Banner
Home      Log In      Contacts      FAQs      INSTICC Portal
 
Documents

Event Chairs

VISIGRAPP Conference Chair


Kadi Bouatouch
IRISA, University of Rennes 1
France
http://people.irisa.fr/Kadi.Bouatouch


Brief Bio
Professor Kadi Bouatouch is an electronics and automatic systems engineer (ENSEM 1974). He was awarded a PhD in 1977 (University of Nancy 1, France) and a higher doctorate on computer science in the field of computer graphics in 1989 (University of Rennes 1, France). He is/was working on global illumination, lighting simulation for complex environments, GPU based rendering, HDR imaging and computer vision. He is currently Emeritus Professor at the university of Rennes 1 (France) and researcher at IRISA Rennes (Institut de Recherche en Informatique et Systèmes Aléatoires). He was the head of the FRVSense team with in IRISA. He was/is member of the program committee of several conferences and workshops and reviewer for several Computer Graphics journals such as: The Visual Computer, ACM Trans. On Graphics, IEEE Computer Graphics and Applications, IEEE Trans. On Visualization and Computer Graphics, IEEE Trans. On image processing, etc. He also acted as a reviewer for many conferences and workshops. He has reported for several PhD theses or higher doctorates in France and abroad (USA, UK, Belgium, Cyprus, The Netherlands, Spain, Germany, Algeria, etc.). He was an associate editor for the Visual Computer Journal. ... More >>

 

Program Co-Chairs


Giovanni Maria Farinella
Dipartimento di Matematica e Informatica, Università di Catania
Italy
www.dmi.unict.it/farinella


Brief Bio
Giovanni Maria Farinella obtained the degree in Computer Science (egregia cum laude) from the University of Catania, Italy, in 2004. He is Founder Member of the IPLAB Research Group at University of Catania since 2005. He was awarded a Doctor of Philosophy (Computer Vision) from the University of Catania in 2008. He is currently a Full Professor at the Department of Mathematics and Computer Science, University of Catania, Italy. His research interests lie in the fields of Computer Vision, Pattern Recognition and Machine Learning, with focus on First Person (Egocentric) Vision. He is Associate Editor of the intern ational journals IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition - Elsevier and IET Computer Vision. He has been serving as Area Chair for CVPR 2020/21/22, ICCV 2017/19/21, ECCV 2020, BMVC 2020, WACV 2019, ICPR 2018, and as Program Chair of ECCV 2022, ICIAP 2021 and VISAPP 2019/20/21/22/23. Giovanni Maria Farinella founded (in 2006) and currently directs the International Computer Vision Summer School. He also founded (in 2014) and currently directs the Medical Imaging Summer School. He is member of the European Laboratory for Learning and Intelligent Systems (ELLIS), Senior Member of the IEEE Computer Society, Scientific Advisor of the NVIDIA AI Technology Centre (NVAITC), and board member of the CINI Laboratory of Artificial Intelligence and Intelligent Systems (lead of the area AI for Industry - since 2021). He was awarded the PAMI Mark Everingham Prize 2017. In addition to academic work, Giovanni's industrial experience includes scientific advisorship to different national and international companies and startups, as well as the leadership as Founder and Chief Scientific Officer of Next Vision - Spinoff of the University of Catania. ... More >>


Petia Radeva
Mathematics and Computer Science, Universitat de Barcelona
Spain


Brief Bio
Prof. Petia Radeva is a Full professor at the Universitat de Barcelona (UB), Head of the Consolidated Research Group “Artificial Intelligence and Biomedical Applications (AIBA)” at the University of Barcelona. Her main interests are in Machine/Deep learning and Computer Vision and their applications to health. Specific topics of interest: data-centric deep learning, uncertainty modeling, self-supervised learning, continual learning, learning with noisy labeling, multi-modal learning, NeRF, food recognition, food ontology, etc. She is an Associate editor in Chief of Pattern Recognition journal and International Jo urnal of Visual Communication and Image Representation. She is a Research Manager of the State Agency of Research (Agencia Estatal de Investigación, AEI) of the Ministry of Science and Innovation of Spain. She supervised 24 PhD students and published more than 100 SCI journal publications and 250 international chapters and proceedings. Petia Radeva belongs to the top 2% of the World ranking of scientists with the major impact in the field of TIC according to the citations indicators of the popular ranking of Stanford.  Moreover, she was awarded IAPR Fellow since 2015, ICREA Academia’2015 and ICREA Academia’2022 assigned to the 30 best scientists in Catalonia for her scientific merits, received several international and national awards (“Aurora Pons Porrata”, Prize “Antonio Caparrós” ). ... More >>

 

Associate Chairs


Area: Image and Video Formation, Preprocessing and Analysis
Dario Allegra
University of Catania
Italy


Brief Bio
Dario Allegra received his bachelor’s degree in computer science in 2012 and his master’s degree in 2014 from University of Catania. He received a Ph.D. in Mathematics and Computer Science in 2018 from University of Catania and he has conducted his research at University of Bern as guest Ph.D. student in 2017. He is currently a research fellow at the Department of Mathematics and Computer Science at University of Catania. He has authored over 40 research papers in international journals and conferences, has served as guest editor for a special issue in international journal and has been chairs of multiple worksho ps. His research interests lie in the fields of Machine Learning and Computer vision and mainly focus on food images understanding and cultural heritage preservation and valorization. ... More >>


Area: Image and Video Formation, Preprocessing and Analysis
Gianluigi Ciocca
University of Milano-Bicocca
Italy
http://www.ivl.disco.unimib.it/people/gianluigi-ciocca/


Brief Bio
Gianluigi Ciocca is currently an associate professor at University of Milano-Bicocca (Italy). From 1998 to 2003 he has been a fellow at the Institute of Multimedia Information Technologies of the Italian National Research Council where his research has focused on the development of systems for the management of image and video databases and the development of new methodologies and algorithms for automatic indexing. In 2003 he joined the Imaging and Vision Laboratory of University of Milano-Bicocca. Since 2014 he is also a member of NeuroMi, the Milan Center for Neuroscience (Italy). He obtained the MSc degree in Computer Science from the University of Milano (Italy) in 1998. In 2006 he received a Doctor in Philosophy degree (PhD) in Computer Science from the University of Milano-Bicocca (Italy). His current research interests focus on image and video analysis and understandings, pattern recognition, and machine learning algorithms. ... More >>


Area: Image and Video Understanding
Mariella Dimiccoli
Institut de Robòtica i Informàtica Industrial (CSIC-UPC)
Spain
https://www.iri.upc.edu/people/mdimiccoli/


Brief Bio
Mariella Dimiccoli is a tenured research associate at the Institut de Robòtica i Informàtica Industrial (IRII), a joint Research Center of the Spanish Council for Scientific Research (CSIC) and the Technical University of Catalonia (UPC). She holds a MSc degree in Computer Engineering from the Polytechnic University of Bari, Italy, and a PhD in Signal Theory and Communications from the Technical University of Catalonia, Spain. Prior to joining the IRII, she conducted research in several prestigious academic institutions within and outside Europe, including the Ecole Normale Supèrieure de Cachan (France), the Coll ège de France (France), the Computer Vision Center (Spain) and the University of Texas at Austin (US).

Throughout these experiences, her research interests have revolved around image and video understanding, using various methodological frameworks and exploring different application domains. Her current research interests lie in the areas of Machine Learning and Computer Vision with focus on representation learning and unsupervised approaches, both in structural and non-structural scenarios.
Her research output consists of more than sixty peer reviewed international publications, 2 best paper awards (IbPRIA 2017, ICIP 2019 top 10%), and several funded research projects.

She has been the recipient of several highly competitive and prestigious research fellowships, including a Marie Curie cofund fellowship in 2014, a Ramón y Cajal fellowship in 2018, a Humboldt fellowship for experienced researchers in 2022. In 2020 she has been nominated by the CSIC to join AcademiaNet - the expert database for outstanding female academics.
... More >>


Area: Image and Video Understanding
Fabio Galasso
Sapienza University of Rome
Italy
https://fgalasso.bitbucket.io/


Brief Bio
Prof. Fabio Galasso heads the Perception and Intelligence Lab at the Computer Science Department of Sapienza University in Rome (Italy), with the goal of fundamental research and innovation transfer in computer vision and machine learning. Prior to Sapienza, he also conducted research at the University of Cambridge (UK) and at the Max Planck Institute for Informatics (Germany). Research achievements include several national (German) and 2 international (European) funded research projects, the 1st place at the UA-DETRAC'17 international competition for vehicle detection and the 3rd place for vehicle tracking at UA -DETRAC'18. He has been area and industrial chair at top international conferences and co-organizer of international workshops.

Besides academics, Prof. Galasso founded and directed the Computer Vision Department at OSRAM (Munich, Germany), world-wide leader in photonics. He cared about the entire life cycle of ideas, from the creation of new value propositions to the implementation of prototypes and pilots. Innovation transfer achievements include pilot installations at large industrial partners such as Edeka and Vodafone and the creation of a new product, named VISN, which was awarded the 2019 IoT/WT Innovation World Cup, the 2019 Digital Champions Award, and the 2018 Deutscher Digital Award. He is inventor of 23 granted patents.
... More >>


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), U
niversity 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: 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: Mobile and Egocentric Vision for Humans and Robots
Antonino Furnari
University of Catania
Italy
http://www.antoninofurnari.it/


Brief Bio
Antonino Furnari is an Assistant Professor at the University of Catania. He received his PhD in Mathematics and Computer Science in 2017 from the University of Catania and authored one patent and more than 50 papers in international book chapters, journals and conference proceedings. Antonino Furnari is involved in the organization of different international events, such as the Assistive Computer Vision and Robotics (ACVR) workshop series (since 2016), the International Computer Vision Summer School (ICVSS) (since 2017), and the Egocentric Perception Interaction and Computing (EPIC) workshop series (since 2018) a nd the EGO4D workshop series (since 2022). Since 2018, he has been involved in the collection, release, and maintenance of the EPIC-KITCHENS dataset series, and in particular in the egocentric action anticipation and action detection challenges. Since 2021, he has been involved in the collection and benchmarking of the EGO4D dataset. He is co-founder of NEXT VISION s.r.l., an academic spin-off the the University of Catania since 2021. His research interests concern Computer Vision, Pattern Recognition, and Machine Learning, with focus on First Person Vision. More information is available at http://www.antoninofurnari.it/. ... More >>


Area: Mobile and Egocentric Vision for Humans and Robots
Dimitri Ognibene
Università degli studi Milano-Bicocca, Italy and University of Essex
United Kingdom


Brief Bio
Dimitri Ognibene is Associate Professor of Human Technology Interaction at the University of Milan-Bicocca, Italy. His main interest lies in understanding how social agents with limited sensory and computational resources can adapt to complex and uncertain environments, how this can induce suboptimal behaviors such as addiction or antisocial behaviors, and how this understanding can be applied to real life problems. To this end it develops both neural and Bayesian models and applies them both in the physical field, e.g., robots, and virtual, e.g., social media, settings.

Before joining Milano Bicocca
University, he was at the University of Essex as Lecturer in Computer Science and Artificial Intelligence from October 2017 having moved from University Pompeu Fabra (Barcelona, Spain) where he was a Marie Curie Actions COFUND fellow. Previously he developed algorithms for active vision in industrial robotic tasks as a Research Associate (RA) at Centre for Robotics Research, Kings’ College London. He developed Bayesian methods and robotic models for attention in social and dynamic environments as an RA at the Personal Robotics Laboratory in Imperial College London. He studied the interaction between active vision and autonomous learning in neuro-robotic models as an RA at the Institute of Cognitive Science and Technologies of the Italian Research Council (ISTC CNR). He also collaborated with the Wellcome Trust Centre for Neuroimaging (UCL) to study how to model exploration in the active inference modelling paradigm. He has 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. He obtained his PhD in Robotics in 2009 from University of Genoa with a thesis titled “Ecological Adaptive Perception from a Neuro-Robotic perspective: theory, architecture and experiments” and graduated in Information Engineering at the University of Palermo in 2004. He is associate editor of "Cognitive Computation and Systems", handling editor of "Cognitive Processing", review editor for "Paladyn, The journal of Behavioral Robotics", "Frontiers Bionics and Biomimetics", and "Frontiers Computational Intelligence in Robotics", guest associate editor for "Frontiers in Neurorobotics", "Frontiers in Cognitive Neuroscience" and section "Systems & Control Engineering" of Electronics published by MDPI. He has been chair of the robotics area of several conferences (e.g. VISAPP) and workshops. ... More >>


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 70 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 five Ph.D. candidates and has been part icipant in the EU H2020 project 4NSEEK. His research interests include brain-inspired computing with applications to medical, forensic, astronomy and first-person vision. ... More >>


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


Brief Bio
Dr. Keiji Yanai is a professor at Department of Informatics, the University of Electro-Communications, Tokyo. His recent research interests include object recognition, Web multimedia processing, social media mining, and food-related multimedia processing. Especially, he has been working on food image recognition since 2008 and created one of the major food image datasets, UEC-FOOD 100/256. He served as conference/workshop organizing members including a general co-chair of IEEE MIPR2021, a technical program co-chair of ACM ICMR 2018 and a co-organizer of MADiMa, and as TPC members/reviewers in major conferences and journals in the multimedia and computer vision field. ... More >>

footer