Dan Claudiu Cireșan

Interest

Deep Neural Networks for Industry

Publications Google Scholar citations dblp

• D. Ciresan, U. Meier, J. Masci, J. Schmidhuber - Multi Column Deep Neural Network for Traffic Sign Classification (invited, Neural Networks 2012, bib, paper, http://dx.doi.org/10.1016/j.neunet.2012.02.023)
• D. Ciresan, U. Meier, L. M. Gambardella, J. Schmidhuber - Deep, Big, Simple Neural Nets for Handwritten Digit Recognition (Neural Computation, December 2010, bib, paper)

• D. C. Ciresan, U. Meier, L. M. Gambardella, J. Schmidhuber - Deep Big Multilayer Perceptrons For Digit Recognition (Neural Networks Tricks of the Trade, Springer, 2012, bib, preview)

• NEW! D. Ciresan, A. Giusti, L.M. Gambardella, J. Schmidhuber - Mitosis Detection in Breast Cancer Histology Images using Deep Neural Networks (accepted at MICCAI 2013, bib, paper preview)
• A. Giusti, D. Ciresan, J. Masci, L.M. Gambardella, J. Schmidhuber - Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks (accepted at ICIP 2013, bib, paper preview)
  
• J. Masci, A. Giusti, D. Ciresan, G. Fricout, J. Schmidhuber - A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks (accepted at ICIP 2013, bib, paper preview)
  

• D. Ciresan, A. Giusti, L. M. Gambardella, J. Schmidhuber - Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images (NIPS 2012, bib, paper, poster, results)
• D. Ciresan, U. Meier, J. Schmidhuber - Multi-column Deep Neural Networks for Image Classification (CVPR 2012, bib, paper, supplementary material, poster, erratum)
• D. Ciresan, U. Meier, J. Schmidhuber - Transfer Learning for Latin and Chinese Characters with Deep Neural Networks (IJCNN 2012, bib, paper)
• J. Masci, U. Meier, D. Ciresan, J. Schmidhuber - Steel Defect Classification with Max-Pooling Convolutional Neural Networks (IJCNN 2012, bib, paper)

• 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, video)
• 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)

• 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)

• D. Ciresan, A. Giusti, L. Gambardella, J. Schmidhuber - Neural Networks for Segmenting Neuronal Structures in EM Stacks (ISBI CH2 2012, bib, paper. Please cite the detailed NIPS 2012 paper)

• A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks - J. Masci, A. Giusti, D. Ciresan, G. Fricout, J. Schmidhuber, IDSIA Technical Report, January 2013, accepted at ICIP 2013
  
• Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks - A. Giusti, D. Ciresan, J. Masci, L.M. Gambardella, J. Schmidhuber, IDSIA Technical Report, January 2013, accepted at ICIP 2013
  
• MCDNN for Image Classification (IDSIA Technical Report, February 2012, presented at CVPR 2012)
  
• Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs (IDSIA Technical Report, March 2011, published in Neural Networks Tricks of the Trade, Springer, 2012)
  
• High-Performance Neural Networks for Visual Object Classification (IDSIA Technical Report, January 2011, presented at IJCAI 2011)
  

Competitions (all methods use my NN framework)

• NEW! First place at Mitosis Detection in Breast Cancer Histological Images, ICPR 2012 (with Alessandro Giusti).
• First place at Segmentation of neuronal structures in EM stacks challenge - ISBI 2012 (with Alessandro Giusti). We were the only team with better than human pixel level segmentation performance.
• First place at Offline Chinese Character Recognition (task1: "Offline Chinese Character Recognition") at ICDAR 2011 (with Ueli Meier).
• First place at The German Traffic Sign Recognition Benchmark (both phases) at IJCNN 2011 (with Ueli Meier and Jonathan Masci). We were the only team with better than human performance.

Talks

• Siemens Corporate Research, Princeton, August 2011
• Department of Brain and Cognitive Sciences, MIT, Boston, June 2012
• Janelia Farm, HHMI, Ashburn, June 2012
• Deepmind, London, December 2012

Current project

Past projects

Current work

Results on various benchmark data sets (state of the art for: MNIST, NIST SD 19, NORB, CIFAR10, traffic signs, Chinese characters)

Contact

PhD Thesis

Goal