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Javier Marín
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2020 – today
- 2024
- [j15]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:
Classification of the Pathological Range of Motion in Low Back Pain Using Wearable Sensors and Machine Learning. Sensors 24(3): 831 (2024) - [j14]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:
BackMov: Individualized Motion Capture-Based Test to Assess Low Back Pain Mobility Recovery after Treatment. Sensors 24(3): 913 (2024) - [j13]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:
A New Framework for Evaluating Image Quality Including Deep Learning Task Performances as a Proxy. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3285-3296 (2024) - [i9]Javier Marín:
Social Dynamics of Consumer Response: A Unified Framework Integrating Statistical Physics and Marketing Dynamics. CoRR abs/2404.02175 (2024) - 2023
- [j12]David Berga, Pau Gallés, Katalin Takáts, Eva Mohedano, Laura Riordan-Chen, Clara Garcia-Moll, David Vilaseca, Javier Marín:
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution. Remote. Sens. 15(9): 2451 (2023) - [j11]Javier Rodríguez, Javier Marín, Ana C. Royo, Luis Padrón, Manuel Pérez Soto, José J. Marín:
KeepRunning: A MoCap-Based Rapid Test to Prevent Musculoskeletal Running Injuries. Sensors 23(23): 9336 (2023) - [i8]Pau Gallés, Katalin Takáts, Javier Marín:
Object Detection performance variation on compressed satellite image datasets with iquaflow. CoRR abs/2301.05892 (2023) - [i7]Javier Marín:
Bayesian Methods for Media Mix Modelling with shape and funnel effects. CoRR abs/2311.05587 (2023) - 2022
- [i6]David Berga, Pau Gallés, Katalin Takáts, Eva Mohedano, Laura Riordan-Chen, Clara Garcia-Moll, David Vilaseca, Javier Marín:
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution. CoRR abs/2210.06618 (2022) - [i5]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:
IQUAFLOW: A new framework to measure image quality. CoRR abs/2210.13269 (2022) - [i4]Javier Marín:
An experimental study on Synthetic Tabular Data Evaluation. CoRR abs/2211.10760 (2022) - 2021
- [j10]Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba:
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 187-203 (2021) - [j9]Javier Marín, Sergio Escalera:
SSSGAN: Satellite Style and Structure Generative Adversarial Networks. Remote. Sens. 13(19): 3984 (2021) - [j8]Javier Marín, José J. Marín:
Forces: A Motion Capture-Based Ergonomic Method for the Today's World. Sensors 21(15): 5139 (2021) - 2020
- [j7]Javier Marín, Teresa Blanco, Juan de la Torre, José J. Marín:
Gait Analysis in a Box: A System Based on Magnetometer-Free IMUs or Clusters of Optical Markers with Automatic Event Detection. Sensors 20(12): 3338 (2020)
2010 – 2019
- 2018
- [j6]Jeanette Eriksson, Nancy L. Russo, Javier Marín:
Using the Internet of Things to Support Emotional Health. EAI Endorsed Trans. Ambient Syst. 5(17): e1 (2018) - [c10]Enes Kocabey, Ferda Ofli, Javier Marín, Antonio Torralba, Ingmar Weber:
Using Computer Vision to Study the Effects of BMI on Online Popularity and Weight-Based Homophily. SocInfo (2) 2018: 129-138 - [c9]Nancy L. Russo, Jeanette Eriksson, Sue Harden Mugelli, Javier Marín:
Small Steps: Improving Healthcare With Local Innovation. UKAIS 2018: 23 - [i3]Farzin Ghorban, Javier Marín, Yu Su, Alessandro Colombo, Anton Kummert:
Aggregated Channels Network for Real-Time Pedestrian Detection. CoRR abs/1801.00476 (2018) - [i2]Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba:
Recipe1M: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. CoRR abs/1810.06553 (2018) - 2017
- [j5]Antonio M. López, Gabriel Villalonga, Laura Sellart, Germán Ros, David Vázquez, Jiaolong Xu, Javier Marín, Azadeh Sadat Mozafari:
Training my car to see using virtual worlds. Image Vis. Comput. 68: 102-118 (2017) - [j4]Javier Marín, Teresa Blanco, José J. Marín:
Octopus: A Design Methodology for Motion Capture Wearables. Sensors 17(8): 1875 (2017) - [c8]Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marín, Ferda Ofli, Ingmar Weber, Antonio Torralba:
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. CVPR 2017: 3068-3076 - [c7]Javier Marín, Teresa Blanco, José J. Marín:
Research Lines to Improve Access to Health Instrumentation Design. EUSPN/ICTH 2017: 641-646 - [c6]Farzin Ghorban, Javier Marín, Yu Su, Alessandro Colombo, Anton Kummert:
Aggregated channels network for real-time pedestrian detection. ICMV 2017: 106960I - [c5]Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba, Ingmar Weber:
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media. ICWSM 2017: 572-575 - [i1]Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba, Ingmar Weber:
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media. CoRR abs/1703.03156 (2017) - 2014
- [j3]David Vázquez, Antonio Manuel López Peña, Javier Marín, Daniel Ponsa, David Gerónimo Gómez:
Virtual and Real World Adaptationfor Pedestrian Detection. IEEE Trans. Pattern Anal. Mach. Intell. 36(4): 797-809 (2014) - [j2]Javier Marín, David Vázquez, Antonio M. López, Jaume Amores, Ludmila I. Kuncheva:
Occlusion Handling via Random Subspace Classifiers for Human Detection. IEEE Trans. Cybern. 44(3): 342-354 (2014) - [j1]Jiaolong Xu, David Vázquez, Antonio Manuel López Peña, Javier Marín, Daniel Ponsa:
Learning a Part-Based Pedestrian Detector in a Virtual World. IEEE Trans. Intell. Transp. Syst. 15(5): 2121-2131 (2014) - 2013
- [b1]Javier Marín:
Pedestrian Detection based on Local Experts. Autonomous University of Barcelona, Spain, 2013 - [c4]Javier Marín, David Vázquez, Antonio M. López, Jaume Amores, Bastian Leibe:
Random Forests of Local Experts for Pedestrian Detection. ICCV 2013: 2592-2599 - [c3]Jiaolong Xu, David Vázquez, Antonio M. López, Javier Marín, Daniel Ponsa:
Learning a multiview part-based model in virtual world for pedestrian detection. Intelligent Vehicles Symposium 2013: 467-472 - 2011
- [c2]David Vázquez, Antonio M. López, Daniel Ponsa, Javier Marín:
Virtual worlds and active learning for human detection. ICMI 2011: 393-400 - 2010
- [c1]Javier Marín, David Vázquez, David Gerónimo, Antonio M. López:
Learning appearance in virtual scenarios for pedestrian detection. CVPR 2010: 137-144
Coauthor Index
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last updated on 2024-08-05 21:19 CEST by the dblp team
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