← Authors

Jonathan Masci

12 papers · 2013–2020 · 3 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (22) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (3) 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (12) πŸ“ˆ Trend Setter ⚑ Prolific Year (6)

Conferences

NIPS (5) ICLR (4) CVPR (3)

Top co-authors

Faustino Gomez (3) Marco Gallieri (3) Christian Osendorfer (3) Jan Svoboda (3) Jan Koutnik (2) Davide Boscaini (2) Emanuele RodolΓ  (2) Michael Bronstein (2) JΓΌrgen Schmidhuber (2) Federico Monti (2)

Keywords

convolutional neural network (2) non-euclidean datum (2) graph neural network (2) feature learning (2) neural network (2) shape correspondence (1) manifold learning (1) catastrophic forgetting (1) surface normal estimation (1) point cloud (1) geometric deep learning (1) deep learning (1) selective attention (1) dense correspondence (1) image generation (1) feedback connections (1) backprop training (1) event camera (1) filter sensitivities (1) multilayer neural networks (1)

Papers

Deep Graph Matching Consensus ICLR 2020
Learning to Detect Objects with a 1 Megapixel Event Camera NIPS 2020
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer CVPR 2020
Deep Iterative Surface Normal Estimation CVPR 2020
Infinite-Horizon Differentiable Model Predictive Control ICLR 2020
SNODE: Spectral Discretization of Neural ODEs for System Identification ICLR 2020
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks ICLR 2019
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations NIPS 2018
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs CVPR 2017
Learning shape correspondence with anisotropic convolutional neural networks NIPS 2016
Deep Networks with Internal Selective Attention through Feedback Connections NIPS 2014
Compete to Compute NIPS 2013