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Santiago Velasco-Forero
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- affiliation: Mines ParisTech, France
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2020 – today
- 2024
- [c66]Valentin Penaud-Polge, Santiago Velasco-Forero, Jesús Angulo-Lopez:
Group Equivariant Networks Using Morphological Operators. DGMM 2024: 165-177 - [c65]Xiaohu Liu
, Samy Blusseau
Counting Melanocytes with Trainable h-Maxima and Connected Component Layers. DGMM 2024: 417-430 - [c64]Stéfan Baudier, Santiago Velasco-Forero, Franck Jean, Daniel Brooks, Jesús Angulo:
Deep Matrix Profile for Maneuver Classification in Low Earth Orbit Satellite Trajectories. EUSIPCO 2024: 1781-1785 - [c63]Mateus Sangalli, Santiago Velasco-Forero, José-Marcio Martins da Cruz, Virginie Flouret, Charlène Gayrard, Thérèse Baldeweck, Etienne Decencière:
Spatial Reasoning Loss for Weakly Supervised Segmentation of Skin Histological Images. ISBI 2024: 1-5 - 2023
- [j21]Sami Jouaber
Real-time Classification of Aircrafts Manoeuvers. J. Signal Process. Syst. 95(4): 425-434 (2023) - [c62]Santiago Velasco-Forero:
Can Generalised Divergences Help for Invariant Neural Networks? GSI (1) 2023: 82-90 - [c61]Pierre Onghena, Leonardo Gigli, Santiago Velasco-Forero:
Rotation-invariant Hierarchical Segmentation on Poincaré Ball for 3D Point Cloud. ICCV (Workshops) 2023: 1757-1766 - [c60]Valentin Penaud-Polge, Santiago Velasco-Forero, Jesús Angulo:
GenHarris-ResNet: A Rotation Invariant Neural Network Based on Elementary Symmetric Polynomials. SSVM 2023: 149-161 - [i16]João P. C. Bertoldo, Santiago Velasco-Forero, Jesús Angulo, Etienne Decencière:
Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation. CoRR abs/2301.09602 (2023) - 2022
- [b1]Santiago Velasco-Forero:
Contributions to Mathematical Morphology. Polytechnic Institute of Paris, Palaiseau, France, 2022 - [j20]Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo, Isabelle Bloch:
Adaptive Anisotropic Morphological Filtering Based on Co-Circularity of Local Orientations. Image Process. Line 12: 111-141 (2022) - [j19]Marcos Eduardo Valle
Irregularity Index for Vector-Valued Morphological Operators. J. Math. Imaging Vis. 64(7): 754-770 (2022) - [j18]Santiago Velasco-Forero
Learnable Empirical Mode Decomposition based on Mathematical Morphology. SIAM J. Imaging Sci. 15(1): 23-44 (2022) - [c59]Santiago Velasco-Forero, Ayoub Rhim, Jesús Angulo:
Fixed Point Layers for Geodesic Morphological Operations. BMVC 2022: 480 - [c58]Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo:
Scale-Equivariant U-Net. BMVC 2022: 763 - [c57]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: 206-218 - [c56]Santiago Velasco-Forero, Jesús Angulo:
MorphoActivation: Generalizing ReLU Activation Function by Mathematical Morphology. DGMM 2022: 449-461 - [c55]Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo:
Differential Invariants for SE(2)-Equivariant Networks. ICIP 2022: 2216-2220 - [c54]Valentin Penaud-Polge, Santiago Velasco-Forero, Jesús Angulo:
Fully Trainable Gaussian Derivative Convolutional Layer. ICIP 2022: 2421-2425 - [c53]Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo:
Moving frame net: SE(3)-equivariant network for volumes. NeurReps 2022: 81-97 - [c52]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: 384-399 - [i15]Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Claude Adnet, Olivier Airiau:
Near out-of-distribution detection for low-resolution radar micro-Doppler signatures. CoRR abs/2205.07869 (2022) - [i14]Santiago Velasco-Forero, Jesús Angulo:
MorphoActivation: Generalizing ReLU activation function by mathematical morphology. CoRR abs/2207.06413 (2022) - [i13]Valentin Penaud-Polge, Santiago Velasco-Forero, Jesús Angulo:
Fully trainable Gaussian derivative convolutional layer. CoRR abs/2207.08424 (2022) - [i12]Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo:
Scale Equivariant U-Net. CoRR abs/2210.04508 (2022) - [i11]Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo:
Moving Frame Net: SE(3)-Equivariant Network for Volumes. CoRR abs/2211.03420 (2022) - 2021
- [j17]Jean-Emmanuel Deschaud
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping. Remote. Sens. 13(22): 4713 (2021) - [c51]Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo:
Scale Equivariant Neural Networks with Morphological Scale-Spaces. DGMM 2021: 483-495 - [c50]Marcos Eduardo Valle, Samuel Francisco
Measuring the Irregularity of Vector-Valued Morphological Operators Using Wasserstein Metric. DGMM 2021: 512-524 - [c49]Leonardo Gigli, Beatriz Marcotegui, Santiago Velasco-Forero:
End-to-End Similarity Learning and Hierarchical Clustering for Unfixed Size Datasets. GSI 2021: 596-604 - [c48]Sami Jouaber
NNAKF: A Neural Network Adapted Kalman Filter for Target Tracking. ICASSP 2021: 4075-4079 - [c47]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: 561-568 - [i10]Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Claude Adnet, Olivier Airiau:
Deep Random Projection Outlyingness for Unsupervised Anomaly Detection. CoRR abs/2106.15307 (2021) - [i9]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
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results. CoRR abs/2108.09810 (2021) - [i8]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 abs/2111.11348 (2021) - 2020
- [j16]Elia Moscoso Thompson, Silvia Biasotti
SHREC 2020: Retrieval of digital surfaces with similar geometric reliefs. Comput. Graph. 91: 199-218 (2020) - [j15]Tao Ku, Remco C. Veltkamp, Bas Boom, David Duque-Arias
SHREC 2020: 3D point cloud semantic segmentation for street scenes. Comput. Graph. 93: 13-24 (2020) - [j14]Samy Blusseau, Bastien Ponchon, Santiago Velasco-Forero
Approximating morphological operators with part-based representations learned by asymmetric auto-encoders. Math. Morphol. Theory Appl. 4(1): 64-86 (2020) - [j13]Amin Fehri, Santiago Velasco-Forero
Combinatorial space of watershed hierarchies for image characterization. Pattern Recognit. Lett. 129: 41-47 (2020) - [j12]Leonardo Gigli
On minimum spanning tree streaming for hierarchical segmentation. Pattern Recognit. Lett. 138: 155-162 (2020) - [i7]Leonardo Gigli
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles. CoRR abs/2005.13102 (2020)
2010 – 2019
- 2019
- [j11]Amin Fehri, Santiago Velasco-Forero
Prior-based Hierarchical Segmentation Highlighting Structures of Interest. Math. Morphol. Theory Appl. 3(1): 29-44 (2019) - [c46]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: 181-191 - [c45]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: 886-890 - [c44]Yunxiang Zhang
Max-Plus Operators Applied to Filter Selection and Model Pruning in Neural Networks. ISMM 2019: 310-322 - [c43]Bastien Ponchon, Santiago Velasco-Forero, Samy Blusseau, Jesús Angulo, Isabelle Bloch:
Part-Based Approximations for Morphological Operators Using Asymmetric Auto-encoders. ISMM 2019: 323-334 - [i6]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 abs/1903.08072 (2019) - [i5]Bastien Ponchon, Santiago Velasco-Forero, Samy Blusseau, Jesús Angulo, Isabelle Bloch:
Part-based approximations for morphological operators using asymmetric auto-encoders. CoRR abs/1904.00763 (2019) - [i4]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 abs/1906.11600 (2019) - 2018
- [j10]Borja Millán
On-the-Go Grapevine Yield Estimation Using Image Analysis and Boolean Model. J. Sensors 2018: 9634752:1-9634752:14 (2018) - [c42]Elia Moscoso Thompson, Claudio Tortorici
Retrieval of Gray Patterns Depicted on 3D Models. 3DOR@Eurographics 2018: 63-69 - [c41]Silvia Biasotti
Recognition of Geometric Patterns Over 3D Models. 3DOR@Eurographics 2018: 71-77 - [c40]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: 462-471 - [c39]Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo, Isabelle Bloch:
Tropical and Morphological Operators for Signals on Graphs. ICIP 2018: 1198-1202 - [c38]Amin Fehri, Santiago Velasco-Forero, Fernand Meyer:
Characterizing Images by the Gromov-Hausdorff Distances Between Derived Hierarchies. ICIP 2018: 1213-1217 - [c37]Leonardo Gigli
On Minimum Spanning Tree Streaming for Image Analysis. ICIP 2018: 3229-3233 - [i3]Amin Fehri, Santiago Velasco-Forero, Fernand Meyer:
Segmentation hiérarchique faiblement supervisée. CoRR abs/1802.07008 (2018) - 2017
- [c36]Silvia Biasotti
Retrieval of Surfaces with Similar Relief Patterns. 3DOR@Eurographics 2017 - [c35]Frederico A. Limberger, Richard C. Wilson, Masaki Aono, Nicolas Audebert
SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. 3DOR@Eurographics 2017 - [c34]Jesús Angulo, Santiago Velasco-Forero:
Morphological Semigroups and Scale-Spaces on Ultrametric Spaces. ISMM 2017: 28-39 - [c33]Amin Fehri, Santiago Velasco-Forero, Fernand Meyer:
Prior-Based Hierarchical Segmentation Highlighting Structures of Interest. ISMM 2017: 146-158 - [e1]Jesús Angulo, Santiago Velasco-Forero, Fernand Meyer:
Mathematical Morphology and Its Applications to Signal and Image Processing - 13th International Symposium, ISMM 2017, Fontainebleau, France, May 15-17, 2017, Proceedings. Lecture Notes in Computer Science 10225, 2017, ISBN 978-3-319-57239-0 [contents] - [i2]Amin Fehri, Santiago Velasco-Forero, Fernand Meyer:
Prior-based Hierarchical Segmentation Highlighting Structures of Interest. CoRR abs/1703.03196 (2017) - 2016
- [j9]Silvia Biasotti
Retrieval and classification methods for textured 3D models: a comparative study. Vis. Comput. 32(2): 217-241 (2016) - [c32]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 - [c31]Bruno Figliuzzi, Santiago Velasco-Forero, Michel Bilodeau
A Bayesian Approach to Linear Unmixing in the Presence of Highly Mixed Spectra. ACIVS 2016: 263-274 - [c30]Diego Tuccillo
Deep learning for studies of galaxy morphology. Astroinformatics 2016: 191-196 - [c29]Amin Fehri, Santiago Velasco-Forero, Fernand Meyer:
Automatic selection of stochastic watershed hierarchies. EUSIPCO 2016: 1877-1881 - [i1]Amin Fehri, Santiago Velasco-Forero, Fernand Meyer:
Automatic Selection of Stochastic Watershed Hierarchies. CoRR abs/1609.02715 (2016) - 2015
- [j8]Santiago Velasco-Forero
Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images. IEEE J. Sel. Top. Signal Process. 9(6): 1061-1073 (2015) - [c28]Santiago Velasco-Forero, Jesús Angulo:
Nonlinear Operators on Graphs via Stacks. GSI 2015: 654-663 - [c27]Marcus Chen, Santiago Velasco-Forero, Ivor W. Tsang
Objects co-segmentation: Propagated from simpler images. ICASSP 2015: 1682-1686 - [c26]Santiago Velasco-Forero
Inner-Cheeger Opening and Applications. ISMM 2015: 75-85 - 2014
- [j7]Santiago Velasco-Forero
Conditional Toggle Mappings: Principles and Applications. J. Math. Imaging Vis. 48(3): 544-565 (2014) - [j6]Lionel Gueguen, Santiago Velasco-Forero
Local Mutual Information for Dissimilarity-Based Image Segmentation. J. Math. Imaging Vis. 48(3): 625-644 (2014) - [j5]Jesús Angulo, Santiago Velasco-Forero
Riemannian mathematical morphology. Pattern Recognit. Lett. 47: 93-101 (2014) - [c25]Silvia Biasotti
Retrieval and Classification on Textured 3D Models. 3DOR@Eurographics 2014: 111-120 - [c24]Joana Frontera-Pons
Robust anomaly detection in Hyperspectral Imaging. IGARSS 2014: 4604-4607 - [c23]Santiago Velasco-Forero, Marcus Chen, Alvina Goh, Sze Kim Pang:
Anomaly detection and important bands selection for hyperspectral images via sparse PCA. WHISPERS 2014: 1-4 - [c22]Santiago Velasco-Forero, Marcus Chen, Alvina Goh, Sze Kim Pang:
A comparative analysis of covariance matrix estimation in anomaly detection. WHISPERS 2014: 1-4 - 2013
- [j4]Santiago Velasco-Forero
Classification of hyperspectral images by tensor modeling and additive morphological decomposition. Pattern Recognit. 46(2): 566-577 (2013) - [c21]Andrea Cerri
SHREC'13 Track: Retrieval on Textured 3D Models. 3DOR@Eurographics 2013: 73-80 - [c20]Jesús Angulo, Santiago Velasco-Forero:
Complete Lattice Structure of Poincaré Upper-Half Plane and Mathematical Morphology for Hyperbolic-Valued Images. GSI 2013: 535-542 - [c19]Santiago Velasco-Forero, Jesús Angulo:
Supervised Morphology for Structure Tensor-Valued Images Based on Symmetric Divergence Kernels. GSI 2013: 543-550 - [c18]Jesús Angulo, Santiago Velasco-Forero
Stochastic Morphological Filtering and Bellman-Maslov Chains. ISMM 2013: 171-182 - [c17]Santiago Velasco-Forero
On Nonlocal Mathematical Morphology. ISMM 2013: 219-230 - [c16]Jesús Angulo, Santiago Velasco-Forero
Mathematical Morphology for Real-Valued Images on Riemannian Manifolds. ISMM 2013: 279-291 - [c15]Santiago Velasco-Forero, Maider Marin-McGee, Miguel Velez-Reyes
Multivariate diffusion tensor and induced segmentation. WHISPERS 2013: 1-4 - 2012
- [j3]Santiago Velasco-Forero, Jesús Angulo:
Random Projection Depth for Multivariate Mathematical Morphology. IEEE J. Sel. Top. Signal Process. 6(7): 753-763 (2012) - [c14]Lionel Gueguen, Santiago Velasco-Forero, Pierre Soille
Edge extraction by statistical dependence analysis: application to multi-angular WorldView-2 series. IGARSS 2012: 3447-3450 - [c13]Santiago Velasco-Forero, Jesús Angulo:
Robust RX anomaly detector without covariance matrix estimation. WHISPERS 2012: 1-4 - 2011
- [j2]Santiago Velasco-Forero
Supervised Ordering in Rp: Application to Morphological Processing of Hyperspectral Images. IEEE Trans. Image Process. 20(11): 3301-3308 (2011) - [c12]Jesús Angulo, Santiago Velasco-Forero:
Sparse Mathematical Morphology Using Non-negative Matrix Factorization. ISMM 2011: 1-12 - [c11]Santiago Velasco-Forero, Jesús Angulo:
Mathematical Morphology for Vector Images Using Statistical Depth. ISMM 2011: 355-366 - [c10]Santiago Velasco-Forero
Multiclass ordering for filtering and classification of hyperspectral images. WHISPERS 2011: 1-4 - 2010
- [c9]Santiago Velasco-Forero
Hit-or-Miss Transform in Multivariate Images. ACIVS (1) 2010: 452-463 - [c8]Jesús Angulo, Santiago Velasco-Forero
Structurally adaptive mathematical morphology on nonlinear scale-space representations. ICIP 2010: 121-124 - [c7]Santiago Velasco-Forero
Morphological processing of hyperspectral images using kriging-based supervised ordering. ICIP 2010: 1409-1412 - [c6]Santiago Velasco-Forero
Statistical Shape Modeling Using Morphological Representations. ICPR 2010: 3537-3540 - [c5]Santiago Velasco-Forero
Spatial structures detection in hyperspectral images using mathematical morphology. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j1]Santiago Velasco-Forero
Improving Hyperspectral Image Classification Using Spatial Preprocessing. IEEE Geosci. Remote. Sens. Lett. 6(2): 297-301 (2009) - [c4]Jesús Angulo, Santiago Velasco-Forero
Multiscale Stochastic Watershed for Unsupervised Hyperspectral Image Segmentation. IGARSS (3) 2009: 93-96 - [c3]Santiago Velasco-Forero, Jesús Angulo, Jocelyn Chanussot:
Morphological Image Distances for Hyperspectral Dimensionality Exploration using Kernel-PCA and ISOMAP. IGARSS (3) 2009: 109-112 - [c2]Santiago Velasco-Forero, Jesús Angulo:
Morphological scale-space for hyperspectral images and dimensionality exploration using tensor modeling. WHISPERS 2009: 1-4 - 2008
- [c1]Santiago Velasco-Forero
Improving Hyperspectral Image Classification based on Graphs using Spatial Preprocessing. IGARSS (3) 2008: 656-659
Coauthor Index
[c64] [j21] [c60] [i16] [j20] [j18] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [i15] [i14] [i13] [i12] [i11] [c51] [i10] [i9] [j14] [c44] [c43] [i6] [i5] [c39] [c34] [e1] [c31] [c28] [j7] [j5] [j4] [c21] [c20] [c19] [c18] [c17] [c16] [j3] [c13] [j2] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2]
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