Javier Marín

According to our database, Javier Marín authored at least 33 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

BackMov: Individualized Motion Capture-Based Test to Assess Low Back Pain Mobility Recovery after Treatment.

Fernando Villalba-Meneses, César Guevara, Paolo A. Velásquez-López, Isaac Arias-Serrano, Stephanie A. Guerrero-Ligña, Camila M. Valencia-Cevallos, Diego Almeida-Galárraga, Carolina Cadena-Morejón, Javier Marín, José J. Marín

Sensors, February, 2024

Classification of the Pathological Range of Motion in Low Back Pain Using Wearable Sensors and Machine Learning.

Fernando Villalba-Meneses, César Guevara, Alejandro B. Lojan, Mario G. Gualsaqui, Isaac Arias-Serrano, Paolo A. Velásquez-López, Diego Almeida-Galárraga, Andrés Tirado-Espín, Javier Marín, José J. Marín

Sensors, February, 2024

A New Framework for Evaluating Image Quality Including Deep Learning Task Performances as a Proxy.

Pau Gallés, Katalin Takáts, Miguel Hernández-Cabronero, David Berga, Luciano Pega, Laura Riordan-Chen, Clara Garcia, Guillermo Becker, Adan Garriga, Anica Bukva, Joan Serra-Sagristà, David Vilaseca, Javier Marín

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Hamiltonian Neural Networks for Robust Out-of-Time Credit Scoring.

Javier Marín

CoRR, 2024

Optimizing AI Reasoning: A Hamiltonian Dynamics Approach to Multi-Hop Question Answering.

Javier Marín

CoRR, 2024

Social Dynamics of Consumer Response: A Unified Framework Integrating Statistical Physics and Marketing Dynamics.

Javier Marín

CoRR, 2024

2023

KeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running Injuries.

Javier Rodríguez, Javier Marín, Ana C. Royo, Luis Padrón, Manuel Pérez Soto, José J. Marín

Sensors, December, 2023

QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution.

David Berga, Pau Gallés, Katalin Takáts, Eva Mohedano, Laura Riordan-Chen, Clara Garcia-Moll, David Vilaseca, Javier Marín

Remote. Sens., May, 2023

Bayesian Methods for Media Mix Modelling with shape and funnel effects.

Javier Marín

CoRR, 2023

Object Detection performance variation on compressed satellite image datasets with iquaflow.

Pau Gallés, Katalin Takáts, Javier Marín

CoRR, 2023

2022

An experimental study on Synthetic Tabular Data Evaluation.

Javier Marín

CoRR, 2022

IQUAFLOW: A new framework to measure image quality.

Pau Gallés, Katalin Takáts, Miguel Hernández-Cabronero, David Berga, Luciano Pega, Laura Riordan-Chen, Clara Garcia, Guillermo Becker, Adan Garriga, Anica Bukva, Joan Serra-Sagristà, David Vilaseca, Javier Marín

CoRR, 2022

2021

Forces: A Motion Capture-Based Ergonomic Method for the Today's World.

Javier Marín, José J. Marín

Sensors, 2021

SSSGAN: Satellite Style and Structure Generative Adversarial Networks.

Javier Marín, Sergio Escalera

Remote. Sens., 2021

Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images.

Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020

Gait Analysis in a Box: A System Based on Magnetometer-Free IMUs or Clusters of Optical Markers with Automatic Event Detection.

Javier Marín, Teresa Blanco, Juan de la Torre, José J. Marín

Sensors, 2020

2018

Using the Internet of Things to Support Emotional Health.

Jeanette Eriksson, Nancy L. Russo, Javier Marín

EAI Endorsed Trans. Ambient Syst., 2018

Small Steps: Improving Healthcare With Local Innovation.

Nancy L. Russo, Jeanette Eriksson, Sue Harden Mugelli, Javier Marín

Proceedings of the Social Transformation, 2018

Using Computer Vision to Study the Effects of BMI on Online Popularity and Weight-Based Homophily.

Enes Kocabey, Ferda Ofli, Javier Marín, Antonio Torralba, Ingmar Weber

Proceedings of the Social Informatics, 2018

2017

Octopus: A Design Methodology for Motion Capture Wearables.

Javier Marín, Teresa Blanco, José J. Marín

Sensors, 2017

Training my car to see using virtual worlds.

Antonio M. López, Gabriel Villalonga, Laura Sellart, Germán Ros, David Vázquez, Jiaolong Xu, Javier Marín, Azadeh Sadat Mozafari

Image Vis. Comput., 2017

Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media.

Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba, Ingmar Weber

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Aggregated channels network for real-time pedestrian detection.

Farzin Ghorban, Javier Marín, Yu Su, Alessandro Colombo, Anton Kummert

Proceedings of the Tenth International Conference on Machine Vision, 2017

Research Lines to Improve Access to Health Instrumentation Design.

Javier Marín, Teresa Blanco, José J. Marín

Proceedings of the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017) / The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2017) / Affiliated Workshops, 2017

Learning Cross-Modal Embeddings for Cooking Recipes and Food Images.

Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marín, Ferda Ofli, Ingmar Weber, Antonio Torralba

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2014

Learning a Part-Based Pedestrian Detector in a Virtual World.

Jiaolong Xu, David Vázquez, Antonio Manuel López Peña, Javier Marín, Daniel Ponsa

IEEE Trans. Intell. Transp. Syst., 2014

Occlusion Handling via Random Subspace Classifiers for Human Detection.

Javier Marín, David Vázquez, Antonio M. López, Jaume Amores, Ludmila I. Kuncheva

IEEE Trans. Cybern., 2014

Virtual and Real World Adaptationfor Pedestrian Detection.

David Vázquez, Antonio Manuel López Peña, Javier Marín, Daniel Ponsa, David Gerónimo Gómez

IEEE Trans. Pattern Anal. Mach. Intell., 2014

2013

Pedestrian Detection based on Local Experts.

Javier Marín

PhD thesis, 2013

Learning a multiview part-based model in virtual world for pedestrian detection.

Jiaolong Xu, David Vázquez, Antonio M. López, Javier Marín, Daniel Ponsa

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Random Forests of Local Experts for Pedestrian Detection.

Javier Marín, David Vázquez, Antonio M. López, Jaume Amores, Bastian Leibe

Proceedings of the IEEE International Conference on Computer Vision, 2013

2011

Virtual worlds and active learning for human detection.

David Vázquez, Antonio M. López, Daniel Ponsa, Javier Marín

Proceedings of the 13th International Conference on Multimodal Interfaces, 2011

2010

Learning appearance in virtual scenarios for pedestrian detection.

Javier Marín, David Vázquez, David Gerónimo, Antonio M. López

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010