Jonathan Masci

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IDSIA ∙ NNAISENSE

Post-Doctoral Researcher at Università della Svizzera Italiana

Learning to Detect Objects with a 1 Megapixel Event Camera

Event cameras encode visual information with high temporal precision, lo...
09/28/2020 ∙ by Etienne Perot, et al. ∙ 0 ∙ share

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

Event-based cameras are novel, efficient sensors inspired by the human v...
04/07/2020 ∙ by Giorgio Giannone, et al. ∙ 13 ∙ share

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

Tractograms are virtual representations of the white matter fibers of th...
03/24/2020 ∙ by Pietro Astolfi, et al. ∙ 1 ∙ share

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Deep Graph Matching Consensus

This work presents a two-stage neural architecture for learning and refi...
01/27/2020 ∙ by Matthias Fey, et al. ∙ 18 ∙ share

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Infinite-Horizon Differentiable Model Predictive Control

This paper proposes a differentiable linear quadratic Model Predictive C...
01/07/2020 ∙ by Sebastian East, et al. ∙ 0 ∙ share

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No Representation without Transformation

We propose to extend Latent Variable Models with a simple idea: learn to...
12/09/2019 ∙ by Giorgio Giannone, et al. ∙ 13 ∙ share

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Safe Interactive Model-Based Learning

Control applications present hard operational constraints. A violation o...
11/15/2019 ∙ by Marco Gallieri, et al. ∙ 20 ∙ share

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Accelerating Neural ODEs with Spectral Elements

This paper proposes the use of spectral element methods canuto_spectral_...
06/17/2019 ∙ by Alessio Quaglino, et al. ∙ 2 ∙ share

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Recurrent Neural Processes

We extend Neural Processes (NPs) to sequential data through Recurrent NP...
06/13/2019 ∙ by Timon Willi, et al. ∙ 2 ∙ share

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Conditional Neural Style Transfer with Peer-Regularized Feature Transform

This paper introduces a neural style transfer model to conditionally gen...
06/07/2019 ∙ by Jan Svoboda, et al. ∙ 4 ∙ share

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Differentiable Iterative Surface Normal Estimation

This paper presents an end-to-end differentiable algorithm for anisotrop...
04/15/2019 ∙ by Jan Eric Lenssen, et al. ∙ 2 ∙ share

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ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation

We introduce ReConvNet, a recurrent convolutional architecture for semi-...
06/14/2018 ∙ by Francesco Lattari, et al. ∙ 2 ∙ share

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PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks

Deep learning systems have become ubiquitous in many aspects of our live...
05/31/2018 ∙ by Jan Svoboda, et al. ∙ 0 ∙ share

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

This paper introduces "Non-Autonomous Input-Output Stable Network" (NAIS...
04/19/2018 ∙ by Marco Ciccone, et al. ∙ 0 ∙ share

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Geometric deep learning on graphs and manifolds using mixture model CNNs

Deep learning has achieved a remarkable performance breakthrough in seve...
11/25/2016 ∙ by Federico Monti, et al. ∙ 0 ∙ share

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Learning shape correspondence with anisotropic convolutional neural networks

Establishing correspondence between shapes is a fundamental problem in g...
05/20/2016 ∙ by Davide Boscaini, et al. ∙ 0 ∙ share

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Geodesic convolutional neural networks on Riemannian manifolds

Feature descriptors play a crucial role in a wide range of geometry anal...
01/26/2015 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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Understanding Locally Competitive Networks

Recently proposed neural network activation functions such as rectified ...
10/05/2014 ∙ by Rupesh Kumar Srivastava, et al. ∙ 0 ∙ share

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Deep Networks with Internal Selective Attention through Feedback Connections

Traditional convolutional neural networks (CNN) are stationary and feedf...
07/11/2014 ∙ by Marijn Stollenga, et al. ∙ 0 ∙ share

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Sparse similarity-preserving hashing

In recent years, a lot of attention has been devoted to efficient neares...
12/19/2013 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks

Deep Neural Networks now excel at image classification, detection and se...
02/07/2013 ∙ by Alessandro Giusti, et al. ∙ 0 ∙ share

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A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks

We present a fast algorithm for training MaxPooling Convolutional Networ...
02/07/2013 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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A Learning Framework for Morphological Operators using Counter-Harmonic Mean

We present a novel framework for learning morphological operators using ...
12/11/2012 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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Object Recognition with Multi-Scale Pyramidal Pooling Networks

We present a Multi-Scale Pyramidal Pooling Network, featuring a novel py...
07/07/2012 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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Multimodal similarity-preserving hashing

We introduce an efficient computational framework for hashing data belon...
07/06/2012 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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Descriptor learning for omnidirectional image matching

Feature matching in omnidirectional vision systems is a challenging prob...
12/29/2011 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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High-Performance Neural Networks for Visual Object Classification

We present a fast, fully parameterizable GPU implementation of Convoluti...
02/01/2011 ∙ by Dan C. Cireşan, et al. ∙ 0 ∙ share

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Jonathan Masci

Featured Co-authors

Guillermo Sapiro

Leonidas Guibas

Jürgen Schmidhuber

Michael M. Bronstein

Juergen Schmidhuber

Pierre Vandergheynst

Alex M. Bronstein

Matteo Matteucci

Emanuele Rodolà

Pablo Sprechmann

Nils M. Kriege

Learning to Detect Objects with a 1 Megapixel Event Camera

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

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

Deep Graph Matching Consensus

Infinite-Horizon Differentiable Model Predictive Control

No Representation without Transformation

Safe Interactive Model-Based Learning

Accelerating Neural ODEs with Spectral Elements

Recurrent Neural Processes

Conditional Neural Style Transfer with Peer-Regularized Feature Transform

Differentiable Iterative Surface Normal Estimation

ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation

PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks

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

Geometric deep learning on graphs and manifolds using mixture model CNNs

Learning shape correspondence with anisotropic convolutional neural networks

Geodesic convolutional neural networks on Riemannian manifolds

Understanding Locally Competitive Networks

Deep Networks with Internal Selective Attention through Feedback Connections

Sparse similarity-preserving hashing

Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks

A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks

A Learning Framework for Morphological Operators using Counter-Harmonic Mean

Object Recognition with Multi-Scale Pyramidal Pooling Networks

Multimodal similarity-preserving hashing

Descriptor learning for omnidirectional image matching

High-Performance Neural Networks for Visual Object Classification