Masci, Jonathan

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs

Monti, F., Boscaini, D., Masci, J., Rodola, E., Svoboda, J., & Bronstein, M. M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Graph Neural NetworksTopological and Geometric Data Analysis

Cited by 1,820

Multi-column deep neural network for traffic sign classification

Cireşan, D., Meier, U., Masci, J., & Schmidhuber, J. (2012) · Neural Networks

Advanced Neural Network ApplicationsComputer Science and Engineering

Cited by 1,057

Geodesic Convolutional Neural Networks on Riemannian Manifolds

Masci, J., Boscaini, D., Bronstein, M. M., & Vandergheynst, P. (2015) · 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)

3D Shape Modeling and AnalysisTopological and Geometric Data Analysis

Cited by 721

Steel defect classification with Max-Pooling Convolutional Neural Networks

Masci, J., Meier, U., Ciresan, D., Schmidhuber, J., & Fricout, G. (2012) · The 2012 International Joint Conference on Neural Networks (IJCNN)

Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques

Cited by 345

Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks

Giusti, A., Cireşan, D. C., Masci, J., Gambardella, L. M., & Schmidhuber, J. (2013) · arXiv

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 48