DOCTORAL CONSORTIUM

 

Date: September 7 2021, 2:00 PM – 5:30 PM.

Location: University EPFL (Swiss Federal Institute of Technology) on the ground floor of the BC building.

Chairs: Nibal Nayef 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, ICDAR 2017 and ICDAR 2019. The tradition of having a Doctoral Consortium as a satelite event to the ICDAR main conference will further be continued at ICDAR 2021 in Lausanne, Switzerland.

The goal of the ICDAR 2021 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.

Download the DC-Program booklet.

Program

02:00 – 02:15 PM: Opening / Introduction of DC

02:15 – 02:45 PM: Brief presentation (teasers) of the projects by the PhD students

02:45 – 03:15 PM: Talk “How to succeed in your Ph.D. degree”, by Prof. Daniel Lopresti, Lehigh University, BethlehemUSA

03:15 – 03:30 PM: Setting-up of Posters  and beginning of Poster session and Discussion

03:30 – 04:00 PM: Coffee Break / Poster session and discussions

04:00 – 05:15 PM: Poster session and discussions

05:15 – 05:30 PM: Concluding remarks and Best Poster Award

List of accepted PhD Students and title of the work:

Raphaela Heil Computerised Image Processing for Handwritten Text Recognition of Historical Manuscripts Sweden
Rubèn Pérez Tito Text based Visual Question Answering Spain
Christoph Zaugg Information Theoretical Approach To Understand Deep Neural Networks Switzerland
Ibrahim Souleiman Mahamoud, Automatic and model-free learning of semantic-structural links of fields in a document France
Iheb Brini Towards an Explainable Deep Model for Archival Document Image Segmentation Tunisia
Tien Nam Nguyen Segmentation, Recognition and Indexing of characters in CHAM documents France/Vietnam
Francesco Lombardi Towards semantic understanding of scientific papers Italy
Daichi Haraguchi Font Design Analysis: Understanding Designers’ Knowledge by Using Machine Learning Japan
Sanket Biswas Structural Analysis and Understanding of Complex Layouts in Document Images India
Solène Tarride Automatic recognition of historical handwritten parish records. France
Sahar Arshad Automated Summarization of Legal Judgements Pakistan
Iqra Basharat Information Extraction from Legal Documents Based on Natural Language Processing (NLP) Pakistan
Mengbiao Zhao Weakly-Supervised Scene Text Detection China
Thomas Constum Optical Handwritten Named Entity Recognition France
Kieu-Diem Ho Multivalent Graph Matching and Ant Colony Optimization for Pattern Recognition France/Vietnam
Killian Barrere Deep Neural Networks and Attention Mechanisms for Handwritten Text Recognition France

 

List of Mentors:

Bertrand

Coüasnon

Irisa / Insa, France

C V

Jawahar

CVIT, IIIT, Hyderabad, India

Dimosthenis

Karatzas

Computer Vision Centre, Universitat Autonoma de Barcelona, Spain

Abdel

Belaid

Université de Lorraine – LORIA, France

Faisal

Shafait

National University of Sciences and Technology, Pakistan

Cheng-Lin

Liu

Institute of Automation of Chinese Academy of Sciences, China

Simone

Marinai

University of Florence, Italy

Rafael

Lins

Federal University of Pernambuco, Brazil

Thierry

Paquet

Laboratoire LITIS, Université de Rouen, France

Nicholas

Howe

Smith College, USA

Josep

Llados

Computer Vision Center, Universitat Autònoma de Barcelona, Spain

Seiichi

Uchida

Kyushu University, Japan

Angelo

Marcelli

DIEM – Universita di Salerno, Italy

Ioannis

Pratikakis

DUTH, Democritus University of Thrace, Greece

Harold

Mouchère

IRCCyN – Universite de Nantes, France

Oriol

Ramos Terrades

Computer Vision Centre, Universitat Autonoma de Barcelona, Spain

 

Copyright © ICDAR 2021 Organizing Committee