Simone Melzi
Simone Melzi
Assistant Professor, Computer Science, University of Milano-Bicocca
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The Visual Object Tracking VOT2016 Challenge Results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, G Roffo, ...
Computer Vision – ECCV 2016 Workshops 9914, 777-823, 2016
Infinite Feature Selection
G Roffo, S Melzi, M Cristani
Proceedings of the IEEE International Conference on Computer Vision, 4202-4210, 2015
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
Infinite latent feature selection: A probabilistic latent graph-based ranking approach
G Roffo, S Melzi, U Castellani, A Vinciarelli
Proceedings of the IEEE International Conference on Computer Vision, 1398-1406, 2017
Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks
D Boscaini, J Masci, S Melzi, MM Bronstein, U Castellani, ...
Computer Graphics Forum 34 (5), 13-23, 2015
Zoomout: Spectral upsampling for efficient shape correspondence
S Melzi, J Ren, E Rodolà, A Sharma, P Wonka, M Ovsjanikov
ACM Transactions on Graphics (TOG) 38 (6), 155, 2019
Infinite Feature Selection: A Graph-based Feature Filtering Approach
G Roffo, S Melzi, U Castellani, A Vinciarelli, M Cristani
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Features selection via eigenvector centrality
G Roffo, S Melzi
Proceedings of New Frontiers in Mining Complex Patterns, 1-12, 2016
Ranking to learn: Feature ranking and selection via eigenvector centrality
G Roffo, S Melzi
New Frontiers in Mining Complex Patterns: 5th International Workshop, NFMCP …, 2017
Farm: Functional automatic registration method for 3d human bodies
R Marin, S Melzi, E Rodolà, U Castellani
Computer Graphics Forum 39 (1), 160-173, 2020
Localized manifold harmonics for spectral shape analysis
S Melzi, E Rodolà, U Castellani, MM Bronstein
Computer Graphics Forum 37 (6), 20-34, 2018
Shrec 2019: Matching humans with different connectivity
S Melzi, R Marin, E Rodolà, U Castellani, J Ren, A Poulenard, P Wonka, ...
Eurographics Workshop on 3D Object Retrieval 7, 3, 2019
Improved functional mappings via product preservation
D Nogneng, S Melzi, E Rodola, U Castellani, M Bronstein, M Ovsjanikov
Computer Graphics Forum 37 (2), 179-190, 2018
Correspondence learning via linearly-invariant embedding
R Marin, MJ Rakotosaona, S Melzi, M Ovsjanikov
Advances in Neural Information Processing Systems 33, 2020
Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence with Functional Maps
G Pai, J Ren, S Melzi, P Wonka, M Ovsjanikov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Shape registration in the time of transformers
G Trappolini, L Cosmo, L Moschella, R Marin, S Melzi, E Rodolà
Advances in Neural Information Processing Systems 34, 5731-5744, 2021
Online feature selection for visual tracking
G Roffo, S Melzi
The British Machine Vision Conference (BMVC), 1-12, 2016
SHREC’20: Shape correspondence with non-isometric deformations
RM Dyke, YK Lai, PL Rosin, S Zappalà, S Dykes, D Guo, K Li, R Marin, ...
Computers & Graphics 92, 28-43, 2020
MapTree: recovering multiple solutions in the space of maps.
J Ren, S Melzi, M Ovsjanikov, P Wonka
ACM Trans. Graph. 39 (6), 264:1-264:17, 2020
Discrete time evolution process descriptor for shape analysis and matching
S Melzi, M Ovsjanikov, G Roffo, M Cristani, U Castellani
ACM Transactions on Graphics (TOG) 37 (1), 1-18, 2018
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