Jonathan Masci

According to our database, Jonathan Masci authored at least 51 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Supervised tractogram filtering using Geometric Deep Learning.

Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani

Medical Image Anal., December, 2023

2021

Automatic design of novel potential 3CL^pro and PL^pro inhibitors.

Timothy Atkinson, Saeed Saremi, Faustino J. Gomez, Jonathan Masci

CoRR, 2021

2020

Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs.

Giorgio Giannone, Asha Anoosheh, Alessio Quaglino, Pierluca D'Oro, Marco Gallieri, Jonathan Masci

CoRR, 2020

Learning to Detect Objects with a 1 Megapixel Event Camera.

Etienne Perot, Pierre de Tournemire, Davide Nitti, Jonathan Masci, Amos Sironi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning.

Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

SNODE: Spectral Discretization of Neural ODEs for System Identification.

Alessio Quaglino, Marco Gallieri, Jonathan Masci, Jan Koutník

Proceedings of the 8th International Conference on Learning Representations, 2020

Deep Graph Matching Consensus.

Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege

Proceedings of the 8th International Conference on Learning Representations, 2020

Infinite-Horizon Differentiable Model Predictive Control.

Sebastian East, Marco Gallieri, Jonathan Masci, Jan Koutník, Mark Cannon

Proceedings of the 8th International Conference on Learning Representations, 2020

Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition.

Jan Svoboda, Pietro Astolfi, Davide Boscaini, Jonathan Masci, Michael M. Bronstein

Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer.

Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Iterative Surface Normal Estimation.

Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

No Representation without Transformation.

Giorgio Giannone, Jonathan Masci, Christian Osendorfer

CoRR, 2019

Safe Interactive Model-Based Learning.

Marco Gallieri, Seyed Sina Mirrazavi Salehian, Nihat Engin Toklu, Alessio Quaglino, Jonathan Masci, Jan Koutník, Faustino J. Gomez

CoRR, 2019

Accelerating Neural ODEs with Spectral Elements.

Alessio Quaglino, Marco Gallieri, Jonathan Masci, Jan Koutník

CoRR, 2019

Recurrent Neural Processes.

Timon Willi, Jonathan Masci, Jürgen Schmidhuber, Christian Osendorfer

CoRR, 2019

Conditional Neural Style Transfer with Peer-Regularized Feature Transform.

Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci

CoRR, 2019

Differentiable Iterative Surface Normal Estimation.

Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci

CoRR, 2019

PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks.

Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation.

Francesco Lattari, Marco Ciccone, Matteo Matteucci, Jonathan Masci, Francesco Visin

CoRR, 2018

NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations.

Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs.

Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Anisotropic Diffusion Descriptors.

Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers

Comput. Graph. Forum, 2016

Geometric deep learning.

Jonathan Masci, Emanuele Rodolà, Davide Boscaini, Michael M. Bronstein, Hao Li

Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016

Learning shape correspondence with anisotropic convolutional neural networks.

Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M. Bronstein

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Palmprint recognition via discriminative index learning.

Jan Svoboda, Jonathan Masci, Michael M. Bronstein

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Deep Learning for Shape Analysis.

Michael M. Bronstein, Evangelos Kalogerakis, Emanuele Rodolà, Jonathan Masci, Davide Boscaini

Proceedings of the 37th Annual Conference of the European Association for Computer Graphics, 2016

Matching Deformable Objects in Clutter.

Luca Cosmo, Emanuele Rodolà, Jonathan Masci, Andrea Torsello, Michael M. Bronstein

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

Understanding Locally Competitive Networks.

Rupesh Kumar Srivastava, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber

Proceedings of the 3rd International Conference on Learning Representations, 2015

ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds.

Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst

CoRR, 2015

Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks.

Davide Boscaini, Jonathan Masci, Simone Melzi, Michael M. Bronstein, Umberto Castellani, Pierre Vandergheynst

Comput. Graph. Forum, 2015

Geodesic Convolutional Neural Networks on Riemannian Manifolds.

Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014

Descriptor Learning for Omnidirectional Image Matching.

Jonathan Masci, Davide Migliore, Michael M. Bronstein, Jürgen Schmidhuber

Proceedings of the Registration and Recognition in Images and Videos, 2014

Multimodal Similarity-Preserving Hashing.

Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Sparse similarity-preserving hashing.

Jonathan Masci, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro

Proceedings of the 2nd International Conference on Learning Representations, 2014

Deep Networks with Internal Selective Attention through Feedback Connections.

Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Compete to Compute.

Rupesh Kumar Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino J. Gomez, Jürgen Schmidhuber

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A Learning Framework for Morphological Operators Using Counter-Harmonic Mean.

Jonathan Masci, Jesús Angulo, Jürgen Schmidhuber

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013

Multi-scale pyramidal pooling network for generic steel defect classification.

Jonathan Masci, Ueli Meier, Gabriel Fricout, Jürgen Schmidhuber

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A fast learning algorithm for image segmentation with max-pooling convolutional networks.

Jonathan Masci, Alessandro Giusti, Dan C. Ciresan, Gabriel Fricout, Jürgen Schmidhuber

Proceedings of the IEEE International Conference on Image Processing, 2013

Quantifying challenging images of fiber-like structures.

Alessandro Giusti, Jonathan Masci, Paola M. V. Rancoita

Proceedings of the IEEE International Conference on Image Processing, 2013

Fast image scanning with deep max-pooling convolutional neural networks.

Alessandro Giusti, Dan C. Ciresan, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Multi-column deep neural network for traffic sign classification.

Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber

Neural Networks, 2012

Object Recognition with Multi-Scale Pyramidal Pooling Networks

Jonathan Masci, Ueli Meier, Gabriel Fricout, Jürgen Schmidhuber

CoRR, 2012

Steel defect classification with Max-Pooling Convolutional Neural Networks.

Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jürgen Schmidhuber, Gabriel Fricout

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Descriptor learning for omnidirectional image matching

Jonathan Masci, Davide Migliore, Michael M. Bronstein, Jürgen Schmidhuber

CoRR, 2011

High-Performance Neural Networks for Visual Object Classification

Dan C. Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber

CoRR, 2011

A committee of neural networks for traffic sign classification.

Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Flexible, High Performance Convolutional Neural Networks for Image Classification.

Dan Claudiu Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber

Proceedings of the IJCAI 2011, 2011

Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction.

Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jürgen Schmidhuber

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

AutoIncSFA and vision-based developmental learning for humanoid robots.

Varun Raj Kompella, Leo Pape, Jonathan Masci, Mikhail Frank, Jürgen Schmidhuber

Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

On Fast Deep Nets for AGI Vision.

Jürgen Schmidhuber, Dan C. Ciresan, Ueli Meier, Jonathan Masci, Alex Graves

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011