Reproducible Research in Pattern Recognition: Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers

161 Pages·2019·15.796 MB·English

by  Bertrand Kerautret, Miguel Colom, Daniel Lopresti, Pascal Monasse, Hugues Talbot

Bertrand Kerautret · Miguel Colom ·
Daniel Lopresti · Pascal Monasse ·
Hugues Talbot (Eds.)
5
5
4 Reproducible Research
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Second International Workshop, RRPR 2018
Beijing, China, August 20, 2018
Revised Selected Papers
Lecture Notes in Computer Science 11455
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ETH Zurich, Zurich, Switzerland
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Stanford University, Stanford, CA, USA
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Weizmann Institute of Science, Rehovot, Israel
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Indian Institute of Technology Madras, Chennai, India
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Bertrand Kerautret Miguel Colom
(cid:129) (cid:129)
Daniel Lopresti Pascal Monasse
(cid:129) (cid:129)
Hugues Talbot (Eds.)
Reproducible Research
in Pattern Recognition
Second International Workshop, RRPR 2018
Beijing, China, August 20, 2018
Revised Selected Papers
123
Editors
Bertrand Kerautret Miguel Colom
LIRIS CMLA, ENSCachan,CNRS
UniversitédeLyon 2 UniversitéParis-Saclay
Bron, France Cachan,France
DanielLopresti PascalMonasse
Department ofComputer Science Laboratoire d'Informatique Gaspard-Monge
andEngineering Ecoledes Ponts Paristech
LehighUniversity Marne-la-Vallée, France
Bethlehem, PA,USA
Hugues Talbot
CentraleSupelec
Universite Paris-Saclay
Gif-sur-Yvette, France
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notesin Computer Science
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Preface
This volume contains the articles from the second edition of the Workshop on Repro-
ducible Research in Pattern Recognition that was held during August 20, 2018, in
conjunctionwithICPR2018inBeijing.Itfollowedinthesamespiritasthefirstedition
withaspecialfocusondigitalgeometryandmathematicalmorphology.Itwasintended
as both a short participative course on reproducible research (RR) aspects leading to
opendiscussionswiththeparticipantsandalsoonhowtoactuallyperformRR.Forthis
secondedition,anewcallforshortpaperswasproposedtotheICPRauthors.Themain
ideawastogiveauthorsofalreadyacceptedICPRpapersthepossibilitytohighlightthe
reproducibilityoftheirworkwithacompanionpaper.Itwasanopportunitytoinclude
implementation details, source code descriptions, parameter choice etc.
This proceedings volume gathers 14 contributions covering the RR result track
(three papers), invited RR contributions (five papers), and the new companion paper
tracks (six papers). The contributions were reviewed by an average of 2.35 reviewers
and the short papers were generally given two assessments: one for the short paper
itselfandanotherfromtheRRlabellinkedtothecoderepository(whenauthorsapply
forthelabel).Acomparablenumberofparticipantswerepresentinthisworkshopwith
around 25 participants. The public participated actively in the discussions with pre-
sentersfocusingonRR.Thenumberofauthorsincreasedbyover45%forthissecond
edition with 41 different authors.
From all the contributions, two invited talks opened the workshop. The first was
relatedtotheevolutionandthefutureoftheIPOLjournal,includinganewstructurefor
machine learning applications. The second invited talk focused on a review of repro-
ducibleresearchplatformswithanoverviewofthemostrecentsmeansofpublication.
ThethreemainpapersonRRresultswereoralpresentationsandfourshortpaperswere
oralfast-track presentations.Inadditiontothesenew classicpresentations, anewtype
of practical session was proposed by Miguel Colom with “Hands on IPOL Demon-
stration System” where users were able to construct their own online demonstration
from a simple description file.
As in the first edition, the RRPR workshop received the endorsement of the
International Association of Pattern Recognition (IAPR). We would like to thank this
associationaswellasallauthorswhocontributedtotheseproceedings.Wealsothank
the Springer computer sciences team and in particular Alfred Hofman and Anna
Kramer,forallowingtousonceagaintopublishtheproceedingsasanLNCSvolume.
Finally, we also thank Jean-Michel Morel for supporting our initiative and Audrey
BichetoftheMMIdepartmentofSaintDié-des-Vosgesfordesigninganewposterfor
this workshop.
March 2019 Bertrand Kerautret
Miguel Colom
Daniel Lopresti
Pascal Monasse
Hugues Talbot
Organization
Chairs
Bertrand Kerautret LIRIS, Université de Lyon 2, France
Miguel Colom CMLA, ENS Paris Saclay, France
Bart Lamiroy LORIA, Université de Lorraine, France
Daniel Lopresti CSE, Lehigh University, USA
Pascal Monasse LIGM, École des Ponts, France
Jean-Michel Morel CMLA, ENS Paris Saclay, France
Fabien Pierre LORIA, Université de Lorraine, France
Hugues Talbot CentraleSupelec, Universite Paris-Saclay, France
Reproducible Label Chair
Adrien Krähënbühl ICube, Université de Strasbourg, France
Program Committee
Pablo Arias CMLA ENS Paris-Saclay, France
Fabien Baldacci LaBRI, University of Bordeaux, France
K. Joost Batenburg University of Antwerp, Belgium
Jenny Benois-Pineau LaBRI, University of Bordeaux, France
Partha Bhowmick IIT, Kharagpur, India
Arindam Biswas IIEST, Shibpur, India
Alexandre Boulch ONERA, France
Luc Brun GREYC, Caen Normandy University, France
Leszek J. Chmielewski Warsaw University of Life Sciences, Poland
Miguel Colom CMLA ENS Paris-Saclay, France
David Coeurjolly LIRIS, CNRS, France
Isabelle Debled-Rennesson LORIA, University of Lorraine, France
Pascal Desbarats LaBRI, University of Bordeaux, France
Philippe Even LORIA, University of Lorraine, France
Yukiko Kenmochi LIGM, CNRS, France
Bertrand Kerautret LIRIS, Université de Lyon 2, France
Adrien Krähenbühl ICube, Université de Strasbourg, France
Jacques-Olivier Lachaud LAMA, University Savoie Mont Blanc, France
Bart Lamiroy LORIA, University of Lorraine, France
Daniel Lopresti CSE, Lehigh University, USA
Vincent Mazet ICube, Université de Strasbourg, France
Loïc Mazo ICube, Université de Strasbourg, France
Enric Meinhardt-Llopis CMLA ENS Paris-Saclay, France
Nicolas Mellado UPS, IRIT, CNRS, Université de Toulouse, France
viii Organization
Pascal Monasse LIGM, École des Ponts, France
Nelson Monzón López CTIM, ULPGC, Spain
Jean-Michel Morel CMLA ENS Paris-Saclay, France
Pierre Moulon Zillow Group, Seattle, USA
Khadija Musayeva LORIA, University of Lorraine, France
Benoît Naegel ICube, Université de Strasbourg, France
Phuc Ngo LORIA, University of Lorraine, France
Thanh Phuong Nguyen University of Toulon, France
Nicolas Normand Polytech Nantes, France
Nicolas Passat Université de Reims Champagne-Ardenne, France
Fabien Pierre LORIA, University of Lorraine, France
Francois Rousseau Télécom Bretagne, France
Loïc Simon GREYC, Caen Normandy University, France
Isabelle Sivignon GIPSA-lab, CNRS, France
Robin Strand Centre for Image Analysis, Uppsala, Sweden
Hugues Talbot CentraleSupelec, Université Paris-Saclay, France
Antoine Vacavant IP/Université Clermont Auvergne, France
Jonathan Weber MIPS, Université de Haute-Alsace, France
Laurent Wendling LIPADE, Université Paris Descartes, France
Contents
Invited Talks
Extending IPOL to New Data Types and Machine-Learning Applications . . . 3
Miguel Colom
An Overview of Platforms for Reproducible Research
and Augmented Publications. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Miguel Colom, Bertrand Kerautret, and Adrien Krähenbühl
Reproducible Research Results
A Root-to-Leaf Algorithm Computing the Tree of Shapes of an Image . . . . . 43
Pascal Monasse
Discrete Regular Polygons for Digital Shape Rigid
Motion via Polygonization. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
Phuc Ngo, Yukiko Kenmochi, Nicolas Passat,
and Isabelle Debled-Rennesson
Non-deterministic Behavior of Ranking-Based Metrics
When Evaluating Embeddings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71
Anguelos Nicolaou, Sounak Dey, Vincent Christlein, Andreas Maier,
and Dimosthenis Karatzas
RRPR Short Papers
CNN Implementation for Semantic Heads Segmentation Using Top-View
Depth Data in Crowded Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85
Rocco Pietrini, Daniele Liciotti, Marina Paolanti, Emanuele Frontoni,
and Primo Zingaretti
Connected Components Labeling on DRAGs: Implementation
and Reproducibility Notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89
Federico Bolelli, Michele Cancilla, Lorenzo Baraldi,
and Costantino Grana
MATLAB Implementation Details of a Scalable Spectral Clustering
Algorithm with the Cosine Similarity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94
Guangliang Chen
x Contents
On the Implementation of ALFA – Agglomerative Late Fusion
Algorithm for Object Detection. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98
Iuliia Saveleva and Evgenii Razinkov
On Reproducibility of Deep Convolutional Neural Networks Approaches. . . . 104
Gabriele Piantadosi, Stefano Marrone, and Carlo Sansone
Some Comments on Variational Bayes Block Sparse Modeling
with Correlated Entries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110
Shruti Sharma, Santanu Chaudhury, and Jayadeva
Invited Reproducible Research Contributions
An Image Processing Library in Modern C++: Getting Simplicity
and Efficiency with Generic Programming. . . . . . . . . . . . . . . . . . . . . . . . . 121
Michaël Roynard, Edwin Carlinet, and Thierry Géraud
New Definition of Quality-Scale Robustness for Image Processing
Algorithms, with Generalized Uncertainty Modeling, Applied
to Denoising and Segmentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138
Antoine Vacavant, Marie-Ange Lebre, Hugo Rositi,
Manuel Grand-Brochier, and Robin Strand
ReScience C: A Journal for Reproducible Replications
in Computational Science. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150
Nicolas P. Rougier and Konrad Hinsen
Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157