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2020 – today
- 2022
[j28]Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello:
3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature. Int. J. Comput. Vis. 130(6): 1474-1493 (2022)- [j27]Danilo Avola
, Luigi Cinque, Alessio Fagioli, Sebastiano Filetti, Giorgio Grani, Emanuele Rodolà:
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2527-2534 (2022) - [c59]Emanuele Rodolà, Luca Cosmo, Maks Ovsjanikov, Arianna Rampini, Simone Melzi, Michael M. Bronstein, Riccardo Marin:
Inverse Computational Spectral Geometry. Eurographics (Tutorials) 2022 - [i40]Michele Mancusi, Nicola Zonca, Emanuele Rodolà, Silvia Zuffi:
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation. CoRR abs/2201.05013 (2022) - [i39]Antonio Norelli, Giorgio Mariani, Luca Moschella, Andrea Santilli, Giambattista Parascandolo, Simone Melzi, Emanuele Rodolà:
Explanatory Learning: Beyond Empiricism in Neural Networks. CoRR abs/2201.10222 (2022) - [i38]Niloofar Azizi, Horst Possegger, Emanuele Rodolà, Horst Bischof:
3D Human Pose Estimation Using Möbius Graph Convolutional Networks. CoRR abs/2203.10554 (2022) - [i37]Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà:
Harnessing spectral representations for subgraph alignment. CoRR abs/2205.14938 (2022) - [i36]Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà:
Metric Based Few-Shot Graph Classification. CoRR abs/2206.03695 (2022) - [i35]Stefano Esposito, Daniele Baieri, Stefan Zellmann, André Hinkenjann, Emanuele Rodolà:
KiloNeuS: Implicit Neural Representations with Real-Time Global Illumination. CoRR abs/2206.10885 (2022) - 2021
- [j26]Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov:
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis. Comput. Graph. Forum 40(1): 165-179 (2021) - [j25]Filippo Maggioli, Simone Melzi, Maksim Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà:
Orthogonalized Fourier Polynomials for Signal Approximation and Transfer. Comput. Graph. Forum 40(2): 435-447 (2021) - [j24]Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi:
Spectral Shape Recovery and Analysis Via Data-driven Connections. Int. J. Comput. Vis. 129(10): 2745-2760 (2021) - [c58]Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo:
Cluster-Driven Graph Federated Learning Over Multiple Domains. CVPR Workshops 2021: 2749-2758 - [c57]Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Universal Spectral Adversarial Attacks for Deformable Shapes. CVPR 2021: 3216-3226 - [c56]Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Learning disentangled representations via product manifold projection. ICML 2021: 3530-3540 - [c55]Viviana Arrigoni, Filippo Maggioli, Annalisa Massini, Emanuele Rodolà:
Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose. ICPP 2021: 56:1-56:12 - [c54]Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà:
Shape Registration in the Time of Transformers. NeurIPS 2021: 5731-5744 - [i34]Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Learning disentangled representations via product manifold projection. CoRR abs/2103.01638 (2021) - [i33]Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà:
Spectral Unions of Partial Deformable 3D Shapes. CoRR abs/2104.00514 (2021) - [i32]Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Universal Spectral Adversarial Attacks for Deformable Shapes. CoRR abs/2104.03356 (2021) - [i31]Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo:
Cluster-driven Graph Federated Learning over Multiple Domains. CoRR abs/2104.14628 (2021) - [i30]Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà:
Shape registration in the time of transformers. CoRR abs/2106.13679 (2021) - [i29]Marco Pegoraro, Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
Learning to generate shape from global-local spectra. CoRR abs/2108.02161 (2021) - [i28]Michele Mancusi, Emilian Postolache, Marco Fumero, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Unsupervised Source Separation via Bayesian Inference in the Latent Domain. CoRR abs/2110.05313 (2021) - [i27]Viviana Arrigoni, Filippo Maggioli, Annalisa Massini, Emanuele Rodolà:
Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose. CoRR abs/2110.13042 (2021) - [i26]Riccardo Marin, Souhaib Attaiki, Simone Melzi, Emanuele Rodolà, Maks Ovsjanikov:
Why you should learn functional basis. CoRR abs/2112.07289 (2021) - [i25]Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello:
Graph Kernel Neural Networks. CoRR abs/2112.07436 (2021) - 2020
- [j23]Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
FARM: Functional Automatic Registration Method for 3D Human Bodies. Comput. Graph. Forum 39(1): 160-173 (2020) - [j22]Emilian Postolache, Marco Fumero, Luca Cosmo, Emanuele Rodolà:
A parametric analysis of discrete Hamiltonian functional maps. Comput. Graph. Forum 39(5): 103-118 (2020) - [j21]Giorgio Mariani, Luca Cosmo, Alexander M. Bronstein, Emanuele Rodolà:
Generating Adversarial Surfaces via Band-Limited Perturbations. Comput. Graph. Forum 39(5): 253-264 (2020) - [j20]Danilo Avola, Marco Cascio, Luigi Cinque, Gian Luca Foresti, Cristiano Massaroni, Emanuele Rodolà:
2-D Skeleton-Based Action Recognition via Two-Branch Stacked LSTM-RNNs. IEEE Trans. Multim. 22(10): 2481-2496 (2020) - [j19]Marco Fumero, Michael Möller, Emanuele Rodolà:
Nonlinear spectral geometry processing via the TV transform. ACM Trans. Graph. 39(6): 199:1-199:16 (2020) - [c53]Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi:
Instant recovery of shape from spectrum via latent space connections. 3DV 2020: 120-129 - [c52]Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà:
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. ECCV (3) 2020: 19-35 - [c51]Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel:
Towards Precise Completion of Deformable Shapes. ECCV (24) 2020: 359-377 - [i24]Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel:
The Whole Is Greater Than the Sum of Its Nonrigid Parts. CoRR abs/2001.09650 (2020) - [i23]Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi:
Instant recovery of shape from spectrum via latent space connections. CoRR abs/2003.06523 (2020) - [i22]Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà:
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. CoRR abs/2003.12283 (2020) - [i21]Danilo Avola, Luigi Cinque, Alessio Fagioli, Sebastiano Filetti, Giorgio Grani, Emanuele Rodolà:
Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification. CoRR abs/2005.14117 (2020) - [i20]Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov:
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis. CoRR abs/2007.11632 (2020) - [i19]Marco Fumero, Michael Möller, Emanuele Rodolà:
Nonlinear Spectral Geometry Processing via the TV Transform. CoRR abs/2009.03044 (2020) - [i18]Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
High-Resolution Augmentation for Automatic Template-Based Matching of Human Models. CoRR abs/2009.09312 (2020) - [i17]Or Litany, Emanuele Rodolà, Alex M. Bronstein, Michael M. Bronstein, Daniel Cremers:
Non-Rigid Puzzles. CoRR abs/2011.13076 (2020)
2010 – 2019
- 2019
- [j18]Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation On Product Manifolds. Comput. Graph. Forum 38(1): 678-689 (2019) - [j17]Simone Melzi, Jing Ren, Emanuele Rodolà, Abhishek Sharma, Peter Wonka, Maks Ovsjanikov:
ZoomOut: spectral upsampling for efficient shape correspondence. ACM Trans. Graph. 38(6): 155:1-155:14 (2019) - [c50]Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà:
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. 3DV 2019: 37-46 - [c49]Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
High-Resolution Augmentation for Automatic Template-Based Matching of Human Models. 3DV 2019: 230-239 - [c48]Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang:
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 2019: 111-119 - [c47]Simone Melzi, Riccardo Marin, Emanuele Rodolà, Umberto Castellani, Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov:
Matching Humans with Different Connectivity. 3DOR@Eurographics 2019: 121-128 - [c46]Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Unsupervised Learning of Dense Shape Correspondence. CVPR 2019: 4370-4379 - [c45]Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi di Stefano, Emanuele Rodolà:
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching. CVPR 2019: 4629-4638 - [c44]Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà:
Isospectralization, or How to Hear Shape, Style, and Correspondence. CVPR 2019: 7529-7538 - [c43]Michael M. Bronstein, Leonidas J. Guibas, Iasonas Kokkinos, Or Litany, Niloy J. Mitra, Federico Monti, Emanuele Rodolà:
Deep Learning for Computer Graphics and Geometry Processing. Eurographics (Tutorials) 2019: 43 - [i16]Simone Melzi, Jing Ren, Emanuele Rodolà, Peter Wonka, Maks Ovsjanikov:
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence. CoRR abs/1904.07865 (2019) - [i15]Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà:
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. CoRR abs/1906.06226 (2019) - 2018
- [j16]Dorian Nogneng, Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein, Maks Ovsjanikov:
Improved Functional Mappings via Product Preservation. Comput. Graph. Forum 37(2): 179-190 (2018) - [j15]Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein:
Localized Manifold Harmonics for Spectral Shape Analysis. Comput. Graph. Forum 37(6): 20-34 (2018) - [c42]Emanuele Rodolà:
Structured Prediction of Dense Maps between Geometric Domains. ICASSP 2018: 6867-6871 - [c41]Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps on Product Manifolds. SGP (Posters) 2018: 9-10 - [i14]Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
FARM: Functional Automatic Registration Method for 3D Human Bodies. CoRR abs/1807.10517 (2018) - [i13]Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation on Product Manifolds. CoRR abs/1809.10940 (2018) - [i12]Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà:
Isospectralization, or how to hear shape, style, and correspondence. CoRR abs/1811.11465 (2018) - [i11]Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Self-supervised Learning of Dense Shape Correspondence. CoRR abs/1812.02415 (2018) - 2017
- [j14]Luca Cosmo, Emanuele Rodolà, Andrea Albarelli, Facundo Mémoli, Daniel Cremers:
Consistent Partial Matching of Shape Collections via Sparse Modeling. Comput. Graph. Forum 36(1): 209-221 (2017) - [j13]Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein, Andrea Torsello, Daniel Cremers:
Partial Functional Correspondence. Comput. Graph. Forum 36(1): 222-236 (2017) - [j12]Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein:
Fully Spectral Partial Shape Matching. Comput. Graph. Forum 36(2): 247-258 (2017) - [j11]Emanuele Rodolà, Michael Möller, Daniel Cremers:
Regularized Pointwise Map Recovery from Functional Correspondence. Comput. Graph. Forum 36(8): 700-711 (2017) - [c40]Andrea Gasparetto, Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello:
Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations. 3DV 2017: 477-485 - [c39]Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers:
Efficient Deformable Shape Correspondence via Kernel Matching. 3DV 2017: 517-526 - [c38]Emanuele Rodolà, Luca Cosmo, Or Litany, Michael M. Bronstein, Alexander M. Bronstein, Nicolas Audebert, A. Ben Hamza, Alexandre Boulch, Umberto Castellani, Minh N. Do, Duc Anh Duong, Takahiko Furuya, Andrea Gasparetto, Y. Hong, J. Kim, Bertrand Le Saux, Roee Litman, Majid Masoumi, Giorgia Minello, Hai-Dang Nguyen, V.-T. Nguyen, Ryutarou Ohbuchi, Viet-Khoi Pham, Thuyen V. Phan, M. Rezaei, Andrea Torsello, Minh-Triet Tran, Q. T. Tran, Bao Truong, L. Wan, Changqing Zou:
Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 2017 - [c37]Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein:
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs. CVPR 2017: 5425-5434 - [c36]Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers:
Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space. CVPR 2017: 6681-6690 - [c35]Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein:
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. ICCV 2017: 5660-5668 - [c34]Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein:
Localized Manifold Harmonics for Spectral Shape Analysis. SGP (Posters) 2017: 5-6 - [c33]Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein:
Computing and processing correspondences with functional maps. SIGGRAPH Courses 2017: 5:1-5:62 - [i10]Matthias Vestner, Roee Litman, Emanuele Rodolà, Alexander M. Bronstein, Daniel Cremers:
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space. CoRR abs/1701.00669 (2017) - [i9]Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein:
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. CoRR abs/1704.08686 (2017) - [i8]Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein:
Localized Manifold Harmonics for Spectral Shape Analysis. CoRR abs/1707.02596 (2017) - [i7]Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers:
Efficient Deformable Shape Correspondence via Kernel Matching. CoRR abs/1707.08991 (2017) - 2016
- [j10]Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers:
Anisotropic Diffusion Descriptors. Comput. Graph. Forum 35(2): 431-441 (2016) - [j9]Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers:
Non-Rigid Puzzles. Comput. Graph. Forum 35(5): 135-143 (2016) - [j8]Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Emanuele Rodolà, Andrea Torsello:
An Accurate and Robust Artificial Marker Based on Cyclic Codes. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2359-2373 (2016) - [c32]Luca Cosmo, Emanuele Rodolà, Jonathan Masci, Andrea Torsello, Michael M. Bronstein:
Matching Deformable Objects in Clutter. 3DV 2016: 1-10 - [c31]Davide Eynard, Emanuele Rodolà, Klaus Glashoff, Michael M. Bronstein:
Coupled Functional Maps. 3DV 2016: 399-407 - [c30]Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein:
Shape Analysis with Anisotropic Windowed Fourier Transform. 3DV 2016: 470-478 - [c29]Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello, Daniel Cremers, Yusuf Sahillioglu:
Partial Matching of Deformable Shapes. 3DOR@Eurographics 2016 - [c28]Zorah Lähner, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers, Oliver Burghard, Luca Cosmo, Alexander Dieckmann, Reinhard Klein, Yusuf Sahillioglu:
Matching of Deformable Shapes with Topological Noise. 3DOR@Eurographics 2016 - [c27]Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers:
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CVPR 2016: 2185-2193 - [c26]Michael M. Bronstein, Evangelos Kalogerakis, Emanuele Rodolà, Jonathan Masci, Davide Boscaini:
Deep Learning for Shape Analysis. Eurographics (Tutorials) 2016 - [c25]Luca Cosmo, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello, Emanuele Rodolà, Daniel Cremers:
A game-theoretical approach for joint matching of multiple feature throughout unordered images. ICPR 2016: 3715-3720 - [c24]Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein:
Learning shape correspondence with anisotropic convolutional neural networks. NIPS 2016: 3189-3197 - [c23]Jonathan Masci, Emanuele Rodolà, Davide Boscaini, Michael M. Bronstein, Hao Li:
Geometric deep learning. SIGGRAPH ASIA Courses 2016: 1:1-1:50 - [c22]Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein:
Computing and processing correspondences with functional maps. SIGGRAPH ASIA Courses 2016: 9:1-9:60 - [p2]Matthias Vestner, Emanuele Rodolà, Thomas Windheuser, Samuel Rota Bulò, Daniel Cremers:
Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence. Perspectives in Shape Analysis 2016: 231-248 - [i6]Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers:
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CoRR abs/1601.06070 (2016) - [i5]Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein:
Learning shape correspondence with anisotropic convolutional neural networks. CoRR abs/1605.06437 (2016) - [i4]Matthias Vestner, Roee Litman, Alexander M. Bronstein, Emanuele Rodolà, Daniel Cremers:
Bayesian Inference of Bijective Non-Rigid Shape Correspondence. CoRR abs/1607.03425 (2016) - [i3]Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein:
Geometric deep learning on graphs and manifolds using mixture model CNNs. CoRR abs/1611.08402 (2016) - 2015
- [j7]Roberto Mecca, Emanuele Rodolà, Daniel Cremers:
Realistic photometric stereo using partial differential irradiance equation ratios. Comput. Graph. 51: 8-16 (2015) - [j6]Andrea Albarelli, Emanuele Rodolà, Andrea Torsello:
Fast and accurate surface alignment through an isometry-enforcing game. Pattern Recognit. 48(7): 2209-2226 (2015) - [j5]Emanuele Rodolà, Andrea Albarelli, Daniel Cremers, Andrea Torsello:
A simple and effective relevance-based point sampling for 3D shapes. Pattern Recognit. Lett. 59: 41-47 (2015) - [c21]Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Torsello, Emanuele Rodolà, Daniel Cremers:
Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction. CVPR 2015: 3003-3012 - [c20]Emanuele Rodolà, Michael Möller, Daniel Cremers:
Point-wise Map Recovery and Refinement from Functional Correspondence. VMV 2015: 25-32 - [i2]Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein, Andrea Torsello, Daniel Cremers:
Partial Functional Correspondence. CoRR abs/1506.05274 (2015) - [i1]Emanuele Rodolà, Michael Möller, Daniel Cremers:
Point-wise Map Recovery and Refinement from Functional Correspondence. CoRR abs/1506.05603 (2015) - 2014
- [j4]Emanuele Rodolà, Samuel Rota Bulò, Daniel Cremers:
Robust Region Detection via Consensus Segmentation of Deformable Shapes. Comput. Graph. Forum 33(5): 97-106 (2014) - [c19]Asako Kanezaki, Emanuele Rodolà, Daniel Cremers, Tatsuya Harada:
Learning Similarities for Rigid and Non-rigid Object Detection. 3DV 2014: 720-727 - [c18]Thomas Windheuser, Matthias Vestner, Emanuele Rodolà, Rudolph Triebel, Daniel Cremers:
Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis. BMVC 2014 - [c17]Emanuele Rodolà, Samuel Rota Bulò, Thomas Windheuser, Matthias Vestner, Daniel Cremers:
Dense Non-rigid Shape Correspondence Using Random Forests. CVPR 2014: 4177-4184 - [c16]Mathieu Andreux, Emanuele Rodolà, Mathieu Aubry, Daniel Cremers:
Anisotropic Laplace-Beltrami Operators for Shape Analysis. ECCV Workshops (4) 2014: 299-312 - 2013
- [j3]Emanuele Rodolà, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello:
A Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes. Int. J. Comput. Vis. 102(1-3): 129-145 (2013) - [j2]Andrea Torsello, Andrea Albarelli, Emanuele Rodolà:
Stable and fast techniques for unambiguous compound phase coding. Image Vis. Comput. 31(4): 341-356 (2013) - [c15]Emanuele Rodolà, Tatsuya Harada, Yasuo Kuniyoshi, Daniel Cremers:
Efficient Shape Matching using Vector Extrapolation. BMVC 2013 - [c14]Filippo Bergamasco, Andrea Albarelli, Emanuele Rodolà, Andrea Torsello:
Can a Fully Unconstrained Imaging Model Be Applied Effectively to Central Cameras? CVPR 2013: 1391-1398 - [c13]Emanuele Rodolà, Andrea Torsello, Tatsuya Harada, Yasuo Kuniyoshi, Daniel Cremers:
Elastic Net Constraints for Shape Matching. ICCV 2013: 1169-1176 - [p1]Marcello Pelillo, Samuel Rota Bulò, Andrea Torsello, Andrea Albarelli, Emanuele Rodolà:
A Game-Theoretic Approach to Pairwise Clustering and Matching. Similarity-Based Pattern Analysis and Recognition 2013: 179-216 - 2012
- [j1]Andrea Albarelli, Emanuele Rodolà, Andrea Torsello:
Imposing Semi-Local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: A Game-Theoretic Perspective. Int. J. Comput. Vis. 97(1): 36-53 (2012) - [c12]Emanuele Rodolà, Alexander M. Bronstein, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello:
A game-theoretic approach to deformable shape matching. CVPR 2012: 182-189 - 2011
- [c11]Andrea Albarelli, Emanuele Rodolà, Filippo Bergamasco, Andrea Torsello:
A Non-cooperative Game for 3D Object Recognition in Cluttered Scenes. 3DIMPVT 2011: 252-259 - [c10]Andrea Torsello, Emanuele Rodolà