ICDAR2017 Doctoral Consortium

Date: 9:00 - 13:10, November 12
Location: Large Conference Room, 3rd Floor
Chairs: Véronique Eglin and Rafael Dueire Lins

Leaflet for ICDAR2017 Doctoral Consortium

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Program

9:00 - 9:15 Opening / Introduction of DC
9:15 - 10:30 Brief presentation of the projects from tutees and mentors
10:30 - 11:00 Coffee Break and Setting-up of Posters
11:00 - 11:30 Talk given by Dan Lopresti: "How to succeed in your Ph.D. degree"
11:30 - 13:00 Poster session
13:00 - 13:10 Concluding remarks and Best Poster Award

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List of accepted PhD Students and title of the work:

1. Chandranath Adak:
   Automated Handwriting Analysis on Unconventional Documents
2. Paul Maergner:
   Graph-based Signature Verification
3. Momina Moetesum:
   Deformation Estimation and Classification of Graphomotor Impressions-An Application to Neuropsychological Assessements
4. Héloïse Alhéritière:
   Securisation of Hybrid Documents by Content-Based Physical Analysis
5. Daniel Wilson-Nunn:
   A Path Signature Approach to Online and Offline Arabic Handwriting Recognition
6. Florian Westphal:
   Efficient Processing of Large Document Image Repositories
7. Rohit Saluja:
   Indic OCR with Font and Layout Preservation
8. Ahmed Sabir:
   Enhancing Text Spotting with Visual Context Information
9. Thi Tuyet Hai Nguyen:
   Multilingual OCR Correction for Ancient Books: Looking at Multiple Documents to Fix Multiple Words
10. Made Windu Antara Kesiman:
    Document Image Analysis of Balinese Palm Leaf Manuscripts
11. Jianshu Zhang:
    Deep Learning Based Approach to Handwritten Mathematical Expression Recognition
12. Minghui Liao:
    Phd Research Work of Scene Text Detection
13. Pau Riba:
    Graph-based representations for Document Analysis
14. Hussein Mohammed:
    Computational Analysis of Writing Style in Digital Manuscripts
15. Albert Berenguel Centeno:
    Document Counterfeit Detection Through Background Texture Printing Analysis
16. Bastien Moysset:
    Detection and Localization of Text Lines in Heterogeneous Document Images with Deep Neural Networks
17. Amir Ghodrati:
    Grouping and Recognition of Digital Ink Diagrams
18. Alexander Pacha:
    Optical Music Recognition with Deep Learning
19. Axel Jean-Caurant:
    Analysis of Heterogeneous Documents and User Behavior to Improve Accessibility
20. Martin Schall:
    Segmentation-Free Multi-Line Offline Handwriting Recognition Using LSTM Networks
21. Divya Sharma:
    Content Based Architectural Floor Plan Retrieval
22. Vivek Venugopal:
    Exploration of Novel Strategies for Online Writer Identification
23. Christopher Tensmeyer:
    Deep Learning for Document Binarization and Segmentation

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List of Mentors:

• Olivier Augereau
• Najoua Benamara
• Jean-Christophe Burie
• Florence Cloppet
• Bertrand Coüasnon
• Mickael Coustaty
• Chawki Djeddi
• Uptal Garain
• C.V. Jawahar
• Christopher Kermorvant
• Bart Lamiroy
• Angelo Marcelli
• Simone Marinai
• Harold Mouchere
• Umapada Pal
• Ioannis Pratikatis
• Oriol Ramos
• Marçal Rossinyol
• Ernest Valveny
• Nicole Vincent