Santiago Velasco-Forero
Présentation
Publications
Publications
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Approximating Condorcet Ordering for Vector-Valued Mathematical Morphology4th International Conference on Discrete Geometry and Mathematical Morphology (DGMM 2025), Nov 2025, Groningen, Netherlands. pp.443-457, ⟨10.1007/978-3-032-09544-2_32⟩ |
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Learning Morphological Representations of Image Transformations: Influence of Initialization and Layer DifferentiabilityDiscrete Geometry and Mathematical Morphology 4th International Joint Conference, DGMM 2025, Nov 2025, Groningen, Netherlands. pp.371--383, ⟨10.1007/978-3-032-09544-2_27⟩ |
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MFN Decomposition and Related Metrics for High-Resolution Range Profiles Generative Models2025 IEEE Radar Conference (RadarConf25), Oct 2025, Krakow, Poland. pp.1-6, ⟨10.1109/RadarConf2559087.2025.11204884⟩ |
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MorphoSkel3D: Morphological Skeletonization of 3D Point Clouds for Informed Sampling in Object Classification and Retrieval2025 International Conference on 3D Vision (3DV), Mar 2025, Singapore, Singapore. pp.1350-1359, ⟨10.1109/3DV66043.2025.00128⟩ |
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Aerosol characterization on noisy surfaces by deep-learning methodsEAC2024 - The European Aerosol Conference, Aug 2024, Tampere, Finland |
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Choquet Capacity networks for random point process classificationInternational Conference on Continuum Models and Discrete Systems, Jun 2023, Paris, France. pp.229-241, ⟨10.1007/978-3-031-58665-1_18⟩ |
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Spatial Reasoning Loss for Weakly Supervised Segmentation of Skin Histological Images21st IEEE International Symposium on Biomedical Imaging, The IEEE Signal Processing Society and the IEEE Engineering in Medicine and Biology Society, May 2024, Athens, Greece |
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Deep Matrix Profile for Maneuver Classification in Low Earth Orbit Satellite TrajectoriesEuropean Signal Processing Conference, 2024, IEEE, Aug 2024, Lyon, France |
L'IA pour l'analyse des aérosols radioactifsCongrès Français sur les Aérosols (CFA 2024), ASFERA – Association Française d’Études et de Recherches sur les Aérosols, Mar 2024, Paris, France. ⟨10.25576/ASFERA-CFA2024-38916⟩ |
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Counting melanocytes with trainable h-maxima and connected component layersThird International Conference on Discrete Geometry and Mathematical Morphology, IAPR, Apr 2024, Florence, Italy |
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Roto-translation Equivariant YOLO for Aerial ImagesNeurIPS workshop on Symmetry and Geometry in Neural Representations, Dec 2023, New-Orleans, Louisiana, United States |
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Rotation-invariant Hierarchical Segmentation on Poincaré Ball for 3D Point Cloud2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct 2023, Paris, France. pp.1757-1766, ⟨10.1109/ICCVW60793.2023.00192⟩ |
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GenHarris-ResNet: A Rotation Invariant Neural Network Based on Elementary Symmetric PolynomialsScale Space and Variational Methods in Computer Vision, May 2023, Santa Margherita di Pula, Italy. pp.149-161, ⟨10.1007/978-3-031-31975-4_12⟩ |
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Moving Frame Net: SE(3)-Equivariant Network for VolumesNeurIPS Workshop on Symmetry and Geometry in Neural Representations (NeurReps), Dec 2022, New Orleans, United States |
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FULLY TRAINABLE GAUSSIAN DERIVATIVE CONVOLUTIONAL LAYER29th IEEE International Conference on Image Processing (IEEE ICIP), Oct 2022, Bordeaux, France |
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DIFFERENTIAL INVARIANTS FOR SE(2)-EQUIVARIANT NETWORKS29th IEEE International Conference on Image Processing (IEEE ICIP), Oct 2022, Bordeaux, France |
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Morphological adjunctions represented by matrices in max-plus algebra for signal and image processingDGMM 2022, IAPR Second International Conference on Discrete Geometry and Mathematical Morphology, Oct 2022, Strasbourg, France |
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DARTBOARD BASED GROUND DETECTION ON 3D POINT CLOUDXXIV ISPRS Congress, Jun 2022, Nice, France. pp.185-192 |
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MorphoActivation: Generalizing ReLU activation function by mathematical morphologyInternational Conference on Discrete Geometry and Mathematical Morphology, Oct 2022, Strasbourg, France |
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Fixed Point Layers for Geodesic Morphological OperationsBritish Machine Vision Conference, Nov 2022, London, United Kingdom |
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Scale Equivariant U-Net33rd British Machine Vision Conference, Nov 2022, Londres, United Kingdom |
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End-to-End Similarity Learning and Hierarchical Clustering for unfixed size datasets5th conference on Geometric Science of Information, Jul 2021, Paris, France |
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NNAKF: A NEURAL NETWORK ADAPTED KALMAN FILTER FOR TARGET TRACKINGICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, France. pp.4075-4079, ⟨10.1109/ICASSP39728.2021.9414681⟩ |
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Mathematical morphology meets Deep Learning13th European Congress for Stereology and Image Analysis (ECSIA), Jun 2021, Saint-Étienne, France |
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On power Jaccard losses for semantic segmentationVISAPP 2021 : 16th International Conference on Computer Vision Theory and Applications, Feb 2021, Vienne (on line), Austria |
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Scale Equivariant Neural Networks with Morphological Scale-SpacesIAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2021, May 2021, Uppsala, Sweden |
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Measuring the Irregularity of Vector-Valued Morphological Operators using Wasserstein MetricIAPR International Conference on Discrete Geometry and Mathematical Morphology, May 2021, Uppsala (virtual event), Sweden |
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From unsupervised to semi-supervised anomaly detection methods for HRRP targets2020 IEEE Radar Conference (RadarConf20), Università di Pisa, Sep 2020, Florence, Italy. pp.1-6, ⟨10.1109/RadarConf2043947.2020.9266497⟩ |
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Road Segmentation on low resolution Lidar point clouds for autonomous vehiclesXXIV International Society for Photogrammetry and Remote Sensing Congress, Aug 2020, Nice, France |
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Max-plus Operators Applied to Filter Selection and Model Pruning in Neural NetworksInternational Symposium on Mathematical Morphology, Jul 2019, Saarbrücken, Germany |
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Part-based approximations for morphological operators using asymmetric auto-encodersInternational Symposium on Mathematical Morphology, Jul 2019, Saarbrücken, Germany |
On approximating mathematical morphology operators via deep learning techniques15th International Congress for Stereology and Image Analysis, 2019, Aarhus, Denmark. pp.51 |
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A new color augmentation method for deep learning segmentation of histological images2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), Apr 2019, Venise, France |
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A graph-based color lines model for image analysisInternational Conference on Image Analysis and Processing, Sep 2019, Trento, Italy. ⟨10.1007/978-3-030-30645-8_17⟩ |
Pruning neural networks thanks to morphological layers15th International Congress for Stereology and Image Analysis, 2019, Aarhus, Denmark. pp.17 |
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SHREC'18 track: Recognition of geometric patterns over 3D modelsEurographics Workshop on 3D Object Retrieval (3DOR 2018), The Eurographics Association, Apr 2018, Delft, Netherlands. ⟨10.2312/3dor.20181055⟩ |
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ON MINIMUM SPANNING TREE STREAMING FOR IMAGE ANALYSIS25th IEEE International Conference on Image Processing (ICIP 2018), IEEE, Oct 2018, Athènes, Greece. ⟨10.1109/ICIP.2018.8451715⟩ |
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TROPICAL AND MORPHOLOGICAL OPERATORS FOR SIGNALS ON GRAPHS2018 25th IEEE International Conference on Image Processing (ICIP), Oct 2018, Athens, Greece. ⟨10.1109/ICIP.2018.8451395⟩ |
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Characterizing Images by the Gromov-Hausdorff Distances Between Derived HierarchiesInternational Conference on Image Processing (ICIP), Oct 2018, Athens, Greece |
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Dealing with Topological Information within a Fully Convolutional Neural NetworkAdvanced Concepts for Intelligent Vision Systems (ACIVS), Sep 2018, Poitiers, France |
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Segmentation hiérarchique faiblement supervisée26e colloque GRETSI, Sep 2017, Juan-les-Pins, France |
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Morphological Semigroups and Scale-Spaces on Ultrametric Spaces13th International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, May 2017, Fontainebleau, France. pp.28-39, ⟨10.1007/978-3-319-57240-6_3⟩ |
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SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys10th Eurographics workshop on 3D Object retrieval, Apr 2017, Lyon, France. pp.1 - 11 |
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Shrec'17 Track: Retrieval of surfaces with similar relief patterns10th Eurographics Workshop on 3D Object Retrieval, Apr 2017, Lyon, France |
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Prior-based Hierarchical Segmentation Highlighting Structures of InterestInternational Symposium on Mathematical Morphology, May 2017, Fontainebleau, France |
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Shrec'16 Track: Retrieval of Human Subjects from Depth Sensor DataEurographics Workshop on 3D Object Retrieval, Eurographics, May 2016, Lisbon, Portugal. pp.1-6 |
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Automatic Selection of Stochastic Watershed HierarchiesEuropean Conference of Signal Processing (EUSIPCO), 2016, Budapest, Hungary |
A Bayesian Approach to Linear Unmixing in the Presence of Highly Mixed SpectraAdvanced Concepts for Intelligent Vision Systems: 17th International Conference, ACIVS 2016, Oct 2016, Leecy, Italy. pp.263--274, ⟨10.1007/978-3-319-48680-2_24⟩ |
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Deep learning for studies of galaxy morphologyIAU Symposium 325 on Astroinformatics, Oct 2016, Sorrente, Italy. pp.191 - 196, ⟨10.1017/S1743921317000552⟩ |
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Nonlinear operators on graphs via stacksGeometric Science of Information, Oct 2015, Palaiseau, France. pp.654-663, ⟨10.1007/978-3-319-25040-3_70⟩ |
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Inner-Cheeger Opening and ApplicationsMathematical Morphology and Its Applications to Signal and Image Processing, May 2015, Reykjavik, Iceland. ⟨10.1007/978-3-319-18720-4_7⟩ |
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Objects co-segmentation: Propagated from simpler imagesAcoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, Apr 2015, South Brisbane, Australia. ⟨10.1109/ICASSP.2015.7178257⟩ |
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Robust anomaly detection in hyperspectral imagingIGARSS 2014 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2014, Québec, Canada. ⟨10.1109/IGARSS.2014.6947518⟩ |
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On Nonlocal Mathematical Morphology11th International Symposium, ISMM 2013, May 2013, Uppsala, Sweden. pp.219-230, ⟨10.1007/978-3-642-38294-9_19⟩ |
Mathematical Morphology for Real-Valued Images on Riemannian Manifolds11th International Symposium, ISMM 2013, May 2013, Uppsala, Sweden. pp.279-291, ⟨10.1007/978-3-642-38294-9_24⟩ |
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Stochastic Morphological Filtering and Bellman-Maslov Chains11th International Symposium, ISMM 2013, May 2013, Uppsala, Sweden. pp.171-182, ⟨10.1007/978-3-642-38294-9_15⟩ |
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Mathematical morphology for vector images using statistical depth10th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing, ISMM 2011, Jul 2011, Verbania-Intra, Italy. pp.355-366, ⟨10.1007/978-3-642-21569-8_31⟩ |
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Geodesic Depth For Description, Retrieval Of 2D/3D Shapes13th International Congress of Stereology (ICS-13), Oct 2011, Pekin, China |
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Sparse mathematical morphology using non-negative matrix factorization10th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing, ISMM 2011, Jul 2011, Verbania-Intra, Italy. pp.1-12, ⟨10.1007/978-3-642-21569-8_1⟩ |
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MORPHOLOGICAL SNOWFLAKES FOR ROBUST NONLINEAR FILTERINGICS, Oct 2011, China |
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Hit-or-miss transform in multivariate images12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010, Dec 2010, Sydney, Australia. pp.452-463, ⟨10.1007/978-3-642-17688-3_42⟩ |
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Spatial Structures Detection In Hyperspectral Images Using Mathematical MorphologyIEEE 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'2010), Jun 2010, Reykjavik, Iceland. pp.1-4 |
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Parameters Selection Of Morphological Scale-Space Decomposition For Hyperspectral Images Using Tensor ModelingAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, May 2010, Orlando, United States. 12 p., ⟨10.1117/12.850171⟩ |
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Semi-Supervised Hyperspectral Image Segmentation Using Regionalized Stochastic WatershedAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, May 2010, Orlando, United States. 12 p., ⟨10.1117/12.850187⟩ |
Morphological Processing of Hyperspectral Images Using Kriging-Based Supervised Ordering17th IEEE International Conference on Image Processing (ICIP), Sep 2010, Hong-Kong, Hong Kong SAR China. pp.1409-1412, ⟨10.1109/ICIP.2010.5651305⟩ |
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Statistical Shape Modeling Using Morphological Representations20th International Conference on Pattern Recognition (ICPR), Aug 2010, Istanbul, Turkey. pp.3537-3540, ⟨10.1109/ICPR.2010.863⟩ |
Structurally adaptive mathematical morphology on nonlinear scale-space representations17th IEEE International Conference on Image Processing (ICIP), Sep 2010, Hong-Kong, Hong Kong SAR China. pp.121-124, ⟨10.1109/ICIP.2010.5651969⟩ |
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Morphological image distances for hyperspectral dimensionality exploration using Kernel-PCA and ISOMAPIGARSS 2009 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2009, Le Cap, South Africa. pp.III-109 - III-112, ⟨10.1109/IGARSS.2009.5418063⟩ |
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Multiscale stochastic watershed for unsupervised hyperspectral image segmentationIGARSS 2009 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2009, Le Cap, South Africa. pp.93-96, ⟨10.1109/IGARSS.2009.5418095⟩ |
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Morphological scale-space for hyperspectral images and dimensionality exploration using tensor modelingHyperspectral Image and Signal Processing: Evolution in Remote Sensing:, Aug 2009, Grenoble, France. pp.1 - 4, ⟨10.1109/WHISPERS.2009.5289059⟩ |
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Can Generalised Divergences Help for Invariant Neural Networks?Geometric Science of Information, 14071, Springer Nature Switzerland, pp.82-90, 2023, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-38271-0_9⟩ |
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Morphological processing of univariate Gaussian distribution-valued images based on Poincaré upper-half plane representationFrank Nielsen. Geometric Theory of Information, Springer International Publishing, pp.331-366, 2014, Signals and Communication Technology, 978-3-319-05316-5. ⟨10.1007/978-3-319-05317-2_12⟩ |
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Vector ordering and multispectral morphological image processingVector Ordering and Multispectral Morphological Image Processing, 11, pp.223-239, 2014, Advances in Low-Level Color Image Processing, ⟨10.1007/978-94-007-7584-8_7⟩ |
PROCEDE DE RECONSTITUTION AUTOMATIQUE DE L’ARCHITECTURE DU RENFORT D’UN MATERIAU COMPOSITEFrance, N° de brevet: FR3104301B1. 2021 |
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Topics in mathematical morphology for multivariate imagesGeneral Mathematics [math.GM]. Ecole Nationale Supérieure des Mines de Paris, 2012. English. ⟨NNT : 2012ENMP0086⟩ |
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Contributions to Mathematical MorphologySignal and Image processing. Institut Polytechnique de Paris, 2022 |