Doctoral Consortium

DC-Program Booklet

Date: September, 22nd 2019, 2 :00 PM – 6 :15 PM

Location: University of Technology Sydney, Room :CB11.04.103 and 105

Chairs: Véronique Eglin and Jean-Christophe BURIE

In 2011, the first Doctoral Consortium in the Document Analysis community was organized in conjunction with the International Conference on Document Analysis and Recognition (ICDAR). This has led to successful successor events at ICDAR 2013, ICDAR 2015 and ICDAR 2017. The tradition of having a Doctoral Consortium as a satelite event to the ICDAR main conference will further be continued at ICDAR 2019 in Sydney, Australia.

The goal of the ICDAR 2019 Doctoral Consortium is to create an opportunity for Ph.D. students to test their research ideas, present their current progress and future plans, and receive constructive criticism and insights related to their future work and career perspectives. A mentor (a senior researcher who is active in the field) will be assigned to each student to provide individual feedback. In addition, students will have the opportunity to present an overview of their research plan during a special poster session.



02:00 – 02:15 PM : Opening/ Introduction of DC
02:15 – 03:15 PM: Brief presentation of the projects from tutees and mentors
03:15 – 04:00 PM: Coffee Break and Setting-up of Posters
04:00 – 04:30 PM: Talk “How to succeed in your Ph.D. degree”, by Prof. Jean-Marc Ogier, La Rochelle University, France
04:30 – 06:00 PM: Poster session and discussions
06:00 – 06:15 PM: Concluding remarks and Best Poster Award


List of accepted PhD Students and title of the work:

Allan Marvin Ssemambo A model to automate uganda sign recognition and translation to English Uganda
Nishatul Majid Developing an offline Bangla handwriting recognition system USA
Raul Gomez Exploiting the Interplay between Visual and Textual Image Content for Scene Interpretation Spain
Showmik Bhowmik An Integrated Document Layout Analysis System India
Florian Westphal Training Data and Time Efficient Algorithms for Historical Document Analysis Sweden
Chandra Sekhar Interpretable Online Signature Verification through Generative Adversarial Networks (GANs). India
Julien Maitre Detection and analysis of weak signals. Development of a digital investigation framework for a hidden alert launcher service France
Lady Viviana Beltrán Beltrán Multimodal Machine Learning: Representation, Fusion and Applications France
Shreya Goyal Semantic Understanding of Floor Plan Images through Machine Learning Techniques India
Xenofon Karagiannis Layout Analysis and Recognition in historical documents using machine learning methods Greece
Camille Guerry Historical big-data: modelization of strategies to analyze collections of documents France
Bhargava Urala Kota Automated Lecture Video Summarization via Extraction and Feature Representation of Text Content USA
Thi Tuyet Hai Nguyen Multilingual OCR correction for ancient books: Looking at multiple documents to fix multiple words France
Brian Davis Template-Free Information Extraction From Arbitrary Form Images USA
Olfa Mechi Transcription and indexing of text in archival documents using deep architectures Tunisia
Clément Sage Table Information Extraction from Business Documents France
Antoine Pirrone Multimodal analysis and reconstruction of ancient papyrus fragments using image processing and deep learning France
Qingqing Wang Detect and recognize text from images Australia
Rohit Saluja Interactive Systems for Reading Texts in Indian Streets and Documents Australia


List of Mentors:

Barney Smith Elisa H. Boise State University, USA
Couasnon Bertrand Irisa, Rennes, France
Coustaty Mickaël Laboratoire L3i, Université de La Rochelle, France
Essoukri Ben Amara Najoua Ecole Nationale d’Ingénieurs de Sousse, Sousse, Tunisia
Fischer Andreas University of Fribourg, Switzerland
Fornés Alicia Computer Vision Center, Universitat Autònoma de Barcelona, Spain
Jawahar C.V. International Institute of Information Technology, Hyderbad, India
Lins Rafael Federal University of Pernambuco, Brazil
Llados Josep Computer Vision Center, Universitat Autònoma de Barcelona, Spain
Marcelli Angelo DIEM – Universita di Salerno, Italy
Palaiahnakote Shivakumara University of Malaya, Malaysia
Paquet Thierry Laboratoire LITIS, Université de Rouen, France
Pratikakis Ioannis Democritus University of Thrace, Greece
Ramos Terrades Oriol Computer Vision Center, Universitat Autònoma de Barcelona, Spain
Shafait Faisal National University of Sciences and Technology, Pakistan
Sidère Nicolas Laboratoire L3i, Université de La Rochelle, France
Uchida Seiichi Human Interface Laboratory, Kyushu University, Japan
Zanibbi Richard Dept. Computer Science, Rochester Institute of Technology, USA