Santiago Velasco-Forero

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 65

Top Venues

Publications

Xiaohu Liu, Samy Blusseau, Santiago Velasco-Forero
Counting Melanocytes with Trainable h-Maxima and Connected Component Layers. DGMM (2024)
Valentin Penaud-Polge, Santiago Velasco-Forero, Jesús Angulo-Lopez
Group Equivariant Networks Using Morphological Operators. DGMM (2024)
Valentin Penaud-Polge, Santiago Velasco-Forero, Jesús Angulo
GenHarris-ResNet: A Rotation Invariant Neural Network Based on Elementary Symmetric Polynomials. SSVM (2023)
Sami Jouaber, Silvère Bonnabel, Santiago Velasco-Forero, Marion Pilté, Jesús Angulo
Real-time Classification of Aircrafts Manoeuvers. J. Signal Process. Syst. 95 (4) (2023)
Pierre Onghena, Leonardo Gigli, Santiago Velasco-Forero
Rotation-invariant Hierarchical Segmentation on Poincaré Ball for 3D Point Cloud. ICCV (Workshops) (2023)
Santiago Velasco-Forero
Can Generalised Divergences Help for Invariant Neural Networks? GSI (1) (2023)
João P. C. Bertoldo, Santiago Velasco-Forero, Jesús Angulo, Etienne Decencière
Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation. CoRR (2023)
Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo, Isabelle Bloch
Morphological Adjunctions Represented by Matrices in Max-Plus Algebra for Signal and Image Processing. DGMM (2022)
Marcos Eduardo Valle, Samuel Francisco, Marco Aurélio Granero, Santiago Velasco-Forero
Irregularity Index for Vector-Valued Morphological Operators. J. Math. Imaging Vis. 64 (7) (2022)
Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo
Moving frame net: SE(3)-equivariant network for volumes. NeurReps (2022)
Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo
Moving Frame Net: SE(3)-Equivariant Network for Volumes. CoRR (2022)
Santiago Velasco-Forero, Jesús Angulo
MorphoActivation: Generalizing ReLU activation function by mathematical morphology. CoRR (2022)
Valentin Penaud-Polge, Santiago Velasco-Forero, Jesús Angulo
Fully trainable Gaussian derivative convolutional layer. CoRR (2022)
Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo
Scale Equivariant U-Net. CoRR (2022)
Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo
Differential Invariants for SE(2)-Equivariant Networks. ICIP (2022)
Valentin Penaud-Polge, Santiago Velasco-Forero, Jesús Angulo
Fully Trainable Gaussian Derivative Convolutional Layer. ICIP (2022)
Santiago Velasco-Forero, Ayoub Rhim, Jesús Angulo
Fixed Point Layers for Geodesic Morphological Operations. BMVC (2022)
Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo
Scale-Equivariant U-Net. BMVC (2022)
Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo, Isabelle Bloch
Adaptive Anisotropic Morphological Filtering Based on Co-Circularity of Local Orientations. Image Process. Line 12 (2022)
Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Claude Adnet, Olivier Airiau
Near out-of-distribution detection for low-resolution radar micro-Doppler signatures. CoRR (2022)
Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Claude Adnet, Olivier Airiau
Near Out-of-Distribution Detection for Low-Resolution Radar Micro-doppler Signatures. ECML/PKDD (4) (2022)
Santiago Velasco-Forero, Jesús Angulo
MorphoActivation: Generalizing ReLU Activation Function by Mathematical Morphology. DGMM (2022)
Santiago Velasco-Forero, R. Pagès, Jesús Angulo
Learnable Empirical Mode Decomposition based on Mathematical Morphology. SIAM J. Imaging Sci. 15 (1) (2022)
Sami Jouaber, Silvère Bonnabel, Santiago Velasco-Forero, Marion Pilté
NNAKF: A Neural Network Adapted Kalman Filter for Target Tracking. ICASSP (2021)
Jean-Emmanuel Deschaud, David Duque, Jean Pierre Richa, Santiago Velasco-Forero, Beatriz Marcotegui, François Goulette
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping. CoRR (2021)
Leonardo Gigli, Beatriz Marcotegui, Santiago Velasco-Forero
End-to-End Similarity Learning and Hierarchical Clustering for Unfixed Size Datasets. GSI (2021)
David Duque-Arias, Santiago Velasco-Forero, Jean-Emmanuel Deschaud, François Goulette, Andrés Serna, Etienne Decencière, Beatriz Marcotegui
On Power Jaccard Losses for Semantic Segmentation. VISIGRAPP (5: VISAPP) (2021)
Jean-Emmanuel Deschaud, David Duque, Jean Pierre Richa, Santiago Velasco-Forero, Beatriz Marcotegui, François Goulette
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping. Remote. Sens. 13 (22) (2021)
Marcos Eduardo Valle, Samuel Francisco, Marco Aurélio Granero, Santiago Velasco-Forero
Measuring the Irregularity of Vector-Valued Morphological Operators Using Wasserstein Metric. DGMM (2021)
Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo
Scale Equivariant Neural Networks with Morphological Scale-Spaces. DGMM (2021)
Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich, Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu, Bogdan-Alexandru Luchian, Mihai-Sorin Stupariu, Florent Michel, Khanh Dao Duc, Bilal Abdulrahman, Maxim Beketov, Elodie Maignant, Zhiyuan Liu, Marek Cerný, Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Yanan Long
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results. CoRR (2021)
Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Claude Adnet, Olivier Airiau
Deep Random Projection Outlyingness for Unsupervised Anomaly Detection. CoRR (2021)
Elia Moscoso Thompson, Silvia Biasotti, Andrea Giachetti, Claudio Tortorici, Naoufel Werghi, Ahmad Shaker Obeid, Stefano Berretti, Hoang-Phuc Nguyen-Dinh, Minh-Quan Le, Hai-Dang Nguyen, Minh-Triet Tran, Leonardo Gigli, Santiago Velasco-Forero, Beatriz Marcotegui, Ivan Sipiran, Benjamin Bustos, Ioannis Romanelis, Vlassis Fotis, Ramamoorthy Luxman
SHREC 2020: Retrieval of digital surfaces with similar geometric reliefs. Comput. Graph. 91 (2020)
Leonardo Gigli, B. Ravi Kiran, Thomas Paul, Andrés Serna, Nagarjuna Vemuri, Beatriz Marcotegui, Santiago Velasco-Forero
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles. CoRR (2020)
Leonardo Gigli, Santiago Velasco-Forero, Beatriz Marcotegui
On minimum spanning tree streaming for hierarchical segmentation. Pattern Recognit. Lett. 138 (2020)
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, Cristián Ramírez, Kiran Akadas, Shankar Gangisetty
SHREC 2020: 3D point cloud semantic segmentation for street scenes. Comput. Graph. 93 (2020)
Samy Blusseau, Bastien Ponchon, Santiago Velasco-Forero, Jesús Angulo, Isabelle Bloch
Approximating morphological operators with part-based representations learned by asymmetric auto-encoders. Math. Morphol. Theory Appl. 4 (1) (2020)
Amin Fehri, Santiago Velasco-Forero, Fernand Meyer
Combinatorial space of watershed hierarchies for image characterization. Pattern Recognit. Lett. 129 (2020)
David Duque-Arias, Santiago Velasco-Forero, Jean-Emmanuel Deschaud, François Goulette, Beatriz Marcotegui
A Graph-Based Color Lines Model for Image Analysis. ICIAP (2) (2019)
Bastien Ponchon, Santiago Velasco-Forero, Samy Blusseau, Jesús Angulo, Isabelle Bloch
Part-Based Approximations for Morphological Operators Using Asymmetric Auto-encoders. ISMM (2019)
Etienne Decencière, Santiago Velasco-Forero, Fu Min, Juanjuan Chen, Hélène Burdin, Gervais Gauthier, Bruno Laÿ, Thomas Bornschloegl, Thérèse Baldeweck
Dealing with Topological Information within a Fully Convolutional Neural Network. CoRR (2019)
Yunxiang Zhang, Samy Blusseau, Santiago Velasco-Forero, Isabelle Bloch, Jesús Angulo
Max-Plus Operators Applied to Filter Selection and Model Pruning in Neural Networks. ISMM (2019)
Bastien Ponchon, Santiago Velasco-Forero, Samy Blusseau, Jesús Angulo, Isabelle Bloch
Part-based approximations for morphological operators using asymmetric auto-encoders. CoRR (2019)
Yang Xiao, Etienne Decencière, Santiago Velasco-Forero, Hélène Burdin, Thomas Bornschlögl, Françoise Bernerd, Emilie Warrick, Thérèse Baldeweck
A New Color Augmentation Method for Deep Learning Segmentation of Histological Images. ISBI (2019)
Yunxiang Zhang, Samy Blusseau, Santiago Velasco-Forero, Isabelle Bloch, Jesús Angulo
Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks. CoRR (2019)
Amin Fehri, Santiago Velasco-Forero, Fernand Meyer
Prior-based Hierarchical Segmentation Highlighting Structures of Interest. Math. Morphol. Theory Appl. 3 (1) (2019)
Silvia Biasotti, Elia Moscoso Thompson, Loïc Barthe, Stefano Berretti, Andrea Giachetti, Thibault Lejemble, Nicolas Mellado, Konstantinos Moustakas, Iason Manolas, Dimitrios Dimou, Claudio Tortorici, Santiago Velasco-Forero, Naoufel Werghi, Martina Polig, Giusi Sorrentino, Sorin Hermon
Recognition of Geometric Patterns Over 3D Models. 3DOR@Eurographics (2018)
Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo, Isabelle Bloch
Tropical and Morphological Operators for Signals on Graphs. ICIP (2018)
Leonardo Gigli, Santiago Velasco-Forero, Beatriz Marcotegui
On Minimum Spanning Tree Streaming for Image Analysis. ICIP (2018)
Amin Fehri, Santiago Velasco-Forero, Fernand Meyer
Characterizing Images by the Gromov-Hausdorff Distances Between Derived Hierarchies. ICIP (2018)
Elia Moscoso Thompson, Claudio Tortorici, Naoufel Werghi, Stefano Berretti, Santiago Velasco-Forero, Silvia Biasotti
Retrieval of Gray Patterns Depicted on 3D Models. 3DOR@Eurographics (2018)
Borja Millán, Santiago Velasco-Forero, Arturo Aquino, Javier Tardáguila
On-the-Go Grapevine Yield Estimation Using Image Analysis and Boolean Model. J. Sensors 2018 (2018)
Etienne Decencière, Santiago Velasco-Forero, Fu Min, Juanjuan Chen, Hélène Burdin, Gervais Gauthier, Bruno Laÿ, Thomas Bornschloegl, Thérèse Baldeweck
Dealing with Topological Information Within a Fully Convolutional Neural Network. ACIVS (2018)
Amin Fehri, Santiago Velasco-Forero, Fernand Meyer
Segmentation hiérarchique faiblement supervisée. CoRR (2018)
Amin Fehri, Santiago Velasco-Forero, Fernand Meyer
Prior-Based Hierarchical Segmentation Highlighting Structures of Interest. ISMM (2017)
Jesús Angulo, Santiago Velasco-Forero
Morphological Semigroups and Scale-Spaces on Ultrametric Spaces. ISMM (2017)
Amin Fehri, Santiago Velasco-Forero, Fernand Meyer
Prior-based Hierarchical Segmentation Highlighting Structures of Interest. CoRR (2017)
Frederico A. Limberger, Richard C. Wilson, Masaki Aono, Nicolas Audebert, Alexandre Boulch, Benjamin Bustos, Andrea Giachetti, Afzal Godil, Bertrand Le Saux, Bo Li, Yijuan Lu, Hai-Dang Nguyen, V.-T. Nguyen, Viet-Khoi Pham, Ivan Sipiran, Atsushi Tatsuma, Minh-Triet Tran, Santiago Velasco-Forero
SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. 3DOR@Eurographics (2017)
Silvia Biasotti, Elia Moscoso Thompson, Masaki Aono, A. Ben Hamza, Benjamin Bustos, Shuilong Dong, Bowen Du, Amin Fehri, Haisheng Li, Frederico A. Limberger, Majid Masoumi, Mahsa Rezaei, Ivan Sipiran, Li Sun, Atsushi Tatsuma, Santiago Velasco-Forero, Richard C. Wilson, Yujuan Wu, Junjie Zhang, Tianyu Zhao, Francesco Fornasa, Andrea Giachetti
Retrieval of Surfaces with Similar Relief Patterns. 3DOR@Eurographics (2017)
Bruno Figliuzzi, Santiago Velasco-Forero, Michel Bilodeau, Jesús Angulo
A Bayesian Approach to Linear Unmixing in the Presence of Highly Mixed Spectra. ACIVS (2016)
Andrea Giachetti, Francesco Fornasa, Federico Parezzan, Alessandro Saletti, Leonardo Zambaldo, Luisa Zanini, Felix Achilles, Alexandru Eugen Ichim, Federico Tombari, Nassir Navab, Santiago Velasco-Forero
Retrieval of Human Subjects from Depth Sensor Data. 3DOR@Eurographics (2016)
Amin Fehri, Santiago Velasco-Forero, Fernand Meyer
Automatic selection of stochastic watershed hierarchies. EUSIPCO (2016)
Diego Tuccillo, Marc Huertas-Company, Etienne Decencière, Santiago Velasco-Forero
Deep learning for studies of galaxy morphology. Astroinformatics (2016)
Silvia Biasotti, Andrea Cerri, Masaki Aono, A. Ben Hamza, Valeria Garro, Andrea Giachetti, Daniela Giorgi, Afzal Godil, C. Li, Chika Sanada, Michela Spagnuolo, Atsushi Tatsuma, Santiago Velasco-Forero
Retrieval and classification methods for textured 3D models: a comparative study. Vis. Comput. 32 (2) (2016)
Amin Fehri, Santiago Velasco-Forero, Fernand Meyer
Automatic Selection of Stochastic Watershed Hierarchies. CoRR (2016)
Santiago Velasco-Forero, Jesús Angulo
Nonlinear Operators on Graphs via Stacks. GSI (2015)
Santiago Velasco-Forero
Inner-Cheeger Opening and Applications. ISMM (2015)
Santiago Velasco-Forero, Marcus Chen, Alvina Goh, Sze Kim Pang
Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images. IEEE J. Sel. Top. Signal Process. 9 (6) (2015)
Marcus Chen, Santiago Velasco-Forero, Ivor W. Tsang, Tat-Jen Cham
Objects co-segmentation: Propagated from simpler images. ICASSP (2015)
Silvia Biasotti, Andrea Cerri, Mostafa Abdelrahman, Masaki Aono, Abdessamad Ben Hamza, Moumen T. El-Melegy, Aly A. Farag, Valeria Garro, Andrea Giachetti, Daniela Giorgi, Afzal Godil, C. Li, Y.-J. Liu, H. Y. Martono, Chika Sanada, Atsushi Tatsuma, Santiago Velasco-Forero, C.-X. Xu
Retrieval and Classification on Textured 3D Models. 3DOR@Eurographics (2014)
Santiago Velasco-Forero, Jesús Angulo, Pierre Soille
Conditional Toggle Mappings: Principles and Applications. J. Math. Imaging Vis. 48 (3) (2014)
Santiago Velasco-Forero, Marcus Chen, Alvina Goh, Sze Kim Pang
A comparative analysis of covariance matrix estimation in anomaly detection. WHISPERS (2014)
Santiago Velasco-Forero, Marcus Chen, Alvina Goh, Sze Kim Pang
Anomaly detection and important bands selection for hyperspectral images via sparse PCA. WHISPERS (2014)
Lionel Gueguen, Santiago Velasco-Forero, Pierre Soille
Local Mutual Information for Dissimilarity-Based Image Segmentation. J. Math. Imaging Vis. 48 (3) (2014)
Joana Frontera-Pons, Miguel Angel Veganzones, Santiago Velasco-Forero, Frédéric Pascal, Jean Philippe Ovarlez, Jocelyn Chanussot
Robust anomaly detection in Hyperspectral Imaging. IGARSS (2014)
Jesús Angulo, Santiago Velasco-Forero
Riemannian mathematical morphology. Pattern Recognit. Lett. 47 (2014)
Jesús Angulo, Santiago Velasco-Forero
Complete Lattice Structure of Poincaré Upper-Half Plane and Mathematical Morphology for Hyperbolic-Valued Images. GSI (2013)
Santiago Velasco-Forero, Jesús Angulo
On Nonlocal Mathematical Morphology. ISMM (2013)
Santiago Velasco-Forero, Jesús Angulo
Supervised Morphology for Structure Tensor-Valued Images Based on Symmetric Divergence Kernels. GSI (2013)
Jesús Angulo, Santiago Velasco-Forero
Stochastic Morphological Filtering and Bellman-Maslov Chains. ISMM (2013)
Santiago Velasco-Forero, Jesús Angulo
Classification of hyperspectral images by tensor modeling and additive morphological decomposition. Pattern Recognit. 46 (2) (2013)
Jesús Angulo, Santiago Velasco-Forero
Mathematical Morphology for Real-Valued Images on Riemannian Manifolds. ISMM (2013)
Santiago Velasco-Forero, Maider Marin-McGee, Miguel Velez-Reyes
Multivariate diffusion tensor and induced segmentation. WHISPERS (2013)
Andrea Cerri, Silvia Biasotti, Mostafa Abdelrahman, Jesús Angulo, K. Berger, Louis Chevallier, Moumen T. El-Melegy, Aly A. Farag, F. Lefebvre, Andrea Giachetti, H. Guermoud, Y.-J. Liu, Santiago Velasco-Forero, Jean-Ronan Vigouroux, C.-X. Xu, J.-B. Zhang
SHREC'13 Track: Retrieval on Textured 3D Models. 3DOR@Eurographics (2013)
Santiago Velasco-Forero, Jesús Angulo
Random Projection Depth for Multivariate Mathematical Morphology. IEEE J. Sel. Top. Signal Process. 6 (7) (2012)
Santiago Velasco-Forero, Jesús Angulo
Robust RX anomaly detector without covariance matrix estimation. WHISPERS (2012)
Lionel Gueguen, Santiago Velasco-Forero, Pierre Soille
Edge extraction by statistical dependence analysis: application to multi-angular WorldView-2 series. IGARSS (2012)
Santiago Velasco-Forero, Jesús Angulo
: Application to Morphological Processing of Hyperspectral Images. IEEE Trans. Image Process. 20 (11) (2011)
Jesús Angulo, Santiago Velasco-Forero
Sparse Mathematical Morphology Using Non-negative Matrix Factorization. ISMM (2011)
Santiago Velasco-Forero, Jesús Angulo
Multiclass ordering for filtering and classification of hyperspectral images. WHISPERS (2011)
Santiago Velasco-Forero, Jesús Angulo
Mathematical Morphology for Vector Images Using Statistical Depth. ISMM (2011)
Santiago Velasco-Forero, Jesús Angulo
Morphological processing of hyperspectral images using kriging-based supervised ordering. ICIP (2010)
Santiago Velasco-Forero, Jesús Angulo
Spatial structures detection in hyperspectral images using mathematical morphology. WHISPERS (2010)
Santiago Velasco-Forero, Jesús Angulo
Statistical Shape Modeling Using Morphological Representations. ICPR (2010)
Santiago Velasco-Forero, Jesús Angulo
Hit-or-Miss Transform in Multivariate Images. ACIVS (1) (2010)
Jesús Angulo, Santiago Velasco-Forero
Structurally adaptive mathematical morphology on nonlinear scale-space representations. ICIP (2010)
Santiago Velasco-Forero, Jesús Angulo, Jocelyn Chanussot
Morphological Image Distances for Hyperspectral Dimensionality Exploration using Kernel-PCA and ISOMAP. IGARSS (3) (2009)
Jesús Angulo, Santiago Velasco-Forero, Jocelyn Chanussot
Multiscale Stochastic Watershed for Unsupervised Hyperspectral Image Segmentation. IGARSS (3) (2009)
Santiago Velasco-Forero, Vidya B. Manian
Improving Hyperspectral Image Classification Using Spatial Preprocessing. IEEE Geosci. Remote. Sens. Lett. 6 (2) (2009)
Santiago Velasco-Forero, Jesús Angulo
Morphological scale-space for hyperspectral images and dimensionality exploration using tensor modeling. WHISPERS (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Santiago Velasco-Forero