Santiago Velasco-Forero

Orcid: 0000-0002-2438-1747

Affiliations:
  • Mines ParisTech, France


According to our database1, Santiago Velasco-Forero authored at least 90 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Group Equivariant Networks Using Morphological Operators.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2024

Counting Melanocytes with Trainable h-Maxima and Connected Component Layers.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2024

2023
Real-time Classification of Aircrafts Manoeuvers.
J. Signal Process. Syst., April, 2023

Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation.
CoRR, 2023

GenHarris-ResNet: A Rotation Invariant Neural Network Based on Elementary Symmetric Polynomials.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Rotation-invariant Hierarchical Segmentation on Poincaré Ball for 3D Point Cloud.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Can Generalised Divergences Help for Invariant Neural Networks?
Proceedings of the Geometric Science of Information - 6th International Conference, 2023

2022
Learnable Empirical Mode Decomposition based on Mathematical Morphology.
SIAM J. Imaging Sci., 2022

Irregularity Index for Vector-Valued Morphological Operators.
J. Math. Imaging Vis., 2022

Adaptive Anisotropic Morphological Filtering Based on Co-Circularity of Local Orientations.
Image Process. Line, 2022

Near Out-of-Distribution Detection for Low-Resolution Radar Micro-doppler Signatures.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Moving frame net: SE(3)-equivariant network for volumes.
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

Differential Invariants for SE(2)-Equivariant Networks.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Fully Trainable Gaussian Derivative Convolutional Layer.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

MorphoActivation: Generalizing ReLU Activation Function by Mathematical Morphology.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2022

Morphological Adjunctions Represented by Matrices in Max-Plus Algebra for Signal and Image Processing.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2022

Fixed Point Layers for Geodesic Morphological Operations.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Scale-Equivariant U-Net.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Contributions to Mathematical Morphology.
, 2022

2021
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping.
Remote. Sens., 2021

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results.
CoRR, 2021

Deep Random Projection Outlyingness for Unsupervised Anomaly Detection.
CoRR, 2021

On Power Jaccard Losses for Semantic Segmentation.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

NNAKF: A Neural Network Adapted Kalman Filter for Target Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2021

End-to-End Similarity Learning and Hierarchical Clustering for Unfixed Size Datasets.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

Measuring the Irregularity of Vector-Valued Morphological Operators Using Wasserstein Metric.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

Scale Equivariant Neural Networks with Morphological Scale-Spaces.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

2020
On minimum spanning tree streaming for hierarchical segmentation.
Pattern Recognit. Lett., 2020

Combinatorial space of watershed hierarchies for image characterization.
Pattern Recognit. Lett., 2020

Approximating morphological operators with part-based representations learned by asymmetric auto-encoders.
Math. Morphol. Theory Appl., 2020

Road Segmentation on low resolution Lidar point clouds for autonomous vehicles.
CoRR, 2020

SHREC 2020: Retrieval of digital surfaces with similar geometric reliefs.
Comput. Graph., 2020

SHREC 2020: 3D point cloud semantic segmentation for street scenes.
Comput. Graph., 2020

2019
Prior-based Hierarchical Segmentation Highlighting Structures of Interest.
Math. Morphol. Theory Appl., 2019

Max-Plus Operators Applied to Filter Selection and Model Pruning in Neural Networks.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2019

Part-Based Approximations for Morphological Operators Using Asymmetric Auto-encoders.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2019

A New Color Augmentation Method for Deep Learning Segmentation of Histological Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Graph-Based Color Lines Model for Image Analysis.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

2018
On-the-Go Grapevine Yield Estimation Using Image Analysis and Boolean Model.
J. Sensors, 2018

Segmentation hiérarchique faiblement supervisée.
CoRR, 2018

On Minimum Spanning Tree Streaming for Image Analysis.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Characterizing Images by the Gromov-Hausdorff Distances Between Derived Hierarchies.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Tropical and Morphological Operators for Signals on Graphs.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Dealing with Topological Information Within a Fully Convolutional Neural Network.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

Retrieval of Gray Patterns Depicted on 3D Models.
Proceedings of the 11th Eurographics Workshop on 3D Object Retrieval, 2018


2017
Morphological Semigroups and Scale-Spaces on Ultrametric Spaces.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2017



2016
Retrieval and classification methods for textured 3D models: a comparative study.
Vis. Comput., 2016

Automatic selection of stochastic watershed hierarchies.
Proceedings of the 24th European Signal Processing Conference, 2016

Deep learning for studies of galaxy morphology.
Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016

A Bayesian Approach to Linear Unmixing in the Presence of Highly Mixed Spectra.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016

Retrieval of Human Subjects from Depth Sensor Data.
Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

2015
Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images.
IEEE J. Sel. Top. Signal Process., 2015

Inner-Cheeger Opening and Applications.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

Objects co-segmentation: Propagated from simpler images.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Nonlinear Operators on Graphs via Stacks.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

2014
Riemannian mathematical morphology.
Pattern Recognit. Lett., 2014

Conditional Toggle Mappings: Principles and Applications.
J. Math. Imaging Vis., 2014

Local Mutual Information for Dissimilarity-Based Image Segmentation.
J. Math. Imaging Vis., 2014

A comparative analysis of covariance matrix estimation in anomaly detection.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Anomaly detection and important bands selection for hyperspectral images via sparse PCA.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Robust anomaly detection in Hyperspectral Imaging.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


2013
Classification of hyperspectral images by tensor modeling and additive morphological decomposition.
Pattern Recognit., 2013

Multivariate diffusion tensor and induced segmentation.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

On Nonlocal Mathematical Morphology.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013

Mathematical Morphology for Real-Valued Images on Riemannian Manifolds.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013

Stochastic Morphological Filtering and Bellman-Maslov Chains.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013

Supervised Morphology for Structure Tensor-Valued Images Based on Symmetric Divergence Kernels.
Proceedings of the Geometric Science of Information - First International Conference, 2013

Complete Lattice Structure of Poincaré Upper-Half Plane and Mathematical Morphology for Hyperbolic-Valued Images.
Proceedings of the Geometric Science of Information - First International Conference, 2013


2012
Random Projection Depth for Multivariate Mathematical Morphology.
IEEE J. Sel. Top. Signal Process., 2012

Robust RX anomaly detector without covariance matrix estimation.
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

Edge extraction by statistical dependence analysis: application to multi-angular WorldView-2 series.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Supervised Ordering in R<sup>p</sup>: Application to Morphological Processing of Hyperspectral Images.
IEEE Trans. Image Process., 2011

Multiclass ordering for filtering and classification of hyperspectral images.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Mathematical Morphology for Vector Images Using Statistical Depth.
Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, 2011

Sparse Mathematical Morphology Using Non-negative Matrix Factorization.
Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, 2011

2010
Spatial structures detection in hyperspectral images using mathematical morphology.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Statistical Shape Modeling Using Morphological Representations.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Morphological processing of hyperspectral images using kriging-based supervised ordering.
Proceedings of the International Conference on Image Processing, 2010

Structurally adaptive mathematical morphology on nonlinear scale-space representations.
Proceedings of the International Conference on Image Processing, 2010

Hit-or-Miss Transform in Multivariate Images.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2010

2009
Improving Hyperspectral Image Classification Using Spatial Preprocessing.
IEEE Geosci. Remote. Sens. Lett., 2009

Morphological scale-space for hyperspectral images and dimensionality exploration using tensor modeling.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Morphological Image Distances for Hyperspectral Dimensionality Exploration using Kernel-PCA and ISOMAP.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Multiscale Stochastic Watershed for Unsupervised Hyperspectral Image Segmentation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008
Improving Hyperspectral Image Classification based on Graphs using Spatial Preprocessing.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008


  Loading...