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  1. No Access

    Chapter and Conference Paper

    Expressive Telepresence via Modular Codec Avatars

    VR telepresence consists of interacting with another human in a virtual space represented by an avatar. Today most avatars are cartoon-like, but soon the technology will allow video-realistic ones. This paper ...

    Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler in Computer Vision – ECCV 2020 (2020)

  2. No Access

    Chapter and Conference Paper

    3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning

    3D human shape and pose estimation from monocular images has been an active area of research in computer vision, having a substantial impact on the development of new applications, from activity recognition t...

    **angyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni in Computer Vision – ECCV 2020 (2020)

  3. Article

    Open Access

    Characteristics, quality of life and control of respiratory allergic diseases caused by house dust mites (HDMs) in Spain: a cross-sectional study

    This multicentre, cross-sectional study conducted in Spain assessed the clinical characteristics and quality of life of patients who were aged 14–55 years and had allergic rhinitis and/or asthma, which was due...

    Beristain Ana, Fernando de la Torre in Clinical and Translational Allergy (2019)

  4. Article

    Editorial: Special Issue on Deep Learning for Face Analysis

    Chen Change Loy, **aoming Liu, Tae-Kyun Kim in International Journal of Computer Vision (2019)

  5. No Access

    Chapter

    NAC Transcription Factors in Woody Plants

    NAC proteins are a family of plant-specific transcription factors (TFs) that are involved in the regulation of diverse biological processes, including stress tolerance, the formation and differentiation of vas...

    Mª Belén Pascual, Fernando de la Torre, Rafael A. Cañas in Progress in Botany Vol. 80 (2019)

  6. No Access

    Article

    A Branch-and-Bound Framework for Unsupervised Common Event Discovery

    Event discovery aims to discover a temporal segment of interest, such as human behavior, actions or activities. Most approaches to event discovery within or between time series use supervised learning. This be...

    Wen-Sheng Chu, Fernando De la Torre in International Journal of Computer Vision (2017)

  7. No Access

    Article

    Subspace Procrustes Analysis

    Procrustes analysis (PA) has been a popular technique to align and build 2-D statistical models of shapes. Given a set of 2-D shapes PA is applied to remove rigid transformations. Later, a non-rigid 2-D model ...

    Xavier Perez-Sala, Fernando De la Torre in International Journal of Computer Vision (2017)

  8. Article

    Open Access

    Clinical management, expectations, and satisfaction of patients with moderate to severe allergic rhinoconjunctivitis treated with SQ-standardized grass-allergen tablet under routine clinical practice conditions in Spain

    Sublingual immunotherapy has been proven as a well-tolerated and effective treatment for allergic rhinitis. Within this type of treatment, GRAZAX® is the most documented product in terms of safety and efficacy. T...

    Tomás Chivato, Pedro Álvarez-Calderón, Carmen Panizo in Clinical and Molecular Allergy (2017)

  9. Article

    Open Access

    Influence of profilin on sensitisation profiles determined by cutaneous tests and IgE to major allergens in polysensitised patients

    Profilin sensitisation is considered a diagnostic confounding factor in areas where patients are exposed to multiple pollens. The aim of this study is to assess pollen sensitisation profiles in adults and chil...

    Nieves Segura, Teresa Abos, José A. Compaired in Clinical and Translational Allergy (2016)

  10. Article

    Spontaneous facial expression in unscripted social interactions can be measured automatically

    Methods to assess individual facial actions have potential to shed light on important behavioral phenomena ranging from emotion and social interaction to psychological disorders and health. However, manual cod...

    Jeffrey M. Girard, Jeffrey F. Cohn, Laszlo A. Jeni in Behavior Research Methods (2015)

  11. No Access

    Chapter and Conference Paper

    Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization

    Activity recognition in video has become increasingly important due to its many applications ranging from in-home elder care, surveillance, human computer interaction to automatic sports commentary. To date, m...

    Ehsan Adeli Mosabbeb, Ricardo Cabral, Fernando De la Torre in Computer Vision -- ACCV 2014 (2015)

  12. Chapter and Conference Paper

    Subspace Procrustes Analysis

    Procrustes Analysis (PA) has been a popular technique to align and build \(2\) -D statistical models of shap...

    Xavier Perez-Sala, Fernando De la Torre in Computer Vision - ECCV 2014 Workshops (2015)

  13. No Access

    Article

    Multiple instance learning via Gaussian processes

    Multiple instance learning (MIL) is a binary classification problem with loosely supervised data where a class label is assigned only to a bag of instances indicating presence/absence of positive instances. In...

    Minyoung Kim, Fernando De la Torre in Data Mining and Knowledge Discovery (2014)

  14. No Access

    Article

    Max-Margin Early Event Detectors

    The need for early detection of temporal events from sequential data arises in a wide spectrum of applications ranging from human-robot interaction to video security. While temporal event detection has been ex...

    Minh Hoai, Fernando De la Torre in International Journal of Computer Vision (2014)

  15. Chapter and Conference Paper

    SPARK: Personalized Parkinson Disease Interventions through Synergy between a Smartphone and a Smartwatch

    Parkinson disease (PD) is a neurodegenerative disorder afflicting more than 1 million aging Americans, incurring $23 billion in annual medical costs in the U.S. alone. Approximately 90% Parkinson patients unde...

    Vinod Sharma, Kunal Mankodiya in Design, User Experience, and Usability. Us… (2014)

  16. Chapter and Conference Paper

    Spatio-temporal Matching for Human Detection in Video

    Detection and tracking humans in videos have been long-standing problems in computer vision. Most successful approaches (e.g., deformable parts models) heavily rely on discriminative models to build appearance de...

    Feng Zhou, Fernando De la Torre in Computer Vision – ECCV 2014 (2014)

  17. Chapter and Conference Paper

    Motion Words for Videos

    In the task of activity recognition in videos, computing the video representation often involves pooling feature vectors over spatially local neighborhoods. The pooling is done over the entire video, over coar...

    Ekaterina H. Taralova, Fernando De la Torre, Martial Hebert in Computer Vision – ECCV 2014 (2014)

  18. Chapter and Conference Paper

    Sequential Max-Margin Event Detectors

    Many applications in computer vision (e.g., games, human computer interaction) require a reliable and early detector of visual events. Existing event detection methods rely on one-versus-all or multi-class cla...

    Dong Huang, Shitong Yao, Yi Wang, Fernando De La Torre in Computer Vision – ECCV 2014 (2014)

  19. No Access

    Article

    Identification of genes differentially expressed in ectomycorrhizal roots during the Pinus pinasterLaccaria bicolor interaction

    Ectomycorrhizal associations are of major ecological importance in temperate and boreal forests. The development of a functional ectomycorrhiza requires many genetic and biochemical changes. In this study, sup...

    Aranzazu Flores-Monterroso, Javier Canales, Fernando de la Torre in Planta (2013)

  20. No Access

    Chapter and Conference Paper

    Robust Principal Component Analysis for Brain Imaging

    Discrimination of cognitive states from functional Magnetic Resonance Images (fMRI) is a challenging task, particularly when across subjects common representation of brain states is to be detected. Among sever...

    Petia Georgieva, Fernando De la Torre in Artificial Neural Networks and Machine Lea… (2013)

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