El GPI fa recerca en Processament d'Imatge i Vídeo per representació, codificació, indexació i anàlisi del contingut visual. L'expertesa del grup en Morfologia i Segmentació ha estat la base de contribucions als estàndards ISO MPEG-4 i MPEG-7. La recerca en anàlisi d’imatge li ha permès participar en projectes europeus des de 1992, als programes RACE (Morpheco, coord.), ACTS (MAVT, MoMuSys, Vidas), IST (Diceman, Hypermedia, INTERFACE, ADViSOR, MASCOT, FAETHON), en xarxes d'excel·lència (SCHEMA, SIMILAR, MUSCLE), i en projectes integrats FP6 (CHIL) i FP7 (FASCINATE). El grup ha construït dues “smart rooms” al Campus Nord de la UPC, i ha fet contribucions en anàlisi visual per interacció, així com en aplicacions d’imatge biomèdica i teledetecció. Ha signat convenis de recerca amb empreses com ara Philips (París), France Telecom (Rennes), NXP (Holanda), Thomson (Princeton, USA), Alterface (Bèlgica) i nacionals com Telefónica, CCRTV, MediaPro, Fundació CELLEX, Hospital Clínic, AD Telecom o Abertis.

El GPI investiga sobre procesamiento de imagen y vídeo por representación, codificación, indexación y análisis del contenido visual. La investigación del grupo en Morfología y Segmentación ha sido la base de contribuciones a los estándares ISO MPEG-4 y MPEG-7. La investigación en análisis de imagen le ha permitido participar en proyectos europeos desde 1992, en los programas RACE (Morpheco, coord.), ACTS (MAVT, MoMuSys, Vidas), IST (Diceman, Hypermedia, INTERFACE, Advisor, MASCOT, FAETHON ), en redes de excelencia (SCHEMA, SIMILAR, MUSCLE), y en proyectos integrados FP6 (CHIL) y FP7 (Fascinate). El grupo ha construido dos “smart romos” en el Campus Nord de la UPC, y ha hecho contribuciones en análisis visual por interacción, así como en aplicaciones de imagen biomédica y teledetección. Ha firmado convenios de investigación con empresas como Philips (París), France Telecom (Rennes), NXP (Holanda), Thomson (Princeton, USA), Alterface (Bélgica) y nacionales como Telefónica, CCRTV, MediaPro, Fundación CELLEX, Hospital Clínic, AD Telecom o Abertis.

The GPI does research on image and video processing for representing, coding, indexing and analysing visual content. The expertise of the group working on morphology and segmentation has been the basis for contributions to ISO standards MPEG-4 and MPEG-7. Research on image analysis has allowed it to participate in European projects since 1992, including the programs RACE (Morpheco, coord.), ACTS (MAVT, MoMuSys, Vidas) and IST (Diceman, Hypermedia, INTERFACE, ADViSOR, MASCOT, FAETHON), the networks of excellence SCHEMA, SIMILAR and MUSCLE and the integrated FP6 and FP7 projects CHIL and FASCINATE, respectively.

The GPI does research on image and video processing for representing, coding, indexing and analysing visual content. The expertise of the group working on morphology and segmentation has been the basis for contributions to ISO standards MPEG-4 and MPEG-7. Research on image analysis has allowed it to participate in European projects since 1992, including the programs RACE (Morpheco, coord.), ACTS (MAVT, MoMuSys, Vidas) and IST (Diceman, Hypermedia, INTERFACE, ADViSOR, MASCOT, FAETHON), the networks of excellence SCHEMA, SIMILAR and MUSCLE and the integrated FP6 and FP7 projects CHIL and FASCINATE, respectively.

Recent Submissions

  • Channel-wise early stopping without a validation set via NNK polytope interpolation 

    Bonet Solé, David; Ortega, Antonio; Ruiz Hidalgo, Javier; Sarath Shekkizhar, Sarath (2021)
    Conference report
    Open Access
    State-of-the-art neural network architectures continue to scale in size and deliver impressive generalization results, although this comes at the expense of limited interpretability. In particular, a key challenge is to ...
  • Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-ß PET and CSF Aß42 status: findings using machine learning 

    Cumplido Mayoral, Irene; Shekari, Mahnaz; Salvado, Gemma; Operto, Grégory; Cacciaglia, Raffaele; Falcón, Carles; Niñerola Baizán, Aida; Perissinotti, Andrés; Minguillón, Carolina; Vilaplana Besler, Verónica (Wiley, 2021-12)
    Article
    Restricted access - publisher's policy
    Background: CSF Aß42 is thought to show AD-related alterations earlier than amyloid-ß PET. Therefore, cognitively unimpaired (CU) individuals with abnormal CSF Aß42 and normal amyloid-ß PET are believed to be in the ...
  • Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s disease 

    Cumplido Mayoral, Irene; Salvado, Gemma; Shekari, Mahnaz; Operto, Grégory; Falcón, Carles; Milà Alomà, Marta; Niñerola Baizán, Aida; Molinuevo Guix, José Luis; Zetterberg, Henrik; Blennow, Kaj; Suarez-Calvet, Marc; Vilaplana Besler, Verónica; Gispert López, Juan Domingo (Wiley, 2021-12)
    Article
    Restricted access - publisher's policy
    Background: Plasma biomarkers have demonstrated excellent agreement with established markers of amyloid-ß (Aß) positivity (PET and CSF) to identify patients with symptomatic AD. However, their predictive capacity in ...
  • Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI 

    Cumplido Mayoral, Irene; Ingala, Silvia; Lorenzini, Luigi; Wink, Alle Meije; Haller, Sven; Molinuevo Guix, Jose Luis; Wolz, Robin; Palombit, Alessandro; Schwarz, Adam J.; Vilaplana Besler, Verónica (Wiley, 2021-12)
    Article
    Restricted access - publisher's policy
    Background: Structural MRI measurements can contribute to the prediction of amyloid pathology in cognitively unimpaired (CU) individuals. In this work, we aimed at studying the predictive capacity, robustness, and ...
  • QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation -- analysis of ranking metrics and benchmarking results 

    Mehta, Raghav; Filos, Angelos; Baid, Ujjwal; Sako, Chiharu; McKinley, Richard; Rebsamen, Michael; Dätwyler, Katrin; Meier, Raphael; Mora Ballestar, Laura; Vilaplana Besler, Verónica (2021-12-19)
    Research report
    Open Access
    Deep learning (DL) models have provided the state-of-the-art performance in a wide variety of medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges. However, the task of focal ...
  • Single-image super-resolution of sentinel-2 low resolution bands with residual dense convolutional neural networks 

    Salgueiro Romero, Luis Fernando; Marcello Ruiz, Javier; Vilaplana Besler, Verónica (Multidisciplinary Digital Publishing Institute (MDPI), 2021-12-09)
    Article
    Open Access
    Sentinel-2 satellites have become one of the main resources for Earth observation images because they are free of charge, have a great spatial coverage and high temporal revisit. Sentinel-2 senses the same location providing ...
  • Real-time detection of overloads on the plasma-facing components of Wendelstein 7-X 

    Puig Sitjes, Aleix; Jakubowski, Marcin; Naujoks, Dirk; Gao, Yu; Drewelow, Peter; Niemann, Holger; Fellinger, Joris; Casas Pla, Josep Ramon; Salembier Clairon, Philippe Jean; Clemente Bonjour, Rocco (Multidisciplinary Digital Publishing Institute, 2021-12-16)
    Article
    Open Access
    Wendelstein 7-X (W7-X) is the leading experiment on the path of demonstrating that stellarators are a feasible concept for a future power plant. One of its major goals is to prove quasi-steady-state operation in a ...
  • A dual network for super-resolution and semantic segmentation of sentinel-2 imagery 

    Abadal Lloret, Sauc; Salgueiro Romero, Luis Fernando; Marcello Ruiz, Javier; Vilaplana Besler, Verónica (Multidisciplinary Digital Publishing Institute (MDPI), 2021-11-12)
    Article
    Open Access
    There is a growing interest in the development of automated data processing workflows that provide reliable, high spatial resolution land cover maps. However, high-resolution remote sensing images are not always affordable. ...
  • MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures 

    Mora Ballestar, Laura; Vilaplana Besler, Verónica (Springer Nature, 2021)
    Part of book or chapter of book
    Open Access
    Automation of brain tumor segmentation in 3D magnetic resonance images (MRIs) is key to assess the diagnostic and treatment of the disease. In recent years, convolutional neural networks (CNNs) have shown improved results ...
  • H3D-Net: Few-shot high-fidelity 3D head reconstruction 

    Ramon Maldonado, Eduard; Triginer Garcés, Gil; Escurt i Gelabert, Janna; Pumarola Peris, Albert; García Giráldez, Jaime; Giró Nieto, Xavier; Moreno-Noguer, Francesc (Computer Vision Foundation, 2021)
    Conference lecture
    Open Access
    Recent learning approaches that implicitly represent surface geometry using coordinate-based neural representations have shown impressive results in the problem of multi-view 3D reconstruction. The effectiveness of these ...
  • Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data 

    Mañas Sánchez, Óscar; Lacoste, Alexandre; Giró Nieto, Xavier; Vázquez Bermúdez, David; Rodriguez López, Pau (Computer Vision Foundation, 2021)
    Conference lecture
    Open Access
    Remote sensing and automatic earth monitoring are key to solve global-scale challenges such as disaster prevention, land use monitoring, or tackling climate change. Although there exist vast amounts of remote sensing data, ...
  • How2Sign: A large-scale multimodal dataset for continuous American sign language 

    Cardoso Duarte, Amanda; Palaskar, Shruti; Ventura Ripol, Lucas; Ghadiyaram, Deepti; DeHaan, Kenneth; Metze, Florian; Torres Viñals, Jordi; Giró Nieto, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference lecture
    Open Access
    One of the factors that have hindered progress in the areas of sign language recognition, translation, and production is the absence of large annotated datasets. Towards this end, we introduce How2Sign, a multimodal and ...

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