Jonathan Masci

发表

Learning to Detect Objects with a 1 Megapixel Event Camera pdf

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

Quantifying challenging images of fiber-like structures

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

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).

Object Recognition with Multi-Scale Pyramidal Pooling Networks pdf

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

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).

Accelerating Neural ODEs with Spectral Elements pdf

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

A Learning Framework for Morphological Operators Using Counter-Harmonic Mean

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

Sparse similarity-preserving hashing pdf

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

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

Jonathan Masci, Matteo Matteucci, Francesco Visin, 2018, ArXiv.

Conditional Neural Style Transfer with Peer-Regularized Feature Transform pdf

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

High-Performance Neural Networks for Visual Object Classification pdf

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

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

Geodesic Convolutional Neural Networks on Riemannian Manifolds

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

PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks pdf

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

Advances in deep learning for vision, with applications to industrial inspection

Jonathan Masci, 2014 .

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.

Deep Graph Matching Consensus pdf

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

Geometric deep learning

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

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

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

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).

Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition

Jonathan Masci, Davide Boscaini, Michael Bronstein, 2020, 2020 IEEE International Joint Conference on Biometrics (IJCB).

Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Flexible, High Performance Convolutional Neural Networks for Image Classification

Luca Maria Gambardella, Jürgen Schmidhuber, Jonathan Masci, 2022 .

ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds pdf

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

A committee of neural networks for traffic sign classification

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

Matching Deformable Objects in Clutter

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

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

Jonathan Masci, Paolo Avesani, Emanuele Olivetti, 2020, MICCAI.

Infinite-Horizon Differentiable Model Predictive Control pdf

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

Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction

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

Understanding Locally Competitive Networks pdf

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

Safe Interactive Model-Based Learning pdf

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

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

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

Deep Networks with Internal Selective Attention through Feedback Connections

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

On Fast Deep Nets for AGI Vision

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

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.

Multi-column deep neural network for traffic sign classification

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

Anisotropic Diffusion Descriptors

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

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

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

Deep Iterative Surface Normal Estimation

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

Descriptor Learning for Omnidirectional Image Matching

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

Deep Learning for Shape Analysis

Jonathan Masci, Michael M. Bronstein, Evangelos Kalogerakis, 2016, Eurographics.

No Representation without Transformation pdf

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

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

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

Differentiable Iterative Surface Normal Estimation pdf

Christian Osendorfer, Jonathan Masci, Jan Eric Lenssen, 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.

Compete to Compute

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

Palmprint recognition via discriminative index learning

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

SNODE: Spectral Discretization of Neural ODEs for System Identification

Jonathan Masci, Marco Gallieri, Alessio Quaglino, 2020, ICLR.

Learning shape correspondence with anisotropic convolutional neural networks

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

Recurrent Neural Processes pdf

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

Automatic design of novel potential 3CLpro and PLpro inhibitors

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

Generative Models for Periodicity Detection in Noisy Signals

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

Automatic design of novel potential 3CLpro and PLpro inhibitors pdf

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

Learning to Detect Objects with a 1 Megapixel Event Camera pdf

Etienne Perot, Jonathan Masci, Amos Sironi, 2020, NeurIPS.