You will find below the preliminary program.
A pdf version can be download by clikcing on this link
GREC 2019 will be held at the
Aerial Function Centre, University of Technology Sydney
Speakers are invited to read the guidelines for speakers in order to prepare their presentation.
Friday 20th September
|Introduction / Welcome|
|09:00 – |
|Session 1 : Graphic element extraction and recognition : Floorplan, flowchart, …|
|Text Recognition and Classification in Floor plan Images |
Jason Ravagli, Zahra Ziran and Simone Marinai.
|Arrow R-CNN for Flowchart Recognition |
Bernhard Schäfer and Heiner Stuckenschmidt.
|Line recognition for generating accessible line plots |
Francesco Lombardi, Cagatay Goncu and Simone Marinai.
|An automated technique to recognize and extract images |
from scanned archaeological documents
Cindy Roullet, David Fredrick, John Gauch and Rhodora Vennarucci.
|Table Localization and Field Value Extraction in Piping and Instrumentation Diagram Images |
Arka Sinha, Johannes Bayer and Syed Saqib Bukhari
|Session 2 : Comics Analysis and Understanding |
|Understanding multilingual four-scene comics with deep |
Jiali Chen, Ryo Iwasaki, Naoki Mori, Makoto Okada, Miki Ueno
|Confidence criterion for speech balloon segmentation|
Christophe Rigaud, Nhu Van Nguyen and Jean-Christophe Burie
|CNN based Extraction of Panels/Characters from Bengali |
Comic Book Page Images
Arpita Dutta and Samit Biswas
|Multi-class semantic segmentation of comics: A U-Net based approach |
Jochen Laubrock and David Dubray
|What do we expect from comic panel extraction? |
Nhu Van Nguyen, Christophe Rigaud and Jean-Christophe Burie
|Analysis based on Distributed Representations of Various Parts Images in Four-scene Comics Story Dataset |
Akira Terauchi, Naoki Mori and Miki Ueno
|Round-table discussion on the future of Graphic Recognition|
|Session 3 : Mathematical expressions and Music Score|
|Tree-Based Structure Recognition Evaluation for Math Expressions: Techniques and Case Study |
Mahshad Mahdavi and Richard Zanibbi
|Learning Fine-Grained Image Representations for Mathematical Expression Recognition|
Sidney Bender, Monica Haurilet, Alina Roitberg and Rainer Stiefelhagen
|Graph matching over Hypothesis Graphs for the Analysis of Handwritten Arithmetic Operations|
Arnaud Lods, Eric Anquetil and Sébastien Macé
|Recognition, encoding, and transcription of early mensural handwritten music|
Jose M. Iñesta, David Rizo and Jorge Calvo-Zaragoza
Saturday 21th September
|Session 4 : Detection and Classification : symbols, sketche|
|Graph Neural Network for Symbol Detection on Document Images|
Guillaume Renton, Benoit Gaüzère, Pierre Héroux and Sébastien Adam
|GSD-Net: Compact Network for Pixel-level Graphical Symbol Detection|
Swarnendu Ghosh, Prasenjit Shaw, K.C. Santosh and Nibaran Das
|DocFigure: A Dataset for Scientific Document Figure
Jobin K V, Ajoy Mondal and C V Jawahar
|Shoot less and Sketch more: An Efficient Sketch Classification Via Joining Graph Neural Networks and Few-shot Learning|
Asma Bensalah, Pau Riba, Alicia Fornés and Josep Lladós.
|Session 5 : Other graphic recognition approaches|
|Creating destruction animations by transferring hand-drawn styles|
Takumi Kato and Susumu Nakata.
|Identifying the Presence of Graphical Texts in Scene Images using CNN|
Mridul Ghosh, Himadri Mukherjee, Md Obaiduallh Sk, K.C. Santosh, Nibaran Das and Kaushik Roy
|Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition|
Zuheng Ming, Jean-Christophe Burie and Muhammad Muzzamil Luqman
|Optimal Compression of a Polyline while Aligning to Preferred Directions|
|Conclusions and Closing|