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Event Chairs

VISIGRAPP Conference Chair


Jose Braz
Escola Superior de Tecnologia de Setúbal
Portugal
http://ltodi.est.ips.pt


Brief Bio
Not Available

 

Program Co-Chairs


Giovanni Maria Farinella
Università di Catania
Italy
www.dmi.unict.it/farinella


Brief Bio
Giovanni Maria Farinella received the M.S. degree in Computer Science (egregia cum laude) from the University of Catania, Italy, in 2004, and the Ph.D. degree in computer science in 2008. He joined the Image Processing Laboratory (IPLAB) at the Department of Mathematics and Computer Science, University of Catania, in 2008. His research interests lie in the fields of computer vision, pattern recognition and machine learning. He has edited five volumes and coauthored more than 100 papers in international journals, conference proceedings and book chapters. He is a co-inventor of five international patents. He serves as a reviewer and on the programme committee for major international journals and international conferences. He founded (in 2006) and currently directs the International Computer Vision Summer School (ICVSS). ... More >>


Petia Radeva
Computer Vision Center, Universitat de Barcelona
Spain
www.cvc.uab.es


Brief Bio
Prof. Petia Radeva completed her undergraduate study on Applied Mathematics and Informatics at the University of Sofia, Bulgaria, in 1989. In 1996, she received a Ph.D. degree in Computer Vision at UAB. In 2007, she moved as Tenured Associate professor at the Universitat de Barcelona (UB), Department of Mathematics and Informatics, where from 2009 to 2013 she was Director of Computer Science Undergraduate Studies. In 2018, Petia Radeva became Full professor at the Universitat de Barcelona. Petia Radeva is Head of the Consolidated Group Computer Vision at the University of Barcelona (CVUB) at UB (www.ub.edu/cvub) and Head of the Medical Imaging Laboratory of Computer Vision Center (www.cvc.uab.es). Petia Radeva’s research interests are on Development of learning-based approaches (especially, deep learning) for computer vision, and their application to health. Currently, she is involved on projects that study the application of wearable cameras and life-logging, to extract visual diary of individuals to be used for memory reinforcement of patients with mental diseases (e.g. Mild cognitive impairment). Moreover, she is exploring how to extract semantically meaningful events that characterize lifestyle and healthy habits of people from egocentric data. Petia Radeva is Principal Investigator of the Universitat de Barcelona in two European projects devoted to food intake monitoring for patients with kidney transplants and for older people. There her team applies most recent and advanced methods for food image analysis using Deep learning models. Petia Radeva is REA-FET-OPEN vice-chair from 2015 and has actively participated from 2018 as a mentor in the Wild Cards EIT program. Petia Radeva is associate editor of Pattern Recognition journal and International Journal of Visual Communication and Image Representation. She obtained the ICREA award from the Catalonian Government for her scientific merits in 2014, the international award “Aurora Pons Porrata” from CIARP in 2016 and the Prize “Antonio Caparrós” for the best technology transfer project of 2013. ... More >>

 

Area Chairs


Area: Applications and Services
George Azzopardi
University of Groningen, Netherlands and University of Malta
Malta
http://www.cs.rug.nl/~george


Brief Bio
George Azzopardi is assistant professor of computer science at the University of Groningen, the Netherlands. In 2013, he received PhD cum laude in computer science from the same University, and before that he received BSc (Hons) and MSc degrees in computer science from the Goldsmiths, and Queen Mary Universities of London, respectively. He is (co)-author of more than 60 peer-reviewed publications, co-edited two volumes of conference proceedings and two special issues, and is associate editor of the journals Pattern Recognition and Pattern Recognition Letters. He co-promoted three Ph.D. candidates and is also a pa rticipant in the EU H2020 project 4NSEEK. His research interests include pattern recognition, machine learning, signal processing, medical image analysis, and information. ... More >>


Area: Image and Video Formation, Preprocessing and Analysis
Raimondo Schettini
University of Milano - Bicocca
Italy


Brief Bio
Raimondo Schettini is a professor at the University of Milano Bicocca (Italy). He is head of the Imaging and Vision Lab. He has been associated with the Italian National Research Council since 1987, where he led the color imaging lab from 1990 to 2002. He has been a team leader in several research projects and published more than 300 refereed papers and eight patents about color reproduction, and image processing, analysis, and classification. He is a fellow of the International Association of Pattern Recognition for his contributions to pattern recognition research and color image analysis.


Area: Image and Video Formation, Preprocessing and Analysis
Filippo Stanco
Università di Catania
Italy
www.dmi.unict.it/fstanco


Brief Bio
... More >>


Area: Image and Video Understanding
Mariella Dimiccoli
University of Barcelona
Spain


Brief Bio
... More >>


Area: Image and Video Understanding
Fabio Galasso
OSRAM GmbH
Germany
http://fabiogalasso.org/


Brief Bio
Dr Fabio Galasso heads the Computer Vision Department at OSRAM (Munich, Germany), an international team conducting R&D in artificial intelligence, computer vision and machine learning, in relation to smart lighting applications. Prior to OSRAM, Fabio has conducted academic research and piloted novel research directions in video analysis at the University of Cambridge (UK) and at the Max Planck Institute for Informatics (Germany). He received his Master's Degree cum laude from the RomaTre University (Italy) and his PhD from the University of Cambridge (UK). Fabio is an active member of the computer vision and ma chine learning community and served recently as area chair at international conferences, as reviewer for journals and conferences and as co-chair of international workshops. ... More >>


Area: Mobile and Egocentric Vision for Humans and Robots
Antonino Furnari
University of Catania
Italy


Brief Bio
Antonino Furnari is a postdoctoral fellow at the University of Catania. He received his bachelor's degree and master's degree in computer science (both magna cum laude) in 2010 and 2013 respectively from the University of Catania. He received his PhD in Mathematics and Computer Science in 2016 from the University of Catania. He is member of the IPLAB (University of Catania) research group since 2012 and, since 2013, he is a research member of the joint laboratory STMicroelectronics - University of Catania, Italy. He is author or co-author of more than 30 papers in international book chapters, international journa ls and international conference proceedings. Since 2017 he serves as a contract professor at the Department of Mathematics and Computer science, University of Catania, Italy. Since 2017 he serves as academic assessment chair at the International Computer Vision Summer School (ICVSS). His research interests concern Computer Vision, Pattern Recognition, and Machine Learning, with focus on First Person Vision. Personal web page: http://dmi.unict.it/~furnari ... More >>


Area: Mobile and Egocentric Vision for Humans and Robots
Dimitri Ognibene
University of Essex
United Kingdom


Brief Bio
Dimitri Ognibene, PhD, has joined University of Essex as Lecturer in Computer Science and Artificial Intelligence in October 2017. His research interests span from Robotics and Machine Learning to Computational Neuroscience. He aims to endow adaptive artificial systems with the exploratory skills and active perception capabilities necessary to tackle complex social environments. He was Marie Curie Fellow at Universitat Pompeu Fabra, focusing on the development of algorithms for intelligent social agents with bounded computational and sensory resources. Before he has been developing algorithms for active vision i n industrial robotic tasks as a Research Associate (RA) at Centre for Robotics Research, Kings College London; devising Bayesian methods and robotic models for attention in social and dynamic environments as a RA at the Personal Robotics Laboratory in Imperial College London. During his PhD he studied the interaction between active vision and autonomous learning in neuro-robotic models at the Institute of Cognitive Science and Technologies of the Italian Research Council (ISTC CNR). He also collaborated with Wellcome Trust Centre for Neuroimaging (UCL) to address the exploration issue in Predictive Coding, the currently dominant neurocomputational modelling paradigm. Dr Ognibene has also been Visiting Researcher at Bounded Resource Reasoning Laboratory in UMass and at University of Reykjavik (Iceland) exploring the symmetries between active sensor control and active computation or metareasoning. Dr Ognibene presented his work in several international conferences on artificial intelligence (IJCAI), adaptation (SAB), and development (ICDL) and published on international peer-reviewed journals. Dr Ognibene was invited to speak at the International Symposium for Attention in Cognitive Systems (2013 and 2014) as well as in other various neuroscience, robotics and machine-learning international venues. In 2017, he organised a workshop on Active Vision in Human Robot Collaboration at ICIAP2017. Dr Ognibene is Associate Editor of Paladyn, Journal of Behavioral Robotics, Review Editor for Frontiers in Bionics and Biomimetics, as well as in Computational Intelligence. He has been part of the chair or program committee member of several international conferences and symposiums. ... More >>


Area: Motion, Tracking and Stereo Vision
Jun Sato
Nagoya Institute of Technology
Japan


Brief Bio
Jun Sato received Ph.D. degree from the University of Cambridge in 1997, and he is currently a professor at Nagoya Institute of Technology, Japan. He received the Best Scientific Paper Award at the British Machine Vision Conference in 1994 and 1997. He published more than 200 papers in journals and conference proceedings about 3D reconstruction, visualization and imaging. He is an associate editor of the International Journal of Computer Vision (IJCV).


Area: Motion, Tracking and Stereo Vision
Sophia Bano
University College London
United Kingdom
https://sophiabano.github.io/


Brief Bio
Sophia Bano is a Research Associate at the University College London (UK) where she is associated with the Surgical Robot Vision Group in the Centre for Medical Imaging Computing (CMIC) and Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS). She received a Bachelor in Mechatronics Engineering and Master in Electrical Engineering degrees from the National University of Sciences and Technology, Pakistan. Following this, she secured the Erasmus Mundus Scholarship for the highly competitive MSc in Computer Vision and Robotics (VIBOT) programme run jointly by the Heriot-Watt University (UK), Unive rsity of Girona (Spain) and University of Burgundy (France) in which she achieved a distinction in 2011. This was followed, after an internship at the Imperial College London (UK), by a successful joint PhD in Interactive and Cognitive Environments in 2015, under the Erasmus Mundus Fellowship, from the Queen Mary University of London (UK) and Technical University of Catalonia (Spain). After completing her PhD in 2016, she joined the Computer Vision and Image Processing group at the University of Dundee (UoD) as a Post- doctoral Research Assistant, before joining University College London in June 2018. Her fields of research include Computer Vision, Surgical Vision, Medical Imaging and Machine Learning, with a focus on semantic understanding and registration in videos. ... More >>


Area: Applications and Services
Keiji Yanai
The University of Electro-Communications, Tokyo
Japan


Brief Bio
... More >>

 

Local Co-Chairs


Sandro Spina
University of Malta
Malta


Brief Bio
Sandro Spina is a lecturer at the Department of Computer Science, University of Malta. He has completed his Ph.D. at the University of Warwick and his undergraduate studies at the University of Malta. His main research interest is computer graphics in particular high-fidelity rendering, scene acquisition and understanding. He is also interested in the development of serious games through collaborations with researchers from a variety of disciplines. He currently forms part of the Computer Graphics and Visualisation Group set up at the Faculty of ICT.


Keith Bugeja
University of Malta
Malta


Brief Bio
... More >>

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