Dan Claudiu Cireșan

Interest

Publications (Google Scholar citations - opens in a new tab)

• D. Ciresan, U. Meier, J. Masci, J. Schmidhuber - Multi Column Deep Neural Network for Traffic Sign Classification (invited, Neural Networks 2012, in press, preview)
• 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. Ciresan, U. Meier, J. Schmidhuber - MCDNN for Image Classification (CVPR 2012, bib, paper, supplementary material)
• 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)

• MCDNN for Image Classification (IDSIA Technical Report, February 2012, accepted at CVPR 2012)
  
• Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs (IDSIA Technical Report, March 2011)
  
• High-Performance Neural Networks for Visual Object Classification (IDSIA Technical Report, January 2011, published at IJCAI 2011)
  

Competitions (all methods use my NN framework)

• NEW! 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.

NEW! Deep Neural Networks for Industry

Talks

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