Pablo Mesejo Santiago

Présentation

My name is Pablo Mesejo Santiago and I currently hold a Marie Curie Experienced Researcher position at the University of Granada (Spain), one of the top institutions in computer science and engineering.

My principal research areas of interest are computer vision, machine learning and computational intelligence methods applied to image analysis problems (mainly in the biomedical domain). Typical tools I use in my research are stochastic optimization algorithms, deep and shallow neural networks, and ensemble classifiers. During my career I have tackled numerous challenging problems, e.g. the automatic segmentation of anatomical structures in biomedical images (PhD at University of Parma, performed as a Marie Curie Early Stage Researcher, 2010-13), the classification of gastrointestinal lesions from endoscopic videos (postdoc at University of Auvergne Clermont-Ferrand I, 2013-14), the estimation of biophysical parameters from fMRI signals (postdoc at Inria, 2014-16), and the integration of deep learning into probabilistic generative models for visual and audio recognition in human-robot interaction (starting researcher position at Inria, 2016-18).

More information about me and my publications can be found in the following links: Google Scholar, ORCID, Linkedin, DBLP, ResearchGate and ResearcherID.

Publications

Article dans une revue (15)

Don’t Forget Your Inverse DDIM for Image Editing Guillermo Gomez-Trenado,Pablo Mesejo,Oscar Cordón,Stéphane Lathuilière IEEE Computational Intelligence Magazine, 2025, 20 (3), pp.10-18. ⟨10.1109/MCI.2025.3563859⟩ Article dans une revue hal-05460458v1
A Comprehensive Analysis of Deep Regression Stéphane Lathuilière,Pablo Mesejo,Xavier Alameda-Pineda,Radu Horaud IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42 (9), pp.2065-2081. ⟨10.1109/TPAMI.2019.2910523⟩ Article dans une revue hal-01754839v1
Deep architectures for high-resolution multi-organ chest X-ray image segmentation Oscar Gómez,Pablo Mesejo,Oscar Ibáñez,Andrea Valsecchi,Oscar Cordón Neural Computing and Applications, 2019 Article dans une revue hal-02424739v1
Age Estimation in Forensic Anthropology: methodological considerations about the validation studies of prediction models Andrea Valsecchi,Javier Irurita Olivares,Pablo Mesejo International Journal of Legal Medicine, 2019, 133, pp.1915-1924 Article dans une revue hal-02424740v1
Neural Network Based Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction Stéphane Lathuilière,Benoît Massé,Pablo Mesejo,Radu Horaud Pattern Recognition Letters, 2019, 118, pp.61-71. ⟨10.1016/j.patrec.2018.05.023⟩ Article dans une revue hal-01643775v2
A Survey on Image Segmentation using Metaheuristic-based Deformable Models: State of the Art and Critical Analysis Pablo Mesejo,Oscar Ibáñez,Oscar Cordón,Stefano Cagnoni Applied Soft Computing, 2016, 44, pp.1-29. ⟨10.1016/j.asoc.2016.03.004⟩ Article dans une revue hal-01282678v1
Computer-Aided Classification of Gastrointestinal Lesions in Regular Colonoscopy Pablo Mesejo,Daniel Pizarro,Armand Abergel,Olivier Rouquette,Sylvain Beorchiaet al. IEEE Transactions on Medical Imaging, 2016, 35 (9), pp.2051 - 2063. ⟨10.1109/TMI.2016.2547947⟩ Article dans une revue hal-01291797v2
A differential evolution-based approach for fitting a nonlinear biophysical model to fMRI BOLD data Pablo Mesejo,Sandrine Saillet,Olivier David,Christian Bénar,Jan M. Warnkinget al. IEEE Journal of Selected Topics in Signal Processing, 2016, 10 (2), pp.416-427. ⟨10.1109/JSTSP.2015.2502553⟩ Article dans une revue hal-01221115v2
Biomedical image segmentation using geometric deformable models and metaheuristics Pablo Mesejo,Andrea Valsecchi,Linda Marrakchi-Kacem,Stefano Cagnoni,Sergio Damas Computerized Medical Imaging and Graphics, 2015, 43, pp.167-178. ⟨10.1016/j.compmedimag.2013.12.005⟩ Article dans une revue hal-01221316v3
Artificial Neuron–Glia Networks Learning Approach Based on Cooperative Coevolution Pablo Mesejo,Óscar Ibáñez,Enrique Fernández-Blanco,Francisco Cedrón,Alejandro Pazoset al. International Journal of Neural Systems, 2015, 25 (4), ⟨10.1142/S0129065715500124⟩ Article dans une revue hal-01221226v1
Automatic Segmentation of Anatomical Structures using Deformable Models and Bio-Inspired/Soft Computing Pablo Mesejo Electronic Letters on Computer Vision and Image Analysis, 2014, 13 (2) Article dans une revue hal-01221335v1
Particle Swarm Optimization and Differential Evolution for model-based object detection Roberto Ugolotti,Youssef S.G. Nashed,Pablo Mesejo,Spela Ivekovič,Luca Mussiet al. Applied Soft Computing, 2013, 13 (6), pp.3092-3105. ⟨10.1016/j.asoc.2012.11.027⟩ Article dans une revue hal-01221292v1
Visual Search of Neuropil-Enriched RNAs from Brain In Situ Hybridization Data through the Image Analysis Pipeline Hippo-ATESC Roberto Ugolotti,Pablo Mesejo,Samantha Zongaro,Barbara Bardoni,Gaia Bertoet al. PLoS ONE, 2013, 8 (9), ⟨10.1371/journal.pone.0074481⟩ Article dans une revue hal-01221314v1
Automatic Hippocampus Localization in Histological Images using Differential Evolution-Based Deformable Pablo Mesejo,Roberto Ugolotti,Ferdinando Di Cunto,Mario Giacobini,Stefano Cagnoni Pattern Recognition Letters, 2012, 34 (3), pp.299-307 Article dans une revue hal-01221303v1
Artificial Astrocytes Improve Neural Network Performance Ana B. Porto-Pazos,Noha Veiguela,Pablo Mesejo,Marta Navarrete,Alberto Alvarelloset al. PLoS ONE, 2011, 6 (4), ⟨10.1371/journal.pone.0019109⟩ Article dans une revue hal-01221307v1

Communication dans un congrès (18)

Learning to Reason with Transformers via Search Inductive Biases: A Proposal Carlos Núñez-Molina,Israel Puerta-Merino,Pablo Mesejo,Juan Fernández-Olivares AAAI25 Workshop on Planning in the Era of LLMs (LM4Plan), Association for the Advancement of Artificial Intelligence (AAAI), Feb 2025, Philadelphia (Pennsylvania), United States Communication dans un congrès hal-04873693v1
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset Sylvain Guy,Stéphane Lathuilière,Pablo Mesejo,Radu Horaud ICPR 2020 - 25th International Conference on Pattern Recognition, Jan 2021, Milano, Italy. pp.4851-4856, ⟨10.1109/ICPR48806.2021.9412884⟩ Communication dans un congrès hal-02882229v4
Understanding Priors in Bayesian Neural Networks at the Unit Level Mariia Vladimirova,Jakob Verbeek,Pablo Mesejo,Julyan Arbel ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.6458-6467 Communication dans un congrès hal-02177151v1
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View Benoit Massé,Stéphane Lathuilière,Pablo Mesejo,Radu Horaud FG 2019 - 14th IEEE International Conference on Automatic Face and Gesture Recognition, May 2019, Lille, France. pp.1-8, ⟨10.1109/FG.2019.8756555⟩ Communication dans un congrès hal-02054236v1
Deep Reinforcement Learning for Audio-Visual Gaze Control Stéphane Lathuilière,Benoit Massé,Pablo Mesejo,Radu Horaud IROS 2018 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2018, Madrid, Spain. pp.1555-1562, ⟨10.1109/IROS.2018.8594327⟩ Communication dans un congrès hal-01851738v1
Bayesian neural networks become heavier-tailed with depth Mariia Vladimirova,Julyan Arbel,Pablo Mesejo NeurIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Dec 2018, Montréal, Canada. pp.1-7 Communication dans un congrès hal-01950658v1
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model Stéphane Lathuilière,Pablo Mesejo,Xavier Alameda-Pineda,Radu Horaud ECCV 2018 - European Conference on Computer Vision, Sep 2018, Munich, Germany. pp.205-221, ⟨10.1007/978-3-030-01228-1_13⟩ Communication dans un congrès hal-01851511v1
Bayesian neural network priors at the level of units Mariia Vladimirova,Julyan Arbel,Pablo Mesejo AABI 2018 - 1st Symposium on Advances in Approximate Bayesian Inference, Dec 2018, Montréal, Canada. pp.1-6 Communication dans un congrès hal-01950659v1
Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation Stéphane Lathuilière,Rémi Juge,Pablo Mesejo,Rafael Muñoz-Salinas,Radu Horaud IEEE Conference on Computer Vision and Pattern Recognition, Jul 2017, Honolulu, Hawaii, United States. pp.7149-7157, ⟨10.1109/CVPR.2017.756⟩ Communication dans un congrès hal-01504847v1
Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization Pablo Mesejo,Sandrine Saillet,Olivier David,Christian Bénar,Jan M. Warnkinget al. 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’15), Oct 2015, Munich, Germany. pp.528-535, ⟨10.1007/978-3-319-24571-3_63⟩ Communication dans un congrès hal-01221126v1
Automatic evolutionary medical image segmentation using deformable models Andrea Valsecchi,Pablo Mesejo,Linda Marrakchi-Kacem,Stefano Cagnoni,Sergio Damas 16th IEEE Congress on Evolutionary Computation (CEC’14), Jul 2014, Beijing, China. pp.97-104, ⟨10.1109/CEC.2014.6900466⟩ Communication dans un congrès hal-01221343v1
An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions Toby Collins,Pablo Mesejo,Adrien Bartoli 13th European Conference on Computer Vision (ECCV’14), Sep 2014, Zurich, Switzerland. pp.138-153, ⟨10.1007/978-3-319-10584-0_10⟩ Communication dans un congrès hal-01221328v1
GPU-Based Automatic Configuration of Differential Evolution: A Case Study Roberto Ugolotti,Pablo Mesejo,Youssef S.G. Nashed,Stefano Cagnoni 16th Portuguese Conference on Artificial Intelligence, EPIA 2013, Sep 2013, Azores, Portugal. pp.114-125, ⟨10.1007/978-3-642-40669-0_11⟩ Communication dans un congrès hal-01221512v1
Segmentation of histological images using a metaheuristic-based level set approach Pablo Mesejo,Stefano Cagnoni,Alessandro Costalunga,Davide Valeriani 15th Genetic and Evolutionary Computation Conference companion (GECCO’13), Jul 2013, Amsterdam, Netherlands. pp.1455-1462, ⟨10.1145/2464576.2466808⟩ Communication dans un congrès hal-01221602v1
Algorithm configuration using GPU-based metaheuristics Roberto Ugolotti,Youssef S.G. Nashed,Pablo Mesejo,Stefano Cagnoni 15th Genetic and Evolutionary Computation Conference companion (GECCO’13), Jul 2013, Amsterdam, Netherlands. pp.221-222, ⟨10.1145/2464576.2464682⟩ Communication dans un congrès hal-01221570v1
An experimental study on the automatic segmentation of in situ hybridization-derived images Pablo Mesejo,Stefano Cagnoni 1st International Conference on Medical Imaging using Bio-Inspired and Soft Computing (MIBISOC’13), May 2013, Brussels, Belgium. pp.153-160 Communication dans un congrès hal-01221613v1
A Comparative Study of Three GPU-Based Metaheuristics Youssef S.G. Nashed,Pablo Mesejo,Roberto Ugolotti,Jérémie Dubois-Lacoste,Stefano Cagnoni 12th International Conference on Parallel Problem Solving from Nature (PPSN’12), Sep 2012, Taormina, Italy. pp.398-407, ⟨10.1007/978-3-642-32964-7_40⟩ Communication dans un congrès hal-01221645v1
Automatic segmentation of hippocampus in histological images of mouse brains using deformable models and random forest Pablo Mesejo,Roberto Ugolotti,Ferdinando Di Cunto,Stefano Cagnoni,Mario Giacobini 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS’12), Jun 2012, Rome, Italy. pp.1-4, ⟨10.1109/CBMS.2012.6266318⟩ Communication dans un congrès hal-01221660v1

Poster de conférence (1)

Bayesian neural network priors at the level of units Mariia Vladimirova,Julyan Arbel,Pablo Mesejo Bayesian Statistics in the Big Data Era, Nov 2018, Marseille, France. pp.1 Poster de conférence hal-01950660v1

Chapitre d'ouvrage (1)

Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics Carlos Fernandez-Lozano,Jose A. Seoane,Pablo Mesejo,Youssef S.G. Nashed,Stefano Cagnoniet al. Biomedical Engineering Systems and Technologies, 452, pp.117-130, 2014, 978-3-662-44485-6. ⟨10.1007/978-3-662-44485-6_9⟩ Chapitre d'ouvrage hal-01221496v1

Pré-publication, Document de travail (1)

Bayesian neural networks increasingly sparsify their units with depth Mariia Vladimirova,Julyan Arbel,Pablo Mesejo 2018 Pré-publication, Document de travail hal-01950657v1

Thèse (1)

AUTOMATIC SEGMENTATION OF ANATOMICAL STRUCTURES USING DEFORMABLE MODELS AND BIO-INSPIRED/SOFT COMPUTING Pablo Mesejo Artificial Intelligence [cs.AI]. University of Parma, 2014. English. ⟨NNT : ⟩ Thèse tel-01363683v1