Jonathan Masci
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
10
Active years
2011–2020
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | CVPR | Deep Iterative Surface Normal Estimation. | Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci |
| 2020 | CVPR | Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer. | Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci |
| 2020 | ICLR | Infinite-Horizon Differentiable Model Predictive Control. | Sebastian East, Marco Gallieri, Jonathan Masci, Jan Koutnk, Mark Cannon |
| 2020 | ICLR | Deep Graph Matching Consensus. | Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege |
| 2020 | ICLR | SNODE: Spectral Discretization of Neural ODEs for System Identification. | Alessio Quaglino, Marco Gallieri, Jonathan Masci, Jan Koutnk |
| 2020 | MICCAI | Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. | Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani |
| 2019 | ICLR | PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. | Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas |
| 2017 | CVPR | Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs. | Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodol, Jan Svoboda, Michael M. Bronstein |
| 2016 | ICPR | Palmprint recognition via discriminative index learning. | Jan Svoboda, Jonathan Masci, Michael M. Bronstein |
| 2016 | SIGGRAPH | Geometric deep learning. | Jonathan Masci, Emanuele Rodol, Davide Boscaini, Michael M. Bronstein, Hao Li |
| 2013 | ICIP | Fast image scanning with deep max-pooling convolutional neural networks. | Alessandro Giusti, Dan C. Ciresan, Jonathan Masci, Luca Maria Gambardella, Jrgen Schmidhuber |
| 2013 | ICIP | Quantifying challenging images of fiber-like structures. | Alessandro Giusti, Jonathan Masci, Paola M. V. Rancoita |
| 2013 | ICIP | A fast learning algorithm for image segmentation with max-pooling convolutional networks. | Jonathan Masci, Alessandro Giusti, Dan C. Ciresan, Gabriel Fricout, Jrgen Schmidhuber |
| 2013 | IJCNN | Multi-scale pyramidal pooling network for generic steel defect classification. | Jonathan Masci, Ueli Meier, Gabriel Fricout, Jrgen Schmidhuber |
| 2013 | ISMM | A Learning Framework for Morphological Operators Using Counter-Harmonic Mean. | Jonathan Masci, Jess Angulo, Jrgen Schmidhuber |
| 2012 | IJCNN | Steel defect classification with Max-Pooling Convolutional Neural Networks. | Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jrgen Schmidhuber, Gabriel Fricout |
| 2011 | ICANN | Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction. | Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jrgen Schmidhuber |
| 2011 | IJCAI | Flexible, High Performance Convolutional Neural Networks for Image Classification. | Dan Claudiu Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jrgen Schmidhuber |
| 2011 | IJCNN | A committee of neural networks for traffic sign classification. | Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jrgen Schmidhuber |