Doctoral Consortium

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


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

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

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