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Pablo Mesejo Santiago

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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](http://www.shanghairanking.com/Shanghairanking-Subject-Rankings/computer-science-engineering.html). 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](https://scholar.google.com/citations?user=dUlIWxcAAAAJ), [ORCID](http://orcid.org/0000-0001-9955-2101), [Linkedin](https://fr.linkedin.com/pub/pablo-mesejo-santiago/54/348/71b/en), [DBLP](http://dblp.uni-trier.de/pers/hd/m/Mesejo:Pablo), [ResearchGate](https://www.researchgate.net/profile/Pablo_Mesejo) and [ResearcherID](http://www.researcherid.com/ProfileView.action?SID=V24kpAPPEKmBvYjOeqa&returnCode=ROUTER.Success&queryString=KG0UuZjN5WkwsNoH4O%252BEmmn%252FPULU3%252FDZxELZtBub7fk%253D&SrcApp=CR&Init=Yes).
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](http://www.shanghairanking.com/Shanghairanking-Subject-Rankings/computer-science-engineering.html). 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](https://scholar.google.com/citations?user=dUlIWxcAAAAJ), [ORCID](http://orcid.org/0000-0001-9955-2101), [Linkedin](https://fr.linkedin.com/pub/pablo-mesejo-santiago/54/348/71b/en), [DBLP](http://dblp.uni-trier.de/pers/hd/m/Mesejo:Pablo), [ResearchGate](https://www.researchgate.net/profile/Pablo_Mesejo) and [ResearcherID](http://www.researcherid.com/ProfileView.action?SID=V24kpAPPEKmBvYjOeqa&returnCode=ROUTER.Success&queryString=KG0UuZjN5WkwsNoH4O%252BEmmn%252FPULU3%252FDZxELZtBub7fk%253D&SrcApp=CR&Init=Yes).

Publications

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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⟩
Journal articles hal-01754839v1
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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⟩
Journal articles 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
Journal articles hal-02424739v1
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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
Journal articles hal-02424740v1
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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
IEEE Journal of Selected Topics in Signal Processing, 2016, 10 (2), pp.416-427. ⟨10.1109/JSTSP.2015.2502553⟩
Journal articles hal-01221115v2
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Computer-Aided Classification of Gastrointestinal Lesions in Regular Colonoscopy

Pablo Mesejo , Daniel Pizarro , Armand Abergel , Olivier Rouquette , Sylvain Beorchia
IEEE Transactions on Medical Imaging, 2016, 35 (9), pp.2051 - 2063. ⟨10.1109/TMI.2016.2547947⟩
Journal articles hal-01291797v2
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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⟩
Journal articles hal-01282678v1
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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⟩
Journal articles hal-01221316v3
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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
International Journal of Neural Systems, 2015, 25 (4), ⟨10.1142/S0129065715500124⟩
Journal articles hal-01221226v1
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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)
Journal articles hal-01221335v1
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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
Applied Soft Computing, 2013, 13 (6), pp.3092-3105. ⟨10.1016/j.asoc.2012.11.027⟩
Journal articles hal-01221292v1
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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
PLoS ONE, 2013, 8 (9), ⟨10.1371/journal.pone.0074481⟩
Journal articles hal-01221314v1
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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
Journal articles hal-01221303v1

Artificial Astrocytes Improve Neural Network Performance

Ana B. Porto-Pazos , Noha Veiguela , Pablo Mesejo , Marta Navarrete , Alberto Alvarellos
PLoS ONE, 2011, 6 (4), ⟨10.1371/journal.pone.0019109⟩
Journal articles hal-01221307v1
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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⟩
Conference papers 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
Conference papers 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⟩
Conference papers hal-02054236v1
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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
Conference papers 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
Conference papers hal-01950659v1
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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⟩
Conference papers hal-01851511v1
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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⟩
Conference papers hal-01851738v1
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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⟩
Conference papers 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
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-01221126v1
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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⟩
Conference papers hal-01221328v1
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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⟩
Conference papers hal-01221343v1
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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
Conference papers 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⟩
Conference papers hal-01221512v1
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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⟩
Conference papers hal-01221570v1
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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⟩
Conference papers hal-01221602v1
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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-01221645v1
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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⟩
Conference papers hal-01221660v1
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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
Conference poster hal-01950660v1