Search Results - "Spampinato, C"

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  1. 1

    Deep learning for automated skeletal bone age assessment in X-ray images by Spampinato, C., Palazzo, S., Giordano, D., Aldinucci, M., Leonardi, R.

    Published in Medical image analysis (01-02-2017)
    “…•Testing several Convolutional Neural Networks on for skeletal bone age assessment with X-Ray images.•BoNet: a CNN for automated skeletal age assessment able…”
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    Journal Article
  2. 2

    Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction by Bellitto, G., Proietto Salanitri, F., Palazzo, S., Rundo, F., Giordano, D., Spampinato, C.

    Published in International journal of computer vision (01-12-2021)
    “…In this work, we propose a 3D fully convolutional architecture for video saliency prediction that employs hierarchical supervision on intermediate maps…”
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    Journal Article
  3. 3

    Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos by Spampinato, C., Palazzo, S., D’Oro, P., Giordano, D., Shah, M.

    Published in International journal of computer vision (01-05-2020)
    “…Human behavior understanding in videos is a complex, still unsolved problem and requires to accurately model motion at both the local (pixel-wise dense…”
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    Journal Article
  4. 4

    Deep Learning Human Mind for Automated Visual Classification by Spampinato, C., Palazzo, S., Kavasidis, I., Giordano, D., Souly, N., Shah, M.

    “…xWhat if we could effectively read the mind and transfer human visual capabilities to computer vision methods? In this paper, we aim at addressing this…”
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    Conference Proceeding
  5. 5

    A texton-based kernel density estimation approach for background modeling under extreme conditions by Spampinato, C., Palazzo, S., Kavasidis, I.

    Published in Computer vision and image understanding (01-05-2014)
    “…•Background and foreground modeling method able to run seamlessly under extreme conditions.•Modeling structural variations of pixels’ neighbors via joint…”
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    Journal Article
  6. 6

    A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography by Mineo, Raffaele, Salanitri, F. Proietto, Bellitto, G., Kavasidis, I., Filippo, O. De, Millesimo, M., Ferrari, G. M. De, Aldinucci, M., Giordano, D., Palazzo, S., D'Ascenzo, F., Spampinato, C.

    Published in IEEE transactions on medical imaging (01-08-2024)
    “…The quantification of stenosis severity from X-ray catheter angiography is a challenging task. Indeed, this requires to fully understand the lesion's geometry…”
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    CULTO: AN ONTOLOGY-BASED ANNOTATION TOOL FOR DATA CURATION IN CULTURAL HERITAGE by Garozzo, R., Murabito, F., Santagati, C., Pino, C., Spampinato, C.

    “…This paper proposes CulTO, a software tool relying on a computational ontology for Cultural Heritage domain modelling, with a specific focus on religious…”
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    Journal Article Conference Proceeding
  9. 9

    Transcranial Magnetic Stimulation in the Assessment of Motor Cortex Excitability and Treatment of Drug-Resistant Major Depression by Spampinato, C., Aguglia, E., Concerto, C., Pennisi, M., Lanza, G., Bella, R., Cantone, M., Pennisi, G., Kavasidis, I., Giordano, D.

    “…Major depression is one of the leading causes of disabling condition worldwide and its treatment is often challenging and unsatisfactory, since many patients…”
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  10. 10

    Nonparametric label propagation using mutual local similarity in nearest neighbors by Giordano, D., Kavasidis, I., Palazzo, S., Spampinato, C.

    Published in Computer vision and image understanding (01-02-2015)
    “…•Label propagation by means of nearest-neighbor search and “mutual local similarity”.•Effectiveness and efficiency of quantized HoG for large scale image…”
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    Journal Article
  11. 11

    Terrestrial Laser Scanner techniques in the assessment of tsunami impact on the Maddalena peninsula (south-eastern Sicily, Italy) by Scicchitano, G., Pignatelli, C., Spampinato, C. R., Piscitelli, A., Milella, M., Monaco, C., Mastronuzzi, G.

    Published in Earth, planets and space (01-10-2012)
    “…The coastline of the Maddalena peninsula (south-eastern Sicily, Italy) is characterised by the occurrence of a boulder field associated to an extended soil…”
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    Journal Article Conference Proceeding
  12. 12

    Evaluation of the Traffic Parameters in a Metropolitan Area by Fusing Visual Perceptions and CNN Processing of Webcam Images by Faro, A., Giordano, D., Spampinato, C.

    Published in IEEE transactions on neural networks (01-06-2008)
    “…This paper proposes a traffic monitoring architecture based on a high-speed communication network whose nodes are equipped with fuzzy processors and cellular…”
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    Journal Article
  13. 13

    A diversity-based search approach to support annotation of a large fish image dataset by Giordano, D., Palazzo, S., Spampinato, C.

    Published in Multimedia systems (01-11-2016)
    “…Label propagation consists in annotating an unlabeled dataset starting from a set of labeled items. However, most current methods exploit only image similarity…”
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    Journal Article
  14. 14

    Millstone quarries along the Mediterranean coast: Chronology, morphological variability and relationships with past sea levels by Antonioli, F., Mourtzas, N., Anzidei, M., Auriemma, R., Galili, E., Kolaiti, E., Lo Presti, V., Mastronuzzi, G., Scicchitano, G., Spampinato, C., Vacchi, M., Vecchio, A.

    Published in Quaternary international (22-05-2017)
    “…The coast of the Mediterranean provide several remnants of ancient coastal quarries, which are now useful to study sea level change occurring during the last…”
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    Journal Article
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    Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans by Murabito, F., Palazzo, S., Salanitri, F. Proietto, Rundo, F., Bagci, U., Giordano, D., Leonardi, R., Spampinato, C.

    “…In this paper we define a deep learning architecture for automated segmentation of anatomical structures in Craniomaxillofacial (CMF) CT scans that leverages…”
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    Conference Proceeding
  16. 16

    Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans by Palazzo, S., Bellitto, G., Prezzavento, L., Rundo, F., Bagci, U., Giordano, D., Leonardi, R., Spampinato, C.

    “…In this paper we define a deep multi-stage architecture for automated landmarking of craniomaxillofacial (CMF) CT images. Our model is composed of three…”
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    Conference Proceeding
  17. 17

    Uplifted Holocene shorelines at Capo Milazzo (NE Sicily, Italy): Evidence of co-seismic and steady-state deformation by Scicchitano, G., Spampinato, C.R., Ferranti, L., Antonioli, F., Monaco, C., Capano, M., Lubritto, C.

    Published in Quaternary international (15-02-2011)
    “…Detailed mapping of Holocene shorelines outcropping a few meters above the present sea-level at Capo Milazzo, the main headland of NE Sicily, supplied evidence…”
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    Journal Article
  18. 18

    Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans by Pino, C., Palazzo, S., Trenta, F., Cordero, F., Bagci, U., Rundo, F., Battiato, S., Giordano, D., Aldinucci, M., Spampinato, C.

    “…Genetic profiling and characterization of lung cancers have recently emerged as a new technique for targeted therapeutic treatment based on immunotherapy or…”
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    Conference Proceeding
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    Fine-grained object recognition in underwater visual data by Spampinato, C., Palazzo, S., Joalland, P. H., Paris, S., Glotin, H., Blanc, K., Lingrand, D., Precioso, F.

    Published in Multimedia tools and applications (01-02-2016)
    “…In this paper we investigate the fine-grained object categorization problem of determining fish species in low-quality visual data (images and videos) recorded…”
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    Journal Article