On February 1, 2017 I will quit my position at IDSIA to focus on my startup.
Dan Claudiu Cireșan
Senior Researcher - Dalle Molle Institute for Artificial Intelligence (IDSIA)
Interest
AI, Machine Learning, Pattern Recognition, Deep Learning with Neural Networks
Computer Vision
Document Analysis
Speech Recognition
Medical and Biological Image Analysis (joint work with Alessandro Giusti)
Automotive GPGPU
News
April 5 2016: NVIDIA awarded IDSIA with a DGX-1 supercomputer. My contribution is research with GPUs for Medical Applications, Transfer Learning and Deep Learning.
Our research with autonomous quadcopter has been featured in NVIDIA's Introduction of Opening Keynote from GTC 2016.
I will present a tutorial at VISUM 2016. Join VISion Understanding and Machine intelligence Summer School. Apply before March 21st.
See how my Deep Neural Network drives a quadcopter along forest trails in our latest work: video, paper. More info on Alessandro's webpage.
Do you have an idea which can benefit from my Deep Neural Networks? I am looking for research partners for projects (SNSF, CTI, EU, IARPA/DARPA, etc) related to the topics listed above.
First place at Offline Chinese Character Recognition (task1: "Offline Chinese Character Recognition") at ICDAR 2011, Beijing, China (with Ueli Meier).
First place at The German Traffic Sign Recognition Benchmark (both phases) at IJCNN 2011, San Jose, US (with Ueli Meier and Jonathan Masci). We were the only team with better than human performance.
plenary talk at International Work Conference on Artificial Neural Networks (IWANN 2015), Palma de Mallorca, June 2015. Slides: plenary talk, transfer learning
NEW! A. Giusti, J. Guzzi, D. Ciresan, F. Lin He, J. P. Rodriguez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. A. Di Caro, D. Scaramuzza, L. Gambardella - A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots (IEEE Robotics and Automation Letters, 2015, paper, bib)
I. Arganda-Carreras et al. - Crowdsourcing the creation of image segmentation algorithms for connectomics (Frontiers in Neuroanatomy, 2015)
M. Veta et al. - Assessment of algorithms for mitosis detection in breast cancer histopathology images (Medical Image Analysis, 2015, paper, bib)
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)
Book chapters:
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)
Conference papers:
2015
P. Toufiq, D. Ciresan, A. Giusti - Efficient Classifier Training to Reduce False Merges in Electron Microscopy Segmentation (ICCV 2015, paper, bib)
D. Ciresan, U. Meier - Multi-Column Deep Neural Networks for offline handwritten Chinese character classification (IJCNN 2015, bib)
2014
J. Funke, J. Martel, S. Gerhard, B. Andres, D. Ciresan, A. Giusti, L.M. Gambardella, J. Schmidhuber,
H. Pfister, A. Cardona, M. Cook - Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes (MICCAI 2014, bib, paper preview)
A. Giusti, C. Caccia, D. Ciresan, J. Schmidhuber, L.M. Gambardella - A Comparison of Algorithms and Humans for Mitosis Detection (ISBI 2014, bib, paper preview)
2013
D. Ciresan, A. Giusti, L.M. Gambardella, J. Schmidhuber - Mitosis Detection in Breast Cancer Histology Images using Deep Neural Networks (MICCAI 2013, bib, paper preview, poster)
A. Giusti, D. Ciresan, J. Masci, L.M. Gambardella, J. Schmidhuber - Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks (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 (ICIP 2013, bib, paper preview)
2012
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 - 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)
2011
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)
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)
Workshop papers:
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)
industry projects
Supervised Deep / Recurrent Nets, SNF grant 140399
Swiss CTI, Commission for Technology and Innovation, Project n. 9688.1 IFF: Intelligent Fill in Form (2009-2010)
Neural Dynamics, EU project
Current work
speech recognition
using NNs to solve computer vision tasks in robotics, medicine, general 3D scene understanding
connectomics
cancer detection
visual data mining
improving the GPU NN framework