participants: creating a Deepfake detector capable of working in an “in the wild” scenario; and creating a method capable of reconstructing original images from Deepfakes.
Detection and Classification of Pollen Grain Microscope Images
Sebastiano Battiato,Alessandro Ortis,Francesca Trenta,Lorenzo Ascari,Mara Politi,Consolata Siniscalco +5 more
- 01 Jun 2020
TL;DR: This paper presents a dataset composed of more than 13.000 objects, identified by an appropriate segmentation pipeline applied on aerobiological samples, and presents the results obtained from the classification of these objects by taking advantage of several Machine Learning techniques.
Survey on Visual Sentiment Analysis
TL;DR: This paper considers a structured formalization of the problem, usually used for the analysis of text, and discusses it's suitability in the context of Visual Sentiment Analysis, and describes principles of design of general Visual Sentiments Analysis systems from three main points of view.
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