Emanuele RodolÓ
Emanuele RodolÓ
Professor of Computer Science, Sapienza University of Rome
Verified email at di.uniroma1.it - Homepage
Title
Cited by
Cited by
Year
Geometric deep learning on graphs and manifolds using mixture model cnns
F Monti, D Boscaini, J Masci, E Rodola, J Svoboda, MM Bronstein
Proceedings of the IEEE conference on computer vision and patterná…, 2017
9752017
Learning shape correspondence with anisotropic convolutional neural networks
D Boscaini, J Masci, E RodoiÓ, M Bronstein
Proceedings of the 30th International Conference on Neural Informationá…, 2016
3852016
Partial functional correspondence
E RodolÓ, L Cosmo, MM Bronstein, A Torsello, D Cremers
Computer Graphics Forum 36 (1), 222-236, 2017
1602017
Dense Non-Rigid Shape Correspondence using Random Forests
E RodolÓ, S Rota Bul˛, T Windheuser, M Vestner, D Cremers
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014
1552014
Deep functional maps: Structured prediction for dense shape correspondence
O Litany, T Remez, E Rodola, A Bronstein, M Bronstein
Proceedings of the IEEE international conference on computer vision, 5659-5667, 2017
1282017
RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience
F Bergamasco, A Albarelli, E RodolÓ, A Torsello
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, 113-120, 2011
1182011
Anisotropic diffusion descriptors
D Boscaini, J Masci, E RodolÓ, MM Bronstein, D Cremers
Computer Graphics Forum 35 (2), 431-441, 2016
1172016
A scale independent selection process for 3d object recognition in cluttered scenes
E RodolÓ, A Albarelli, F Bergamasco, A Torsello
International journal of computer vision 102 (1), 129-145, 2013
1072013
Multiview registration via graph diffusion of dual quaternions
A Torsello, E RodolÓ, A Albarelli
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference oná…, 2011
942011
A Game-Theoretic Approach to Deformable Shape Matching
E RodolÓ, AM Bronstein, A Albarelli, F Bergamasco, A Torsello
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012
902012
Product manifold filter: Non-rigid shape correspondence via kernel density estimation in the product space
M Vestner, R Litman, E Rodola, A Bronstein, D Cremers
Proceedings of the IEEE conference on computer vision and patterná…, 2017
882017
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
P Gainza, F Sverrisson, F Monti, E Rodola, D Boscaini, MM Bronstein, ...
Nature Methods 17 (2), 184-192, 2020
852020
Imposing Semi-Local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: A Game-Theoretic Perspective
A Albarelli, E RodolÓ, A Torsello
International journal of computer vision 97 (1), 36-53, 2012
712012
Computing and processing correspondences with functional maps
M Ovsjanikov, E Corman, M Bronstein, E Rodola, M Ben-Chen, L Guibas, ...
ACM SIGGRAPH 2017 Courses, 1-62, 2017
692017
Fully spectral partial shape matching
O Litany, E RodolÓ, AM Bronstein, MM Bronstein
Computer Graphics Forum 36 (2), 247-258, 2017
692017
Computing and processing correspondences with functional maps
M Ovsjanikov, E Corman, M Bronstein, E RodolÓ, M Ben-Chen, L Guibas, ...
SIGGRAPH ASIA 2016 Courses, 9, 2016
692016
Robust Camera Calibration using Inaccurate Targets
A Albarelli, E RodolÓ, A Torsello
21st British Machine Vision Conference 31 (2), 2010
642010
Non‐rigid puzzles
O Litany, E RodolÓ, AM Bronstein, MM Bronstein, D Cremers
Computer Graphics Forum 35 (5), 135-143, 2016
622016
Efficient deformable shape correspondence via kernel matching
M Vestner, Z Lńhner, A Boyarski, O Litany, R Slossberg, T Remez, ...
2017 International Conference on 3D Vision (3DV), 517-526, 2017
57*2017
Elastic net constraints for shape matching
E Rodola, A Torsello, T Harada, Y Kuniyoshi, D Cremers
Proceedings of the IEEE international conference on computer vision, 1169-1176, 2013
552013
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Articles 1–20