Francisco Escolano

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 32

Top Venues

Publications

Ahmed Begga, Miguel Angel Lozano, Francisco Escolano
HEX-GNN: Hierarchical EXpanders for Node Classification. CAEPIA (2024)
Adrián Arnaiz-Rodríguez, Francisco Escolano, Nuria Oliver
FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values. CoRR (2023)
Ahmed Begga, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters. CoRR (2023)
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)
Adrián Arnaiz-Rodríguez, Ahmed Begga, Francisco Escolano, Nuria Oliver
DiffWire: Inductive Graph Rewiring via the Lovász Bound. LoG (2022)
Piera Riccio, José Luis Oliver, Francisco Escolano, Nuria Oliver
Algorithmic Censorship of Art: A Proposed Research Agenda. ICCC (2022)
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)
Adrián Arnaiz-Rodríguez, Ahmed Begga, Francisco Escolano, Nuria Oliver
DiffWire: Inductive Graph Rewiring via the Lovász Bound. CoRR (2022)
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 (2022)
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 (2021)
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)
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) (2020)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Seeking affinity structure: Strategies for improving m-best graph matching. Inf. Sci. 509 (2020)
Manuele Bicego, Francisco Escolano
On learning Random Forests for Random Forest-clustering. ICPR (2020)
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) (2020)
Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks. S+SSPR (2020)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Dirichlet densifiers for improved commute times estimation. Pattern Recognit. 91 (2019)
Manuel Curado, Miguel Angel Lozano, Francisco Escolano, Edwin R. Hancock
Dirichlet densifier bounds: Densifying beyond the spectral gap constraint. Pattern Recognit. Lett. 125 (2019)
Miguel Angel Lozano, Manuel Curado, Francisco Escolano, Edwin R. Hancock
Network Embedding by Walking on the Line Graph. GbRPR (2019)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Semi-supervised Graph Rewiring with the Dirichlet Principle. ICPR (2018)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Dirichlet Densifiers: Beyond Constraining the Spectral Gap. S+SSPR (2018)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin Robert Hancock
net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking. ICPR (2018)
Francisco Escolano, Manuel Curado, Silvia Biasotti, Edwin R. Hancock
Shape Simplification Through Graph Sparsification. GbRPR (2017)
Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo
On the Interplay between Strong Regularity and Graph Densification. CoRR (2017)
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
Graph Similarity through Entropic Manifold Alignment. SIAM J. Imaging Sci. 10 (2) (2017)
Francisco Escolano, Edwin R. Hancock
Bragg Diffraction Patterns as Graph Characteristics. EMMCVPR (2017)
Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo
On the Interplay Between Strong Regularity and Graph Densification. GbRPR (2017)
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano, Manuel Curado
The mutual information between graphs. Pattern Recognit. Lett. 87 (2017)
Lu Bai, Francisco Escolano, Edwin R. Hancock
Depth-based hypergraph complexity traces from directed line graphs. Pattern Recognit. 54 (2016)
Francisco Escolano, Manuel Curado, Miguel Angel Lozano, Edwin R. Hancock
Dirichlet Graph Densifiers. S+SSPR (2016)
Lu Bai, Lixin Cui, Francisco Escolano, Edwin R. Hancock
An edge-based matching kernel on commute-time spanning trees. ICPR (2016)
Francisco Escolano, Manuel Curado, Edwin R. Hancock
Commute Times in Dense Graphs. S+SSPR (2016)
Ankit Chaudhary, Francisco Escolano, Anand Bhojan
Introduction to the Special issue on "Future trends in robotics and autonomous techniques". Comput. Electr. Eng. 43 (2015)
Juan Manuel Sáez, Francisco Escolano, Miguel Angel Lozano
Aerial Obstacle Detection With 3-D Mobile Devices. IEEE J. Biomed. Health Informatics 19 (1) (2015)
Manuel Curado, Francisco Escolano, Edwin R. Hancock, Farshad Nourbakhsh, Marcello Pelillo
Similarity Analysis from Limiting Quantum Walks. SIMBAD (2015)
Rebeca Marfil, Jorge Dias, Francisco Escolano
Recognition and action for scene understanding. Neurocomputing 161 (2015)
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
Skeletal Graphs from Schrödinger Magnitude and Phase. GbRPR (2015)
Francisco Escolano, Boyan Bonev, Edwin R. Hancock
Quantum vs Classical Ranking in Segment Grouping. S+SSPR (2014)
Francisco Escolano, Edwin R. Hancock
The Mutual Information between Graphs. ICPR (2014)
Lu Bai, Edwin R. Hancock, Peng Ren, Francisco Escolano
Directed Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs. ICPR (2014)
Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano
Information-Theoretic Dissimilarities for Graphs. SIMBAD (2013)
Boyan Bonev, L. L. Chuang, Francisco Escolano
How do image complexity, task demands and looking biases influence human gaze behavior? Pattern Recognit. Lett. 34 (7) (2013)
Francisco Escolano, Edwin R. Hancock, Boyan Bonev, Miguel Angel Lozano
TurboTensors for Entropic Image Comparison. GbRPR (2013)
Pablo Suau, Edwin R. Hancock, Francisco Escolano
Graph Characteristics from the Schrödinger Operator. GbRPR (2013)
Miguel Angel Lozano, Francisco Escolano
Graph matching and clustering using kernel attributes. Neurocomputing 113 (2013)
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) (2013)
Francisco Escolano, Edwin R. Hancock, Silvia Biasotti
Complexity Fusion for Indexing Reeb Digraphs. CAIP (1) (2013)
Pablo Suau, Edwin R. Hancock, Francisco Escolano
Analysis of the Schrödinger Operator in the Context of Graph Characterization. SIMBAD (2013)
Antonio Bandera Rubio, Jorge Dias, Francisco Escolano
Scene understanding and behaviour analysis. Pattern Recognit. Lett. 34 (7) (2013)
Antonio Peñalver Benavent, Francisco Escolano
Entropy-Based Incremental Variational Bayes Learning of Gaussian Mixtures. IEEE Trans. Neural Networks Learn. Syst. 23 (3) (2012)
Francisco Escolano, Boyan Bonev, Edwin R. Hancock
Heat Flow-Thermodynamic Depth Complexity in Directed Networks. SSPR/SPR (2012)
Lin Han, Francisco Escolano, Edwin R. Hancock, Richard C. Wilson
Graph characterizations from von Neumann entropy. Pattern Recognit. Lett. 33 (15) (2012)
Edwin R. Hancock, Andrea Torsello, Francisco Escolano, Luc Brun
Special issue on Graph-Based Representations in Computer Vision. Comput. Vis. Image Underst. 115 (7) (2011)
Juan Manuel Sáez, Francisco Escolano
6DOF entropy minimization SLAM for stereo-based wearable devices. Comput. Vis. Image Underst. 115 (2) (2011)
Francisco Escolano, Boyan Bonev, Miguel Angel Lozano
Information-Geometric Graph Indexing from Bags of Partial Node Coverages. GbRPR (2011)
Francisco Escolano, Edwin R. Hancock
From Points to Nodes: Inverse Graph Embedding through a Lagrangian Formulation. CAIP (1) (2011)
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
Graph matching through entropic manifold alignment. CVPR (2011)
Francisco Escolano, Meizhu Liu, Edwin R. Hancock
Tensor-based total bregman divergences between graphs. ICCV Workshops (2011)
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)
Antonio Peñalver Benavent, Francisco Escolano, Boyan Bonev
Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures. SSPR/SPR (2010)
Pablo Suau, Francisco Escolano
Entropy Estimation and Multi-Dimensional Scale Saliency. ICPR (2010)
Boyan Bonev, Francisco Escolano, Daniela Giorgi, Silvia Biasotti
Information-theoretic Feature Selection from Unattributed Graphs. ICPR (2010)
Boyan Bonev, Francisco Escolano, Daniela Giorgi, Silvia Biasotti
High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs. SSPR/SPR (2010)
Francisco Escolano, Miguel Angel Lozano, Boyan Bonev, Pablo Suau
Bypass information-theoretic shape similarity from non-rigid points-based alignment. CVPR Workshops (2010)
Pablo Suau, Francisco Escolano
Analysis of the Multi-Dimensional Scale Saliency Algorithm and Its Application to Texture Categorization. SSPR/SPR (2010)
Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Heat Flow-Thermodynamic Depth Complexity in Networks. ICPR (2010)
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) (2009)
Luc Brun, Francisco Escolano
Preface. Image Vis. Comput. 27 (7) (2009)
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) (2009)
Miguel Angel Lozano, Francisco Escolano
Kernelization of Softassign and Motzkin-Strauss Algorithms. IWANN (1) (2009)
Pablo Suau, Francisco Escolano
A New Feasible Approach to Multi-dimensional Scale Saliency. ACIVS (2009)
Francisco Escolano, Daniela Giorgi, Edwin R. Hancock, Miguel Angel Lozano, Bianca Falcidieno
Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering. GbRPR (2009)
Rebeca Marfil, Francisco Escolano, Antonio Bandera
Graph-Based Representations in Pattern Recognition and Computational Intelligence. IWANN (1) (2009)
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
Polytopal Graph Complexity, Matrix Permanents, and Embedding. SSPR/SPR (2008)
Pablo Suau, Francisco Escolano
Bayesian optimization of the scale saliency filter. Image Vis. Comput. 26 (9) (2008)
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
Birkhoff polytopes, heat kernels and graph complexity. ICPR (2008)
Boyan Bonev, Francisco Escolano, Miguel Cazorla
Feature selection, mutual information, and the classification of high-dimensional patterns. Pattern Anal. Appl. 11 (3-4) (2008)
Pablo Suau, Francisco Escolano
Multi-dimensional Scale Saliency Feature Extraction Based on Entropic Graphs. ISVC (2) (2008)
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)
Jose Pascual Roda, Juan Manuel Sáez, Francisco Escolano
Ceiling mosaics through information-based SLAM. IROS (2007)
Boyan Bonev, Francisco Escolano, Miguel Angel Lozano, Pablo Suau, Miguel Cazorla, Wendy Aguilar
Constellations and the Unsupervised Learning of Graphs. GbRPR (2007)
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)
Boyan Bonev, Francisco Escolano, Miguel Cazorla
A Novel Information Theory Method for Filter Feature Selection. MICAI (2007)
Pablo Suau, Francisco Escolano
Exploiting Information Theory for Filtering the Kadir Scale-Saliency Detector. IbPRIA (2) (2007)
Antonio Peñalver Benavent, Francisco Escolano, Juan Manuel Sáez
Color Image Segmentation Through Unsupervised Gaussian Mixture Models. IBERAMIA-SBIA (2006)
Antonio Peñalver Benavent, Francisco Escolano, Juan Manuel Sáez
Two Entropy-Based Methods for Learning Unsupervised Gaussian Mixture Models. SSPR/SPR (2006)
Miguel Angel Lozano, Francisco Escolano
Protein classification by matching and clustering surface graphs. Pattern Recognit. 39 (4) (2006)
Juan Manuel Sáez, Francisco Escolano, Antonio Peñalver Benavent
First Steps towards Stereo-based 6DOF SLAM for the Visually Impaired. CVPR Workshops (2005)
Miguel Angel Lozano, Francisco Escolano
Protein Classification with Kernelized Softassign. GbRPR (2005)
Miguel Angel Lozano, Francisco Escolano
Local Entropic Graphs for Globally-Consistent Graph Matching. GbRPR (2005)
Diego Viejo, Juan Manuel Sáez, Miguel Ángel Cazorla Quevedo, Francisco Escolano
Active stereo based compact mapping. IROS (2005)
Miguel Angel Lozano, Francisco Escolano
Structural Recognition with Kernelized Softassign. IBERAMIA (2004)
Miguel Angel Lozano, Francisco Escolano
Regularization Kernels and Softassign. CIARP (2004)
Miguel Angel Lozano, Francisco Escolano
A Significant Improvement of Softassign with Diffusion Kernels. SSPR/SPR (2004)
Miguel Angel Lozano, Francisco Escolano
Two New Scale-Adapted Texture Descriptors for Image Segmentation. CIARP (2003)
Miguel Cazorla, Francisco Escolano
Two Bayesian methods for junction classification. IEEE Trans. Image Process. 12 (3) (2003)
Miguel Angel Lozano, Francisco Escolano
ACM Attributed Graph Clustering for Learning Classes of Images. GbRPR (2003)
Antonio Peñalver Benavent, Juan Manuel Sáez, Francisco Escolano
An Entropy Maximization Approach to Optimal Model Selection in Gaussian Mixtures. CIARP (2003)
Juan Manuel Sáez, Antonio Peñalver Benavent, Francisco Escolano
Compact Mapping in Plane-Parallel Environments Using Stereo Vision. CIARP (2003)
Miguel Angel Lozano, Francisco Escolano
EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching. EMMCVPR (2003)

Francisco Escolano.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Francisco Escolano