Emanuele Rodolà
Emanuele Rodolà
Assistant Professor, Computer Science, Sapienza University of Rome
Bestätigte E-Mail-Adresse bei di.uniroma1.it - Startseite
TitelZitiert vonJahr
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 Pattern …, 2017
4542017
Learning shape correspondence with anisotropic convolutional neural networks
D Boscaini, J Masci, E Rodolà, M Bronstein
Advances in neural information processing systems, 3189-3197, 2016
2312016
Dense Non-Rigid Shape Correspondence using Random Forests
E Rodolà, S Rota Bulò, T Windheuser, M Vestner, D Cremers
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014
1192014
Partial functional correspondence
E Rodolà, L Cosmo, MM Bronstein, A Torsello, D Cremers
Computer Graphics Forum 36 (1), 222-236, 2017
1032017
RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience
F Bergamasco, A Albarelli, E Rodolà, A Torsello
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, 113-120, 2011
862011
A scale independent selection process for 3d object recognition in cluttered scenes
E Rodolà, A Albarelli, F Bergamasco, A Torsello
International journal of computer vision 102 (1-3), 129-145, 2013
832013
Anisotropic diffusion descriptors
D Boscaini, J Masci, E Rodolà, MM Bronstein, D Cremers
Computer Graphics Forum 35 (2), 431-441, 2016
802016
Multiview registration via graph diffusion of dual quaternions
A Torsello, E Rodolà, A Albarelli
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011
772011
A Game-Theoretic Approach to Deformable Shape Matching
E Rodolà, AM Bronstein, A Albarelli, F Bergamasco, A Torsello
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012
712012
Deep functional maps: Structured prediction for dense shape correspondence
O Litany, T Remez, E Rodolà, A Bronstein, M Bronstein
Proceedings of the IEEE International Conference on Computer Vision, 5659-5667, 2017
662017
Imposing Semi-Local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: A Game-Theoretic Perspective
A Albarelli, E Rodolà, A Torsello
International journal of computer vision 97 (1), 36-53, 2012
642012
Robust Camera Calibration using Inaccurate Targets
A Albarelli, E Rodolà, A Torsello
21st British Machine Vision Conference 31 (2), 2010
562010
Product manifold filter: Non-rigid shape correspondence via kernel density estimation in the product space
M Vestner, R Litman, E Rodolà, A Bronstein, D Cremers
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
522017
Fully spectral partial shape matching
O Litany, E Rodolà, AM Bronstein, MM Bronstein
Computer Graphics Forum 36 (2), 247-258, 2017
462017
Non‐rigid puzzles
O Litany, E Rodolà, AM Bronstein, MM Bronstein, D Cremers
Computer Graphics Forum 35 (5), 135-143, 2016
462016
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
462013
A game-theoretic approach to fine surface registration without initial motion estimation
A Albarelli, E Rodolà, A Torsello
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, 430-437, 2010
432010
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
412017
Computing and processing correspondences with functional maps
M Ovsjanikov, E Corman, M Bronstein, E Rodolà, M Ben-Chen, L Guibas, ...
SIGGRAPH ASIA 2016 Courses, 9, 2016
392016
Fast and accurate surface alignment through an isometry-enforcing game
A Albarelli, E Rodolà, A Torsello
Pattern Recognition 48 (7), 2209-2226, 2015
392015
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20