BURIE Jean-Christophe (Professor) 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 has worked 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: Alpage, Shades, Eclats. 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. Since 2018, he has been the Head of the SAIL joint laboratory (Sequential Art Image Laboratory) with the Actialuna company. He participated in 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 and ICFHR 2018. He served the International Association for Pattern Recognition TC-10 Committee as Secretary and Webmaster from 2009 to 2018 and he is now acting as Vice-Chair of TC10. He was the co-organizer of MANPU 2016 (Cancun, Mexico), MANPU 2017 and HDI 2017 (Kyoto, Japan), MANPU 2019 (Thessalonique, Greece). He was the General Chair of the 2nd IAPR TC10/TC11 Summer School in La Rochelle (july 2018) and the General Chair of GREC 2019 .
Lili Jiang (PhD) is Associate Professor in the Department of Computing Science at Umeå University in Sweden, and leading the research group of Deep Data Mining. She received her doctoral degree in computer science in 2012 in China. Before joining Umeå University, Lili has been a research scientist at NEC Laboratories Europe, postdoctoral researcher at Max-Planck-Institute for informatics in Germany, and Endeavour Research Fellowship in Australia. Her research interests include text mining, information retrieval, natural language processing, machine learning, and privacy preservation. Lili has been dedicating herself to address academic challenges motivated from real applications by applying the state-of-the-art techniques and exploring novel solutions. She has been involved in multiple academic projects and published papers on prestigious international conferences/journals.
NGUYEN Nhu Van (Ph.D.) is a research scientist in Computer Vision and Machine Learning. Van Nguyen is currently working at the SAIL LabCom, the University of La Rochelle (France) as a postdoctoral researcher. He received his Ph.D. in Computer Science from the University of La Rochelle in 2011. His research interests include Document Image Analysis, Pattern Recognition, and Machine Learning. Van Nguyen is a reviewer for journals/conference s (Applied Sciences, MTAP, ICDAR, ELCVIA, MMM, RIVF). Dr. Van NGUYEN organised the ICDAR2019-FGC competition. He has also gained experience in technological transfer after working with La SATT Grand-Centre (Société d'accélération du transfert de technologies) in 2015 to transfer his invention at the lab L3i to the industry. Van Nguyen is a member and an innovation leader of the global association of Vietnamese scientists and experts (AVSE-G).
Xuan-Son Vu (Ph.D) is a postdoctoral researcher at the department of computing science at Umeå University, Sweden. He received his Ph.D degree from the Umeå University. He obtained a M.Sc degree in Computer Science, Kyungpook National University in Korea, with focus on NLP and Machine Learning. His work has been primarily focused on knowledge - both acquiring knowledge from text, multimodal data, and using structured knowledge to power downstream applications. He is a reviewer for journals/conferences including TheWebConf, ECAI, ICDM, PAKDD, SSR, SC2, COSE (Computer & Security).
RIGAUD Christophe (Ph.D.) is a research engineer (postdoc) in document image analysis 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 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. He also serves several local and program committees such as the Concept Lattices and their Applications (CLA’13), Engineering Drawing Challenge for GREC’15, Multi-lingual scene text detection and script identification (RRC-MLT) for ICDAR’17, Subgraph Spotting in Graph-based representations of Comic Images (SSGCI) for ICPR’18, Fine-Grained Classification of Comic Characters (ICDAR2019-FGC) and Post-OCR Text Correction (ICDAR2019-POCR) competitions.