Publications

2018

  • Ciaran Mccreesh, Patrick Prosser, Christine Solnon & James Trimble (2018). « When Subgraph Isomorphism is Really Hard, and Why This Matters for Graph Databases ». Journal of Artificial Intelligence Research, vol. 61, pp. 723-759
  • Valentina Zantedeschi, Rémi Emonet, Marc Sebban. « Fast and Provably Effective Multi-view Classification with Landmark-based SVM« , ECML 2018.
  • Ruth Hoffmann, Ciaran Mccreesh, Samba Ndojh Ndiaye, Patrick Prosser, Craig Reilly, Christine Solnon & James Trimble (2018). « Observations from Parallelising Three Maximum Common (Connected) Subgraph Algorithms ». 15th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), LNCS 10849:298-315, Springer

2017

  • Damien Fourure, Rémi Emonet, Elisa Fromont, Damien Muselet, Natalia Neverova, Alain Trémeau, Christian Wolf.« Multi-task, Multi-domain Learning: Application to Semantic Segmentation and Pose Regression ». Neurocomputing, Vol. 251, 16 August 2017, Pages 68-80.
  • Damien Fourure, Rémi Emonet, Elisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf.« Residual Conv-Deconv Grid Network for Semantic Segmentation ». BMVC’2017 British Machine Vision Conference, London, 2017
  • Romain Deville, Elisa Fromont, Baptiste Jeudy & Christine Solnon (2017). « Mining Frequent Patterns in 2D+t Grid Graphs for Cellular Automata Analysis ». Graph-Based Representations in Pattern Recognition: 11th IAPR-TC-15 International Workshop, GbRPR 2017, 18 mai 2017, Anacapri (Italie), pp. 177-186.
  • Maël Minot, Samba Ndojh Ndiaye & Christine Solnon (2017). « Combining CP and ILP in a tree decomposition of bounded height for the sum colouring problem ». 14th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), volume 10335 of LNCS, pages 359–375.
  • Kevin Bascol, Rémi Emonet, Elisa Fromont and Raluca Debusschere. « Improving Chairlift Security with Deep Learning ».IDA’2017 Sixteenth International Symposium on Intelligent Data Analysis. Springer, pp 1-13, London, 2017

 

2016

  • Valentina Zantedeschi, Remi Emonet, and Marc Sebban. beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data. In Advances in Neural Information Processing Systems 29 (NIPS 2016), Barcelona, Spain, December 2016.
  • Valentina Zantedeschi, Remi Emonet, and Marc Sebban. Metric Learning as Convex Combinations of Local Models with Generalization Guarantees. In CVPR 2016 Proceedings, Las Vegas, United States, June 2016.
  • Damien Fourure, Remi Emonet, Elisa Fromont, Damien Muselet, Alain Tremeau, and Christian Wolf. Semantic Segmentation via Multi-task, Multi-domain Learning. In  the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016) , Merida, Mexico, November 2016.
  • Kevin Bascol, Remi Emonet, Elisa Fromont, and Jean-Marc Odobez. Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders. In  the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016) , Merida, Mexico, November 2016.
  • Romain Deville, Elisa Fromont, Baptiste Jeudy, and Christine Solnon. GriMa: a Grid Mining Algorithm for Bag-of-Grid-Based Classi cation. In the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016) , Merida, Mexico, November 2016.
  • Damien Fourure, Remi Emonet, Elisa Fromont, Damien Muselet, Alain Tremeau, and Christian Wolf. Mixed Pooling Neural Networks for Color Constancy. In IEEE International Conference on Image Processing, ICIP 2016, Phoenix, United States, September 2016.
  • Guillaume Damiand and Rocio Gonzalez-Diaz. Parallel Homology Computation of Meshes. In Computational Topology in Image Context, volume 9667 of Lecture Notes in Computer Science, pages 53-64, Marseille, France, June 2016.
  • Lars Kottho , Ciaran Mccreesh, and Christine Solnon. Portfolios of Subgraph Isomorphism Algorithms. In Learning and Intelligent OptimizatioN Conference (LION 10), LNCS, Ischia Island (Naples), Italy, May 2016.
  • Valentina Zantedeschi, Remi Emonet, and Marc Sebban. Apprentissage de Combinaisons Convexes de Metriques Locales avec Garanties de Generalisation. In CAp2016, Marseille, France, July 2016.
  • Damien Fourure, Remi Emonet, Elisa Fromont, Damien Muselet, Alain Tremeau, and Christian Wolf. Segmentation de scenes exterieures à partir d’ensembles d’etiquettes à granularité et semantique variables. In RFIA 2016, Clermont Ferrand, France, June 2016.
  • Romain Deville, Elisa Fromont, Baptiste Jeudy, and Christine Solnon. Recherche efficicace de motifs fréquents dans des grilles. In RFIA 2016, Clermont Ferrand, France, June 2016.
  • Mael MINOT, Samba Ndojh Ndiaye, and Christine Solnon. Using CP and ILP with tree decomposition to solve the sum colouring problem. In Doctoral program of CP 2016, Toulouse, France, September 2016.
  • Ciaran Mccreesh, Samba Ndojh Ndiaye, Patrick Prosser, and Christine Solnon. Clique and Constraint Models for Maximum Common (Connected) Subgraph Problems. In 22nd International Conference on Principles and Practice of Constraint Programming (CP), Toulouse, France, September 2016.
  • Mael MINOT, Samba Ndojh Ndiaye, and Christine Solnon. An evaluation of complete approaches for the sum colouring problem. In Douziemes Journees Francophones de Programmation par Contraintes (JFPC 2016), Montpellier, France, June 2016.

2015

  • R. Aljundi, R. Emonet, D. Muselet, M. Sebban, Landmarks-based Kernelized Subspace Alignment for Unsupervised Domain Adaptation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, United States (2015)
  • R. Basura Fernando, Efstratios Gavves, Damien Muselet and Tinne Tuytelaars, Learning to rank based on subsequences, IEEE International Conference on Computer Vision ICCV 2015, Santiago, Chile.
  • Maël Minot,  Samba Ndojh Ndiaye, Christine Solnon: A Comparison of Decomposition Methods for the Maximum Common Subgraph Problem. ICTAI 2015 (to appear)
  • Christine Solnon, Guillaume Damiand, Colin de la Higuera, Jean-Christophe Janodet: On the complexity of submap isomorphism and maximum common submap problems. Pattern Recognition 48(2): 302-316 (2015)
  • Oya Çeliktutan, Christian Wolf, Bülent Sankur, Eric Lombardi:
    Fast Exact Hyper-graph Matching with Dynamic Programming for Spatio-temporal Data. Journal of Mathematical Imaging and Vision 51(1): 1-21 (2015)
  • Mingyuan Jiu, Christian Wolf, Graham W. Taylor, Atilla Baskurt:
    Human body part estimation from depth images via spatially-constrained deep learning. Pattern Recognition Letters 50: 122-129 (2014)
  • Maël MINOT, Samba Ndojh Ndiaye, Christine Solnon. Recherche d’un plus grand sous-graphe commun par décomposition du graphe de compatibilité. Onzièmes Journées Francophones de Programmation par Contraintes (JFPC), Jun 2015, Bordeaux, France. 2015.
  • Samba Ndojh Ndiaye, Christine Solnon. Un cadre générique pour l’intégration de BTD dans une bibliothèque de programmation par contraintes. Onzièmes Journées Francophones de Programmation par Contraintes (JFPC), Jun 2015, Bordeaux, France. 2015.
  • Elisa Fromont. Mine First to See Better: Constraint-based Data Mining for Computer Vision Applications. HDR, Université Jean Monnet, Saint-Etienne, December 2015.
  • Guillaume Damiand, Sylvain Brandel & Donatello Conte (2015). « Incremental Updating of 3D Topological Maps to Describe Videos ». International Workshop on Combinatorial Image Analysis, 27 novembre 2015, Kolkata (Inde), pp. 299-310

2014

  • Taygun Kekec, Rémi Emonet, Elisa Fromont, Alain Trémeau, Christian Wolf. Contextually Constrained Deep Networks for Scene Labeling. BMVC’2014 British Machine Vision Conference, Nottingham, Sept 2014.
  • Hoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy, Élisa Fromont. Mining Top-K Largest Tiles in a Data Stream. ECML/PKDD (2) 2014: 82-97
  • Michaël Perrot, Amaury Habrard, Damien Muselet, Marc Sebban. Modeling Perceptual Color Differences by Local Metric Learning. ECCV (5) 2014: 96-111
  • Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout. Hand segmentation with structured convolutional learning In Asian Conference on Computer Vision (ACCV), 2014.
  • Basura Fernando, Elisa Fromont and Tinne Tuytelaars Mining Mid-level Features for Image Classification, International Journal of Computer Vision, 108(3): 186-203 (2014)
  • Fabien Diot, Elisa Fromont, Baptiste Jeudy, Emmanuel Marilly and Olivier Martinot Unsupervised Tracking From Clustered Graph Patterns, ICPR’14: 22nd International Conference on Pattern Recognition, pp to appear, Stockholm, August 2014.
  • G. Damiand, T. Roussillon, C. Solnon.2D Topological Map Isomorphism for Multi-label Simple Transformation Definition. Dans DGCI 2014: 18th IAPR International Conference on Discrete Geometry for Computer Imagery, Siena. LNCS 8668, pp 39-50, 2014.
  • Aurélien Bellet, Amaury Habrard, Emilie Morvant, Marc Sebban. Learning a priori constrained weighted majority votes. Machine Learning 97(1-2): 129-154 (2014)
  • Donatello Conte & Guillaume Damiand (2014). « Remove Noise in Video with 3D Topological Maps ». 18th Joint International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition, 22 août 2014, Joensuu (Finlande), pp. 213-222.

 

NB: All publications should mention: « This work has been supported by the ANR project SoLStiCe (ANR-13-BS02-0002-01).