Search Results - "Castellani, U."

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  1. 1

    Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks by Boscaini, D., Masci, J., Melzi, S., Bronstein, M. M., Castellani, U., Vandergheynst, P.

    Published in Computer graphics forum (01-08-2015)
    “…In this paper, we propose a generalization of convolutional neural networks (CNN) to non‐Euclidean domains for the analysis of deformable shapes. Our…”
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    Journal Article
  2. 2

    FARM: Functional Automatic Registration Method for 3D Human Bodies by Marin, R., Melzi, S., Rodolà, E., Castellani, U.

    Published in Computer graphics forum (01-02-2020)
    “…We introduce a new method for non‐rigid registration of 3D human shapes. Our proposed pipeline builds upon a given parametric model of the human, and makes use…”
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    Journal Article
  3. 3

    Localized Manifold Harmonics for Spectral Shape Analysis by Melzi, S., Rodolà, E., Castellani, U., Bronstein, M. M.

    Published in Computer graphics forum (01-09-2018)
    “…The use of Laplacian eigenfunctions is ubiquitous in a wide range of computer graphics and geometry processing applications. In particular, Laplacian…”
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    Journal Article
  4. 4

    Improved Functional Mappings via Product Preservation by Nogneng, D., Melzi, S., Rodolà, E., Castellani, U., Bronstein, M., Ovsjanikov, M.

    Published in Computer graphics forum (01-05-2018)
    “…In this paper, we consider the problem of information transfer across shapes and propose an extension to the widely used functional map representation. Our…”
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    Journal Article
  5. 5

    Sparse points matching by combining 3D mesh saliency with statistical descriptors by Castellani, U., Cristani, M., Fantoni, S., Murino, V.

    Published in Computer graphics forum (01-04-2008)
    “…This paper proposes new methodology for the detection and matching of salient points over several views of an object. The process is composed by three main…”
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    Journal Article
  6. 6

    Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach by Pegoraro, M., Melzi, S., Castellani, U., Marin, R., Rodolà, E.

    Published in Computer graphics forum (01-08-2022)
    “…Many natural shapes have most of their characterizing features concentrated over a few regions in space. For example, humans and animals have distinctive head…”
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    Journal Article
  7. 7

    Classification of schizophrenia using feature-based morphometry by Castellani, U., Rossato, E., Murino, V., Bellani, M., Rambaldelli, G., Perlini, C., Tomelleri, L., Tansella, M., Brambilla, P.

    Published in Journal of Neural Transmission (01-03-2012)
    “…The objective of this study was to use a combined local descriptor, namely scale invariance feature transform (SIFT), and a non linear support vector machine…”
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    Journal Article
  8. 8

    Shape Retrieval of Non-rigid 3D Human Models by Pickup, D., Sun, X., Rosin, P. L., Martin, R. R., Cheng, Z., Lian, Z., Aono, M., Hamza, A. Ben, Bronstein, A., Bronstein, M., Bu, S., Castellani, U., Cheng, S., Garro, V., Giachetti, A., Godil, A., Isaia, L., Han, J., Johan, H., Lai, L., Li, B., Li, C., Li, H., Litman, R., Liu, X., Liu, Z., Lu, Y., Sun, L., Tam, G., Tatsuma, A., Ye, J.

    Published in International journal of computer vision (01-11-2016)
    “…3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape…”
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    Journal Article
  9. 9

    Brain Perfusion Characterizes First Episode of Psychosis Patients in Respect to Healthy Controls by Squarcina, L, Perlini, C, Peruzzo, D, Castellani, U, Marinelli, V, Bellani, M, Rambaldelli, G, Lasalvia, A, Tosato, S, De Santi, K, Spagnolli, F, Cardobi, N, Cerini, R, Ruggeri, M, Brambilla, P

    Published in European psychiatry (28-03-2015)
    “…Introduction Vascular changes in the brain are relevant in schizophrenia [e.g. 1] and in bipolar disorder [2]. The study of first episode psychosis (FEP)…”
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    Journal Article
  10. 10

    Geo-located image analysis using latent representations by Cristani, M., Perina, A., Castellani, U., Murino, V.

    “…Image categorization is undoubtedly one of the most challenging open problems faced in computer vision, far from being solved by employing pure visual cues…”
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    Conference Proceeding
  11. 11

    A hybrid generative/discriminative classification framework based on free-energy terms by Perina, A, Cristani, M, Castellani, U, Murino, V, Jojic, N

    “…Hybrid, generative-discriminative, techniques have proven to be valuable approaches in tackling difficult object or scene recognition problems. In general, a…”
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    Conference Proceeding
  12. 12

    DCE-MRI data analysis for cancer area classification by Castellani, Umberto, Cristiani, M, Daducci, A, Farace, P, Marzola, P, Murino, V, Sbarbati, A

    “…The paper aims at improving the support of medical researchers in the context of in-vivo cancer imaging. Morphological and functional parameters obtained by…”
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    Journal Article
  13. 13

    Geo-located image categorization and location recognition by Cristani, M., Perina, A., Castellani, U., Murino, V.

    Published in Pattern recognition and image analysis (01-06-2009)
    “…Image categorization is undoubtedly one of the most recent and challenging problems faced in Computer Vision. The scientific literature is plenty of methods…”
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    Journal Article
  14. 14

    A complete system for on-line 3D modelling from acoustic images by Castellani, U., Fusiello, A., Murino, V., Papaleo, L., Puppo, E., Pittore, M.

    Published in Signal processing. Image communication (01-10-2005)
    “…This paper presents a system for the three-dimensional (3D) reconstruction of an underwater environment on the basis of multiple range views from an acoustical…”
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  15. 15

    Brain morphometry by probabilistic latent semantic analysis by Castellani, U, Perina, A, Murino, V, Bellani, M, Rambaldelli, G, Tansella, M, Brambilla, P

    “…The paper propses a new shape morphometry approach that combines advanced classification techniques with geometric features to identify morphological…”
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    Journal Article
  16. 16

    Free Energy Score Spaces: Using Generative Information in Discriminative Classifiers by Perina, A., Cristani, M., Castellani, U., Murino, V., Jojic, N.

    “…A score function induced by a generative model of the data can provide a feature vector of a fixed dimension for each data sample. Data samples themselves may…”
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    Journal Article
  17. 17

    3D acoustic image segmentation by a RANSAC-based approach by Tao, L., Castellani, U., Fusiello, A., Murino, V.

    “…In this paper, a new technique for 3D acoustic image segmentation and modelling is proposed. Especially, in the underwater environment, in which optical…”
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    Conference Proceeding
  18. 18

    Registration of very time-distant aerial images by Murino, V., Castellani, U., Etrari, A., Fusiello, A.

    “…We address the alignment of historical and present-day aerial photographs. Historical images refer to regions bombed during the Second World War. In these…”
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    Conference Proceeding
  19. 19

    Reconstruction of complex environments by robust pre-aligned ICP by Murino, V., Ronchetti, L., Castellani, U., Fusiello, A.

    “…This paper proposes a technique for three-dimensional reconstruction of an underwater environment from range views acquired by an acoustic camera. The final…”
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    Conference Proceeding
  20. 20

    Statistical 3D Shape Analysis by Local Generative Descriptors by Castellani, U., Cristani, M., Murino, V.

    “…In this paper, we propose a new approach for surface representation. Generative models are exploited for encoding the variations of local geometric properties…”
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    Journal Article