ICDAR2011 Doctoral Consortium
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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”) have organized a Doctoral Consortium in conjunction with ICDAR 2011. 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) has been 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. A Best Poster Presentation Award will be given at the end of the day.
Through an open call for participation which has already concluded, a total of 21 Ph.D. students will be participating in the first-ever ICDAR Doctoral Consortium. Thanks to a generous sponsorship provided by Raytheon BBN Technologies, there is no registration charge for the Ph.D. students who have been selected or their assigned mentors to attend the Doctoral Consortium. The event will take place the day before the main ICDAR conference, on the afternoon of Sunday, Sept. 18. The schedule is 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 will be made available at the event containing a summary of each student's research activities along with his/her resume.
Contents
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 |
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
ICDAR 2011 Doctoral Consortium 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
- Color program
- Intro slides
- Slides for the "Advice" talk Prof. Daniel P. Lopresti gave to kick-off the Doctoral Consortium
- Photos
This page is editable only by TC11 Officers .