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iapr

ICDAR2011 - Doctoral Consortium

The leaderships of IAPR TC-10 (“Graphics Recognition”) and TC-11 (“Reading Systems”) organized the first-ever ICDAR Doctoral Consortium in conjunction with ICDAR 2011. The goal of was 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) was assigned to each student several months in advance to provide individual feedback. In addition, students had the opportunity to present an overview of their research plan during a special poster session.

Through an open call for participation, a total of 21 Ph.D. students participated in the inaugural ICDAR Doctoral Consortium. Thanks to a generous sponsorship provided by Raytheon BBN Technologies, there was no registration charge for the Ph.D. students who were selected or their assigned mentors to attend the event, which took place the day before the main ICDAR conference, on the afternoon of Sunday, Sept. 18. The schedule was as follows:

1:40 pm – 2:10 pm: Welcome and short talk: “Advice for a Successful Ph.D. Experience”
2:10 pm – 3:10 pm: Brief oral introductions to student research plans
3:10 pm – 3:25 pm: Coffee break
3:25 pm – 5:25 pm: Student poster session with discussion and feedback
5:25 pm – 5:40 pm: Concluding remarks and Best Poster Presentation Award presentation


A Doctoral Consortium overview booklet was made available at the event containing a summary of each student's research activities along with his/her resume.

Best Poster Presentation Award

A Best Poster Presentation Award was be given at the end of the day -- the winners of this award were

  • Nibal Nayef (Technical University of Kaiserslautern) Geometric-based Symbol Spotting, with Application to Symbol Retrieval in Document Image Databases
  • Weihan Sun (Osaka Prefecture University) Copyright Protection of Manga Using Content-based Image Retrieval Methods

Participants

Participating Ph.D. Students

The list of participating Ph.D. students is as follows:

NameResearch TopicUniversityCountryPoster
Olivier Augereau Document Image Classification Université Bordeaux France
Su Bolan Document Image Enhancement National University of Singapore Singapore
Klaus Broelemann Automatic Understanding of Sketch Maps University of Muenster Germany
Syed Saqib Bukhari Generic Layout Analysis of Diverse Collection of Documents Technical University of Kaiserslautern Germany
Bin Chen Effects of Artificial Sample Generation Models for On-line Handwritten Japanese Character Recognition Tokyo University of Agriculture and Technology Japan  
Jin Chen Exploiting Metadata in Off-line Handwritten Documents: Modeling and Applications Lehigh University USA  
Lluís-Pere de las Heras Syntactic Model for Semantic Document Analysis Universitat Autònoma de Barcelona Spain
Jing Fang Table Recognition and Evaluation in PDF Documents Peking University China
David Hebert Investigations on the Use of Linear-Chain CRF Based Method to Segment Old Newspapers Universite de Rouen France  
Lei Hu Recognition and Retrieval of Handwritten Mathematical Expressions Rochester Institute of Technology USA  
Le Kang Touching Text Segmentation and Shape Analysis University of Maryland College Park USA
Muna Khayyat Learning-Based Word Spotting for Arabic Handwritten Documents Using Hierarchical Classifier Concordia University Canada
Iuliu Konya Adaptive Methods for Robust Document Image Understanding Fraunhofer IAIS, University of Bonn Germany
Jayant Kumar Segmentation and Labeling of Mixed-type Noisy Handwritten Documents University of Maryland College Park USA
Xiaoyan Lin Mathematical Formula Recognition and Retrieval in PDF Documents Peking University China
Muhammad Muzzamil Luqman Efficient Indexing and Retrieval of Graphs Using Techniques for Embedding Graphs in Real-Valued Feature Spaces Université François Rabelais de Tours France
Nibal Nayef Geometric-based Symbol Spotting, with Application to Symbol Retrieval in Document Image Databases T U Kaiserslautern Germany
Weihan Sun Copyright Protection of Manga Using Content-based Image Retrieval Methods Osaka Prefecture University Japan
Rabeux Vincent Document Image Quality Evaluation Université Bordeaux France  
Song Wang Part-Based Method of Character Recognition Kyushu University Japan  
Liang Xu Segmentation and Recognition of Touching Characters in Offline Unconstrained Chinese Handwriting Institute of Automation, Chinese Academy of Sciences China

Mentors

In addition, we wish to thank the mentors who have volunteered their time to work with the students:

  • Henry Baird
  • Elisa Barney Smith
  • Abdel Belaid
  • Jean-Christophe Burie
  • Marcus Liwicki
  • Gernot A. Fink
  • Masakazu Iwamura
  • Dimosthenis Karatzas
  • Koichi Kise
  • Bart Lamiroy
  • Rafael Lins
  • Cheng-Lin Liu
  • Josep LLadós
  • Daniel Lopresti
  • Jean-Marc Ogier
  • Faisal Shafait
  • Palaiahnakote Shivakumara
  • Liu Wenyin
  • Richard Zanibbi

Organizing Committee

  • TC-11 Chair: Prof. Daniel P. Lopresti (Lehigh University, USA)
  • TC-10 Chair: Prof. Jean-Marc Ogier (Université de La Rochelle, France)
  • Prof. Jean-Christophe Burie (Université de La Rochelle, France)
  • Prof. Masakazu Iwamura (Osaka Prefecture University, Japan)
  • Prof. Gernot A. Fink (TU Dortmund University , Germany)
  • Dr. Dimosthenis Karatzas (Universitat Autónoma de Barcelona, Spain)
  • Prof. Koichi Kise (Osaka Prefecture University, Japan)
  • Prof. Bart Lamiroy (Nancy Université, France)
  • Prof. Rafael Lins (Universidade Federal de Pernambuco, Brazil)
  • Prof. Josep Lladós (Universitat Autònoma de Barcelona, Spain)

 Materials