Search Results - "Melzi, Simone"

Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach by Roffo, Giorgio, Melzi, Simone, Castellani, Umberto, Vinciarelli, Alessandro

“…Feature selection is playing an increasingly significant role with respect to many computer vision applications spanning from object recognition to visual…”
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Spectral Shape Recovery and Analysis Via Data-driven Connections by Marin, Riccardo, Rampini, Arianna, Castellani, Umberto, Rodolà, Emanuele, Ovsjanikov, Maks, Melzi, Simone

“…We introduce a novel learning-based method to recover shapes from their Laplacian spectra, based on establishing and exploring connections in a learned latent…”
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GIM3D plus: A labeled 3D dataset to design data-driven solutions for dressed humans by Musoni, Pietro, Melzi, Simone, Castellani, Umberto

“…Segmentation and classification of clothes in real 3D data are particularly challenging due to the extreme variation of their shapes, even among the same cloth…”
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Sparse representation of step functions on manifolds by Melzi, Simone

“…•We propose the Binary Sparse Frame a frame for the sparse synthesis and analysis of the step functions.•We exploit the sparse representation directly provided…”
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Infinite Feature Selection: A Graph-based Feature Filtering Approach by Roffo, Giorgio, Melzi, Simone, Castellani, Umberto, Vinciarelli, Alessandro, Cristani, Marco

“…We propose a filtering feature selection framework that considers subsets of features as paths in a graph, where a node is a feature and an edge indicates…”
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Infinite Feature Selection by Roffo, Giorgio, Melzi, Simone, Cristani, Marco

“…Filter-based feature selection has become crucial in many classification settings, especially object recognition, recently faced with feature learning…”
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Complex Functional Maps: A Conformal Link Between Tangent Bundles by Donati, Nicolas, Corman, Etienne, Melzi, Simone, Ovsjanikov, Maks

“…In this paper, we introduce complex functional maps, which extend the functional map framework to conformal maps between tangent vector fields on surfaces. A…”
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Attention And Positional Encoding Are (Almost) All You Need For Shape Matching by Raganato, Alessandro, Pasi, Gabriella, Melzi, Simone

“…The fast development of novel approaches derived from the Transformers architecture has led to outstanding performance in different scenarios, from Natural…”
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Discrete Optimization for Shape Matching by Ren, Jing, Melzi, Simone, Wonka, Peter, Ovsjanikov, Maks

“…We propose a novel discrete solver for optimizing functional map‐based energies, including descriptor preservation and promoting structural properties such as…”
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Bijective upsampling and learned embedding for point clouds correspondences by Viganò, Giulio, Melzi, Simone

“…In this paper, we present a novel pipeline to compute and refine a data-driven solution for estimating the correspondence between 3D point clouds. Our method…”
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Extracting a functional representation from a dictionary for non-rigid shape matching by Colombo, Michele, Boracchi, Giacomo, Melzi, Simone

“…Shape matching is a fundamental problem in computer graphics with many applications. Functional maps translate the point-wise shape-matching problem into its…”
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Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence with Functional Maps by Pai, Gautam, Ren, Jing, Melzi, Simone, Wonka, Peter, Ovsjanikov, Maks

“…In this paper, we provide a theoretical foundation for pointwise map recovery from functional maps and highlight its relation to a range of shape…”
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Sustainability game by Pedol, Miriam, Biffi, Elena, Melzi, Simone

“…This paper describes a dynamic multistage game in which sustainability is a value that is shared between companies and stakeholders in a competitive market…”
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Foreword to the Special Section on Smart Tools and Applications in Graphics (STAG 2021) by Frosini, Patrizio, Giorgi, Daniela, Melzi, Simone, Rodolà, Emanuele

“…The Special Section contains extended and revised versions of the best papers presented at the 8th Conference on Smart Tools and Applications in Graphics (STAG…”
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Wavelet‐based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis by Kirgo, Maxime, Melzi, Simone, Patanè, Giuseppe, Rodolà, Emanuele, Ovsjanikov, Maks

“…In this paper, we propose a new construction for the Mexican hat wavelets on shapes with applications to partial shape matching. Our approach takes its main…”
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Assessing craniofacial growth and form without landmarks: a new automatic approach based on spectral methods by Magnet, Robin, Bloch, Kevin, Taverne, Maxime, Melzi, Simone, Geoffroy, Maya, Khonsari, Roman, Ovsjanikov, Maks

“…We present a novel method for the morphometric analysis of series of 3D shapes, and demonstrate its relevance for the detection and quantification of two…”
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Learning Spectral Unions of Partial Deformable 3D Shapes by Moschella, Luca, Melzi, Simone, Cosmo, Luca, Maggioli, Filippo, Litany, Or, Ovsjanikov, Maks, Guibas, Leonidas, Rodolà, Emanuele

“…Spectral geometric methods have brought revolutionary changes to the field of geometry processing. Of particular interest is the study of the Laplacian…”
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Assessing craniofacial growth and form without landmarks: A new automatic approach based on spectral methods by Magnet, Robin, Bloch, Kevin, Taverne, Maxime, Melzi, Simone, Geoffroy, Maya, Khonsari, Roman H., Ovsjanikov, Maks

“…We present a novel method for the morphometric analysis of series of 3D shapes, and demonstrate its relevance for the detection and quantification of two…”
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Intrinsic/extrinsic embedding for functional remeshing of 3D shapes by Melzi, Simone, Marin, Riccardo, Musoni, Pietro, Bardon, Filippo, Tarini, Marco, Castellani, Umberto

“…•We propose a new strategy for shape remeshing-by-matching.•We define the CMH, a new basis that integrates intrinsic and extrinsic information.•We propose an…”
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Learning Spectral Unions of Partial Deformable 3D Shapes by Moschella, Luca, Melzi, Simone, Cosmo, Luca, Maggioli, Filippo, Litany, Or, Ovsjanikov, Maks, Guibas, Leonidas, Rodolà, Emanuele

“…Spectral geometric methods have brought revolutionary changes to the field of geometry processing. Of particular interest is the study of the Laplacian…”
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