Pablo Mesejo Santiago

36
Documents

Presentation

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

Image document

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
Conference papers hal-04873693 v1
Image document

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⟩
Conference papers hal-02882229 v4
Image document

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⟩
Conference papers hal-02054236 v1
Image document

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
Conference papers hal-02177151 v1
Image document

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
Conference papers hal-01950658 v1
Image document

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⟩
Conference papers hal-01851738 v1
Image document

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⟩
Conference papers hal-01851511 v1
Image document

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
Conference papers hal-01950659 v1
Image document

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⟩
Conference papers hal-01504847 v1
Image document

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⟩
Conference papers hal-01221126 v1
Image document

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⟩
Conference papers hal-01221343 v1
Image document

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⟩
Conference papers hal-01221328 v1
Image document

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⟩
Conference papers hal-01221602 v1
Image document

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⟩
Conference papers hal-01221570 v1
Image document

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
Conference papers hal-01221613 v1
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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⟩
Conference papers hal-01221512 v1
Image document

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⟩
Conference papers hal-01221660 v1
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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⟩
Conference papers hal-01221645 v1
Image document

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⟩
Journal articles hal-01754839 v1
Image document

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
Journal articles hal-02424740 v1
Image document

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⟩
Journal articles hal-01643775 v2
Image document

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
Journal articles hal-02424739 v1
Image document

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⟩
Journal articles hal-01282678 v1
Image document

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⟩
Journal articles hal-01291797 v2
Image document

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⟩
Journal articles hal-01221115 v2
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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⟩
Journal articles hal-01221226 v1
Image document

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⟩
Journal articles hal-01221316 v3
Image document

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)
Journal articles hal-01221335 v1
Image document

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⟩
Journal articles hal-01221314 v1
Image document

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⟩
Journal articles hal-01221292 v1
Image document

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
Journal articles hal-01221303 v1

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⟩
Journal articles hal-01221307 v1
Image document

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
Conference poster hal-01950660 v1