Benjamin Perret
- Laboratoire d'Informatique Gaspard-Monge (LIGM)
- Université Gustave Eiffel
- ESIEE Paris
Publications
Publications
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Out-of-core Attribute Algorithms for Binary Partition HierarchiesDiscrete Geometry and Mathematical Morphology, Apr 2024, Florence, Italy. pp.298-311, ⟨10.1007/978-3-031-57793-2_23⟩ |
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Measuring Hierarchiness of Image Segmentations37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI 2024), Sep 2024, Manaus, Brazil. ⟨10.1109/SIBGRAPI62404.2024.10716344⟩ |
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End-to-end Ultrametric Learning for Hierarchical SegmentationDiscrete Geometry and Mathematical Morphology, 2024, Florence, Italy. pp.286-297, ⟨10.1007/978-3-031-57793-2_22⟩ |
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Interactive Segmentation With Incremental Watershed CutsIberoamerican Congress on Pattern Recognition (CIARP), Inês Domingues; Verónica Vasconcelos, Nov 2023, Coimbra, Portugal. pp.189-200, ⟨10.1007/978-3-031-49018-7_14⟩ |
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Development Efforts for Reproducible Research: Platform, Library and Editorial InvestmentRRPR 2022: Reproducible Research in Pattern Recognition, Aug 2022, Montréal, Canada. pp.3-21, ⟨10.1007/978-3-031-40773-4_1⟩ |
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Supervised Learning of Hierarchical Image Segmentation26th Iberoamerican Congress on Pattern Recognition (CIARP), Instituto Superior de Educação e Ciências (ISEC), Nov 2023, Coimbra (Portugal), Portugal. pp.201-213, ⟨10.1007/978-3-031-49018-7_15⟩ |
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Component Tree Loss Function: Definition and OptimizationDGMM 2022: Discrete Geometry and Mathematical Morphology, 2022, Strasbourg, France. pp.248--260, ⟨10.1007/978-3-031-19897-7_20⟩ |
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Fast and Effective Superpixel Segmentation using Accurate Saliency EstimationDGMM 2022: Discrete Geometry and Mathematical Morphology, Oct 2022, Strasbourg, France. pp.261-273, ⟨10.1007/978-3-031-19897-7_21⟩ |
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Join, Select, and Insert: Efficient Out-of-core Algorithms for Hierarchical Segmentation TreesIAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM), Oct 2022, Strasbourg, France. pp.274-286, ⟨10.1007/978-3-031-19897-7_22⟩ |
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Towards a Simple and Efficient Object-based Superpixel Delineation Framework2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), Oct 2021, Gramado, Brazil. pp.346-353, ⟨10.1109/SIBGRAPI54419.2021.00054⟩ |
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An algebraic framework for out-of-core hierarchical segmentation algorithmsIAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM), May 2021, Uppsala(virtual), Sweden. ⟨10.1007/978-3-030-76657-3_27⟩ |
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Fuzzy-marker-based segmentation using hierarchiesInternational Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2021, Uppsala, Sweden |
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New hierarchy-based segmentation layer: towards automatic marker proposalSIBGRAPI – Conference on Graphics, Patterns and Images, Oct 2021, Gramado (virtual), Brazil. ⟨10.1109/sibgrapi54419.2021.00055⟩ |
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CGO: Multiband Astronomical Source Detection With Component-GraphsICIP 2020 - IEEE International Conference on Image Processing, Oct 2020, Abu Dhabi, United Arab Emirates. pp.16-20, ⟨10.1109/ICIP40778.2020.9191276⟩ |
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Watersheding hierarchiesInternational Symposium on Mathematical Morphology, Jul 2019, Saarbrücken, Germany. ⟨10.1007/978-3-030-20867-7_10⟩ |
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Self-dual pattern spectra for characterising the dermal-epidermal junction in 3D reflectance confocal microscopy imagingISMM 2019 - International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, Jul 2019, Saarbrücken, Germany. pp.508-519, ⟨10.1007/978-3-030-20867-7_39⟩ |
Label Propagation Guided by Hierarchy of Partitions for Superpixel ComputationImage Analysis and Processing, 2019, Trento, Italy. pp.3-13, ⟨10.1007/978-3-030-30645-8_1⟩ |
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Ultrametric Fitting by Gradient DescentAdvances in Neural Information Processing Systems 32, Dec 2019, Vancouver, Canada |
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Recognizing hierarchical watershedsDGCI2019, Mar 2019, Noisy-le-grand, France. pp.300-313, ⟨10.1007/978-3-030-14085-4_24⟩ |
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Exploring Hierarchy Simplification for Non-Significant Region Removal2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), Oct 2019, Rio de Janeiro, Brazil. pp.100-107, ⟨10.1109/SIBGRAPI.2019.00022⟩ |
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On the probabilities of hierarchical watershedsInternational Symposium on Mathematical Morphology, Jul 2019, Saarbrücken, Germany. ⟨10.1007/978-3-030-20867-7_11⟩ |
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A Colour Hit-or-Miss Transform Based on a Rank Ordered Distance Measure2018 26th European Signal Processing Conference (EUSIPCO), Sep 2018, Rome, Italy. pp.588-592, ⟨10.23919/EUSIPCO.2018.8553050⟩ |
Evaluation of morphological hierarchies for supervised video segmentationthe 33rd Annual ACM Symposium on Applied Computing, Apr 2018, Pau, France. ⟨10.1145/3167132.3167154⟩ |
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Evaluation of combinations of watershed hierarchiesvvISMM 2017, May 2017, Fontainebleau, France. pp.133-145, ⟨10.1007/978-3-319-57240-6_11⟩ |
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Classification of the dermal-epidermal junction using in-vivo confocal microscopyInternational Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia. pp.252-255, ⟨10.1109/ISBI.2017.7950513⟩ |
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Automated quantification of the epidermal aging process using in-vivo confocal microscopyInternational Symposium on Biomedical Imaging, Apr 2016, Prague, Czech Republic. ⟨10.1109/ISBI.2016.7493486⟩ |
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Evaluation of morphological hierarchies for supervised segmentation12th International Symposium on Mathematical Morphology, May 2015, Reykjavik, Iceland. pp.39-50, ⟨10.1007/978-3-319-18720-4_4⟩ |
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Constructive links between some morphological hierarchies on edge-weighted graphsInternational Symposium on Mathematical Morphology, May 2013, Uppsala, Sweden. pp.85-96 |
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Inf-structuring functions and self-dual marked flattenings in bi-Heyting algebraISMM 2013, May 2013, Uppsala, Sweden. pp.365-376, ⟨10.1007/978-3-642-38294-9_31⟩ |
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Playing with Kruskal: algorithms for morphological trees in edge-weighted graphsInternational Symposium on Mathematical Morphology, May 2013, Uppsala, Sweden. pp.135-146 |
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Toward a new axiomatic for hyper-connectionsInternational Symposium on Mathematical Morphology (ISMM), 2011, Intra, Italy. pp.85-95 |
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From hyperconnections to hypercomponent tree: Application to document image binarizationWorkshop on Applications of Digital Geometry and Mathematical Morphology (WADGMM), 2010, Istanbul, Turkey. paper #5 |
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Connected component trees for multivariate image processing applications in astronomy20th IAPR International Conference on Pattern Recognition (ICPR), 2010, Istanbul, Turkey. pp.4089-4092 |
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Galaxy Decomposition in Multispectral Images Using Markov Chain Monte Carlo AlgorithmsScandinavian Conference on Image Analysis, Jun 2009, Oslo, Norway. pp.209-218, ⟨10.1007/978-3-642-02230-2_22⟩ |
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Astronomical Object Detection with a Robust Hit-or-Miss Transform16th EURASIP European Signal Processing Conference (EUSIPCO), 2008, Switzerland |
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Mathematical Morphology and Its Applications to Signal and Image ProcessingSpringer Nature Switzerland AG, 11564, 2019, Lecture Notes in Computer Science, 978-3-030-20866-0. ⟨10.1007/978-3-030-20867-7⟩ |
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Hierarchy-Based Salient Regions: A Region Detector Based on Hierarchies of PartitionsCIARP 2018: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, , pp.444-452, 2019, ⟨10.1007/978-3-030-13469-3_52⟩ |
Morphological Template Matching in Color ImagesAdvances in Low-Level Color Image Processing, 11, Springer Netherlands, pp.241-277, 2014, Lecture Notes in Computational Vision and Biomechanics, 978-94-007-7583-1. ⟨10.1007/978-94-007-7584-8_8⟩ |
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Panoramic Integral-Field Spectrograph: Ultraspectral Data to Understand the History of the UniverseChristophe Collet; Jocelyn Chanussot; Kacem Chehdi. Digital Signal and Image Processing Series, ISTE Ltd and John Wiley & Sons Inc, pp.437-450, 2009, Multivariate Image Processing, 978-1848211391 |
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Playing with Kruskal: algorithms for flat and hierarchical watershed cuts2025 |
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Hierarchy-based fuzzy segmentation and marker learning layer: theory and algorithms2025 |
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Improving imbalanced predictions via a novel watershed-based oversampling method: Application to sickle cell disease2023 |
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Proofs of the properties presented in the article "Watersheding hierarchies[Research Report] Université Paris-Est, LIGM UMR CNRS 8049, France; ESIEE Paris. 2019 |
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Hierarchical image analysis: theory, algorithms, and applicationsImage Processing [eess.IV]. Université Paris-Est, 2021 |
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Caractérisation multibande de galaxies par hiérarchie de modèles et arbres de composantes connexesTraitement du signal et de l'image [eess.SP]. Université de Strasbourg, 2010. Français. ⟨NNT : ⟩ |