Jonathan Masci

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 36

Top Topics

Convolutional Neural Networks

Algorithm For Image Segmentation

Deformable Shapes

Top Venues

Publications

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 (2023)
Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani
Supervised Tractogram Filtering using Geometric Deep Learning. CoRR (2022)
Timothy Atkinson, Saeed Saremi, Faustino J. Gomez, Jonathan Masci
inhibitors. CoRR (2021)
Sebastian East, Marco Gallieri, Jonathan Masci, Jan Koutník, Mark Cannon
Infinite-Horizon Differentiable Model Predictive Control. CoRR (2020)
Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege
Deep Graph Matching Consensus. CoRR (2020)
Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer. CVPR (2020)
Etienne Perot, Pierre de Tournemire, Davide Nitti, Jonathan Masci, Amos Sironi
Learning to Detect Objects with a 1 Megapixel Event Camera. NeurIPS (2020)
Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege
Deep Graph Matching Consensus. ICLR (2020)
Sebastian East, Marco Gallieri, Jonathan Masci, Jan Koutník, Mark Cannon
Infinite-Horizon Differentiable Model Predictive Control. ICLR (2020)
Jan Svoboda, Pietro Astolfi, Davide Boscaini, Jonathan Masci, Michael M. Bronstein
Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition. IJCB (2020)
Etienne Perot, Pierre de Tournemire, Davide Nitti, Jonathan Masci, Amos Sironi
Learning to Detect Objects with a 1 Megapixel Event Camera. CoRR (2020)
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)
Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci
Deep Iterative Surface Normal Estimation. CVPR (2020)
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 (2020)
Alessio Quaglino, Marco Gallieri, Jonathan Masci, Jan Koutník
SNODE: Spectral Discretization of Neural ODEs for System Identification. ICLR (2020)
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 (2020)
Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci
Conditional Neural Style Transfer with Peer-Regularized Feature Transform. CoRR (2019)
Alessio Quaglino, Marco Gallieri, Jonathan Masci, Jan Koutník
Accelerating Neural ODEs with Spectral Elements. CoRR (2019)
Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci
Differentiable Iterative Surface Normal Estimation. CoRR (2019)
Marco Gallieri, Seyed Sina Mirrazavi Salehian, Nihat Engin Toklu, Alessio Quaglino, Jonathan Masci, Jan Koutník, Faustino J. Gomez
Safe Interactive Model-Based Learning. CoRR (2019)
Giorgio Giannone, Jonathan Masci, Christian Osendorfer
No Representation without Transformation. CoRR (2019)
Timon Willi, Jonathan Masci, Jürgen Schmidhuber, Christian Osendorfer
Recurrent Neural Processes. CoRR (2019)
Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. ICLR (Poster) (2019)
Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. NeurIPS (2018)
Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. CoRR (2018)
Francesco Lattari, Marco Ciccone, Matteo Matteucci, Jonathan Masci, Francesco Visin
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation. CoRR (2018)
Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. CoRR (2018)
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)
Michael M. Bronstein, Evangelos Kalogerakis, Emanuele Rodolà, Jonathan Masci, Davide Boscaini
Deep Learning for Shape Analysis. Eurographics (Tutorials) (2016)
Jan Svoboda, Jonathan Masci, Michael M. Bronstein
Palmprint recognition via discriminative index learning. ICPR (2016)
Luca Cosmo, Emanuele Rodolà, Jonathan Masci, Andrea Torsello, Michael M. Bronstein
Matching Deformable Objects in Clutter. 3DV (2016)
Jonathan Masci, Emanuele Rodolà, Davide Boscaini, Michael M. Bronstein, Hao Li
Geometric deep learning. SIGGRAPH ASIA Courses (2016)
Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein
Learning shape correspondence with anisotropic convolutional neural networks. CoRR (2016)
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 (2016)
Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein
Learning shape correspondence with anisotropic convolutional neural networks. NIPS (2016)
Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers
Anisotropic Diffusion Descriptors. Comput. Graph. Forum 35 (2) (2016)
Rupesh Kumar Srivastava, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber
Understanding Locally Competitive Networks. ICLR (Poster) (2015)
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) (2015)
Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst
Geodesic Convolutional Neural Networks on Riemannian Manifolds. ICCV Workshops (2015)
Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst
ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds. CoRR (2015)
Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber
Deep Networks with Internal Selective Attention through Feedback Connections. CoRR (2014)
Jonathan Masci, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
Sparse similarity-preserving hashing. ICLR (2014)
Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber
Deep Networks with Internal Selective Attention through Feedback Connections. NIPS (2014)
Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber
Multimodal Similarity-Preserving Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 36 (4) (2014)
Jonathan Masci, Alessandro Giusti, Dan C. Ciresan, Gabriel Fricout, Jürgen Schmidhuber
A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks CoRR (2013)
Alessandro Giusti, Jonathan Masci, Paola M. V. Rancoita
Quantifying challenging images of fiber-like structures. ICIP (2013)
Alessandro Giusti, Dan C. Ciresan, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber
Fast image scanning with deep max-pooling convolutional neural networks. ICIP (2013)
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)
Alessandro Giusti, Dan C. Ciresan, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks CoRR (2013)
Jonathan Masci, Jesús Angulo, Jürgen Schmidhuber
A Learning Framework for Morphological Operators Using Counter-Harmonic Mean. ISMM (2013)
Rupesh Kumar Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino J. Gomez, Jürgen Schmidhuber
Compete to Compute. NIPS (2013)
Jonathan Masci, Ueli Meier, Gabriel Fricout, Jürgen Schmidhuber
Multi-scale pyramidal pooling network for generic steel defect classification. IJCNN (2013)
Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jürgen Schmidhuber, Gabriel Fricout
Steel defect classification with Max-Pooling Convolutional Neural Networks. IJCNN (2012)
Jonathan Masci, Ueli Meier, Gabriel Fricout, Jürgen Schmidhuber
Object Recognition with Multi-Scale Pyramidal Pooling Networks CoRR (2012)
Jonathan Masci, Jesús Angulo, Jürgen Schmidhuber
A Learning Framework for Morphological Operators using Counter-Harmonic Mean CoRR (2012)
Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber
Multimodal similarity-preserving hashing CoRR (2012)
Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber
Multi-column deep neural network for traffic sign classification. Neural Networks 32 (2012)
Dan C. Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber
High-Performance Neural Networks for Visual Object Classification CoRR (2011)
Jonathan Masci, Davide Migliore, Michael M. Bronstein, Jürgen Schmidhuber
Descriptor learning for omnidirectional image matching CoRR (2011)
Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber
A committee of neural networks for traffic sign classification. IJCNN (2011)
Varun Raj Kompella, Leo Pape, Jonathan Masci, Mikhail Frank, Jürgen Schmidhuber
AutoIncSFA and vision-based developmental learning for humanoid robots. Humanoids (2011)
Dan Claudiu Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber
Flexible, High Performance Convolutional Neural Networks for Image Classification. IJCAI (2011)
Jürgen Schmidhuber, Dan C. Ciresan, Ueli Meier, Jonathan Masci, Alex Graves
On Fast Deep Nets for AGI Vision. AGI (2011)
Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jürgen Schmidhuber
Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction. ICANN (1) (2011)