Improving Hyperspectral Image Classification based on Graphs using Spatial Preprocessing. - Santiago Velasco-Forero; Vidya B. Manian (IGARSS (3), 2008)

Multiscale Stochastic Watershed for Unsupervised Hyperspectral Image Segmentation. - Jesús Angulo; Santiago Velasco-Forero; Jocelyn Chanussot (IGARSS (3), 2009)

Morphological Image Distances for Hyperspectral Dimensionality Exploration using Kernel-PCA and ISOMAP. - Santiago Velasco-Forero; Jesús Angulo; Jocelyn Chanussot (IGARSS (3), 2009)

Morphological scale-space for hyperspectral images and dimensionality exploration using tensor modeling. - Santiago Velasco-Forero; Jesús Angulo (WHISPERS, 2009)

Improving Hyperspectral Image Classification Using Spatial Preprocessing. - Santiago Velasco-Forero; Vidya B. Manian (IEEE Geosci. Remote. Sens. Lett., 2009)

Hit-or-Miss Transform in Multivariate Images. - Santiago Velasco-Forero; Jesús Angulo (ACIVS (1), 2010)

Structurally adaptive mathematical morphology on nonlinear scale-space representations. - Jesús Angulo; Santiago Velasco-Forero (ICIP, 2010)

Morphological processing of hyperspectral images using kriging-based supervised ordering. - Santiago Velasco-Forero; Jesús Angulo (ICIP, 2010)

Statistical Shape Modeling Using Morphological Representations. - Santiago Velasco-Forero; Jesús Angulo (ICPR, 2010)

Spatial structures detection in hyperspectral images using mathematical morphology. - Santiago Velasco-Forero; Jesús Angulo (WHISPERS, 2010)

Sparse Mathematical Morphology Using Non-negative Matrix Factorization. - Jesús Angulo; Santiago Velasco-Forero (ISMM, 2011)

Mathematical Morphology for Vector Images Using Statistical Depth. - Santiago Velasco-Forero; Jesús Angulo (ISMM, 2011)

Multiclass ordering for filtering and classification of hyperspectral images. - Santiago Velasco-Forero; Jesús Angulo (WHISPERS, 2011)

Supervised Ordering in Rp: Application to Morphological Processing of Hyperspectral Images. - Santiago Velasco-Forero; Jesús Angulo (IEEE Trans. Image Process., 2011)

Edge extraction by statistical dependence analysis: application to multi-angular WorldView-2 series. - Lionel Gueguen; Santiago Velasco-Forero; Pierre Soille (IGARSS, 2012)

Robust RX anomaly detector without covariance matrix estimation. - Santiago Velasco-Forero; Jesús Angulo (WHISPERS, 2012)

Random Projection Depth for Multivariate Mathematical Morphology. - Santiago Velasco-Forero; Jesús Angulo (IEEE J. Sel. Top. Signal Process., 2012)

SHREC'13 Track: Retrieval on Textured 3D Models. - Andrea Cerri; Silvia Biasotti; Mostafa Abdelrahman; Jesús Angulo; K. Berger; Louis Chevallier; Moumen T. El-Melegy; Aly A. Farag; F. Lefebvre; Andrea Giachetti 001; H. Guermoud; Yong-Jin Liu; et al. (3DOR@Eurographics, 2013)

Complete Lattice Structure of Poincaré Upper-Half Plane and Mathematical Morphology for Hyperbolic-Valued Images. - Jesús Angulo; Santiago Velasco-Forero (GSI, 2013)

Supervised Morphology for Structure Tensor-Valued Images Based on Symmetric Divergence Kernels. - Santiago Velasco-Forero; Jesús Angulo (GSI, 2013)

Stochastic Morphological Filtering and Bellman-Maslov Chains. - Jesús Angulo; Santiago Velasco-Forero (ISMM, 2013)

Mathematical Morphology for Real-Valued Images on Riemannian Manifolds. - Jesús Angulo; Santiago Velasco-Forero (ISMM, 2013)

On Nonlocal Mathematical Morphology. - Santiago Velasco-Forero; Jesús Angulo (ISMM, 2013)

Multivariate diffusion tensor and induced segmentation. - Santiago Velasco-Forero; Maider Marin-McGee; Miguel Velez-Reyes (WHISPERS, 2013)

Classification of hyperspectral images by tensor modeling and additive morphological decomposition. - Santiago Velasco-Forero; Jesús Angulo (Pattern Recognit., 2013)

Retrieval and Classification on Textured 3D Models. - Silvia Biasotti; Andrea Cerri; Mostafa Abdelrahman; Masaki Aono; Abdessamad Ben Hamza; Moumen T. El-Melegy; Aly A. Farag; Valeria Garro; Andrea Giachetti 001; Daniela Giorgi; Afzal Godil; C. Li; et al. (3DOR@Eurographics, 2014)

Robust anomaly detection in Hyperspectral Imaging. - Joana Frontera-Pons; Miguel Angel Veganzones; Santiago Velasco-Forero; Frédéric Pascal 001; Jean Philippe Ovarlez; Jocelyn Chanussot (IGARSS, 2014)

Anomaly detection and important bands selection for hyperspectral images via sparse PCA. - Santiago Velasco-Forero; Marcus Chen; Alvina Goh; Sze Kim Pang (WHISPERS, 2014)

A comparative analysis of covariance matrix estimation in anomaly detection. - Santiago Velasco-Forero; Marcus Chen; Alvina Goh; Sze Kim Pang (WHISPERS, 2014)

Local Mutual Information for Dissimilarity-Based Image Segmentation. - Lionel Gueguen; Santiago Velasco-Forero; Pierre Soille (J. Math. Imaging Vis., 2014)

Conditional Toggle Mappings: Principles and Applications. - Santiago Velasco-Forero; Jesús Angulo; Pierre Soille (J. Math. Imaging Vis., 2014)

Riemannian mathematical morphology. - Jesús Angulo; Santiago Velasco-Forero (Pattern Recognit. Lett., 2014)

Nonlinear Operators on Graphs via Stacks. - Santiago Velasco-Forero; Jesús Angulo (GSI, 2015)

Objects co-segmentation: Propagated from simpler images. - Marcus Chen; Santiago Velasco-Forero; Ivor W. Tsang; Tat-Jen Cham (ICASSP, 2015)

Inner-Cheeger Opening and Applications. - Santiago Velasco-Forero (ISMM, 2015)

Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images. - Santiago Velasco-Forero; Marcus Chen; Alvina Goh; Sze Kim Pang (IEEE J. Sel. Top. Signal Process., 2015)

Retrieval of Human Subjects from Depth Sensor Data. - Andrea Giachetti 001; Francesco Fornasa; Federico Parezzan; Alessandro Saletti; Leonardo Zambaldo; Luisa Zanini; Felix Achilles; Alexandru Eugen Ichim; Federico Tombari; Nassir Navab; Santiago Velasco-Forero (3DOR@Eurographics, 2016)

A Bayesian Approach to Linear Unmixing in the Presence of Highly Mixed Spectra. - Bruno Figliuzzi; Santiago Velasco-Forero; Michel Bilodeau; Jesús Angulo (ACIVS, 2016)

Deep learning for studies of galaxy morphology. - Diego Tuccillo; Marc Huertas-Company; Etienne Decencière; Santiago Velasco-Forero (Astroinformatics, 2016)

Automatic selection of stochastic watershed hierarchies. - Amin Fehri; Santiago Velasco-Forero; Fernand Meyer (EUSIPCO, 2016)

Retrieval and classification methods for textured 3D models: a comparative study. - Silvia Biasotti; Andrea Cerri; Masaki Aono; A. Ben Hamza; Valeria Garro; Andrea Giachetti 001; Daniela Giorgi; Afzal Godil; C. Li; Chika Sanada; Michela Spagnuolo; Atsushi Tatsuma; et al. (Vis. Comput., 2016)

Retrieval of Surfaces with Similar Relief Patterns. - Silvia Biasotti; Elia Moscoso Thompson; Masaki Aono; A. Ben Hamza; Benjamin Bustos; Shuilong Dong; Bowen Du; Amin Fehri; Haisheng Li 002; Frederico A. Limberger; Majid Masoumi; Mahsa Rezaei; et al. (3DOR@Eurographics, 2017)

SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. - Frederico A. Limberger; Richard C. Wilson 001; Masaki Aono; Nicolas Audebert; Alexandre Boulch; Benjamin Bustos; Andrea Giachetti 001; Afzal Godil; Bertrand Le Saux; Bo Li 013; Yijuan Lu; Hai-Dang Nguyen; et al. (3DOR@Eurographics, 2017)

Morphological Semigroups and Scale-Spaces on Ultrametric Spaces. - Jesús Angulo; Santiago Velasco-Forero (ISMM, 2017)

Recognition of Geometric Patterns Over 3D Models. - Silvia Biasotti; Elia Moscoso Thompson; Loïc Barthe; Stefano Berretti; Andrea Giachetti 001; Thibault Lejemble; Nicolas Mellado; Konstantinos Moustakas; Iason Manolas; Dimitrios Dimou; Claudio Tortorici; Santiago Velasco-Forero; et al. (3DOR@Eurographics, 2018)

Retrieval of Gray Patterns Depicted on 3D Models. - Elia Moscoso Thompson; Claudio Tortorici; Naoufel Werghi; Stefano Berretti; Santiago Velasco-Forero; Silvia Biasotti (3DOR@Eurographics, 2018)

Dealing with Topological Information Within a Fully Convolutional Neural Network. - Etienne Decencière; Santiago Velasco-Forero; Fu Min; Juanjuan Chen; Hélène Burdin; Gervais Gauthier; Bruno Laÿ; Thomas Bornschloegl; Thérèse Baldeweck (ACIVS, 2018)

Tropical and Morphological Operators for Signals on Graphs. - Samy Blusseau; Santiago Velasco-Forero; Jesús Angulo; Isabelle Bloch (ICIP, 2018)

Characterizing Images by the Gromov-Hausdorff Distances Between Derived Hierarchies. - Amin Fehri; Santiago Velasco-Forero; Fernand Meyer (ICIP, 2018)

On Minimum Spanning Tree Streaming for Image Analysis. - Leonardo Gigli; Santiago Velasco-Forero; Beatriz Marcotegui (ICIP, 2018)

Segmentation hiérarchique faiblement supervisée. - Amin Fehri; Santiago Velasco-Forero; Fernand Meyer (CoRR, 2018)

On-the-Go Grapevine Yield Estimation Using Image Analysis and Boolean Model. - Borja Millán; Santiago Velasco-Forero; Arturo Aquino; Javier Tardáguila (J. Sensors, 2018)

A Graph-Based Color Lines Model for Image Analysis. - David Duque-Arias; Santiago Velasco-Forero; Jean-Emmanuel Deschaud; François Goulette; Beatriz Marcotegui (ICIAP (2), 2019)

A New Color Augmentation Method for Deep Learning Segmentation of Histological Images. - Yang Xiao; Etienne Decencière; Santiago Velasco-Forero; Hélène Burdin; Thomas Bornschlögl; Françoise Bernerd; Emilie Warrick; Thérèse Baldeweck (ISBI, 2019)

Part-Based Approximations for Morphological Operators Using Asymmetric Auto-encoders. - Bastien Ponchon; Santiago Velasco-Forero; Samy Blusseau; Jesús Angulo; Isabelle Bloch (ISMM, 2019)

Max-Plus Operators Applied to Filter Selection and Model Pruning in Neural Networks. - Yunxiang Zhang; Samy Blusseau; Santiago Velasco-Forero; Isabelle Bloch; Jesús Angulo (ISMM, 2019)

Prior-based Hierarchical Segmentation Highlighting Structures of Interest. - Amin Fehri; Santiago Velasco-Forero; Fernand Meyer (Math. Morphol. Theory Appl., 2019)

SHREC 2020: 3D point cloud semantic segmentation for street scenes. - Tao Ku; Remco C. Veltkamp; Bas Boom; David Duque-Arias; Santiago Velasco-Forero; Jean-Emmanuel Deschaud; François Goulette; Beatriz Marcotegui; Sebastián Ortega; Agustín Trujillo; José Pablo Suárez; José Miguel Santana; et al. (Comput. Graph., 2020)

SHREC 2020: Retrieval of digital surfaces with similar geometric reliefs. - Elia Moscoso Thompson; Silvia Biasotti; Andrea Giachetti 001; Claudio Tortorici; Naoufel Werghi; Ahmad Shaker Obeid; Stefano Berretti; Hoang-Phuc Nguyen-Dinh; Minh-Quan Le; Hai-Dang Nguyen; Minh-Triet Tran; Leonardo Gigli; et al. (Comput. Graph., 2020)

Road Segmentation on low resolution Lidar point clouds for autonomous vehicles. - Leonardo Gigli; B. Ravi Kiran 001; Thomas Paul; Andrés Serna; Nagarjuna Vemuri; Beatriz Marcotegui; Santiago Velasco-Forero (CoRR, 2020)

Approximating morphological operators with part-based representations learned by asymmetric auto-encoders. - Samy Blusseau; Bastien Ponchon; Santiago Velasco-Forero; Jesús Angulo; Isabelle Bloch (Math. Morphol. Theory Appl., 2020)

Combinatorial space of watershed hierarchies for image characterization. - Amin Fehri; Santiago Velasco-Forero; Fernand Meyer (Pattern Recognit. Lett., 2020)

On minimum spanning tree streaming for hierarchical segmentation. - Leonardo Gigli; Santiago Velasco-Forero; Beatriz Marcotegui (Pattern Recognit. Lett., 2020)

Scale Equivariant Neural Networks with Morphological Scale-Spaces. - Mateus Sangalli; Samy Blusseau; Santiago Velasco-Forero; Jesús Angulo (DGMM, 2021)

Measuring the Irregularity of Vector-Valued Morphological Operators Using Wasserstein Metric. - Marcos Eduardo Valle; Samuel Francisco; Marco Aurélio Granero; Santiago Velasco-Forero (DGMM, 2021)

End-to-End Similarity Learning and Hierarchical Clustering for Unfixed Size Datasets. - Leonardo Gigli; Beatriz Marcotegui; Santiago Velasco-Forero (GSI, 2021)

NNAKF: A Neural Network Adapted Kalman Filter for Target Tracking. - Sami Jouaber; Silvère Bonnabel; Santiago Velasco-Forero; Marion Pilté (ICASSP, 2021)

On Power Jaccard Losses for Semantic Segmentation. - David Duque-Arias; Santiago Velasco-Forero; Jean-Emmanuel Deschaud; François Goulette; Andrés Serna; Etienne Decencière; Beatriz Marcotegui (VISIGRAPP (5: VISAPP), 2021)

Deep Random Projection Outlyingness for Unsupervised Anomaly Detection. - Martin Bauw; Santiago Velasco-Forero; Jesús Angulo; Claude Adnet; Olivier Airiau (CoRR, 2021)

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results. - Nina Miolane; Matteo Caorsi; Umberto Lupo; Marius Guerard; Nicolas Guigui; Johan Mathe; Yann Cabanes; Wojciech Reise; Thomas Davies 001; António Leitão; Somesh Mohapatra; Saiteja Utpala; et al. (CoRR, 2021)

Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping. - Jean-Emmanuel Deschaud; David Duque; Jean Pierre Richa; Santiago Velasco-Forero; Beatriz Marcotegui; François Goulette (Remote. Sens., 2021)

Contributions to Mathematical Morphology. - Santiago Velasco-Forero (2022)

Scale-Equivariant U-Net. - Mateus Sangalli; Samy Blusseau; Santiago Velasco-Forero; Jesús Angulo (BMVC, 2022)

Fixed Point Layers for Geodesic Morphological Operations. - Santiago Velasco-Forero; Ayoub Rhim; Jesús Angulo (BMVC, 2022)

Morphological Adjunctions Represented by Matrices in Max-Plus Algebra for Signal and Image Processing. - Samy Blusseau; Santiago Velasco-Forero; Jesús Angulo; Isabelle Bloch (DGMM, 2022)

MorphoActivation: Generalizing ReLU Activation Function by Mathematical Morphology. - Santiago Velasco-Forero; Jesús Angulo (DGMM, 2022)

Fully Trainable Gaussian Derivative Convolutional Layer. - Valentin Penaud-Polge; Santiago Velasco-Forero; Jesús Angulo (ICIP, 2022)

Differential Invariants for SE(2)-Equivariant Networks. - Mateus Sangalli; Samy Blusseau; Santiago Velasco-Forero; Jesús Angulo (ICIP, 2022)

Moving frame net: SE(3)-equivariant network for volumes. - Mateus Sangalli; Samy Blusseau; Santiago Velasco-Forero; Jesús Angulo (NeurReps, 2022)

Near Out-of-Distribution Detection for Low-Resolution Radar Micro-doppler Signatures. - Martin Bauw; Santiago Velasco-Forero; Jesús Angulo; Claude Adnet; Olivier Airiau (ECML/PKDD (4), 2022)

Adaptive Anisotropic Morphological Filtering Based on Co-Circularity of Local Orientations. - Samy Blusseau; Santiago Velasco-Forero; Jesús Angulo; Isabelle Bloch (Image Process. Line, 2022)

Irregularity Index for Vector-Valued Morphological Operators. - Marcos Eduardo Valle; Samuel Francisco; Marco Aurélio Granero; Santiago Velasco-Forero (J. Math. Imaging Vis., 2022)

Learnable Empirical Mode Decomposition based on Mathematical Morphology. - Santiago Velasco-Forero; R. Pagès; Jesús Angulo (SIAM J. Imaging Sci., 2022)

Can Generalised Divergences Help for Invariant Neural Networks? - Santiago Velasco-Forero (GSI (1), 2023)

Rotation-invariant Hierarchical Segmentation on Poincaré Ball for 3D Point Cloud. - Pierre Onghena; Leonardo Gigli; Santiago Velasco-Forero (ICCV (Workshops), 2023)

GenHarris-ResNet: A Rotation Invariant Neural Network Based on Elementary Symmetric Polynomials. - Valentin Penaud-Polge; Santiago Velasco-Forero; Jesús Angulo (SSVM, 2023)

Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation. - João P. C. Bertoldo; Santiago Velasco-Forero; Jesús Angulo; Etienne Decencière (CoRR, 2023)

Real-time Classification of Aircrafts Manoeuvers. - Sami Jouaber; Silvère Bonnabel; Santiago Velasco-Forero; Marion Pilté; Jesús Angulo (J. Signal Process. Syst., 2023)

Counting Melanocytes with Trainable h-Maxima and Connected Component Layers. - Xiaohu Liu; Samy Blusseau; Santiago Velasco-Forero (DGMM, 2024)

Group Equivariant Networks Using Morphological Operators. - Valentin Penaud-Polge; Santiago Velasco-Forero; Jesús Angulo-Lopez (DGMM, 2024)

Deep Matrix Profile for Maneuver Classification in Low Earth Orbit Satellite Trajectories. - Stéfan Baudier; Santiago Velasco-Forero; Franck Jean; Daniel Brooks; Jesús Angulo (EUSIPCO, 2024)

Spatial Reasoning Loss for Weakly Supervised Segmentation of Skin Histological Images. - Mateus Sangalli; Santiago Velasco-Forero; José-Marcio Martins da Cruz; Virginie Flouret; Charlène Gayrard; Thérèse Baldeweck; Etienne Decencière (ISBI, 2024)

MorphoSkel3D: Morphological Skeletonization of 3D Point Clouds for Informed Sampling in Object Classification and Retrieval. - Pierre Onghena; Santiago Velasco-Forero; Beatriz Marcotegui (3DV, 2025)

Cell Counting with Trainable h-Maxima and Connected Component Layers. - Samy Blusseau; Xiaohu Liu; Santiago Velasco-Forero (J. Math. Imaging Vis., 2025)