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Samuel Rota Bulò
Samuel Rota Bulò
Research Scientist, Meta
Zweryfikowany adres z fb.com
Tytuł
Cytowane przez
Cytowane przez
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The mapillary vistas dataset for semantic understanding of street scenes
G Neuhold, T Ollmann, S Rota Bulò, P Kontschieder
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
9612017
Deep neural decision forests
P Kontschieder, M Fiterau, A Criminisi, S Rota Bulò
Proceedings of the IEEE International Conference on Computer Vision, 1467-1475, 2015
5252015
Disentangling Monocular 3D Object Detection
A Simonelli, S Rota Bulò, L Porzi, M López-Antequera, P Kontschieder
arXiv preprint arXiv:1905.12365, 2019
3392019
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
S Rota Bulò, L Porzi, P Kontschieder
arXiv preprint arXiv:1712.02616, 2017
305*2017
AutoDIAL: Automatic DomaIn Alignment Layers
F Maria Carlucci, L Porzi, B Caputo, E Ricci, S Rota Bulò
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
3032017
Structured class-labels in random forests for semantic image labelling
P Kontschieder, S Rota Bulò, H Bischof, M Pelillo
ICCV, 2011
2512011
A game-theoretic approach to hypergraph clustering
S Rota Bulò, M Pelillo
IEEE transactions on pattern analysis and machine intelligence 35 (6), 1312-1327, 2013
215*2013
A game-theoretic approach to hypergraph clustering
S Rota Bulò, M Pelillo
Advances in neural information processing systems, 1571-1579, 2009
215*2009
Dense Non-Rigid Shape Correspondence using Random Forests
E Rodolà, S Rota Bulò, T Windheuser, M Vestner, D Cremers
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
1812014
Seamless Scene Segmentation
L Porzi, S Rota Bulò, A Colovic, P Kontschieder
arXiv preprint arXiv:1905.01220, 2019
1592019
Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss
S Roy, A Siarohin, E Sangineto, S Rota Bulò, N Sebe, E Ricci
arXiv preprint arXiv:1903.03215, 2019
1472019
Neural Decision Forests for Semantic Image Labelling
S Rota Bulò, P Kontschieder
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
1452014
Boosting Domain Adaptation by Discovering Latent Domains
M Mancini, L Porzi, S Rota Bulò, B Caputo, E Ricci
arXiv preprint arXiv:1805.01386, 2018
1442018
Modeling the Background for Incremental Learning in Semantic Segmentation
F Cermelli, M Mancini, S Rota Bulò, E Ricci, B Caputo
arXiv preprint arXiv:2002.00718, 2020
1352020
Loss Max-Pooling for Semantic Image Segmentation
S Rota Bulò, G Neuhold, P Kontschieder
arXiv preprint arXiv:1704.02966, 2017
1302017
Is data clustering in adversarial settings secure?
B Biggio, I Pillai, S Rota Bulò, D Ariu, M Pelillo, F Roli
Proceedings of the 2013 ACM workshop on Artificial intelligence and security …, 2013
1272013
Predicting and understanding urban perception with convolutional neural networks
L Porzi, S Rota Bulò, B Lepri, E Ricci
Proceedings of the 23rd ACM international conference on Multimedia, 139-148, 2015
1082015
Matching as a non-cooperative game
A Albarelli, S Rota Bulò, A Torsello, M Pelillo
Computer Vision, 2009 IEEE 12th International Conference on, 1319-1326, 2009
1072009
Best sources forward: domain generalization through source-specific nets
M Mancini, S Rota Bulò, B Caputo, E Ricci
arXiv preprint arXiv:1806.05810, 2018
982018
Grouping with asymmetric affinities: A game-theoretic perspective
A Torsello, S Rota Bulò, M Pelillo
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society …, 2006
952006
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