A. Norelli, G. Mariani, L. Moschella, A. Santilli, G. Parascandolo, S. Melzi, E. Rodolà
Explanatory Learning: Beyond Empiricism in Neural Networks
ArXiv, 2022

M. Mancusi, N. Zonca, E. Rodolà, S. Zuffi
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation
ArXiv, 2022

V. Sanh, A. Webson, A Santilli, et al.
Multitask prompted training enables zero-shot task generalization
ArXiv, 2021

M. Mancusi, E. Postolache, M. Fumero, A. Santilli, L. Cosmo, E. Rodolà
Unsupervised Source Separation via Bayesian Inference in the Latent Domain
ArXiv, 2021

A. Sanghi, H. Chu, J. G. Lambourne, Y. Wang, C. Cheng, M. Fumero
Clip-forge: Towards zero-shot text-to-shape generation
ArXiv, 2021

V. Arrigoni, F. Maggioli, A. Massini, E. Rodolà
Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose
50th International Conference on Parallel Processing, 2021

M. Pegoraro, R. Marin, S. Melzi, E. Rodolà, U. Castellani
Learning to generate shape from global-local spectra
ArXiv, 2021

I. Tallini, L. Iezzi, P. Gjanci, C. Petrioli, S. Basagni
Localizing Autonomous Underwater Vehicles: Experimental Evaluation of a Long Baseline Method
International Conference on Distributed Computing in Sensor Systems (DCOSS), 2021

G. Trappolini, L. Cosmo, L. Moschella, R. Marin, S. Melzi, E. Rodolà
Shape registration in the time of transformers
Advances in Neural Information Processing Systems (Neurips), 2021

F. Maggioli, S. Melzi, M. Ovsjanikov, M. M Bronstein, E. Rodolà
Orthogonalized fourier polynomials for signal approximation and transfer
Computer Graphics Forum, 2021

L. Moschella, S. Melzi, L. Cosmo, F. Maggioli, O. Litany, M. Ovsjanikov, L. Guibas, E. Rodolà
Spectral Unions of Partial Deformable 3D Shapes
ArXiv, 2021

M. Fumero, L. Cosmo, S. Melzi, E. Rodolà
Learning disentangled representations via product manifold projection
Proceedings of Machine Learning Research (PMLR), 2021

R. Marin, A. Rampini, U. Castellani, E. Rodolà, M. Ovsjanikov, and S. Melzi
Instant recovery of shape from spectrum via latent space connections
Proc. Int’l Conference on 3D Vision (3DV), Nov , 2020

L. Cosmo, A. Norelli, O. Halimi, R. Kimmel, and E. Rodolà
LIMP: Learning latent shape representations with metric preservation priors
Proc. European Conference on Computer Vision (ECCV), Aug, 2020

O. Halimi, I. Imanuel, O. Litany, G. Trappolini, E. Rodolà, L. Guibas, and R. Kimmel
Towards precise completion of deformable shapes
Proc. European Conference on Computer Vision (ECCV), Aug, 2020

M. Kirgo, S. Melzi, G. Patanè, E. Rodolà, and M. Ovsjanikov
Wavelet-based heat kernel derivatives: Towards informative localized shape analysis
Computer Graphics Forum (CGF), 2020

M. Fumero, M. Moeller, and E. Rodolà
Nonlinear spectral geometry processing via the tv transform
Transactions on Graphics (TOG), 2020

G. Mariani, L. Cosmo, A. Bronstein, and E. Rodolà
Generating adversarial surfaces via band-limited perturbations
Computer Graphics Forum (CGF), 2020

E. Postolache, M. Fumero, L. Cosmo, and E. Rodolà
A parametric analysis of discrete hamiltonian functional maps
Computer Graphics Forum (CGF), 2020

P. Gainza, F. Sverrisson, F. Monti, E. Rodolà, D. Boscaini, M. M. Bronstein, and B. Correia
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
Nature Methods, 2020

D. Avola, M. Cascio, L. Cinque, G. Foresti, C. Massaroni, and E. Rodolà
2d skeleton-based action recognition via two-branch stacked lstm-rnns
IEEE Transactions on Multimedia, 2020

R. Marin, S. Melzi, E. Rodolà, and U. Castellani
FARM: Functional automatic registration method for 3d human bodies
Computer Graphics Forum (CGF), 2020

S. Melzi, J. Ren, E. Rodolà, P.Wonka, and M. Ovsjanikov
ZoomOut: Spectral upsampling for efficient shape correspondence
Transactions on Graphics (TOG), 2019

P. Gainza, F. Sverrisson, F. Monti, E. Rodolà, M. M. Bronstein, and B. Correia
Learning interaction patterns from surface representations of protein structure
Conference on Neural Information Processing Systems (NeurIPS) - Workshop on Graph Representation Learning, Vancouver, Canada, Dec, 2019

E. Rodolà, Z. Lähner, A. M. Bronstein, M. M. Bronstein, and J. Solomon
Functional maps representation on product manifolds
Computer Graphics Forum (CGF), 2019

A. Rampini, I. Tallini, M. Ovsjanikov, A.M. Bronstein, and E. Rodolà
Correspondence-free region localization for partial shape similarity via hamiltonian spectrum alignment
Proc. Int’l Conference on 3D Vision (3DV), Québec City, Canada, Sep, 2019

R. Marin, S. Melzi, E. Rodolà, and U. Castellani
High-resolution augmentation for automatic template-based matching of human models
Proc. Int’l Conference on 3D Vision (3DV), Québec City, Canada, Sep, 2019

P. Gainza, F. Sverrisson, F. Monti, E. Rodolà, M. M. Bronstein, and B. Correia
Deciphering interaction fingerprints from protein molecular surfaces
Proc. Int’l Conference on Intelligent Systems for Molecular Biology and European Conference on Computational Biology (ISMB/ECCB), Basel, Switzerland, Jul, 2019

L. Cosmo, M. Panine, A. Rampini, M. Ovsjanikov, M. M. Bronstein, and E. Rodolà
Isospectralization, or how to hear shape, style, and correspondence
Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, US, Jun, 2019

O. Halimi, O. Litany, E. Rodolà, A. M. Bronstein, and R. Kimmel
Unsupervised learning of dense shape correspondence
Proc. Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, US, Jun, 2019

S. Melzi, R. Spezialetti, F. Tombari, M. M. Bronstein, L. Di Stefano, and E. Rodolà
GFrames: Gradient-based local reference frame for 3d shape matching
Proc. Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, US, Jun, 2019

S. Melzi, R. Marin, E. Rodolà, U. Castellani, J. Ren, A. Poulenard, P. Wonka, and M. Ovsjanikov
SHREC’19: Matching humans with different connectivity
Proc. EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR), Genova, Italy, May, 2019

R.M. Dyke, C. Stride, Y.-K. Lai, P.L. Rosin, M. Aubry, A. Boyarski, A.M. Bronstein, M.M. Bronstein, D. Cremers, M. Fisher, T. Groueix, D. Guo, V. Kim, R. Kimmel, Z. Lähner, K. Li, O. Litany, T. Remez, E. Rodolà, B.C. Russell, Y. Sahillioglu, R. Slossberg, G. Tam, M. Vestner, Z. Wu, and J. Yang
SHREC’19: Shape correspondence with isometric and non-isometric deformations
Proc. EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR), Genova, Italy, May, 2019

D. Nogneng, S. Melzi, E. Rodolà, U. Castellani, M. M. Bronstein, and M. Ovsjanikov
Improved functional mappings via product preservation
Computer Graphics Forum (CGF), 2018

S. Melzi, E. Rodolà, U. Castellani, and M. M. Bronstein
Localized manifold harmonics for spectral shape analysis
Computer Graphics Forum (CGF), 2018

O. Litany, E. Rodolà, A. M. Bronstein, M. M. Bronstein, and D. Cremers
Partial single- and multishape dense correspondence using functional maps
Handbook of Numerical Analysis, 2018

F. M. Zanzotto, A. Santilli, L. Ranaldi, D. Onorati, P. Tommasino, F. Fallucchi
KERMIT: Complementing transformer architectures with encoders of explicit syntactic interpretations
Empirical Methods in Natural Language Processing (EMNLP), 2020

E. Rodolà, M. Moeller, and D. Cremers
Regularized point-wise map recovery from functional correspondence
Computer Graphics Forum (CGF), 2017

O. Litany, T. Remez, E. Rodolà, A. M. Bronstein, and M. M. Bronstein
Deep functional maps: Structured prediction for dense shape correspondence
Proc. Int’l Conference on Computer Vision (ICCV), Venice, Italy, Oct, 2017

M. Vestner, Z. Lähner, A. Boyarski, O. Litany, R. Slossberg, T. Remez, E. Rodolà, A. M. Bronstein, M. M. Bronstein, R. Kimmel, and D. Cremers
Efficient deformable shape correspondence via kernel matching
Efficient deformable shape correspondence via kernel matching. In Proc. Int’l Conference on 3D Vision (3DV), Qingdao, China, Oct, 2017

A. Gasparetto, L. Cosmo, E. Rodolà, A. Torsello, and M. M. Bronstein
Spatial maps: From low rank spectral to sparse spatial functional representations
Proc. Int’l Conference on 3D Vision (3DV), Qingdao, China, Oct, 2017

M. Ovsjanikov, E. Corman, M. M. Bronstein, E. Rodolà, M. Ben-Chen, L. Guibas, F. Chazal, and A. M. Bronstein
Computing and processing correspondences with functional maps
ACM SIGGRAPH 2017 Courses, Los Angeles, US, 2017

M. Vestner, R. Litman, E. Rodolà, A. M. Bronstein, and D. Cremers
Product manifold filter: Non-rigid shape correspondence via kernel density estimation in the product space
Proc. Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, US, Jul, 2017

F. Monti, D. Boscaini, J. Masci, E. Rodolà, J. Svoboda, and M. M. Bronstein
Geometric deep learning on graphs and manifolds using mixture model cnns
Proc. Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, US, Jul, 2017

E. Rodolà, L. Cosmo, O. Litany, M. M. Bronstein, A. M. Bronstein, N. Audebert, A. B. Hamza, A. Boulch, U. Castellani, M. N. Do, et al
SHREC’17: Deformable shape retrieval with missing parts
Proc. EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR), Lyon, France, Apr, 2017

O. Litany, E. Rodolà, A. M. Bronstein, and M. M. Bronstein
Fully spectral partial shape matching
Computer Graphics Forum (CGF), 2017

E. Rodolà, L. Cosmo, M. M. Bronstein, A. Torsello, and D. Cremers
Partial functional correspondence
Computer Graphics Forum (CGF), 2017

L. Cosmo, E. Rodolà, A. Albarelli, F. Mémoli, and D. Cremers
Consistent partial matching of shape collections via sparse modeling
Computer Graphics Forum (CGF), 2017

O. Litany, E. Rodolà, A. M. Bronstein, M. M. Bronstein, and D. Cremers
Non-rigid puzzles
Computer Graphics Forum (CGF), 2016

J. Masci, E. Rodolà, D. Boscaini, M. M. Bronstein, and H. Li
Geometric deep learning
ACM SIGGRAPH Asia 2016 Courses, Macao, 2016

M. Ovsjanikov, E. Corman, M. M. Bronstein, E. Rodolà, M. Ben-Chen, L. Guibas, F. Chazal, and A. M. Bronstein
Computing and processing correspondences with functional maps
ACM SIGGRAPH Asia 2016 Courses, Macao, 2016

D. Boscaini, J. Masci, E. Rodolà, and M. M. Bronstein
Learning shape correspondence with anisotropic convolutional neural networks
Proc. Neural Information Processing Systems (NIPS), Barcelona, Spain, Dec, 2016

L. Cosmo, E. Rodolà, J. Masci, A. Torsello, and M. M. Bronstein
Matching deformable objects in clutter
Proc. Int’l Conference on 3D Vision (3DV), Stanford, US, Oct, 2016

S. Melzi, E. Rodolà, U. Castellani, and M. M. Bronstein
Shape analysis with anisotropic windowed fourier transform
Proc. Int’l Conference on 3D Vision (3DV), Stanford, US, Oct, 2016

D. Eynard, E. Rodolà, K. Glashoff, and M. M. Bronstein
Coupled functional maps
Proc. Int’l Conference on 3D Vision (3DV), Stanford, US, Oct, 2016

L. Cosmo, A. Albarelli, F. Bergamasco, A. Torsello, E. Rodolà, and D. Cremers
A game-theoretical approach for joint matching of multiple feature throughout unordered images
Proc. Int’l Conference on Pattern Recognition (ICPR), Cancun, Mexico, Dec, 2016

L. Cosmo, E. Rodolà, M. M. Bronstein, A. Torsello, D. Cremers, and Y. Sahillioglu
SHREC’16: Partial matching of deformable shapes
Proc. EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR), Lisbon, Portugal, May, 2016

Z. Lähner, E. Rodolà, M. M. Bronstein, D. Cremers, O. Burghard, L. Cosmo, A. Dieckmann, R. Klein, and Y. Sahillioglu
SHREC’16: Matching of deformable shapes with topological noise
Proc. EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR), Lisbon, Portugal, May, 2016

Z. Lähner, E. Rodolà, F. R. Schmidt, M. M. Bronstein, and D. Cremers
Efficient globally optimal 2dto- 3d deformable shape matching
Proc. Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, US, Jun, 2016

Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael Bronstein, and Emanuele Rodolà.
Isospectralization, or how to hear shape, style, and correspondence
IEEE Conference on Computer Vision and Pattern Recognition, 2019 - This is a note.

Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael Bronstein, Luigi Di Stefano, and Emanuele Rodolà.
GFrames: Gradient-based local reference frame for 3D shape matching
j name, 2019

Oshri Halimi, Or Litany, Emanuele Rodolà, Alex Bronstein, and Ron Kimmel.
Unsupervised learning of dense shape correspondence
b title, 2019

F. Bergamasco, A. Albarelli, L. Cosmo, E. Rodolà, and A. Torsello
An accurate and robust artificial marker based on cyclic codes
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016

A. Caputo, A. Giachetti, F. Giannini, K. Lupinetti, M. Monti, M. Pegoraro, A. Ranieri
SFINGE 3D: A novel benchmark for online detection and recognition of heterogeneous hand gestures from 3D fingers’ trajectories
Computers & Graphics, 2020

D. Boscaini, J. Masci, E. Rodolà, M. M. Bronstein, and D. Cremers
Anisotropic diffusion descriptors
Computer Graphics Forum (CGF), 2016

M. Vestner, E. Rodolà, S. Rota Bulò, T. Windheuser, and D. Cremers
Applying random forests to the problem of dense non-rigid shape correspondence
Mathematics and Visualization – Perspectives in Shape Analysis, 2016

E. Rodolà, M. Moeller, and D. Cremers
Point-wise map recovery and refinement from functional correspondence
Int’l Symposium on Vision, Modeling and Visualization (VMV), Aachen, Germany, Oct, 2015

F. Bergamasco, A. Albarelli, L. Cosmo, A. Torsello, E. Rodolà, and D. Cremers
Adopting an unconstrained ray model in light-field cameras for 3d shape reconstruction
Proc. Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Boston, US, Jun, 2015

R. Mecca, E. Rodolà, and D. Cremers
Realistic photometric stereo using partial differential irradiance equation ratios
Computers & Graphics (CAG), 2015

E. Rodolà, A. Albarelli, D. Cremers, and A. Torsello
A simple and effective relevance-based point sampling for 3d shapes
Pattern Recognition Letters (PRL), 2015

A. Albarelli, E. Rodolà, and A. Torsello
Fast and accurate surface alignment through an isometryenforcing game
Pattern Recognition (PR), 2015

R. Mecca, E. Rodolà, and D. Cremers
Analysis of surface parametrizations for modern photometric stereo modeling
Proc. Int’l Conference on Quality Control by Artificial Vision Workshops (QCAV - Photometric Stereo: from Theory to Industral Applications), Le Creusot, France, Jun, 2015

E. Rodolà, S. Rota Bulò, and D. Cremers
Robust region detection via consensus segmentation of deformable shapes
Computer Graphics Forum (CGF), 2014

M. Andreux, E. Rodolà, M. Aubry, and D. Cremers
Anisotropic laplace-beltrami operators for shape analysis
Proc. European Conference on Computer Vision Workshops (ECCV - NORDIA), Zurich, Switzerland, Sep, 2014

T. Windheuser, M. Vestner, E. Rodolà, R. Triebel, and D. Cremers
Optimal intrinsic descriptors for non-rigid shape analysis
Proc. British Machine Vision Conference (BMVC), Nottingham, UK, Sep, 2014

A. Kanezaki, E. Rodolà, D. Cremers, and T. Harada
Learning similarities for rigid and non-rigid object detection
Proc. Int’l Conference on 3D Vision (3DV), Tokyo, Japan, Dec, 2014

E. Rodolà, S. Rota Bulò, T. Windheuser, M. Vestner, and D. Cremers
Dense non-rigid shape correspondence using random forests
Proc. Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, US, Jun, 2014

A. Torsello, A. Albarelli, and E. Rodolà
Stable and fast techniques for unambiguous compound phase coding
Image and Vision Computing (IVC), 2013

E. Rodolà, A. Albarelli, F. Bergamasco, and A. Torsello
A scale independent selection process for 3d object recognition in cluttered scenes
International Journal of Computer Vision (IJCV), 2013

E. Rodolà, A. Torsello, T. Harada, Y. Kuniyoshi, and D. Cremers
Elastic net constraints for shape matching
Proc. Int’l Conference on Computer Vision (ICCV), Sydney, Australia, Dec, 2013

E. Rodolà, T. Harada, Y. Kuniyoshi, and D. Cremers
Efficient shape matching using vector extrapolation
Proc. British Machine Vision Conference (BMVC), Bristol, UK, Sep, 2013

F. Bergamasco, A. Albarelli, E. Rodolà, and A. Torsello
Can a fully unconstrained imaging model be applied effectively to central cameras?
Proc. Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Portland, US, Jun, 2013

M. Pelillo, S. Rota Bulò, A. Torsello, A. Albarelli, and E. Rodolà
A game-theoretic approach to pairwise clustering and matching
Similarity-Based Pattern Analysis and Recognition, 2013

E. Rodolà, A. M. Bronstein, A. Albarelli, F. Bergamasco, and A. Torsello
A game-theoretic approach to deformable shape matching
Proc. Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Providence, US, Jun, 2012

A. Albarelli, E. Rodolà, and A. Torsello
Imposing semi-local geometric constraints for accurate correspondences selection in structure from motion: a game-theoretic perspective
International Journal of Computer Vision (IJCV), 2012

A. Torsello, E. Rodolà, and A. Albarelli
Multiview registration via graph diffusion of dual quaternions
Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, US, Jun, 2011

F. Bergamasco, A. Albarelli, E. Rodolà, and A. Torsello
A high accuracy fiducial marker with strong occlusion resilience
Proc. Int’l Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, US, Jun, 2011

A. Albarelli, E. Rodolà, F. Bergamasco, and A. Torsello
A non-cooperative game for 3d object recognition in cluttered scenes
Proc. Int’l Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), Hangzhou, China, May, 2011

A. Torsello, E. Rodolà, and A. Albarelli
Sampling relevant points for surface registration
Proc. Int’l Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), Hangzhou, China, May, 2011

I. Agresti, D. Poderini, L. Guerini, M. Mancusi, G. Carvacho, L. Aolita, D. Cavalcanti, R. Chaves, F. Sciarrino
Experimental device-independent certified randomness generation with an instrumental causal structure
Communications Physics, 2020

A. Albarelli, E. Rodolà, and A. Torsello
Loosely distinctive features for robust surface alignment
Proc. European Conference on Computer Vision (ECCV), Heraklion, Greece, Sep, 2010

A. Albarelli, E. Rodolà, and A. Torsello
Robust camera calibration using inaccurate targets
Proc. British Machine Vision Conference (BMVC), Aberystwyth, UK, Aug, 2010

E. Rodolà, A. Albarelli, and A. Torsello
A game-theoretic approach to the enforcement of global consistency in multi-view feature matching
Proc. Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), Istanbul, Turkey, Aug, 2010

E. Rodolà, A. Albarelli, and A. Torsello
A game-theoretic approach to robust selection of multiview point correspondence
Proc. Int’l Conference on Pattern Recognition (ICPR), Istanbul, Turkey, Aug, 2010

A. Albarelli, E. Rodolà, A. Cavallarin, and A. Torsello
Robust figure extraction on textured background: a game-theoretic approach
Proc. Int’l Conference on Pattern Recognition (ICPR), Istanbul, Turkey, Aug, 2010

A. Albarelli, E. Rodolà, and A. Torsello
A game-theoretic approach to fine surface registration without initial motion estimation
Proc. Int’l Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, US, Jun, 2010

A. Albarelli, E. Rodolà, and A. Torsello
Robust game-theoretic inlier selection for bundle adjustment
Proc. Int’l Symposium on 3D Data Processing, Visualization and Transmission (3DPVT), Paris, France, May, 2010

A. Albarelli, E. Rodolà, S. Rota Bulò, and A. Torsello
Fast 3d surface reconstruction by unambiguous compound phase coding
Proc. Int’l Conference on Computer Vision Workshops (ICCV - 3DIM), Kyoto, Japan, Oct, 2009 - Also presented at 7th EUROGRAPHICS Italian Chapter Conference (EGIT 2009)

F. Maggioli, T. Mancini, E. Tronci
SBML2Modelica: integrating biochemical models within open-standard simulation ecosystems
Bioinformatics, 2020

A. Santilli, D. Croce, R. Basili
A kernel-based approach for irony and sarcasm detection in Italian
EVALITA Evaluation of NLP and Speech Tools for Italian, 2018

M. De Marsico, L. Moschella, A. Sterbini, M. Temperini
Effects of Network Topology on the OpenAnswer’s Bayesian Model of Peer Assessment
European Conference on Technology Enhanced Learning, 2017

G. Roffo, S. Melzi, U. Castellani, A. Vinciarelli
Infinite latent feature selection: A probabilistic latent graph-based ranking approach
International Conference on Computer Vision (ICCV), 2017

M. De Marsico, L. Moschella, A. Sterbini, M. Temperini
Performance variations of the Bayesian model of peer-assessment implemented in OpenAnswer response to modifications of the number of peers assessed and of the quality of the class
Information Technology Based Higher Education and Training (ITHET), 2017

M. Kristan, A. Leonardis, J. Matas, M. Felsberg, R. Pflugfelder, G. Roffo, S. Melzi, et. al
The Visual Object Tracking VOT2016 Challenge Results
Computer Vision (ECCV) 2016 Workshops, 2016

G. Roffo, S. Melzi, M. Cristani
Infinite Feature Selection
IEEE International Conference on Computer Vision (ICCV), 2015

D. Boscaini, J. Masci, S. Melzi, M. M. Bronstein, U. Castellani, P. Vandergheynst
ACNP Full Text Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks
Computer Graphics Forum, 2015