| Scientific Committee | Organizing Committee |
|---|---|
| Prof. ADAM Sébastien Prof. BURIE Jean-Christophe Prof. FOGGIA Pasquale Dr. HEROUX Pierre Prof. LLADÓS Josep Prof. OGIER Jean-Marc |
Dr. DUTTA Anjan Mr. LE Thanh Nam Dr. LUQMAN Muhammad Muzzamil Dr. RIGAUD Christophe |
A brief CV of each team member (alphabetic order) is provided below along with their their email addresses and links to their webpages.
| ADAM Sébastien is full Professor at the LITIS lab in Rouen, France. His domains of interest are at the merging of machine learning, graph-based pattern recognition and multi-objective optimization, with applications in document image analysis. |  |
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BURIE Jean-Christophe received his Ph.D. degree in Automatic Control Engineering and Industrial Data Processing from University of Lille, France, in 1995. He was a research fellow in the Department of Mechanical Engineering for Computer-Controlled Machinery, Osaka University, Japan from 1995 to 1997 in the framework of the Lavoisier Program of the French Foreign Office. He works at La Rochelle University since 1998. He is currently full Professor and deputy director of the L3i Lab. He has been involved in the European Project EUREKA- Prometheus and has actively contributed to the ANR projects: Navidomass and Alpage. His research interests include computer vision, color image processing, pattern recognition. His research topics concerns color document analysis indexing of Comics, characters recognition written on old palm leaves. Since 2011, he is co-leader of the e-bdtheque research program dedicated to the indexing of comics’ books. He participated for organizing the SmartDoc competition for ICDAR 2015 and the Competition on the Analysis of Handwritten Text in Images of Balinese Palm Leaf Manuscripts for ICFHR 2016. At last he is also Vice rector of the university of La Rochelle.
Webpage: http://l3i.univ-larochelle.fr/Burie-Jean-Christophe-MCF-HDR |
| DUTTA Anjan is a Marie-Curie postdoctoral fellow under the P-SPHERE project. He received his PhD in Computer Science from the Universitat Autònoma de Barcelona (UAB) in the year of 2014. His thesis was awarded as Cum Laude qualification with International mention by the University. Moreover, he received the Extraordinary PhD Thesis Award for the year 2013-14 by the UAB for outstanding dissertation. Before his PhD, he obtained MS in Computer Vision and Artificial Intelligence also from the UAB, MCA in Computer Applications from the West Bengal University of Technology and BS in Mathematics (Honors) from the University of Calcutta respectively in the year of 2010, 2009 and 2006. After completing his PhD, he worked as a postdoctoral researcher at a few academic institutes. He is a regular reviewer for the journals named IJCV, IEEE TCYB, IEEE TNNLS, PR, PRL etc, he regularly serves as a program committee member of different scientific conferences such as BMVC, ICPR, ACPR and ICFHR. His recent research interests have revolved around graph-based representation for visual objects and graph-based algorithms for solving various tasks in Computer Vision, Pattern Recognition and Machine Learning. |  |
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FOGGIA Pasquale received a PhD in Electronic and Computer Engineering at the “Federico II” University of Naples, Italy. He is currently Associate Professor of Computer Engineering at the University of Salerno, Italy. He is the current chair of the IAPR Technical Committee 15 on Graph-based Representations in Pattern Recognition. His research activity has been focused on Pattern Recognition, Image Analysis and Computer Vision, with applications like medical and biological image analysis, robotic vision and intelligent video surveillance. Together with prof. Mario Vento, he was the organizer of the ICPR 2010 Contest on Graph Embedding for Pattern Recognition and the ICPR 2014 Contest on Graph Matching Algorithms for Pattern Search in Biological Databases.
Webpage: http://www.unisa.it/docenti/pasqualefoggia/en/index |
| HEROUX Pierre received a B.Sc degree in electrical engineering in 1994 and a M.Sc. degree in computer vision in 1997. After a Ph.D. in Computer Science under the supervision of Prof. Yves Lecourtier and Dr. Éric Trupin, he conducts his research as an associate professor in the learning team of the LITIS Laboratory at the University of Rouen Normandy. His research interests are related to graph based methods for pattern recognition and their applications to document image analysis and understanding. He recently participated in organisation of a competition on historical book analysis (HBA) for ICDAR 2017.
Webpage: http://pierre.heroux.free.fr |
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LE Thanh Nam is currently a PhD student at the L3i Laboratory, University of La Rochelle, France, under the supervision of Jean-Marc Ogier, Jean Marc Ogier and Muzzamil Luqman from L3i Laboratory. His research topic is about recognizing and analysis of drawing content in comic books, using computer vision techniques and graph representation of comic content. The goal of his thesis is towards automatic annotating/indexing of semantic content, and on content-based retrieval of the comic book images. Nam Le has his publications on the topics representing the drawing content by regional adjacency graphs and using graph mining technique for the retrieval. |
| LLADOS Josep received the degree in Computer Sciences in 1991 from the Universitat Politècnica de Catalunya and the PhD degree in Computer Science in 1997 from the Universitat Autònoma de Barcelona (Spain) and the Université Paris 8 (France). Currently he is an Associate Professor at the Computer Sciences Department of the Universitat Autònoma de Barcelona and a staff researcher of the Computer Vision Center, where he is also the director since January 2009. He is visiting researcher of the IDAKS Lab of the Osaka Prefecture University (Japan). He is chair holder of Knowledge Transfer of the UAB Research Park and Santander Bank. He is the head of the Pattern Recognition and Document Analysis Group (2014SGR-1436). His current research fields are document analysis, structural and syntactic pattern recognition and computer vision. He has been the head of a number of Computer Vision R+D projects and published more than 200 papers in national and international conferences and journals. J. Llados is an active member of the Image Analysis and Pattern Recognition Spanish Association (AERFAI), a member society of the IAPR. He is currently the chairman of the IAPR Educational Committee. Formerly he served as chairman of the IAPR Indistrial Liaison Committee, and the IAPR TC-10, the Technical Committee on Graphics Recognition. He is chief editor of the ELCVIA (Electronic Letters on Computer Vision and Image Analysis) and he serves on the Editorial Board of the IJDAR (International Journal in Document Analysis and Recognition), the Cultural Heritage Digitization (specialty section of Frontiers in Digital Humanities), and also a PC member of a number of international conferences. He was the recipient of the IAPR-ICDAR Young Investigator Award in 2007. He was the general chair of the International Conference on Document Analysis and Recognition (ICDAR’2009) held in Barcelona in July 2009, and co-chair of the IAPR TC-10 Graphics Recognition Workshop of 2003 (Barcelona), 2005 (Hong Kong), 2007 (Curitiba) and 2009 (La Rochelle). Josep Lladós has also experience in technological transfer and in 2002 he created the company ICAR Vision Systems, a spin-off of the CVC/UAB. |  |
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LUQMAN Muhammad Muzzamil (Ph.D.) is a research scientist in Document Image Analysis, Pattern Recognition and Computer Vision. Luqman is currently working on the post of Research Engineer (Permanent) at the L3i Laboratory, University of La Rochelle (France) [L3i] since November 2015. Luqman has worked as a Research Engineer at the Bordeaux Bioinformatics Center (Centre de Bioinformatique de Bordeaux), France and has worked as a Postdoctoral researcher with Professor Jean-Marc Ogier, at L3i Laboratory, University of La Rochelle (France). Luqman has a PhD in Computer Science from François Rabelais University of Tours (France) and Autonoma University of Barcelona (Spain). His PhD thesis was co-supervised by Professor Jean-Yves Ramel and Professor Josep Llados; and was titled “Fuzzy Multilevel Graph Embedding for Recognition, Indexing and Retrieval of Graphic Document Images”. Luqman participated in GEPR contest of ICPR 2010 and his method was ranked 3rd. His research interests include Structural Pattern Recognition, Document Image Analysis, Camera-Based Document Analysis and Recognition, Graphics Recognition, Machine Learning, Computer Vision, Augmented Reality and Biomimicry. Luqman has authored more than 25 scientific publications including a book, a journal paper and international conference papers. Luqman is a regular reviewer for journals (PR, IJDAR, IJPRAI, IJCSAI, TALLIP), he regularly serves on the program committees of many international scientific events (ICDAR, DAS, CIFED, ICET) and has actively participated in organizing several international conferences, workshops and scientific competitions. Luqman actively participated recently for organizing the SmartDoc competition for ICDAR 2015, SSGCI competition for ICPR 2016 and Multilingual Text detection/recognition (RRC-MLT) for ICDAR 2017. |
| OGIER Jean-Marc (Professor) received his PhD degree in computer science from University of Rouen, France, in 1994. During this period (1991-1994), he worked on graphic recognition for Matra Ms&I Company. Full professor at University of La Rochelle, Prof. Ogier is the head of L3i laboratory which gathers more than 120 members and works mainly of Document Analysis and Content Management. Author of more than 160 publications / communications in international conferences and journals, he managed several French and European projects dealing with historical document analysis, either with public institutions, or with private companies. Pr Ogier was Deputy Director of the GDR I3 of the French National Research Centre (CNRS) between 2005 and 2013 (800 members). He was also Chair of the Technical Committee 10 (Graphic Recognition) of the International Association for Pattern Recognition (IAPR) from 2010 to 2015, and is the representative member of France at the governing board of the IAPR, serving as a member of the international liaison committee. Jean-Marc Ogier has been the general chair of the program chair of several international scientific events dealing with document analysis (DAS, ICDAR, GREC, …) and serves on the Editorial Board of several international journals : IJDAR (International Journal in Document Analysis and Recognition), ELCVIA, (Electronic Letter on Computer Vision and Image Analysis). Jean-Marc Ogier has created the association VALCONUM (valconum.fr), the aim of which is to create an «academico-industrial» ecosystem allowing to develop European competitiveness for both its academic and industrial members. He has been serving as the President of the University of La Rochelle 2016.
Webpage: http://pageperso.univ-lr.fr/jmogier/Fiche_personnelle.html |
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RIGAUD Christophe is currently a research engineer (postdoc) at the L3i laboratory of the University of La Rochelle (France). He received a double European PhD degree in computer science from the University of La Rochelle (France) and the Autonomous University of Barcelona (Spain) in 2014. His PhD thesis is titled “Segmentation and indexation of complex objects in comic book images”, supervised by Jean-Christophe Burie, Jean-Marc Ogier from L3i lab and Dimosthenis Karatzas from the Center of Computer Vision (CVC) of the Autonomous University of Barcelona. His current research interest is the analysis of comic book images using computer vision techniques. He aims to discover how to make a complete and automatic description of the comic page image content, namely the position of the panels, speech balloons, text, comic characters, their interactions and semantic meaning. Christophe Rigaud has authored 20 scientific publications including 5 book chapters, 2 journal papers and several international conference and workshop papers. He also serves several local and program comities such as the Concept Lattices and their Applications (CLA’13), Engineering Drawing Challenge (GREC’15) and a Competition on Multi-lingual scene text detection and script identification (ICDAR’17).
Webpage: http://www.christophe-rigaud.com/ |