IAPR TC-10/11 Doctoral Consortium

August 25, 2013

ICDAR is co-sponsored by TC-10 and TC-11 of the IAPR. The leadership teams of these two technical committees are pleased to announce that we will be organizing the second ICDAR Doctoral Consortium in association with ICDAR 2013 in Washington, DC. The goal of the 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) is 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.



Marcus Liwicki, DFKI. Germany
Josep Lladós, Computer Vision Center, Universitat Autònoma de Barcelona. Spain
Thierry Paquet, Laboratoire LITIS, Université de Rouen. France
Jean-Christophe Burie, Laboratoire Informatique, Image et Interaction (L3I) - Université de La Rochelle. France
Muhammad Muzzamil Luqman, L3i Laboratory, University of La Rochelle. France
Koichi Kise, Graduate School of Engineering, Osaka Prefecture University. Japan
Bart Lamiroy, Université de Lorraine - LORIA. France
Jean-Marc Ogier, University of La Rochelle, Laboratoire L3i. France
Henry Baird, Lehigh University. USA
Cheng-Lin Liu, Institute of Automation, Chinese Academy of Sciences. China

Masakazu Iwamura, Osaka Prefecture University. Japan
Dimosthenis Karatzas, Computer Vision Center, Universitat Autònoma de Barcelona. Spain
Rafael Dueire Lins, Universidade Federal de Pernambuco. Brazil
Daniel Lopresti Lehigh University. USA
Elisa H. Barney Smith, Boise State University. USA
Faisal Shafait, The University of Western Australia. Australia
Salvatore Tabbone, LORIA. France
Bertrand Coüasnon, Irisa / Insa. France
Seiichi Uchida, Kyushu University. Japan
Lianwen Jin, South China University of Technology. China
Michael Blumenstein, Griffith University, Australia
Gernot Fink, TU Dortmund University, Department of Computer Science XII, Germany
Thierry Artières, LIP6, University Paris 6, France
Marçal Rusiñol, Computer Vision Center, Universitat Autònoma de Barcelona. Spain


DC Chairs

Marcus Liwicki, DFKI. Germany
Josep Lladós, Computer Vision Center, Universitat Autònoma de Barcelona. Spain



Location: Congressional A&B Rooms - Washington DC Omni Shoreham hotel.

1:30 pm – 2:00 pm:

Welcome and short talk: “Advice for a Successful Ph.D. Experience”

2:00 pm – 3:00 pm:

Brief oral introductions to student research plans

3:00 pm – 3:20 pm:

Coffee break

3:20 pm – 4:45 pm:

Student poster session with discussion and feedback

4:45 pm – 5:00 pm:

Concluding remarks and Best Poster Presentation Award presentation



Image Quality Assessment

Peng Ye

University of Maryland, USA

Document Layout Analysis and Segmentation using Probabilistic Graphical Models

Francisco Cruz

Universitat Autònoma de Barcelona, Spain

Unsupervised Classification of Structurally Similar Document Images

Jayant Kumar

University of Maryland, USA

Multilingual and Multi-oriented Text Detection in Natural Images

Le Kang

University of Maryland, USA

Recognition on Color Administrative Document Images

Elodie Carel

University of La Rochelle, France

Multimodal and Interactive Handwritten Document Transcription

Daniel Martín-Albo

Universitat Politècnica de València

Structured Learning Applied to Recognition of Handwritten Math Expressions

Lei Hu

Rochester Institute of Technology, USA

Symbol spotting in graphical documents with graph representation

Anjan Dutta

Universitat Autònoma de Barcelona, Spain


Degradation Models for Generating Semisynthetic Ancient Document Images and Evaluating the Complexity of Databases

Van Cuong Kieu

Universities of Bordeaux I and La Rochelle, France

Segmentation-free handwritten word spotting in document images

Jon Almazán

Universitat Autònoma de Barcelona, Spain


Mathematical Formula Recognition in PDF Documents

Xiaoyan Lin

Peking University, China

Syntactic Model for Semantic Document Analysis

Lluís-Pere de las Heras

Universitat Autònoma de Barcelona, Spain

Segmentation and indexation of complex objects: detection and recognition of complex objects in comic books

Christophe Rigaud

University of La Rochelle, France

Universitat Autònoma de Barcelona, Spain

Perceptual Organization for Text Extraction in Natural Scenes

Lluís Gómez

Universitat Autònoma de Barcelona, Spain

Information retrieval and analysis of European

handwritten letter images in 18th century


Université Jean Monnet Saint Etienne, France

HisDoc 2.0 — An Integrated Approach Incorporating Text Segmentation, and Script Analysis for Historical Documents

Angelika Garz

University of Fribourg, Switzerland

Scene Text Detection Using Visual Saliency Model

Gao Renwu

Kyushu University, Japan

Image Based Text Detection With Feature Learning and Feedback

Siyu Zhu

Rochester Institute of Technology, USA

Layout Analysis on Historical Documents

Hao Wei

University of Fribourg, Switzerland

Extraction of Text from Images and Videos

Trung Quy Phan

National University of Singapore, Singapore

A Generic Method for Information Segmentation in

Document Images

Sheraz Ahmed

Technische Universität Kaiserslautern, Germany

Writer identification on Bangla script

Chayan Halder

West Bengal State University, India

A Local Features based Generic Method for

Automatic Forensic Signature Verification

Muhammad Imran Malik

Technische Universität Kaiserslautern, Germany

Diva-DIA—A Historical Document Image Analysis Framework

Kai Chen

University of Fribourg, Switzerland

Algorithms to empower blind people to access printed documents with a smart phone

Michael P. Cutter

University of California at Santa Cruz, USA

Development of Language Model Based Optical Character Recognition System for Urdu Script

Ankur Rana

Punjabi University, India

Authentication of a document from an image

Romain Bertrand

University of La Rochelle, France

Universitat Autònoma de Barcelona, Spain

Resolution Enhancement of Texts in Document Images

and Videos


University of Sfax, Tunisia

University of Lyon, France

Shape-Based Analysis for Automatic Segmentation of Arabic Handwritten Text

Amani T. Jamal

Concordia University Montreal, Quebec, Canada

Automatic Modeling and Recognition of Heterogeneous Logical Structures from Digitized Business Documents

Louisa KESSI

National Institute of Applied Sciences of Lyon, France



The ICDAR2013-DC is sponsored by BBN Technologies.