RRPR2020: Third Workshop on Reproducible Research in Pattern Recognition Milan, Italy, January 11, 2021 |
Conference website | https://rrpr2020.sciencesconf.org |
Submission link | https://easychair.org/conferences/?conf=rrpr2020 |
Submission deadline | October 10, 2020 |
Following the success of the first and second workshop on Reproducible Research on Pattern Recognition that were held at the previous ICPR conferences in 2016 and 2018, we propose the third edition in the same spirit as the previous event. As was the case for the previous two editions, RRPR 2020 is intended as both a short participative course on the RR aspects, leading to open discussions with the participants, and also as a practical workshop on how to actually perform RR. In addition, another key goal for gathering the research community is to further advance the scientific aspects of reproducibility in pattern recognition research.
This workshop is of interest for all ICPR participants attendees since it allows to handle various topics not restricted to one specific fields. The reproducibility is an important topics in general and particularly good for PhD students and young researchers to learn "good habits". A special track on Geometry and Deep Learning is proposed for this new edition (not exclusive).
Submission Guidelines
This Call for Papers expects two kinds of contributions.
The first (Track 1 on RR Frameworks) is dedicated to the general topics of Reproducible Research in experimental Computer Science with clear links to Image Processing and Pattern Recognition. Papers describing experiences, frameworks or platforms are welcome. The contributions might also include discussions on software libraries, experiences highlighting how the works benefit from Reproducible Research.
In the second kind of contributions (Track 2 on RR Results), authors will be invited to describe their works in terms of Reproducible Research. For example, authors of papers already accepted to ICPR might propose a companion paper describing the quality of the reproducible aspects. In particular the papers of this track can focus mainly (but not limited) for instance on:
- Algorithmic implementation details
- Link to implementation with source code given by the authors (for example, a link to GitHub or to the website of the author).
- Influence of parameter(s) for the result quality (criteria to optimize them).
- Integration of source code in an other framework.
- Known limitations (or difficult cases).
- Future improvements.
- Installation procedure.
For this track, the topics could overlap with the main topics of the ICPR tracks:
- Geometry and Deep Learning (special track)
- Discrete Geometry and Mathematical Morphology
- Pattern Recognition and Machine Learning
- Computer Vision and Robot Vision
- Image, Speech, Signal, and Video Processing
- Document Analysis, Biometrics, and Pattern Recognition Applications.
- Biomedical Image Analysis and Applications
Committees
Chairs
- Bertrand Kerautret (main chair, LIRIS, de Lyon 2, Lyon)
- Miguel Colom (Centre Borelli, ENS Paris-Saclay)
- Daniel Lopresti( Lehigh University, Bethlehem, PA 18015)
- Pascal Monasse (LIGM, École des Ponts Paris)
- Jean-Michel Morel (Centre Borelli, ENS Paris-Saclay)
- Hugues Talbot (Center for Numerical Vision, CentraleSupelec, Paris)
Special Track on Geometry and Deep Learning Chair
- Nicolas Mellado (IRIT, CNRS, Université Paul Sabatier)
- Odyssée Merveille (CREATIS/ INSA Lyon)
- Jonathan Weber (IRIMAS, Université de Haute-Alsace)
Reproducible Label Chair
- Adrien Krähënbühl (ICube, University of Strasbourg)
Scientific Committe
- Pablo Arias (CMLA, ENS Paris Saclay)
- Fabien Baldacci (LaBRI, Université de Bordeaux)
- Jenny Benois-Pineau (LaBRI, Université de Bordeaux)
- Partha Bhowmick (IIT, Kharagpur)
- Arindam Biswas (IIEST, Shibpur)
- Alexandre Boulch (Valea.ai, Paris)
- Luc Brun (GREYC, Ensicaen, Caen)
- Leszek Chmielewski (WZIM, University of Life Sciences, Warsaw)
- David Coeurjolly (LIRIS, CNRS, Lyon)
- Miguel Colom (Centre Borelli, ENS Paris-Saclay)
- Carlos Crispim-Junior (LIRIS, Université de Lyon 2)
- Isabelle Debled-Rennesson (LORIA, Université de Lorraine)
- Pascal Desbarats (LaBRI, Université de Bordeaux)
- Philippe Even (LORIA, Université de Lorraine)
- Yukiko Kenmochi (Laboratoire d'informatique Gaspard-Monge)
- Bertrand Kerautret (LIRIS, Université de Lyon 2)
- Adrien Krähënbühl (ICube, University of Strasbourg)
- Jacques-Olivier Lachaud (LAMA, Université Savoie Mont Blanc)
- Daniel Lopresti (Lehigh University, Bethlehem, PA 18015)
- Vincent Mazet (ICube, University of Strasbourg)
- Enric Meinhardt (CMLA, ENS Paris Saclay)
- Nicolas Mellado (IRIT, CNRS, Université Paul Sabatier)
- Odyssée Merveille (CREATIS/ INSA Lyon)
- Pascal Monasse (LIGM, École des Ponts ParisTech)
- Nelson Monzón (Universidad de las Palmas de Gran Canaria)
- Jean-Michel Morel (Centre Borelli, ENS Paris-Saclay)
- Serge Miguet (LIRIS, Université de Lyon 2)
- Pierre Moulon (Zillow Group, Seattle, USA)
- Khadija Musayeva (LORIA, Université de Lorraine)
- Benoît Naegel (ICube, University of Strasbourg)
- Phuc Ngo (LORIA, Université de Lorraine)
- Thanh Phuong Nguyen (University of Toulon)
- Nicolas Normand (Polytech Nantes)
- Nicolas Passat (CReSTIC, Reims)
- Fabien Pierre (LORIA, Université de Lorraine, Nancy)
- François Rousseau (LATIM Telecom Bretagne)
- Loïc Simon (GREYC, Ensicaen, Caen)
- Isabelle Sivignon (GIPSA-lab, Grenoble)
- Robin Strand (Centre for Image Analysis, Uppsala University)
- Hugues Talbot (Center for Numerical Vision, CentraleSupelec, Paris)
- Iulia Tkachenko (LIRIS, Université de Lyon 2)
- Laure Tougne (LIRIS, Université de Lyon 2)
- Antoine Vacavant (Institut Pascal, Clermont-Ferrand)
- Jonathan Weber (IRIMAS, Université de Haute-Alsace)
- Laurent Wendling (LIPADE, Université Paris Descartes)
Contact
All questions about submissions should be emailed to rrpr2020@sciencesconf.org