Banner
Home      Log In      Contacts      FAQs      INSTICC Portal
 
Documents

Event Chairs

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 >>

 

GRAPP Program Co-Chairs


A. Augusto Sousa
FEUP/INESC TEC
Portugal


Brief Bio
Augusto Sousa (m) got his PhD in 1996 in FEUP (Faculty of Engineering of University of Porto, Portugal), in the area of Computer Graphics/Image Synthesis and Parallel Computing. He has been teaching in the same Faculty since 1983, in areas related to Computer Architectures and Computer Graphics.
He was member of the Executive Board of FEUP, being the Vice-President of the Academic Affairs Council, from 2014 to 2022. Between 2008 and 2014, he was the director of MIEIC - Master in Informatics Engineering and Computing (a 5 years master program). Since 1985, he has been a researcher in INESC/INESC Porto, where
he was the Coordinator of the Information Systems and Computer Graphics Unit. He has been supervisor of several doctoral and masters' theses, in various areas of Computer Graphics, Virtual Reality and Geographical Information Systems.
A. Augusto de Sousa has been the main researcher of several R&D projects related to Advanced/Intuitive Interaction, Image Synthesis, Virtual Reality and Multisensory Virtual Environments.
As a member of the Executive Board of the Portuguese EUROGRAPHICS Chapter, he was, in two different periods of time, President, Vice-President and Treasurer, as well as a member of the Executive Committee of the EUROGRAPHICS Association itself.
... More >>


Kurt Debattista
University of Warwick
United Kingdom


Brief Bio
Kurt Debattista is an Associate Professor (Reader) and Director of Research Degrees at WMG, University of Warwick. He holds a PhD from the University of Bristol, an MSc in Computer Science, an MSc in Psychology and a BSc in Mathematics and Computer Science. His research has focused on high-fidelity rendering, parallel computing, high-dynamic range imaging, machine learning, serious games, and applied perception. He has had grants funded with EPSRC, InnovateUK/TSB, Royal Society, HVM Catapult, NHS, EU, and internal funding. In 2013 he was granted a Royal Society Industrial fellowship. He has been engaged with coll aboration with industry in several projects including work with JLR, Arup and Lear amongst others. ... More >>

 

HUCAPP Program Co-Chairs


Alexis Paljic
Mines Paristech
France
http://caor.mines-paristech.fr/users/alexispaljic


Brief Bio
Alexis Paljic is an associate professor in the Centre for Robotics, PSL-Research University, Mines ParisTech. His research field is immersion and interaction in virtual reality. He conducts research to explore the conditions of realistic response in virtual reality in the context of predictive use of VR, such as industrial design or therapy. He also seeks to adapt immersion and interaction in the context of wide public use of VR: emerging forms of cinema, games, or cultural mediation.


Mounia Ziat
Bentley University
United States


Brief Bio
Relying on her multidisciplinary background, Dr. Ziat's approach to science is holistic; her goals are to better understand perception and human interaction with the natural and artificial environment. For the last eighteen years, she have been studying haptic and multimodal perception by combining engineering, cognitive psychology, human-computer interaction (HCI), and neuroscience to understand all aspects of human touch. From the moment fingers contact a surface to the time information reaches the brain, her research focusses on making sense of sensations that lead to a stable perception of the world. Dr. Ziat holds an Electronic Engineering degree and a Master and Ph.D. in Cognitive Science. Dr. Ziat is an Associate Professor at Bentley University. ... More >>

 

IVAPP Program Co-Chairs


Christophe Hurter
French Civil Aviation University (ENAC)
France
http://www.recherche.enac.fr/~hurter/


Brief Bio
Christophe Hurter is professor at the Interactive Data Visualization group (part of the DEVI team) of the French Civil Aviation University (ENAC) in Toulouse, France. He is also an associate researcher at the research center for the French Military Air Force Test Center (CReA).
His research cover information visualization (InfoVis) and human-computer interaction (HCI), especially the visualization of multivariate data in space and time. He also investigates the design of scalable visual interfaces and the development of pixel based rendering techniques.
Throughout His career, he has been involved with se
veral projects including: Interactive Big Data exploration tools, graph simplifications (edge bundling), paper based interactions, augmented and virtual reality, 3D visualization... ... More >>


Helen Purchase
Monash University, Australia and University of Glasgow
United Kingdom


Brief Bio
Helen C. Purchase is Senior Lecturer in the School of Computing Science at the University of Glasgow. While her main interest is the evaluation of the visual presentation of graphs, she also takes part in several empirical research projects investigating a variety of different visual stimuli. She has published several papers in the area of computer science education and educational technology.

 

VISAPP Program Co-Chairs


Giovanni Maria Farinella
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
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 >>

 

GRAPP Associate Chairs


Area: Geometry and Modeling
Gustavo Patow
Universitat de Girona
Spain


Brief Bio
Gustavo Patow is an Associate Professor at the Universitat de Girona, Spain. He received his PhD from the Universitat Politècnica de Catalunya, Spain, and currently is head of the Geometry and Graphics Group (GGG). He has led several international and national projects, including urbanEvolution that studies the temporal evolution of different aspects of the urban structure; and the GEN3DLIVE project for 3D models from large data sets for human environments and life quality.


Area: Rendering
Daniel Meneveaux
University of Poitiers
France


Brief Bio
Daniel Meneveaux is a Professor at the University of Poitiers (France) and XLIM institute (CNRS UMR 7252). He was awarded a Ph.D. degree in 1998 from the university of Rennes (France), hired as Professor in 2010. His fields of interest are lighting simulation, reflectance models, image-based rendering, complex scenes management, including topology-based geometric modeling and hierarchical representations.


Area: Animation and Simulation
Veronica Costa Orvalho
Didimo Inc. Universidade do Porto
Portugal


Brief Bio
Verónica Orvalho is an optimist engineer. Veronica has a PhD in Computer Graphic, is a Professor at Porto University and the founder and CEO of Didimo. Fascinated by the many ways in which people communicate, learn and share knowledge, she set out to discover a new way to interact and install trust and empathy in the digital era – at scale. She recently gave a TEDx talk, received the Women Who Tech Award in New York and the IBM scientific award. Veronica is an international speaker and an active member of the SIGGRAPH community. Her inventions have been used by Universal Studios, Sony, Microsoft and Amazon.


Area: Interactive Environments
Daniel Gonçalves
INESC-ID, Instituto Superior Técnico
Portugal


Brief Bio
Daniel Gonçalves is a researcher at the Visualization and Multimodal Interfaces Group of INESC-ID and Professor of Computer Science at Instituto Superior Técnico (IST/UL), the School of Engineering of the University of Lisboa, Portugal. His research encompasses the areas of Human-Computer Interaction, Information Visualization, Personal Information Management and Gamification, and has published over 170 peer-reviewed publications in those areas, as well as being the co-author of a textbook on Human-Computer Interaction. He was one of the organizers and Technical Program Chair of IFIP INTERACT and ACM Internationa l Conference on Intelligent User Interfaces, is member of the Editorial Board of the Universal Access to the Information Society journal, ACM Senior Member, and member of the Board of Directors of the Portuguese Computer Graphics Group (the national Eurographics chapter). ... More >>

 

HUCAPP Associate Chairs


Area: Theories, Models and User Evaluation
Mehdi Ammi
University of Paris 8
France


Brief Bio
Mehdi Ammi is Professor at the University of Paris 8. He is engineer in electronics (2000), PhD in robotics (2005) and habilitaded to supervise research (HDR) in computer science since 2013. His research focuses on the study of pervasive environments and their societal and industrial applications (e-health, smart building, factory of the future, etc.). He addresses this field with a multidisciplinary approach combining, Human–Computer Interaction (plastic interaction, 3D interaction, AR/VR, etc.), Artificial Intelligence (machine learning, neurosciences, etc.), mechatronic technologies (organic electronics, smart textiles, etc.) and human factors (psychology, behavioral analysis, etc.). Mehdi Ammi was the leader or coleader of several international working groups (IEEE TCH, EuroVR Haptic SIG, etc.), and was involved in more than 30 national & international projects and industrial collaborations. ... More >>

 

IVAPP Associate Chairs


Area: Abstract Data Visualization
Stefan Jänicke
Department of Mathematics and Computer Science, University of Southern Denmark
Denmark


Brief Bio
Stefan Jänicke is Professor of Data Science at the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, Denmark. His research interests relate to information visualization and visual analytics with a focus on text-, time- and geo-visualization, and their application in research areas like (digital) humanities, linguistics, social sciences, biology, health and sports.


Area: General Data Visualization
Sidonie Christophe
Gustave Eiffel University, IGN-ENSG
France
https://sites.google.com/site/sidoniechristophe/home


Brief Bio
... More >>


Area: Spatial Data Visualization
Jan-Henrik Haunert
University of Bonn
Germany
https://www.geoinfo.uni-bonn.de/en?set_language=en


Brief Bio
Jan-Henrik Haunert chairs the Geoinformation Group at the Institute of Geodesy and Geoinformation at the University of Bonn, Germany. He holds a diploma and doctoral degree from the University of Hannover, Germany, where in 2008 he defended his dissertation on map generalization by combinatorial optimization. Thereafter, he worked as a postdoctoral researcher at the algorithms group at the University of Würzburg, Germany. From 2013 to 2016 he was a professor for geoinformatics at the University of Osnabrück, Germany, before in 2016 he took up his professorship in Bonn. His research is dealing with the development of algorithms for the analysis and visualization of spatial information. A current research focus is on developing algorithms for map labeling and map generalization for interactive maps on small screens. ... More >>

 

VISAPP 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 an associate professor in pattern recognition at the University of Groningen in the Netherlands. He is the coordinator of the Applied AI theme of the Jantina Tammes School of Digital Society, Technology and AI. Prof Azzopardi earned a BSc degree (Hons) from Goldsmiths College, an MSc degree from Queen Mary University of London, and a PhD degree (cum laude) in computer science from the University of Groningen in 2013. Prof Azzopardi has (co-) authored over 90 peer-reviewed publications and has successfully (co-) promoted 7 PhD candidates. His research spans brain-inspired pattern recognition, i mage processing, machine/deep learning, and information retrieval, with application to medical, forensic and radioastronomy image analysis. His work led to him being a co-recipient of the Ben Feringa Impact Award from the University of Groningen in 2023 and the ENLIGHT Impact Award from the ENLIGHT European University in 2024. Currently, Prof Azzopardi serves as associate editor for the Q1 journal, Pattern Recognition. ... 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