Timing & Instructions for Paper Presentation here.

Papers can be downloaded from here.


Thursday, November 9th, 2017

9:00 Welcome Alicia Fornés & Bart Lamiroy
9:15 Session 1: Interpretation of engineering drawings, maps, charts, etc. Session Chairs: Christophe Rigaud & Richard Zanibbi
Extraction of ancient maps content by using trees of connected components Jordan Drapeau, Thierry Géraud, Mickaël Coustaty, Joseph Chazalon, Jean-Christophe Burie, Véronique Eglin, Stephane Bres
Automatic Elevation Datum Detection and Hyperlinking of Architecture, Engineering & Construction Documents Purnendu Banerjee, Supriya Das, Bhagesh Seraogi, Bidyut Chaudhuri, Himadri Majumdar, Srinivas Mukkamala, Rahul Roy
Extracting interactions from molecular pathways Antonio Foncubierta-Rodriguez, Anca-Nicoleta Ciubotaru, Costas Bekas, Maria Gabrani
Floor Plan Generation and Auto Completion Based on Recurrent Neural Networks Johannes Bayer, Saqib Bukhari, Andreas Dengel
10:40 Coffee Break
11:00 Session 2: Symbol Recognition and Spotting Session Chairs: Muzzamil Luqman & Syed Saqib Bukhari
Learning structural loss parameters on graph embedding applied on symbolic graphs Hana Jarraya, Oriol Ramos-Terrades, Josep Lladós
Automated Analysis of Phase Diagram Bhargava Urala Kota, Nair Rathin Radhakrishnan, Srirangaraj Setlur, Scott Broderick, Krishna Rajan, Venugopal Govindaraju
Shallow Neural Network Model for Hand-drawn Symbol Recognition in Multi-Writer Scenario Sounak Dey, Anjan Dutta, Josep Lladós, Alicia Fornés, Umapada Pal
Graph-based deep learning for graphics classification Pau Riba, Anjan Dutta, Josep Lladós, Alicia Fornés
Bringing back Hieroglyph Sounak Dey, Anjan Dutta, Josep Lladós, Umapada Pal
12h30 Lunch
14:00 IAPR Invited Speaker: Prof. Ichiro Fujinaga

A Retrospective on Optical Music Recognition Research

Chair: Alicia Fornés
14:45  Session 3: Optical Music Recognition Session Chair: Nina Hirata & Josep Lladós
On the Potential of Fully Convolutional Neural Networks for Musical Symbol Detection Matthias Dorfer, Jan Hajič, Gerhard Widmer
Towards a Universal Music Symbol Classifier Alexander Pacha, Horst Eidenberger
Bootstrapping Samples of Accidentals in Dense Piano Scores for CNN-Based Detection Kwon-Young Choi, Bertrand Coüasnon, Richard Zanibbi, Yann Ricquebourg
Optical Music Recognition by Recurrent Neural Networks Arnau Baró, Pau Riba, Jorge Calvo Zaragoza, Alicia Fornés
Pen-based Music Document Transcription Javier Sober-Mira, Jorge Calvo Zaragoza, David Rizo, Jose Manuel Inesta
16:20 Coffee Break
16:40 Contest: Engineering Drawing Challenge II Bart Lamiroy
17:00 Discussion Groups Alicia Fornés & Bart Lamiroy
17:45 End of Day 1 


Friday, November 10th, 2017

9:00 Session 4: Interpretation of drawings, music scores, tables, etc. Session Chairs: Mickaël Coustaty & Véronique Eglin
Music Document Layout Analysis through Machine Learning and Human Feedback Jorge Calvo Zaragoza, Ke Zhang, Zeyad Saleh, Gabriel Vigliensoni, Ichiro Fujinaga
Camera-based Optical Music Recognition using a Convolutional Neural Network Adrià Rico, Alicia Fornés
Automatic Orientation Correction of AEC Drawing Documents Bhagesh Seraogi, Supriya Das, Purnendu Banerjee, Bidyut Chaudhuri, Himadri Majumdar, Srinivas Mukkamala, Rahul Roy
Interpreting data from scanned tables Waleed Farrukh, Antonio Foncubierta-Rodriguez, Anca-Nicoleta Ciubotaru, Guillaume Jaume, Costas Bekas, Orcun Goksel, Maria Gabrani
10:25 Coffee Break
10:45 Session 5: Raster to Vector and drawings Session Chairs: Jorge Calvo & Wataru Ohyama
Approximate Fitting a Circular Arc When Two Points Are Known Alexander Gribov
A Novel Approach for Detecting Circular Callouts in AEC Drawing Documents Sandip Maity, Bidyut Chaudhuri, Bhagesh Seraogi, Purnendu Banerjee, Supriya Das, Himadri Majumdar, Srinivas Mukkamala, Rahul Roy
An Efficient Combinatorial Algorithm for Optimal Compression of a Polyline with Segments and Arcs Alexander Gribov
Extracting the ground level enhancement event of February 1956 from legacy cosmic ray recordings Vincent Mattana, Gunther Drevin, Du Toit Strauss
Searching for a Compressed Polyline with a Minimum Number of Vertices Alexander Gribov
12:20 Lunch
14:00 Session 6: Performance Evaluation and Interpretation Session Chairs: Gunther Drevin & Fran Cruz
Groundtruthing (not only) Music Notation with MUSCIMarker: a Practical Overview Jan Hajič
Pixel.js: Web-based Pixel Classification Correction Platform for Ground Truth Creation Zeyad Saleh, Ke Zhang, Jorge Calvo Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga
Document embedded images classification Matheus Viana, Quoc-Bao Nguyen, John Smith, Maria Gabrani
How to Exploit Music Notation Syntax for OMR? Jan Hajič
15:25 Coffee Break
15:45 Summary of Discussion Groups and Closing

Final panel discussion by Josep Lladós: Graphics Recognition in 2017.

 Alicia Fornés & Bart Lamiroy
17:00 End of Day 2