D. Ciresan, U. Meier, L. M. Gambardella, J. Schmidhuber - Convolutional Neural Network Committees For Handwritten Character Classification (ICDAR 2011, bib, paper)
U. Meier, D. Ciresan, L. M. Gambardella, J. Schmidhuber - Better digit recognition with a committee of simple Neural Nets (ICDAR 2011, bib, paper)
D. Ciresan, U. Meier, J. Masci, L. M. Gambardella, J. Schmidhuber - Flexible, High Performance Convolutional Neural Networks for Image Classification (IJCAI 2011, bib, paper, slides, poster)
D. Ciresan, U. Meier, J. Masci, J. Schmidhuber - A Committee of Neural Networks for Traffic Sign Classification (IJCNN 2011, bib, paper, conference slides, workshop slides)
J. Masci, U. Meier, D. Ciresan, J. Schmidhuber - Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction (ICANN 2011, bib, paper, slides)
J. Schmidhuber, D. Ciresan, U. Meier, J. Masci, Alex Graves - On Fast Deep Nets for AGI Vision (AGI 2011, bib, paper, talk)
J. Nagi, F. Ducatelle, G. A. Di Caro, D. Ciresan, U. Meier, A. Giusti, F. Nagi, J. Schmidhuber, L. M. Gambardella - Max-Pooling Convolutional Neural Networks for Vision-based Hand Gesture Recognition (ICSIPA 2011, bib, paper)
2008
D. Ciresan - Avoiding Segmentation in Multi-Digit Numeral String Recognition by Combining Single and Two-Digit Classifiers Trained without Negative Examples (SYNASC 2008, bib, paper)
D. Ciresan, D. Pescaru - Off-line Recognition of Handwritten Numeral Strings Composed from Two-digits Partially Overlapped Using Convolutional Neural Networks (ICCP 2008)
Under review:
D. Ciresan, U. Meier, J. Schmidhuber - MCDNN for Image Classification, abstract
D. Ciresan, U. Meier, J. Schmidhuber - Transfer Learning for Latin and Chinese Characters with Deep Neural Networks, abstract
Journal papers:
D. Ciresan, U. Meier, L. M. Gambardella, J. Schmidhuber - Deep, Big, Simple Neural Nets for Handwritten Digit Recognition (Neural Computation, December 2010, bib, paper)
Under review:
D. Ciresan, U. Meier, J. Masci, J. Schmidhuber - Multi Column Deep Neural Network for Traffic Sign Classification (invited, Neural Networks 2011, accepted, abstract)
D. Ciresan, U. Meier, L. M. Gambardella, J. Schmidhuber - Democratic Committee of Fast Deep MLPs Improves MNIST Recognition Rate (NC, abstract)
Swiss CTI, Commission for Technology and Innovation, Project n. 9688.1 IFF:
Intelligent Fill in Form (2009-2010)
Current work
using NNs to solve computer vision tasks in robotics, medicine, general 3D scene understanding
visual data mining
self adaptive NNs
improving the GPU NN framework
transfer learning
