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    Author information
    First name: Javier
    Last name: Marín
    DBLP: 05/8654
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    Below you find the publications which have been written by this author.

    Show item 1 to 14 of 14  
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    Journal article
    Farzin Ghorban, Javier Marín, Yu Su, Alessandro Colombo, Anton Kummert.
    Aggregated Channels Network for Real-Time Pedestrian Detection.
    CoRR 2018, Volume 0 (0) 2018
    Conference paper
    Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba 0001, Ingmar Weber.
    Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba 0001, Ingmar Weber.
    Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media.
    Proceedings of the Eleventh International Conference on Web and Social Media, ICWSM 2017, Montréal, Québec, Canada, May 15-18, 2017. 2017 (0) 2017
    Conference paper
    Javier Marín, Teresa Blanco, Jose J. Marin.
    Octopus: A Design Methodology for Motion Capture Wearables.
    Sensors 2017, Volume 17 (0) 2017
    Conference paper
    Javier Marín, Teresa Blanco, Jose J. Marin.
    Research Lines to Improve Access to Health Instrumentation Design.
    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 Worksh 2017 (0) 2017
    Conference paper
    Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marín, Ferda Ofli, Ingmar Weber, Antonio Torralba 0001.
    Learning Cross-Modal Embeddings for Cooking Recipes and Food Images.
    2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    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 Vision Comput. 2017, Volume 68 (0) 2017
    Conference paper
    David Vázquez, Antonio Manuel López, Javier Marín, Daniel Ponsa, David Gerónimo Gómez.
    Virtual and Real World Adaptationfor Pedestrian Detection.
    IEEE Trans. Pattern Anal. Mach. Intell. 2014, Volume 36 (0) 2014
    Conference paper
    Javier Marín, David Vázquez, Antonio M. López, Jaume Amores, Ludmila I. Kuncheva.
    Occlusion Handling via Random Subspace Classifiers for Human Detection.
    IEEE T. Cybernetics 2014, Volume 44 (0) 2014
    Conference paper
    Jiaolong Xu, David Vázquez, Antonio Manuel López, Javier Marín, Daniel Ponsa.
    Learning a Part-Based Pedestrian Detector in a Virtual World.
    IEEE Transactions on Intelligent Transportation Systems 2014, Volume 15 (0) 2014
    Conference paper
    Jiaolong Xu, David Vázquez, Antonio M. López, Javier Marín, Daniel Ponsa.
    Learning a multiview part-based model in virtual world for pedestrian detection.
    2013 IEEE Intelligent Vehicles Symposium (IV), Gold Coast City, Australia, June 23-26, 2013 2013 (0) 2013
    Conference paper
    Javier Marín, David Vázquez, Antonio M. López, Jaume Amores, Bastian Leibe.
    Random Forests of Local Experts for Pedestrian Detection.
    IEEE International Conference on Computer Vision, ICCV 2013, Sydney, Australia, December 1-8, 2013 2013 (0) 2013
    Conference paper
    David Vázquez, Antonio M. López, Daniel Ponsa, Javier Marín.
    Virtual worlds and active learning for human detection.
    Proceedings of the 13th International Conference on Multimodal Interfaces, ICMI 2011, Alicante, Spain, November 14-18, 2011 2011 (0) 2011
    Conference paper
    Javier Marín, David Vázquez, David Gerónimo, Antonio M. López.
    Learning appearance in virtual scenarios for pedestrian detection.
    The Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, CA, USA, 13-18 June 2010 2010 (0) 2010
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    Your query returned 14 matches in the database.