Pierre Héroux
Pierre Héroux
Assistant Professor, LITIS - University of Rouen, France
Zweryfikowany adres z litislab.eu
Cytowane przez
Cytowane przez
Analyzing the expressive power of graph neural networks in a spectral perspective
M Balcilar, R Guillaume, P Héroux, B Gaüzère, S Adam, P Honeine
Proceedings of the International Conference on Learning Representations (ICLR), 2021
Classification method study for automatic form class identification
P Héroux, S Diana, A Ribert, E Trupin
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference …, 1998
New binary linear programming formulation to compute the graph edit distance
J Lerouge, Z Abu-Aisheh, R Raveaux, P Héroux, S Adam
Pattern Recognition 72, 254-265, 2017
Breaking the limits of message passing graph neural networks
M Balcilar, P Héroux, B Gauzere, P Vasseur, S Adam, P Honeine
International Conference on Machine Learning, 599-608, 2021
Texture feature benchmarking and evaluation for historical document image analysis
M Mehri, P Héroux, P Gomez-Krämer, R Mullot
International Journal on Document Analysis and Recognition (IJDAR) 20 (1), 1-35, 2017
An integer linear program for substitution-tolerant subgraph isomorphism and its use for symbol spotting in technical drawings
P Le Bodic, P Héroux, S Adam, Y Lecourtier
Pattern Recognition 45 (12), 4214-4224, 2012
Bridging the gap between spectral and spatial domains in graph neural networks
M Balcilar, G Renton, P Héroux, B Gauzere, S Adam, P Honeine
arXiv preprint arXiv:2003.11702, 2020
Graph edit distance contest: Results and future challenges
Z Abu-Aisheh, B Gaüzere, S Bougleux, JY Ramel, L Brun, R Raveaux, ...
Pattern Recognition Letters 100, 96-103, 2017
Texture feature evaluation for segmentation of historical document images
M Mehri, P Gomez-Krämer, P Héroux, A Boucher, R Mullot
Proceedings of the 2nd International Workshop on Historical Document Imaging …, 2013
Vector representation of graphs: Application to the classification of symbols and letters
N Sidere, P Héroux, JY Ramel
2009 10th International Conference on Document Analysis and Recognition, 681-685, 2009
Symbol spotting using full visibility graph representation
H Locteau, S Adam, E Trupin, J Labiche, P Héroux
Workshop on Graphics Recognition, 49-50, 2007
Learning graph prototypes for shape recognition
R Raveaux, S Adam, P Héroux, É Trupin
Computer Vision and Image Understanding 115 (7), 905-918, 2011
Clustering document images using a bag of symbols representation
E Barbu, P Héroux, S Adam, E Trupin
Document Analysis and Recognition, 2005. Proceedings. Eighth International …, 2005
Automatic ground-truth generation for document image analysis and understanding
P Héroux, E Barbu, S Adam, E Trupin
Ninth International Conference on Document Analysis and Recognition (ICDAR …, 2007
Symbol Detection Using Region Adjacency Graphs and Integer Linear Programming
PL Bodic, H Locteau, S Adam, P Heroux, Y Lecourtier, A Knippel
Proceedings of the 2009 10th International Conference on Document Analysis …, 2009
Exact graph edit distance computation using a binary linear program
J Lerouge, Z Abu-Aisheh, R Raveaux, P Héroux, S Adam
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2016
Using bags of symbols for automatic indexing of graphical document image databases
E Barbu, P Héroux, S Adam, É Trupin
Graphics Recognition. Ten Years Review and Future Perspectives: 6th …, 2006
A texture-based pixel labeling approach for historical books
M Mehri, P Gomez-Krämer, P Héroux, A Boucher, R Mullot
Pattern Analysis and Applications 20 (2), 325-364, 2017
Old document image segmentation using the autocorrelation function and multiresolution analysis
M Mehri, P Gomez-Krämer, P Héroux, R Mullot
Document Recognition and Retrieval XX 8658, 181-192, 2013
Predicting experimental electrophilicities from quantum and topological descriptors: a machine learning approach
G Hoffmann, M Balcilar, V Tognetti, P Héroux, B Gaüzère, S Adam, ...
Journal of Computational Chemistry 41 (24), 2124-2136, 2020
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