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2020 – today
- 2023
[j5]Pietro Astolfi
, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Supervised tractogram filtering using Geometric Deep Learning. Medical Image Anal. 90: 102893 (2023)- 2022
- [i27]Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Supervised Tractogram Filtering using Geometric Deep Learning. CoRR abs/2212.03300 (2022) - 2021
- [i26]Timothy Atkinson, Saeed Saremi, Faustino J. Gomez, Jonathan Masci:
Automatic design of novel potential 3CLpro and PLpro inhibitors. CoRR abs/2101.11890 (2021) - 2020
- [c32]Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci:
Deep Iterative Surface Normal Estimation. CVPR 2020: 11244-11253 - [c31]Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci:
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer. CVPR 2020: 13813-13822 - [c30]Jan Svoboda, Pietro Astolfi, Davide Boscaini, Jonathan Masci, Michael M. Bronstein:
Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition. IJCB 2020: 1-9 - [c29]Sebastian East, Marco Gallieri, Jonathan Masci, Jan Koutník, Mark Cannon:
Infinite-Horizon Differentiable Model Predictive Control. ICLR 2020 - [c28]Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege:
Deep Graph Matching Consensus. ICLR 2020 - [c27]Alessio Quaglino, Marco Gallieri, Jonathan Masci, Jan Koutník:
SNODE: Spectral Discretization of Neural ODEs for System Identification. ICLR 2020 - [c26]Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. MICCAI (7) 2020: 291-301 - [c25]Etienne Perot, Pierre de Tournemire, Davide Nitti, Jonathan Masci, Amos Sironi:
Learning to Detect Objects with a 1 Megapixel Event Camera. NeurIPS 2020 - [i25]Sebastian East, Marco Gallieri, Jonathan Masci, Jan Koutník, Mark Cannon:
Infinite-Horizon Differentiable Model Predictive Control. CoRR abs/2001.02244 (2020) - [i24]Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege:
Deep Graph Matching Consensus. CoRR abs/2001.09621 (2020) - [i23]Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Tractogram filtering of anatomically non-plausible fibers with geometric deep learning. CoRR abs/2003.11013 (2020) - [i22]Giorgio Giannone, Asha Anoosheh, Alessio Quaglino, Pierluca D'Oro, Marco Gallieri, Jonathan Masci:
Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs. CoRR abs/2004.03156 (2020) - [i21]Etienne Perot, Pierre de Tournemire, Davide Nitti, Jonathan Masci, Amos Sironi:
Learning to Detect Objects with a 1 Megapixel Event Camera. CoRR abs/2009.13436 (2020)
2010 – 2019
- 2019
- [c24]Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas:
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. ICLR (Poster) 2019 - [i20]Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci:
Differentiable Iterative Surface Normal Estimation. CoRR abs/1904.07172 (2019) - [i19]Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci:
Conditional Neural Style Transfer with Peer-Regularized Feature Transform. CoRR abs/1906.02913 (2019) - [i18]Timon Willi, Jonathan Masci, Jürgen Schmidhuber, Christian Osendorfer:
Recurrent Neural Processes. CoRR abs/1906.05915 (2019) - [i17]Alessio Quaglino, Marco Gallieri, Jonathan Masci, Jan Koutník:
Accelerating Neural ODEs with Spectral Elements. CoRR abs/1906.07038 (2019) - [i16]Marco Gallieri, Seyed Sina Mirrazavi Salehian, Nihat Engin Toklu, Alessio Quaglino, Jonathan Masci, Jan Koutník, Faustino J. Gomez:
Safe Interactive Model-Based Learning. CoRR abs/1911.06556 (2019) - [i15]Giorgio Giannone, Jonathan Masci, Christian Osendorfer:
No Representation without Transformation. CoRR abs/1912.03845 (2019) - 2018
- [c23]Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez:
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. NeurIPS 2018: 3029-3039 - [i14]Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez:
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. CoRR abs/1804.07209 (2018) - [i13]Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas:
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. CoRR abs/1806.00088 (2018) - [i12]Francesco Lattari, Marco Ciccone, Matteo Matteucci, Jonathan Masci, Francesco Visin:
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation. CoRR abs/1806.05510 (2018) - 2017
- [c22]Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein:
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs. CVPR 2017: 5425-5434 - 2016
- [j4]Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers:
Anisotropic Diffusion Descriptors. Comput. Graph. Forum 35(2): 431-441 (2016) - [c21]Luca Cosmo, Emanuele Rodolà, Jonathan Masci, Andrea Torsello, Michael M. Bronstein:
Matching Deformable Objects in Clutter. 3DV 2016: 1-10 - [c20]Michael M. Bronstein, Evangelos Kalogerakis, Emanuele Rodolà, Jonathan Masci, Davide Boscaini:
Deep Learning for Shape Analysis. Eurographics (Tutorials) 2016 - [c19]Jan Svoboda, Jonathan Masci, Michael M. Bronstein:
Palmprint recognition via discriminative index learning. ICPR 2016: 4232-4237 - [c18]Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein:
Learning shape correspondence with anisotropic convolutional neural networks. NIPS 2016: 3189-3197 - [c17]Jonathan Masci, Emanuele Rodolà, Davide Boscaini, Michael M. Bronstein, Hao Li:
Geometric deep learning. SIGGRAPH ASIA Courses 2016: 1:1-1:50 - [i11]Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein:
Learning shape correspondence with anisotropic convolutional neural networks. CoRR abs/1605.06437 (2016) - [i10]Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein:
Geometric deep learning on graphs and manifolds using mixture model CNNs. CoRR abs/1611.08402 (2016) - 2015
- [j3]Davide Boscaini, Jonathan Masci, Simone Melzi, Michael M. Bronstein, Umberto Castellani, Pierre Vandergheynst:
Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks. Comput. Graph. Forum 34(5): 13-23 (2015) - [c16]Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst:
Geodesic Convolutional Neural Networks on Riemannian Manifolds. ICCV Workshops 2015: 832-840 - [c15]Rupesh Kumar Srivastava, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber:
Understanding Locally Competitive Networks. ICLR (Poster) 2015 - [i9]Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst:
ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds. CoRR abs/1501.06297 (2015) - 2014
- [j2]Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber:
Multimodal Similarity-Preserving Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 36(4): 824-830 (2014) - [c14]Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber:
Deep Networks with Internal Selective Attention through Feedback Connections. NIPS 2014: 3545-3553 - [c13]Jonathan Masci, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Sparse similarity-preserving hashing. ICLR 2014 - [p1]Jonathan Masci, Davide Migliore, Michael M. Bronstein, Jürgen Schmidhuber:
Descriptor Learning for Omnidirectional Image Matching. Registration and Recognition in Images and Videos 2014: 49-62 - [i8]Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber:
Deep Networks with Internal Selective Attention through Feedback Connections. CoRR abs/1407.3068 (2014) - 2013
- [c12]Alessandro Giusti, Jonathan Masci, Paola M. V. Rancoita:
Quantifying challenging images of fiber-like structures. ICIP 2013: 1163-1166 - [c11]Jonathan Masci, Alessandro Giusti, Dan C. Ciresan, Gabriel Fricout, Jürgen Schmidhuber:
A fast learning algorithm for image segmentation with max-pooling convolutional networks. ICIP 2013: 2713-2717 - [c10]Alessandro Giusti, Dan C. Ciresan, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber:
Fast image scanning with deep max-pooling convolutional neural networks. ICIP 2013: 4034-4038 - [c9]Jonathan Masci, Ueli Meier, Gabriel Fricout, Jürgen Schmidhuber:
Multi-scale pyramidal pooling network for generic steel defect classification. IJCNN 2013: 1-8 - [c8]Jonathan Masci, Jesús Angulo, Jürgen Schmidhuber:
A Learning Framework for Morphological Operators Using Counter-Harmonic Mean. ISMM 2013: 329-340 - [c7]Rupesh Kumar Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino J. Gomez, Jürgen Schmidhuber:
Compete to Compute. NIPS 2013: 2310-2318 - [i7]Jonathan Masci, Alessandro Giusti, Dan C. Ciresan, Gabriel Fricout, Jürgen Schmidhuber:
A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks. CoRR abs/1302.1690 (2013) - [i6]Alessandro Giusti, Dan C. Ciresan, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber:
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks. CoRR abs/1302.1700 (2013) - 2012
- [j1]Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber:
Multi-column deep neural network for traffic sign classification. Neural Networks 32: 333-338 (2012) - [c6]Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jürgen Schmidhuber, Gabriel Fricout:
Steel defect classification with Max-Pooling Convolutional Neural Networks. IJCNN 2012: 1-6 - [i5]Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber:
Multimodal similarity-preserving hashing. CoRR abs/1207.1522 (2012) - [i4]Jonathan Masci, Ueli Meier, Gabriel Fricout, Jürgen Schmidhuber:
Object Recognition with Multi-Scale Pyramidal Pooling Networks. CoRR abs/1207.1765 (2012) - [i3]Jonathan Masci, Jesús Angulo, Jürgen Schmidhuber:
A Learning Framework for Morphological Operators using Counter-Harmonic Mean. CoRR abs/1212.2546 (2012) - 2011
- [c5]Jürgen Schmidhuber, Dan C. Ciresan, Ueli Meier, Jonathan Masci, Alex Graves:
On Fast Deep Nets for AGI Vision. AGI 2011: 243-246 - [c4]Varun Raj Kompella, Leo Pape, Jonathan Masci, Mikhail Frank, Jürgen Schmidhuber:
AutoIncSFA and vision-based developmental learning for humanoid robots. Humanoids 2011: 622-629 - [c3]Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jürgen Schmidhuber:
Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction. ICANN (1) 2011: 52-59 - [c2]Dan Claudiu Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber:
Flexible, High Performance Convolutional Neural Networks for Image Classification. IJCAI 2011: 1237-1242 - [c1]Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber:
A committee of neural networks for traffic sign classification. IJCNN 2011: 1918-1921 - [i2]Dan C. Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber:
High-Performance Neural Networks for Visual Object Classification. CoRR abs/1102.0183 (2011) - [i1]Jonathan Masci, Davide Migliore, Michael M. Bronstein, Jürgen Schmidhuber:
Descriptor learning for omnidirectional image matching. CoRR abs/1112.6291 (2011)
Coauthor Index
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