Jonathan Masci
Jonathan Masci
NNAISENSE SA
Verified email at nnaisense.com - Homepage
TitleCited byYear
Flexible, high performance convolutional neural networks for image classification
DC Ciresan, U Meier, J Masci, LM Gambardella, J Schmidhuber
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
9802011
Stacked convolutional auto-encoders for hierarchical feature extraction
J Masci, U Meier, D Cireşan, J Schmidhuber
International Conference on Artificial Neural Networks, 52-59, 2011
9522011
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
4032017
A committee of neural networks for traffic sign classification
D Cireşan, U Meier, J Masci, J Schmidhuber
The 2011 International Joint Conference on Neural Networks, 1918-1921, 2011
3442011
Geodesic convolutional neural networks on riemannian manifolds
J Masci, D Boscaini, M Bronstein, P Vandergheynst
Proceedings of the IEEE international conference on computer vision …, 2015
3112015
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
2212016
Fast image scanning with deep max-pooling convolutional neural networks
A Giusti, DC Cireşan, J Masci, LM Gambardella, J Schmidhuber
2013 IEEE International Conference on Image Processing, 4034-4038, 2013
2182013
High-performance neural networks for visual object classification
DC Cireşan, U Meier, J Masci, LM Gambardella, J Schmidhuber
arXiv preprint arXiv:1102.0183, 2011
2082011
Multimodal similarity-preserving hashing
J Masci, MM Bronstein, AM Bronstein, J Schmidhuber
IEEE transactions on pattern analysis and machine intelligence 36 (4), 824-830, 2013
1682013
Deep networks with internal selective attention through feedback connections
MF Stollenga, J Masci, F Gomez, J Schmidhuber
Advances in neural information processing systems, 3545-3553, 2014
1652014
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
1322015
Compete to compute
RK Srivastava, J Masci, S Kazerounian, F Gomez, J Schmidhuber
Advances in neural information processing systems, 2310-2318, 2013
1262013
Steel defect classification with max-pooling convolutional neural networks
J Masci, U Meier, D Ciresan, J Schmidhuber, G Fricout
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-6, 2012
1202012
Anisotropic diffusion descriptors
D Boscaini, J Masci, E Rodolà, MM Bronstein, D Cremers
Computer Graphics Forum 35 (2), 431-441, 2016
742016
A fast learning algorithm for image segmentation with max-pooling convolutional networks
J Masci, A Giusti, D Ciresan, G Fricout, J Schmidhuber
2013 IEEE International Conference on Image Processing, 2713-2717, 2013
562013
Shapenet: Convolutional neural networks on non-euclidean manifolds
J Masci, D Boscaini, M Bronstein, P Vandergheynst
362015
Understanding locally competitive networks
RK Srivastava, J Masci, F Gomez, J Schmidhuber
arXiv preprint arXiv:1410.1165, 2014
342014
Matching deformable objects in clutter
L Cosmo, E Rodola, J Masci, A Torsello, MM Bronstein
2016 Fourth International Conference on 3D Vision (3DV), 1-10, 2016
262016
Sparse similarity-preserving hashing
J Masci, AM Bronstein, MM Bronstein, P Sprechmann, G Sapiro
arXiv preprint arXiv:1312.5479, 2013
262013
Geometric deep learning
J Masci, E Rodolà, D Boscaini, MM Bronstein, H Li
SIGGRAPH ASIA 2016 Courses, 1, 2016
232016
The system can't perform the operation now. Try again later.
Articles 1–20