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ORCIDFrancisco Escolano
Francisco Escolano Ruiz
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- affiliation: University of Alicante, Spain
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2020 – today
- 2025
[j30]Ahmed Begga
, Francisco Escolano, Miguel Angel Lozano:
Node classification in the heterophilic regime via diffusion-jump GNNs. Neural Networks 181: 106830 (2025)- 2024
- [c79]Ahmed Begga, Miguel Angel Lozano, Francisco Escolano:
HEX-GNN: Hierarchical EXpanders for Node Classification. CAEPIA 2024: 233-242 - [c78]Ahmed Begga, Waqar Ali, Gabriel Niculescu, Francisco Escolano, Thilo Stadelmann, Marcello Pelillo:
Community-Hop: Enhancing Node Classification Through Community Preference. S+SSPR 2024: 21-30 - 2023
- [i5]Adrián Arnaiz-Rodríguez, Francisco Escolano, Nuria Oliver:
FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values. CoRR abs/2303.01928 (2023) - [i4]Ahmed Begga, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters. CoRR abs/2306.16976 (2023) - 2022
- [c77]Piera Riccio, José Luis Oliver, Francisco Escolano, Nuria Oliver:
Algorithmic Censorship of Art: A Proposed Research Agenda. ICCC 2022: 359-363 - [c76]Miguel Angel Lozano, Òscar Garibo i Orts, Eloy Piñol, Miguel Rebollo, Kristina Polotskaya, Miguel Ángel García-March, J. Alberto Conejero, Francisco Escolano, Nuria Oliver:
Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract). IJCAI 2022: 5304-5308 - [c75]Adrián Arnaiz-Rodríguez, Ahmed Begga, Francisco Escolano, Nuria Oliver:
DiffWire: Inductive Graph Rewiring via the Lovász Bound. LoG 2022: 15 - [c74]Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann, Nuria Oliver:
OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters. NeurIPS 2022 - [i3]Adrián Arnaiz-Rodríguez, Ahmed Begga, Francisco Escolano, Nuria Oliver:
DiffWire: Inductive Graph Rewiring via the Lovász Bound. CoRR abs/2206.07369 (2022) - [i2]Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann, Nuria Oliver:
OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters. CoRR abs/2207.12319 (2022) - 2021
- [j29]Miguel Angel Lozano, Francisco Escolano, Manuel Curado, Edwin R. Hancock:
Network embedding from the line graph: Random walkers and boosted classification. Pattern Recognit. Lett. 143: 36-42 (2021) - [c73]Miguel Angel Lozano, Òscar Garibo i Orts, Eloy Piñol, Miguel Rebollo, Kristina Polotskaya, Miguel Ángel García-March, J. Alberto Conejero, Francisco Escolano, Nuria Oliver:
Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge. ECML/PKDD (4) 2021: 384-399 - 2020
- [j28]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor. Entropy 22(4): 465 (2020) - [j27]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Seeking affinity structure: Strategies for improving m-best graph matching. Inf. Sci. 509: 164-182 (2020) - [j26]Juan Manuel Sáez, Miguel Angel Lozano, Francisco Escolano, Javier Pita Lozano:
An efficient, dense and long-range marker system for the guidance of the visually impaired. Mach. Vis. Appl. 31(7): 57 (2020) - [c72]Manuele Bicego, Francisco Escolano:
On learning Random Forests for Random Forest-clustering. ICPR 2020: 3451-3458 - [c71]Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks. S+SSPR 2020: 195-204
2010 – 2019
- 2019
- [j25]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Dirichlet densifiers for improved commute times estimation. Pattern Recognit. 91: 56-68 (2019) - [j24]Manuel Curado, Miguel Angel Lozano, Francisco Escolano, Edwin R. Hancock:
Dirichlet densifier bounds: Densifying beyond the spectral gap constraint. Pattern Recognit. Lett. 125: 425-431 (2019) - [c70]Miguel Angel Lozano, Manuel Curado, Francisco Escolano, Edwin R. Hancock:
Network Embedding by Walking on the Line Graph. GbRPR 2019: 215-225 - 2018
- [c69]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin Robert Hancock:
net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking. ICPR 2018: 1366-1371 - [c68]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Semi-supervised Graph Rewiring with the Dirichlet Principle. ICPR 2018: 2172-2177 - [c67]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Dirichlet Densifiers: Beyond Constraining the Spectral Gap. S+SSPR 2018: 512-521 - 2017
- [j23]Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano, Manuel Curado:
The mutual information between graphs. Pattern Recognit. Lett. 87: 12-19 (2017) - [j22]Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Graph Similarity through Entropic Manifold Alignment. SIAM J. Imaging Sci. 10(2): 942-978 (2017) - [c66]Francisco Escolano, Edwin R. Hancock:
Bragg Diffraction Patterns as Graph Characteristics. EMMCVPR 2017: 62-75 - [c65]Francisco Escolano, Manuel Curado, Silvia Biasotti, Edwin R. Hancock:
Shape Simplification Through Graph Sparsification. GbRPR 2017: 13-22 - [c64]Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo:
On the Interplay Between Strong Regularity and Graph Densification. GbRPR 2017: 165-174 - [i1]Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo:
On the Interplay between Strong Regularity and Graph Densification. CoRR abs/1703.07107 (2017) - 2016
- [j21]Lu Bai, Francisco Escolano, Edwin R. Hancock:
Depth-based hypergraph complexity traces from directed line graphs. Pattern Recognit. 54: 229-240 (2016) - [c63]Lu Bai, Lixin Cui, Francisco Escolano, Edwin R. Hancock:
An edge-based matching kernel on commute-time spanning trees. ICPR 2016: 2103-2108 - [c62]Francisco Escolano, Manuel Curado, Miguel Angel Lozano, Edwin R. Hancock:
Dirichlet Graph Densifiers. S+SSPR 2016: 185-195 - [c61]Francisco Escolano, Manuel Curado, Edwin R. Hancock:
Commute Times in Dense Graphs. S+SSPR 2016: 241-251 - [e5]Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard C. Wilson:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings. Lecture Notes in Computer Science 10029, 2016, ISBN 978-3-319-49054-0 [contents] - 2015
- [j20]Ankit Chaudhary, Francisco Escolano, Anand Bhojan:
Introduction to the Special issue on "Future trends in robotics and autonomous techniques". Comput. Electr. Eng. 43: 215-217 (2015) - [j19]Rebeca Marfil, Jorge Dias, Francisco Escolano:
Recognition and action for scene understanding. Neurocomputing 161: 1-2 (2015) - [j18]Juan Manuel Sáez, Francisco Escolano, Miguel Angel Lozano:
Aerial Obstacle Detection With 3-D Mobile Devices. IEEE J. Biomed. Health Informatics 19(1): 74-80 (2015) - [c60]Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Skeletal Graphs from Schrödinger Magnitude and Phase. GbRPR 2015: 335-344 - [c59]Manuel Curado, Francisco Escolano, Edwin R. Hancock, Farshad Nourbakhsh, Marcello Pelillo:
Similarity Analysis from Limiting Quantum Walks. SIMBAD 2015: 38-53 - 2014
- [c58]Francisco Escolano, Edwin R. Hancock:
The Mutual Information between Graphs. ICPR 2014: 94-99 - [c57]Lu Bai, Edwin R. Hancock, Peng Ren, Francisco Escolano:
Directed Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs. ICPR 2014: 3874-3879 - [c56]Francisco Escolano, Boyan Bonev, Edwin R. Hancock:
Quantum vs Classical Ranking in Segment Grouping. S+SSPR 2014: 203-212 - [e4]Pasi Fränti, Gavin Brown, Marco Loog, Francisco Escolano, Marcello Pelillo:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014. Proceedings. Lecture Notes in Computer Science 8621, Springer 2014, ISBN 978-3-662-44414-6 [contents] - 2013
- [j17]Boyan Bonev, Francisco Escolano, Daniela Giorgi, Silvia Biasotti:
Information-theoretic selection of high-dimensional spectral features for structural recognition. Comput. Vis. Image Underst. 117(3): 214-228 (2013) - [j16]Miguel Angel Lozano, Francisco Escolano:
Graph matching and clustering using kernel attributes. Neurocomputing 113: 177-194 (2013) - [j15]Antonio Bandera Rubio, Jorge Dias, Francisco Escolano:
Scene understanding and behaviour analysis. Pattern Recognit. Lett. 34(7): 711-712 (2013) - [j14]Boyan Bonev, Lewis L. Chuang, Francisco Escolano:
How do image complexity, task demands and looking biases influence human gaze behavior? Pattern Recognit. Lett. 34(7): 723-730 (2013) - [c55]Francisco Escolano, Edwin R. Hancock, Silvia Biasotti:
Complexity Fusion for Indexing Reeb Digraphs. CAIP (1) 2013: 120-127 - [c54]Francisco Escolano, Edwin R. Hancock, Boyan Bonev, Miguel Angel Lozano:
TurboTensors for Entropic Image Comparison. GbRPR 2013: 51-60 - [c53]Pablo Suau, Edwin R. Hancock, Francisco Escolano:
Graph Characteristics from the Schrödinger Operator. GbRPR 2013: 172-181 - [c52]Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano:
Information-Theoretic Dissimilarities for Graphs. SIMBAD 2013: 90-105 - [c51]Pablo Suau, Edwin R. Hancock, Francisco Escolano:
Analysis of the Schrödinger Operator in the Context of Graph Characterization. SIMBAD 2013: 190-203 - 2012
- [j13]Lin Han, Francisco Escolano, Edwin R. Hancock, Richard C. Wilson:
Graph characterizations from von Neumann entropy. Pattern Recognit. Lett. 33(15): 1958-1967 (2012) - [j12]Antonio Peñalver Benavent, Francisco Escolano:
Entropy-Based Incremental Variational Bayes Learning of Gaussian Mixtures. IEEE Trans. Neural Networks Learn. Syst. 23(3): 534-540 (2012) - [c50]Francisco Escolano, Boyan Bonev, Edwin R. Hancock:
Heat Flow-Thermodynamic Depth Complexity in Directed Networks. SSPR/SPR 2012: 190-198 - 2011
- [j11]Juan Manuel Sáez, Francisco Escolano:
6DOF entropy minimization SLAM for stereo-based wearable devices. Comput. Vis. Image Underst. 115(2): 270-285 (2011) - [j10]Edwin R. Hancock, Andrea Torsello, Francisco Escolano, Luc Brun:
Special issue on Graph-Based Representations in Computer Vision. Comput. Vis. Image Underst. 115(7): 903-904 (2011) - [c49]Francisco Escolano, Edwin R. Hancock:
From Points to Nodes: Inverse Graph Embedding through a Lagrangian Formulation. CAIP (1) 2011: 194-201 - [c48]Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Graph matching through entropic manifold alignment. CVPR 2011: 2417-2424 - [c47]Francisco Escolano, Boyan Bonev, Miguel Angel Lozano:
Information-Geometric Graph Indexing from Bags of Partial Node Coverages. GbRPR 2011: 52-61 - [c46]Francisco Escolano, Meizhu Liu, Edwin R. Hancock:
Tensor-based total bregman divergences between graphs. ICCV Workshops 2011: 1440-1447 - 2010
- [c45]Francisco Escolano, Miguel Angel Lozano, Boyan Bonev, Pablo Suau:
Bypass information-theoretic shape similarity from non-rigid points-based alignment. CVPR Workshops 2010: 37-44 - [c44]Pablo Suau, Francisco Escolano:
Entropy Estimation and Multi-Dimensional Scale Saliency. ICPR 2010: 678-681 - [c43]Boyan Bonev, Francisco Escolano, Daniela Giorgi, Silvia Biasotti:
Information-theoretic Feature Selection from Unattributed Graphs. ICPR 2010: 930-933 - [c42]Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Heat Flow-Thermodynamic Depth Complexity in Networks. ICPR 2010: 1578-1581 - [c41]Antonio Peñalver Benavent, Francisco Escolano, Boyan Bonev:
Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures. SSPR/SPR 2010: 100-108 - [c40]Boyan Bonev, Francisco Escolano, Daniela Giorgi, Silvia Biasotti:
High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs. SSPR/SPR 2010: 119-128 - [c39]Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock, Daniela Giorgi:
What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach. SSPR/SPR 2010: 286-295 - [c38]Pablo Suau, Francisco Escolano:
Analysis of the Multi-Dimensional Scale Saliency Algorithm and Its Application to Texture Categorization. SSPR/SPR 2010: 698-707 - [e3]Edwin R. Hancock, Richard C. Wilson, Terry Windeatt, Ilkay Ulusoy, Francisco Escolano:
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR&SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings. Lecture Notes in Computer Science 6218, Springer 2010, ISBN 978-3-642-14979-5 [contents]
2000 – 2009
- 2009
- [j9]Luc Brun, Francisco Escolano:
Preface. Image Vis. Comput. 27(7): 835-836 (2009) - [j8]Wendy Aguilar, Yann Frauel, Francisco Escolano, M. Elena Martínez-Pérez, Arturo Espinosa-Romero, Miguel Angel Lozano:
A robust Graph Transformation Matching for non-rigid registration. Image Vis. Comput. 27(7): 897-910 (2009) - [j7]Miguel Angel Lozano, Francisco Escolano, Boyan Bonev, Pablo Suau, Wendy Aguilar, Juan Manuel Sáez, Miguel Cazorla:
Region and constellations based categorization of images with unsupervised graph learning. Image Vis. Comput. 27(7): 960-978 (2009) - [j6]Antonio Peñalver Benavent, Francisco Escolano Ruiz, Juan Manuel Sáez:
Learning Gaussian Mixture Models With Entropy-Based Criteria. IEEE Trans. Neural Networks 20(11): 1756-1771 (2009) - [c37]Pablo Suau, Francisco Escolano:
A New Feasible Approach to Multi-dimensional Scale Saliency. ACIVS 2009: 77-88 - [c36]Francisco Escolano, Daniela Giorgi, Edwin R. Hancock, Miguel Angel Lozano, Bianca Falcidieno:
Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering. GbRPR 2009: 253-262 - [c35]Rebeca Marfil, Francisco Escolano, Antonio Bandera:
Graph-Based Representations in Pattern Recognition and Computational Intelligence. IWANN (1) 2009: 399-406 - [c34]Miguel Angel Lozano, Francisco Escolano:
Kernelization of Softassign and Motzkin-Strauss Algorithms. IWANN (1) 2009: 407-414 - [e2]Andrea Torsello, Francisco Escolano, Luc Brun:
Graph-Based Representations in Pattern Recognition, 7th IAPR-TC-15 International Workshop, GbRPR 2009, Venice, Italy, May 26-28, 2009. Proceedings. Lecture Notes in Computer Science 5534, Springer 2009, ISBN 978-3-642-02123-7 [contents] - 2008
- [j5]Pablo Suau, Francisco Escolano:
Bayesian optimization of the scale saliency filter. Image Vis. Comput. 26(9): 1207-1218 (2008) - [j4]Boyan Bonev, Francisco Escolano, Miguel Cazorla:
Feature selection, mutual information, and the classification of high-dimensional patterns. Pattern Anal. Appl. 11(3-4): 309-319 (2008) - [c33]Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Birkhoff polytopes, heat kernels and graph complexity. ICPR 2008: 1-5 - [c32]Pablo Suau, Francisco Escolano:
Multi-dimensional Scale Saliency Feature Extraction Based on Entropic Graphs. ISVC (2) 2008: 170-180 - [c31]Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Polytopal Graph Complexity, Matrix Permanents, and Embedding. SSPR/SPR 2008: 237-246 - 2007
- [c30]Wendy Aguilar, M. Elena Martínez-Pérez, Yann Frauel, Francisco Escolano, Miguel Angel Lozano, Arturo Espinosa-Romero:
Graph-Based Methods for Retinal Mosaicing and Vascular Characterization. GbRPR 2007: 25-36 - [c29]Boyan Bonev, Francisco Escolano, Miguel Angel Lozano, Pablo Suau, Miguel Cazorla, Wendy Aguilar:
Constellations and the Unsupervised Learning of Graphs. GbRPR 2007: 340-350 - [c28]Pablo Suau, Francisco Escolano:
Exploiting Information Theory for Filtering the Kadir Scale-Saliency Detector. IbPRIA (2) 2007: 146-153 - [c27]Francisco Escolano, Boyan Bonev, Pablo Suau, Wendy Aguilar, Yann Frauel, Juan Manuel Sáez, Miguel Cazorla:
Contextual visual localization: cascaded submap classification, optimized saliency detection, and fast view matching. IROS 2007: 1715-1722 - [c26]Jose Pascual Roda, Juan Manuel Sáez, Francisco Escolano:
Ceiling mosaics through information-based SLAM. IROS 2007: 3898-3904 - [c25]Boyan Bonev, Francisco Escolano, Miguel Cazorla:
A Novel Information Theory Method for Filter Feature Selection. MICAI 2007: 431-440 - [e1]Francisco Escolano, Mario Vento:
Graph-Based Representations in Pattern Recognition, 6th IAPR-TC-15 International Workshop, GbRPR 2007, Alicante, Spain, June 11-13, 2007, Proceedings. Lecture Notes in Computer Science 4538, Springer 2007, ISBN 978-3-540-72902-0 [contents] - 2006
- [j3]Miguel Angel Lozano, Francisco Escolano:
Protein classification by matching and clustering surface graphs. Pattern Recognit. 39(4): 539-551 (2006) - [c24]Antonio Peñalver Benavent, Francisco Escolano, Juan Manuel Sáez:
Color Image Segmentation Through Unsupervised Gaussian Mixture Models. IBERAMIA-SBIA 2006: 149-158 - [c23]Antonio Peñalver Benavent, Francisco Escolano Ruiz, Juan Manuel Sáez:
EBEM: An Entropy-based EM Algorithm for Gaussian Mixture Models. ICPR (2) 2006: 451-455 - [c22]Juan Manuel Sáez, Francisco Escolano Ruiz:
6DOF Entropy Minimization SLAM. ICRA 2006: 1548-1555 - [c21]Juan Manuel Sáez, Andrew Hogue, Francisco Escolano Ruiz, Michael R. M. Jenkin:
Underwater 3D SLAM through Entropy Minimization. ICRA 2006: 3562-3567 - [c20]Antonio Peñalver Benavent, Francisco Escolano, Juan Manuel Sáez:
Two Entropy-Based Methods for Learning Unsupervised Gaussian Mixture Models. SSPR/SPR 2006: 649-657 - 2005
- [c19]Juan Manuel Sáez, Francisco Escolano, Antonio Peñalver Benavent:
First Steps towards Stereo-based 6DOF SLAM for the Visually Impaired. CVPR Workshops 2005: 23 - [c18]Miguel Angel Lozano, Francisco Escolano:
Protein Classification with Kernelized Softassign. GbRPR 2005: 332-341 - [c17]Miguel Angel Lozano, Francisco Escolano:
Local Entropic Graphs for Globally-Consistent Graph Matching. GbRPR 2005: 342-351 - [c16]Juan Manuel Sáez, Francisco Escolano Ruiz:
Entropy Minimization SLAM Using Stereo Vision. ICRA 2005: 36-43 - [c15]Diego Viejo, Juan Manuel Sáez, Miguel Ángel Cazorla Quevedo, Francisco Escolano:
Active stereo based compact mapping. IROS 2005: 529-534 - 2004
- [c14]Miguel Angel Lozano, Francisco Escolano:
Regularization Kernels and Softassign. CIARP 2004: 320-327 - [c13]Miguel Angel Lozano, Francisco Escolano:
Structural Recognition with Kernelized Softassign. IBERAMIA 2004: 626-635 - [c12]Juan Manuel Sáez, Francisco Escolano Ruiz:
A Global 3D Map-building Approach using Stereo Vision. ICRA 2004: 1197-1202 - [c11]Miguel Angel Lozano, Francisco Escolano:
A Significant Improvement of Softassign with Diffusion Kernels. SSPR/SPR 2004: 76-84 - 2003
- [j2]Miguel Cazorla, Francisco Escolano:
Two Bayesian methods for junction classification. IEEE Trans. Image Process. 12(3): 317-327 (2003) - [c10]Miguel Angel Lozano, Francisco Escolano:
Two New Scale-Adapted Texture Descriptors for Image Segmentation. CIARP 2003: 137-144 - [c9]Antonio Peñalver Benavent, Juan Manuel Sáez, Francisco Escolano:
An Entropy Maximization Approach to Optimal Model Selection in Gaussian Mixtures. CIARP 2003: 432-439 - [c8]Juan Manuel Sáez, Antonio Peñalver Benavent, Francisco Escolano:
Compact Mapping in Plane-Parallel Environments Using Stereo Vision. CIARP 2003: 659-666 - [c7]Miguel Angel Lozano, Francisco Escolano:
EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching. EMMCVPR 2003: 52-67 - [c6]Miguel Angel Lozano, Francisco Escolano:
ACM Attributed Graph Clustering for Learning Classes of Images. GbRPR 2003: 247-258 - 2002
- [j1]Miguel Cazorla, Francisco Escolano, Domingo Gallardo, Ramón Rizo:
Junction detection and grouping with probabilistic edge models and Bayesian A. Pattern Recognit. 35(9): 1869-1881 (2002) - [c5]Juan Manuel Sáez, Francisco Escolano:
Monte Carlo Localization in 3D Maps Using Stereo Vision. IBERAMIA 2002: 913-922 - [c4]Miguel Angel Lozano, Francisco Escolano:
Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching. IBERAMIA 2002: 933-942
1990 – 1999
- 1999
- [c3]Miguel Cazorla, Francisco Escolano, Domingo Gallardo, Ramón Rizo:
Bayesian Models for Finding and Grouping Junctions. EMMCVPR 1999: 70-82 - 1998
- [c2]Francisco Escolano, Miguel Cazorla, Domingo Gallardo, Faraón Llorens, Rosana Satorre, Ramón Rizo:
A Combined Probabilistic Framework for Learning Gestures and Actions. IEA/AIE (Vol. 2) 1998: 658-667 - 1997
- [c1]Francisco Escolano, Miguel Cazorla, Domingo Gallardo, Ramón Rizo:
Deformable Templates for Tracking and Analysis of Intravascular Ultrasound Sequences. EMMCVPR 1997: 521-534
Coauthor Index
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