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ORCIDLuc Brun
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- affiliation: University of Caen, France
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2020 – today
- 2025
[j30]Stevan Stanovic
, Benoit Gaüzère, Luc Brun:
Graph Neural Networks with maximal independent set-based pooling: Mitigating over-smoothing and over-squashing. Pattern Recognit. Lett. 187: 14-20 (2025)- 2024
- [j29]Mathieu Seraphim, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard:
Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks. SN Comput. Sci. 5(7): 953 (2024) - [c91]Mathieu Seraphim, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard:
Structure-Preserving Transformers for Sequences of SPD Matrices. EUSIPCO 2024: 1451-1455 - [c90]Irina Proskurina, Luc Brun, Guillaume Metzler, Julien Velcin:
When Quantization Affects Confidence of Large Language Models? NAACL-HLT (Findings) 2024: 1918-1928 - [i17]Irina Proskurina, Luc Brun, Guillaume Metzler, Julien Velcin:
When Quantization Affects Confidence of Large Language Models? CoRR abs/2405.00632 (2024) - [i16]Mathieu Seraphim, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard:
Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks. CoRR abs/2410.19819 (2024) - 2023
- [c89]Paul Dequidt, Mathieu Seraphim, Alexis Lechervy, Ivan Igor Gaez, Luc Brun, Olivier Etard:
Automatic Sleep Stage Classification on EEG Signals Using Time-Frequency Representation. AIME 2023: 250-259 - [c88]Mathieu Seraphim, Paul Dequidt, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard:
Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms. CAIP (2) 2023: 67-76 - [c87]Stevan Stanovic, Benoit Gaüzère, Luc Brun:
Maximal Independent Sets for Pooling in Graph Neural Networks. GbRPR 2023: 113-124 - [i15]Stevan Stanovic, Benoit Gaüzère, Luc Brun:
Maximal Independent Sets for Pooling in Graph Neural Networks. CoRR abs/2307.13011 (2023) - [i14]Mathieu Seraphim, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard:
Structure-Preserving Transformers for Sequences of SPD Matrices. CoRR abs/2309.07579 (2023) - 2022
- [c86]Luc Brun, Benoit Gaüzère, Guillaume Renton, Sébastien Bougleux, Florian Yger:
A differentiable approximation for the Linear Sum Assignment Problem with Edition. ICPR 2022: 3822-3828 - [c85]Stevan Stanovic, Benoit Gaüzère, Luc Brun:
Maximal Independent Vertex Set Applied to Graph Pooling. S+SSPR 2022: 11-21 - [i13]Stevan Stanovic, Benoit Gaüzère, Luc Brun:
Maximal Independent Vertex Set applied to Graph Pooling. CoRR abs/2208.01648 (2022) - 2021
- [j28]David B. Blumenthal, Johann Gamper, Sébastien Bougleux, Luc Brun:
Upper Bounding Graph Edit Distance Based on Rings and Machine Learning. Int. J. Pattern Recognit. Artif. Intell. 35(8): 2151008:1-2151008:32 (2021) - [j27]David B. Blumenthal, Nicolas Boria, Sébastien Bougleux, Luc Brun, Johann Gamper, Benoit Gaüzère:
Scalable generalized median graph estimation and its manifold use in bioinformatics, clustering, classification, and indexing. Inf. Syst. 100: 101766 (2021) - [c84]Mostefa Ben Naceur, Luc Brun, Olivier Lézoray:
Lightweight Deep Symmetric Positive Definite Manifold Network for Real-Time 3D Hand Gesture Recognition. FG 2021: 1-8 - [i12]Luc Brun, Benoit Gaüzère, Sébastien Bougleux, Florian Yger:
A new Sinkhorn algorithm with Deletion and Insertion operations. CoRR abs/2111.14565 (2021) - 2020
- [j26]Nicolas Boria, David B. Blumenthal, Sébastien Bougleux, Luc Brun:
Improved local search for graph edit distance. Pattern Recognit. Lett. 129: 19-25 (2020) - [j25]Luc Brun, Pasquale Foggia, Mario Vento:
Trends in graph-based representations for Pattern Recognition. Pattern Recognit. Lett. 134: 3-9 (2020) - [j24]Sébastien Bougleux, Benoit Gaüzère, David B. Blumenthal, Luc Brun:
Fast linear sum assignment with error-correction and no cost constraints. Pattern Recognit. Lett. 134: 37-45 (2020) - [j23]David B. Blumenthal, Nicolas Boria, Johann Gamper, Sébastien Bougleux, Luc Brun:
Comparing heuristics for graph edit distance computation. VLDB J. 29(1): 419-458 (2020) - [c83]Xuan Son Nguyen, Luc Brun, Olivier Lézoray, Sébastien Bougleux:
Learning Recurrent High-order Statistics for Skeleton-based Hand Gesture Recognition. ICPR 2020: 975-982 - [c82]Wajdi Ghezaiel, Luc Brun, Olivier Lézoray:
Hybrid Network For End-To-End Text-Independent Speaker Identification. ICPR 2020: 2352-2359 - [c81]Wajdi Ghezaiel, Luc Brun, Olivier Lézoray:
Wavelet Scattering Transform and CNN for Closed Set Speaker Identification. MMSP 2020: 1-6
2010 – 2019
- 2019
- [c80]Xuan Son Nguyen, Luc Brun, Olivier Lezoray, Sébastien Bougleux:
A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition. CVPR 2019: 12036-12045 - [c79]Xuan Son Nguyen, Luc Brun, Olivier Lézoray, Sébastien Bougleux:
Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks. FG 2019: 1-5 - [c78]David B. Blumenthal, Sébastien Bougleux, Johann Gamper, Luc Brun:
GEDLIB: A C++ Library for Graph Edit Distance Computation. GbRPR 2019: 14-24 - [c77]Nicolas Boria, Sébastien Bougleux, Benoit Gaüzère, Luc Brun:
Generalized Median Graph via Iterative Alternate Minimizations. GbRPR 2019: 99-109 - [i11]Xuan Son Nguyen, Luc Brun, Olivier Lézoray, Sébastien Bougleux:
A neural network based on SPD manifold learning for skeleton-based hand gesture recognition. CoRR abs/1904.12970 (2019) - [i10]Xuan Son Nguyen, Luc Brun, Olivier Lezoray, Sébastien Bougleux:
Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks. CoRR abs/1905.07917 (2019) - [i9]Nicolas Boria, Sébastien Bougleux, Benoit Gaüzère, Luc Brun:
Generalized Median Graph via Iterative Alternate Minimizations. CoRR abs/1906.11009 (2019) - [i8]David B. Blumenthal, Sébastien Bougleux, Johann Gamper, Luc Brun:
Upper Bounding GED via Transformations to LSAPE Based on Rings and Machine Learning. CoRR abs/1907.00203 (2019) - [i7]Nicolas Boria, David B. Blumenthal, Sébastien Bougleux, Luc Brun:
Improved local search for graph edit distance. CoRR abs/1907.02929 (2019) - 2018
- [c76]David B. Blumenthal, Évariste Daller, Sébastien Bougleux, Luc Brun, Johann Gamper:
Quasimetric Graph Edit Distance as a Compact Quadratic Assignment Problem. ICPR 2018: 934-939 - [c75]Amal Mahboubi, Luc Brun, Donatello Conte:
A structural approach to Person Re-identification problem. ICPR 2018: 1616-1621 - [c74]Évariste Daller, Sébastien Bougleux, Benoit Gaüzère, Luc Brun:
Approximate Graph Edit Distance by Several Local Searches in Parallel. ICPRAM 2018: 149-158 - [c73]Évariste Daller, Sébastien Bougleux, Luc Brun, Olivier Lézoray:
Local Patterns and Supergraph for Chemical Graph Classification with Convolutional Networks. S+SSPR 2018: 97-106 - [c72]David B. Blumenthal, Sébastien Bougleux, Johann Gamper, Luc Brun:
Ring Based Approximation of Graph Edit Distance. S+SSPR 2018: 293-303 - [c71]Nicolas Boria, Sébastien Bougleux, Luc Brun:
Approximating GED Using a Stochastic Generator and Multistart IPFP. S+SSPR 2018: 460-469 - 2017
- [j22]Sébastien Bougleux, Luc Brun, Vincenzo Carletti, Pasquale Foggia, Benoit Gaüzère, Mario Vento:
Graph edit distance as a quadratic assignment problem. Pattern Recognit. Lett. 87: 38-46 (2017) - [j21]Pierre-Anthony Grenier, Luc Brun, Didier Villemin:
Chemoinformatics and stereoisomerism: A stereo graph kernel together with three new extensions. Pattern Recognit. Lett. 87: 222-230 (2017) - [j20]Zeina Abu-Aisheh, Benoit Gaüzère, Sébastien Bougleux, Jean-Yves Ramel, Luc Brun, Romain Raveaux, Pierre Héroux, Sébastien Adam:
Graph edit distance contest: Results and future challenges. Pattern Recognit. Lett. 100: 96-103 (2017) - [c70]Sébastien Bougleux, Benoit Gaüzère, Luc Brun:
A Hungarian Algorithm for Error-Correcting Graph Matching. GbRPR 2017: 118-127 - 2016
- [j19]Luc Brun, Gennaro Percannella, Alessia Saggese, Mario Vento:
Action recognition by using kernels on aclets sequences. Comput. Vis. Image Underst. 144: 3-13 (2016) - [c69]Pierre-Anthony Grenier, Luc Brun, Didier Villemin:
Taking into account stereoisomerism in the prediction of molecular properties. ICPR 2016: 1542-1547 - [c68]Sébastien Bougleux, Benoit Gaüzère, Luc Brun:
Graph edit distance as a quadratic program. ICPR 2016: 1701-1706 - [c67]Youssef El Rhabi, Loïc Simon, Luc Brun, Josep Lladós Canet, Felipe Lumbreras:
Information Theoretic Rotationwise Robust Binary Descriptor Learning. S+SSPR 2016: 368-378 - [c66]Benoit Gaüzère, Sébastien Bougleux, Luc Brun:
Approximating Graph Edit Distance Using GNCCP. S+SSPR 2016: 496-506 - [i6]Sébastien Bougleux, Luc Brun:
Linear Sum Assignment with Edition. CoRR abs/1603.04380 (2016) - 2015
- [j18]Benoit Gaüzère, Pierre-Anthony Grenier, Luc Brun, Didier Villemin:
Treelet kernel incorporating cyclic, stereo and inter pattern information in chemoinformatics. Pattern Recognit. 48(2): 356-367 (2015) - [c65]Rachid Hafiane, Luc Brun, Salvatore Tabbone:
Incremental Embedding Within a Dissimilarity-Based Framework. GbRPR 2015: 64-73 - [c64]Vincenzo Carletti, Benoit Gaüzère, Luc Brun, Mario Vento:
Approximate Graph Edit Distance Computation Combining Bipartite Matching and Exact Neighborhood Substructure Distance. GbRPR 2015: 188-197 - [c63]Pierre-Anthony Grenier, Luc Brun, Didier Villemin:
From Bags to Graphs of Stereo Subgraphs in Order to Predict Molecule'S Properties. GbRPR 2015: 305-314 - [c62]Luc Brun, Pasquale Foggia, Alessia Saggese, Mario Vento:
Recognition of Human Actions using Edit Distance on Aclet Strings. VISAPP (2) 2015: 97-103 - [i5]Sébastien Bougleux, Luc Brun, Vincenzo Carletti, Pasquale Foggia, Benoit Gaüzère, Mario Vento:
A Quadratic Assignment Formulation of the Graph Edit Distance. CoRR abs/1512.07494 (2015) - 2014
- [j17]Luc Brun, Alessia Saggese, Mario Vento:
Dynamic Scene Understanding for Behavior Analysis Based on String Kernels. IEEE Trans. Circuits Syst. Video Technol. 24(10): 1669-1681 (2014) - [c61]Luc Brun, Gennaro Percannella, Alessia Saggese, Mario Vento:
HAck: A system for the recognition of human actions by kernels of visual strings. AVSS 2014: 142-147 - [c60]Luc Brun, Alessia Saggese, Mario Vento:
A reliable string kernel based approach for solving queries by sketch. AVSS 2014: 393-398 - [c59]Luc Brun, Benito Cappellania, Alessia Saggese, Mario Vento:
Detection of anomalous driving behaviors by unsupervised learning of graphs. AVSS 2014: 405-410 - [c58]Rachid Hafiane, Luc Brun, Salvatore Tabbone:
Plongement incrémental dans un contexte de dissimilarité. CORIA-CIFED 2014: 261-275 - [c57]Pierre-Anthony Grenier, Luc Brun, Didier Villemin:
A Graph Kernel Incorporating Molecule's Stereisomerism Information. ICPR 2014: 631-636 - [c56]Benoit Gaüzère, Luc Brun, Didier Villemin:
Graph Kernel Encoding Substituents' Relative Positioning. ICPR 2014: 637-642 - [c55]Pierre-Anthony Grenier, Luc Brun, Didier Villemin:
Incorporating Molecule's Stereisomerism within the Machine Learning Framework. S+SSPR 2014: 12-21 - [c54]Benoit Gaüzère, Sébastien Bougleux, Kaspar Riesen, Luc Brun:
Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks. S+SSPR 2014: 73-82 - [c53]Amal Mahboubi, Luc Brun, Donatello Conte, Pasquale Foggia, Mario Vento:
Tracking System with Re-identification Using a RGB String Kernel. S+SSPR 2014: 333-342 - 2013
- [j16]Benoit Gaüzère, Luc Brun, Didier Villemin:
Noyau de Treelets appliqué aux graphes étiquetés et aux graphes de cycles. Rev. d'Intelligence Artif. 27(1): 121-144 (2013) - [c52]Jaume Gibert, Ernest Valveny, Horst Bunke, Luc Brun:
Graph Clustering through Attribute Statistics Based Embedding. CAIP (1) 2013: 302-309 - [c51]Amal Mahboubi, Luc Brun, Donatello Conte, Pasquale Foggia, Mario Vento:
Tracking System with Re-identification Using a Graph Kernels Approach. CAIP (1) 2013: 401-408 - [c50]Donatello Conte, Jean-Yves Ramel, Nicolas Sidere, Muhammad Muzzamil Luqman, Benoit Gaüzère, Jaume Gibert, Luc Brun, Mario Vento:
A Comparison of Explicit and Implicit Graph Embedding Methods for Pattern Recognition. GbRPR 2013: 81-90 - [c49]Benoit Gaüzère, Luc Brun, Didier Villemin:
Relevant Cycle Hypergraph Representation for Molecules. GbRPR 2013: 111-120 - [c48]Pierre-Anthony Grenier, Luc Brun, Didier Villemin:
Treelet Kernel Incorporating Chiral Information. GbRPR 2013: 132-141 - [c47]Luc Brun, Alessia Saggese, Mario Vento:
Learning and Classification of Car Trajectories in Road Video by String Kernels. VISAPP (1) 2013: 709-714 - 2012
- [j15]Benoit Gaüzère, Luc Brun, Didier Villemin:
Two new graphs kernels in chemoinformatics. Pattern Recognit. Lett. 33(15): 2038-2047 (2012) - [c46]Sébastien Bougleux, François-Xavier Dupé, Luc Brun, Benoit Gaüzère, Myriam Mokhtari:
Shape similarity based on combinatorial maps and a tree pattern kernel. ICPR 2012: 1602-1605 - [c45]Benoit Gaüzère, Luc Brun, Didier Villemin, Myriam Brun:
Graph kernels based on relevant patterns and cycle information for chemoinformatics. ICPR 2012: 1775-1778 - [c44]Luc Brun, Alessia Saggese, Mario Vento:
A Clustering Algorithm of Trajectories for Behaviour Understanding Based on String Kernels. SITIS 2012: 267-274 - [c43]Benoit Gaüzère, Luc Brun, Didier Villemin:
Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance. SSPR/SPR 2012: 42-50 - [c42]Sébastien Bougleux, François-Xavier Dupé, Luc Brun, Myriam Mokhtari:
Shape Similarity Based on a Treelet Kernel with Edition. SSPR/SPR 2012: 199-207 - [c41]Benoit Gaüzère, Makoto Hasegawa, Luc Brun, Salvatore Tabbone:
Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications. SSPR/SPR 2012: 510-518 - 2011
- [j14]Edwin R. Hancock, Andrea Torsello, Francisco Escolano, Luc Brun:
Special issue on Graph-Based Representations in Computer Vision. Comput. Vis. Image Underst. 115(7): 903-904 (2011) - [j13]Romain Goffe, Luc Brun, Guillaume Damiand:
Tiled top-down combinatorial pyramids for large images representation. Int. J. Imaging Syst. Technol. 21(1): 28-36 (2011) - [j12]Haz-Edine Assemlal, David Tschumperlé, Luc Brun, Kaleem Siddiqi:
Recent advances in diffusion MRI modeling: Angular and radial reconstruction. Medical Image Anal. 15(4): 369-396 (2011) - [c40]Benoit Gaüzère, Luc Brun, Didier Villemin:
Two New Graph Kernels and Applications to Chemoinformatics. GbRPR 2011: 112-121 - [c39]Romain Goffe, Luc Brun, Guillaume Damiand:
Tiled Top-Down Pyramids and Segmentation of Large Histological Images. GbRPR 2011: 255-264 - [c38]Luc Brun, Donatello Conte, Pasquale Foggia, Mario Vento:
People Re-identification by Graph Kernels Methods. GbRPR 2011: 285-294 - [c37]Luc Brun, Donatello Conte, Pasquale Foggia, Mario Vento:
A Graph-Kernel Method for Re-identification. ICIAR (1) 2011: 173-182 - 2010
- [c36]Luc Brun, Donatello Conte, Pasquale Foggia, Mario Vento, Didier Villemin:
Symbolic Learning vs. Graph Kernels: An Experimental Comparison in a Chemical Application. ADBIS (Local Proceedings) 2010: 31-40 - [c35]Sébastien Fourey, Luc Brun:
Efficient Encoding of n-D Combinatorial Pyramids. ICPR 2010: 1036-1039 - [c34]François-Xavier Dupé, Sébastien Bougleux, Luc Brun, Olivier Lezoray, Abderrahim Elmoataz:
Kernel-Based Implicit Regularization of Structured Objects. ICPR 2010: 2142-2145 - [c33]Amal Mahboubi, Luc Brun, François-Xavier Dupé:
Object classification based on graph kernels. HPCS 2010: 385-389 - [c32]Romain Goffe, Guillaume Damiand, Luc Brun:
A Causal Extraction Scheme in Top-Down Pyramids for Large Images Segmentation. SSPR/SPR 2010: 264-274
2000 – 2009
- 2009
- [j11]Aline Deruyver, Yann Hodé, Luc Brun:
Image interpretation with a conceptual graph: Labeling over-segmented images and detection of unexpected objects. Artif. Intell. 173(14): 1245-1265 (2009) - [j10]Luc Brun, Francisco Escolano:
Preface. Image Vis. Comput. 27(7): 835-836 (2009) - [j9]Haz-Edine Assemlal, David Tschumperlé, Luc Brun:
Efficient and robust computation of PDF features from diffusion MR signal. Medical Image Anal. 13(5): 715-729 (2009) - [c31]François-Xavier Dupé, Luc Brun:
Shape Classification Using a Flexible Graph Kernel. CAIP 2009: 705-713 - [c30]Guillaume Née, Stéphanie Jehan-Besson, Luc Brun, Marinette Revenu:
Significance Tests and Statistical Inequalities for Segmentation by Region Growing on Graph. CAIP 2009: 939-946 - [c29]François-Xavier Dupé, Luc Brun:
Edition within a Graph Kernel Framework for Shape Recognition. GbRPR 2009: 11-20 - [c28]Sébastien Fourey, Luc Brun:
A First Step toward Combinatorial Pyramids in n-D Spaces. GbRPR 2009: 304-313 - [c27]François-Xavier Dupé, Luc Brun:
Tree Covering within a Graph Kernel Framework for Shape Classification. ICIAP 2009: 278-287 - [c26]David Tschumperlé, Luc Brun:
Non-local image smoothing by applying anisotropic diffusion PDE's in the space of patches. ICIP 2009: 2957-2960 - [c25]Sébastien Fourey, Luc Brun:
Connecting Walks and Connecting Dart Sequences in n-D Combinatorial Pyramids. IWCIA Special Track on Applications 2009: 109-122 - [c24]Romain Goffe, Guillaume Damiand, Luc Brun:
Extraction of Tiled Top-down Irregular Pyramids from Large Images. IWCIA Special Track on Applications 2009: 123-137 - [c23]Haz-Edine Assemlal, David Tschumperlé, Luc Brun:
Evaluation of q-Space Sampling Strategies for the Diffusion Magnetic Resonance Imaging. MICCAI (1) 2009: 406-414 - [c22]Romain Goffe, Luc Brun, Guillaume Damiand:
A Top Down Construction Scheme for Irregular Pyramids. VISAPP (1) 2009: 163-170 - [e2]Andrea Torsello, Francisco Escolano, Luc Brun:
Graph-Based Representations in Pattern Recognition, 7th IAPR-TC-15 International Workshop, GbRPR 2009, Venice, Italy, May 26-28, 2009. Proceedings. Lecture Notes in Computer Science 5534, Springer 2009, ISBN 978-3-642-02123-7 [contents] - [i4]Martin Braure de Calignon, Luc Brun, Jacques-Olivier Lachaud:
Combinatorial pyramids and discrete geometry for energy-minimizing segmentation. CoRR abs/0906.2770 (2009) - 2008
- [j8]Mohammed El Hassani, Stéphanie Jehan-Besson, Luc Brun, Marinette Revenu, Marc Duranton, David Tschumperlé, Delphine Rivasseau:
A Time-Consistent Video Segmentation Algorithm Designed for Real-Time Implementation. VLSI Design 2008: 892370:1-892370:12 (2008) - [c21]Luc Brun, Jean-Hugues Pruvot:
Hierarchical Matching Using Combinatorial Pyramid Framework. ICISP 2008: 346-355 - [c20]Christophe Rosenberger, Luc Brun:
Similarity-based matching for face authentication. ICPR 2008: 1-4 - [c19]Haz-Edine Assemlal, David Tschumperlé, Luc Brun:
Efficient Computation of PDF-Based Characteristics from Diffusion MR Signal. MICCAI (2) 2008: 70-78 - [c18]François-Xavier Dupé, Luc Brun:
Hierarchical Bag of Paths for Kernel Based Shape Classification. SSPR/SPR 2008: 227-236 - [c17]Guillaume Née, Stéphanie Jehan-Besson, Luc Brun, Marinette Revenu:
Significance Tests and Statistical Inequalities for Region Matching. SSPR/SPR 2008: 350-360 - [i3]François-Xavier Dupé, Luc Brun:
Hierarchical Bag of Paths for Kernel Based Shape Classification. CoRR abs/0810.3579 (2008) - 2007
- [c16]