Jonathan Masci

发表

Fast image scanning with deep max-pooling convolutional neural networks

Luca Maria Gambardella, Jürgen Schmidhuber, Jonathan Masci, 2013, 2013 IEEE International Conference on Image Processing.

High-Performance Neural Networks for Visual Object Classification pdf

Luca Maria Gambardella, Jürgen Schmidhuber, Jonathan Masci, 2011, ArXiv.

Multi-column deep neural network for traffic sign classification

Jürgen Schmidhuber, Jonathan Masci, Ueli Meier, 2012, Neural Networks.

Flexible, High Performance Convolutional Neural Networks for Image Classification

Luca Maria Gambardella, Jürgen Schmidhuber, Jonathan Masci, 2011, IJCAI.

Compete to Compute

Jürgen Schmidhuber, Jonathan Masci, Faustino J. Gomez, 2013, NIPS.

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

Christian Osendorfer, Jonathan Masci, Faustino J. Gomez, 2018, NeurIPS.

A committee of neural networks for traffic sign classification

Jürgen Schmidhuber, Jonathan Masci, Ueli Meier, 2011, The 2011 International Joint Conference on Neural Networks.

Deep Networks with Internal Selective Attention through Feedback Connections

Jürgen Schmidhuber, Marijn F. Stollenga, Jonathan Masci, 2014, NIPS.

Understanding Locally Competitive Networks pdf

Jürgen Schmidhuber, Jonathan Masci, Faustino J. Gomez, 2014, ICLR.

Quantifying challenging images of fiber-like structures

Jonathan Masci, Alessandro Giusti, Paola M. V. Rancoita, 2013, 2013 IEEE International Conference on Image Processing.

Recurrent Neural Processes pdf

Christian Osendorfer, Jonathan Masci, Jurgen Schmidhuber, 2019, ArXiv.

Jürgen Schmidhuber, Alexander M. Bronstein, Jonathan Masci, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Accelerating Neural ODEs with Spectral Elements pdf

Jonathan Masci, Jan Koutník, Marco Gallieri, 2019, ArXiv.

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

Jürgen Schmidhuber, Jonathan Masci, Alessandro Giusti, 2013, 2013 IEEE International Conference on Image Processing.

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs

Jonathan Masci, Michael M. Bronstein, Jan Svoboda, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to Detect Objects with a 1 Megapixel Event Camera pdf

Etienne Perot, Pierre de Tournemire, Davide Nitti, 2020, NeurIPS.

Steel defect classification with Max-Pooling Convolutional Neural Networks

Jürgen Schmidhuber, Jonathan Masci, Gabriel Fricout, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Automatic design of novel potential 3CLpro and PLpro inhibitors pdf

Saeed Saremi, Jonathan Masci, Faustino J. Gomez, 2021, ArXiv.

No Representation without Transformation

Jonathan Masci, Christian Osendorfer, Giorgio Giannone, 2019, ArXiv.

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

Jonathan Masci, Christian Osendorfer, Jan Svoboda, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Supervised Tractogram Filtering using Geometric Deep Learning

Jonathan Masci, L. Petit, P. Avesani, 2022, Medical Image Anal..

Global-Local Graph Neural Networks for Node-Classification

Wojciech Zaremba, Joan Bruna, M. Bronstein, 2022 .

AutoIncSFA and vision-based developmental learning for humanoid robots

Jürgen Schmidhuber, Mikhail Frank, Jonathan Masci, 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.

SNODE: Spectral Discretization of Neural ODEs for System Identification

Jonathan Masci, Marco Gallieri, A. Quaglino, 2019, ICLR.

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

Pierre Vandergheynst, Jonathan Masci, Michael M. Bronstein, 2015, SGP '15.

Palmprint recognition via discriminative index learning

Jonathan Masci, Michael M. Bronstein, Jan Svoboda, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Safe Interactive Model-Based Learning pdf

N. E. Toklu, Jonathan Masci, Nihat Engin Toklu, 2019, ArXiv.

PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks pdf

Leonidas J. Guibas, Jonathan Masci, Michael M. Bronstein, 2018, ICLR.

Anisotropic Diffusion Descriptors

Daniel Cremers, Jonathan Masci, Michael M. Bronstein, 2016, Comput. Graph. Forum.

Geodesic Convolutional Neural Networks on Riemannian Manifolds

Pierre Vandergheynst, Jonathan Masci, Michael M. Bronstein, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds pdf

Pierre Vandergheynst, Jonathan Masci, Michael M. Bronstein, 2015, ArXiv.

Sparse similarity-preserving hashing pdf

Guillermo Sapiro, Alexander M. Bronstein, Jonathan Masci, 2013, ICLR.

Conditional Neural Style Transfer with Peer-Regularized Feature Transform pdf

Asha Anoosheh, Christian Osendorfer, Jonathan Masci, 2019, ArXiv.

Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction

Jürgen Schmidhuber, Jonathan Masci, Ueli Meier, 2011, ICANN.

Deep Graph Matching Consensus pdf

Nils M. Kriege, Christopher Morris, Jonathan Masci, 2020, ICLR.

Learning shape correspondence with anisotropic convolutional neural networks

Jonathan Masci, Michael M. Bronstein, Emanuele Rodolà, 2016, NIPS.

Infinite-Horizon Differentiable Model Predictive Control pdf

Jonathan Masci, Mark Cannon, Marco Gallieri, 2020, ICLR.

Deep Iterative Surface Normal Estimation

Christian Osendorfer, Jonathan Masci, Jan Eric Lenssen, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Matching Deformable Objects in Clutter

Andrea Torsello, Jonathan Masci, Luca Cosmo, 2016, 2016 Fourth International Conference on 3D Vision (3DV).

Multi-scale pyramidal pooling network for generic steel defect classification

Jürgen Schmidhuber, Jonathan Masci, Gabriel Fricout, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

A Learning Framework for Morphological Operators Using Counter-Harmonic Mean

Jürgen Schmidhuber, Jesús Angulo, Jonathan Masci, 2012, ISMM.

Generative Models for Periodicity Detection in Noisy Signals

Jonathan Masci, Olga Kaiser, Stephany Fulda, 2022, 2201.07896.

Object Recognition with Multi-Scale Pyramidal Pooling Networks pdf

Jürgen Schmidhuber, Jonathan Masci, Gabriel Fricout, 2012, ArXiv.

Geometric deep learning

Jonathan Masci, Michael M. Bronstein, Hao Li, 2016, SIGGRAPH ASIA Courses.

Group Anomaly Detection via Graph Autoencoders

Jonathan Masci, P. D'Oro, M. Matteucci, 2019 .

Descriptor Learning for Omnidirectional Image Matching

Jürgen Schmidhuber, Jonathan Masci, Michael M. Bronstein, 2011, Registration and Recognition in Images and Videos.

Differentiable Iterative Surface Normal Estimation pdf

Christian Osendorfer, Jonathan Masci, Jan Eric Lenssen, 2019, ArXiv.

On Fast Deep Nets for AGI Vision

Jürgen Schmidhuber, Alex Graves, Jonathan Masci, 2011, AGI.

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

Asha Anoosheh, Jonathan Masci, Marco Gallieri, 2020, ArXiv.

Automatic design of novel potential 3CLpro and PLpro inhibitors

Saeed Saremi, Jonathan Masci, Faustino J. Gomez, 2021, ArXiv.

Tractogram filtering of anatomically non-plausible fibers with geometric deep learning

Jonathan Masci, L. Petit, P. Avesani, 2020, MICCAI.