Pablo Mesejo Santiago

37
Documents

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.

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Publications

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
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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
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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
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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
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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
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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
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Computer-Aided Classification of Gastrointestinal Lesions in Regular Colonoscopy

Pablo Mesejo , Daniel Pizarro , Armand Abergel , Olivier Rouquette , Sylvain Beorchia et al.

IEEE Transactions on Medical Imaging, 2016, 35 (9), pp.2051 - 2063. ⟨10.1109/TMI.2016.2547947⟩

Article dans une revue hal-01291797v2
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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. Warnking et 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
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Artificial Neuron–Glia Networks Learning Approach Based on Cooperative Coevolution

Pablo Mesejo , Óscar Ibáñez , Enrique Fernández-Blanco , Francisco Cedrón , Alejandro Pazos et al.

International Journal of Neural Systems, 2015, 25 (4), ⟨10.1142/S0129065715500124⟩

Article dans une revue hal-01221226v1
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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
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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
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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 Berto et al.

PLoS ONE, 2013, 8 (9), ⟨10.1371/journal.pone.0074481⟩

Article dans une revue hal-01221314v1
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Particle Swarm Optimization and Differential Evolution for model-based object detection

Roberto Ugolotti , Youssef S.G. Nashed , Pablo Mesejo , Spela Ivekovič , Luca Mussi et al.

Applied Soft Computing, 2013, 13 (6), pp.3092-3105. ⟨10.1016/j.asoc.2012.11.027⟩

Article dans une revue hal-01221292v1
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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 Alvarellos et al.

PLoS ONE, 2011, 6 (4), ⟨10.1371/journal.pone.0019109⟩

Article dans une revue hal-01221307v1
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization

Pablo Mesejo , Sandrine Saillet , Olivier David , Christian Bénar , Jan M. Warnking et 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
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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
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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
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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
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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
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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
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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
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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
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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
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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