Last updated: 2011-10-03

ICDAR2011 Doctoral Consortium

September 18, 1:40pm - 5:40pm

Room #2 of Building 8, Beijing Friendship Hotel (see the page of Venue for maps)

On-site registration at the Room #2 from 1:10pm.

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:

Name	Research Topic	University	Country
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