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Benjamin Perret
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2020 – today
- 2024
- [c35]Raphael Lapertot
, Giovanni Chierchia
End-to-End Ultrametric Learning for Hierarchical Segmentation. DGMM 2024: 286-297 - [c34]Josselin Lefèvre, Jean Cousty, Benjamin Perret, Harold Phelippeau:
Out-of-Core Attribute Algorithms for Binary Partition Hierarchies. DGMM 2024: 298-311 - [c33]Felipe Belém, Fábio Kochem, Zenilton Patrocínio, Benjamin Perret, Jean Cousty, Alexandre X. Falcão, Silvio Jamil Ferzoli Guimarães:
Measuring Hierarchiness of Image Segmentations. SIBGRAPI 2024: 1-6 - 2023
- [j15]Felipe de Castro Belém, Isabela Borlido Barcelos, Leonardo de Melo Joao
Novel Arc-Cost Functions and Seed Relevance Estimations for Compact and Accurate Superpixels. J. Math. Imaging Vis. 65(5): 770-786 (2023) - [c32]Quentin Lebon
Interactive Segmentation with Incremental Watershed Cuts. CIARP 2023: 189-200 - [c31]Raphael Lapertot
Supervised Learning of Hierarchical Image Segmentation. CIARP 2023: 201-213 - [e2]Bertrand Kerautret
Reproducible Research in Pattern Recognition - Fourth International Workshop, RRPR 2022, Montreal, Canada, August 21, 2022, Revised Selected Papers. Lecture Notes in Computer Science 14068, Springer 2023, ISBN 978-3-031-40772-7 [contents] - 2022
- [c30]Benjamin Perret
Component Tree Loss Function: Definition and Optimization. DGMM 2022: 248-260 - [c29]Felipe Belém
Fast and Effective Superpixel Segmentation Using Accurate Saliency Estimation. DGMM 2022: 261-273 - [c28]Josselin Lefèvre
Join, Select, and Insert: Efficient Out-of-core Algorithms for Hierarchical Segmentation Trees. DGMM 2022: 274-286 - [c27]Miguel Colom
Development Efforts for Reproducible Research: Platform, Library and Editorial Investment. RRPR 2022: 3-21 - [i4]Felipe Belém, Benjamin Perret, Jean Cousty, Silvio Jamil Ferzoli Guimarães, Alexandre X. Falcão:
Efficient Multiscale Object-based Superpixel Framework. CoRR abs/2204.03533 (2022) - [i3]Josselin Lefèvre, Jean Cousty, Benjamin Perret, Harold Phelippeau:
Join, select, and insert: efficient out-of-core algorithms for hierarchical segmentation trees. CoRR abs/2210.02218 (2022) - 2021
- [b2]Benjamin Perret:
Hierarchical image analysis: theory, algorithms, and applications. University of Paris-Est, France, 2021 - [j14]Thanh Xuan Nguyen
Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images. IEEE Access 9: 156482-156491 (2021) - [j13]Fraser Macfarlane
Robust Object Detection in Colour Images Using a Multivariate Percentage Occupancy Hit-or-Miss Transform. Math. Morphol. Theory Appl. 5(1): 128-152 (2021) - [c26]Jean Cousty, Benjamin Perret, Harold Phelippeau, Stela Carneiro, Pierre Kamlay, Lilian Buzer:
An Algebraic Framework for Out-of-Core Hierarchical Segmentation Algorithms. DGMM 2021: 378-390 - [c25]Gabriel Barbosa da Fonseca, Benjamin Perret, Romain Negrel, Jean Cousty, Silvio Jamil Ferzoli Guimarães:
Fuzzy-Marker-Based Segmentation Using Hierarchies. DGMM 2021: 391-403 - [c24]Felipe de Castro Belém, Benjamin Perret, Jean Cousty, Silvio Jamil Ferzoli Guimarães, Alexandre X. Falcão:
Towards a Simple and Efficient Object-based Superpixel Delineation Framework. SIBGRAPI 2021: 346-353 - [c23]Gabriel Barbosa da Fonseca, Romain Negrel, Benjamin Perret, Jean Cousty, Silvio Jamil Ferzoli Guimarães:
New hierarchy-based segmentation layer: towards automatic marker proposal. SIBGRAPI 2021: 354-361 - [i2]Benjamin Perret, Jean Cousty:
Component Tree Loss Function: Definition and Optimization. CoRR abs/2101.08063 (2021) - 2020
- [j12]Deise Santana Maia
Characterization of Graph-Based Hierarchical Watersheds: Theory and Algorithms. J. Math. Imaging Vis. 62(5): 627-658 (2020) - [j11]Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel, Benjamin Perret:
Editorial - Special Issue: ISMM 2019. Math. Morphol. Theory Appl. 4(1): 159-161 (2020) - [c22]Thanh Xuan Nguyen, Giovanni Chierchia, Laurent Najman
CGO: Multiband Astronomical Source Detection With Component-Graphs. ICIP 2020: 16-20
2010 – 2019
- 2019
- [j10]Benjamin Perret
Removing non-significant regions in hierarchical clustering and segmentation. Pattern Recognit. Lett. 128: 433-439 (2019) - [j9]Deise Santana Maia
Properties of combinations of hierarchical watersheds. Pattern Recognit. Lett. 128: 513-520 (2019) - [j8]Benjamin Perret, Giovanni Chierchia, Jean Cousty, Silvio Jamil Ferzoli Guimarães, Yukiko Kenmochi, Laurent Najman
Higra: Hierarchical Graph Analysis. SoftwareX 10: 100335 (2019) - [c21]Deise Santana Maia
Recognizing Hierarchical Watersheds. DGCI 2019: 300-313 - [c20]Carolina Stephanie Jerônimo de Almeida
Label Propagation Guided by Hierarchy of Partitions for Superpixel Computation. ICIAP (2) 2019: 3-13 - [c19]Deise Santana Maia
Watersheding Hierarchies. ISMM 2019: 124-136 - [c18]Deise Santana Maia
On the Probabilities of Hierarchical Watersheds. ISMM 2019: 137-149 - [c17]Julie Robic, Benjamin Perret, Alex Nkengne
Self-dual Pattern Spectra for Characterising the Dermal-Epidermal Junction in 3D Reflectance Confocal Microscopy Imaging. ISMM 2019: 508-519 - [c16]Giovanni Chierchia, Benjamin Perret:
Ultrametric Fitting by Gradient Descent. NeurIPS 2019: 3175-3186 - [c15]Isabela Borlido Barcelos, Gabriel Barbosa da Fonseca, Laurent Najman
Exploring Hierarchy Simplification for Non-Significant Region Removal. SIBGRAPI 2019: 100-107 - [e1]Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel, Nicolas Passat, Benjamin Perret:
Mathematical Morphology and Its Applications to Signal and Image Processing - 14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings. Lecture Notes in Computer Science 11564, Springer 2019, ISBN 978-3-030-20866-0 [contents] - [i1]Giovanni Chierchia, Benjamin Perret:
Ultrametric Fitting by Gradient Descent. CoRR abs/1905.10566 (2019) - 2018
- [j7]Benjamin Perret
Evaluation of Hierarchical Watersheds. IEEE Trans. Image Process. 27(4): 1676-1688 (2018) - [c14]Karla Otiniano-Rodríguez, Arnaldo de Albuquerque Araújo, Guillermo Cámara Chávez
Hierarchy-Based Salient Regions: A Region Detector Based on Hierarchies of Partitions. CIARP 2018: 444-452 - [c13]Fraser Macfarlane
A Colour Hit-or-Miss Transform Based on a Rank Ordered Distance Measure. EUSIPCO 2018: 588-592 - [c12]Filipe Tório L. R. Nhimi, Zenilton K. G. Patrocínio Jr.
Evaluation of morphological hierarchies for supervised video segmentation. SAC 2018: 252-259 - 2017
- [c11]Julie Robic, Benjamin Perret, Alex Nkengne
Classification of the dermal-epidermal junction using in-vivo confocal microscopy. ISBI 2017: 252-255 - [c10]Deise Santana Maia
Evaluation of Combinations of Watershed Hierarchies. ISMM 2017: 133-145 - 2016
- [c9]Julie Robic, Alex Nkengne
Automated quantification of the epidermal aging process using in-vivo confocal microscopy. ISBI 2016: 1221-1224 - 2015
- [j6]Benjamin Perret
Connected image processing with multivariate attributes: An unsupervised Markovian classification approach. Comput. Vis. Image Underst. 133: 1-14 (2015) - [j5]Benjamin Perret
Inf-structuring Functions: A Unifying Theory of Connections and Connected Operators. J. Math. Imaging Vis. 51(1): 171-194 (2015) - [j4]Benjamin Perret
Directed Connected Operators: Asymmetric Hierarchies for Image Filtering and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1162-1176 (2015) - [c8]Benjamin Perret, Jean Cousty, Jean Carlo Rivera Ura, Silvio Jamil Ferzoli Guimarães:
Evaluation of Morphological Hierarchies for Supervised Segmentation. ISMM 2015: 39-50 - 2013
- [c7]Jean Cousty, Laurent Najman
Constructive Links between Some Morphological Hierarchies on Edge-Weighted Graphs. ISMM 2013: 86-97 - [c6]Laurent Najman
Playing with Kruskal: Algorithms for Morphological Trees in Edge-Weighted Graphs. ISMM 2013: 135-146 - [c5]Benjamin Perret:
Inf-structuring Functions and Self-dual Marked Flattenings in bi-Heyting Algebra. ISMM 2013: 365-376 - 2012
- [j3]Benjamin Perret
Hyperconnections and Hierarchical Representations for Grayscale and Multiband Image Processing. IEEE Trans. Image Process. 21(1): 14-27 (2012) - 2011
- [j2]Benjamin Perret
Hierarchical multispectral galaxy decomposition using a MCMC algorithm with multiple temperature simulated annealing. Pattern Recognit. 44(6): 1328-1342 (2011) - [c4]Benjamin Perret, Sébastien Lefèvre
Toward a New Axiomatic for Hyper-Connections. ISMM 2011: 85-95 - 2010
- [b1]Benjamin Perret:
Caractérisation multibande de galaxies par hiérarchie de modèles et arbres de composantes connexes. (Multispectral galaxy characterization with a hierarchy of model and connected component trees). University of Strasbourg, France, 2010 - [c3]Benjamin Perret, Sébastien Lefèvre
Connected Component Trees for Multivariate Image Processing and Applications in Astronomy. ICPR 2010: 4089-4092
2000 – 2009
- 2009
- [j1]Benjamin Perret
A robust hit-or-miss transform for template matching applied to very noisy astronomical images. Pattern Recognit. 42(11): 2470-2480 (2009) - [c2]Benjamin Perret, Vincent Mazet, Christophe Collet, Éric Slezak:
Galaxy Decomposition in Multispectral Images Using Markov Chain Monte Carlo Algorithms. SCIA 2009: 209-218 - 2008
- [c1]Benjamin Perret, Sébastien Lefèvre, Christophe Collet, Bernd Vollmer:
Astronomical object detection with a robust hit-or-miss transform. EUSIPCO 2008: 1-5
Coauthor Index
aka: Zenilton K. G. do Patrocínio
aka: Zenilton K. G. Patrocínio Jr.
aka: Zenilton Patrocínio
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