Dan Ciresan

Deep Neural Networks for Visual Pattern Recognition

Friday 21st of November 2014 at 12:00pm
560 Evans

Dr. Dan Ciresan received his PhD from Universitatea Politehnica Timisoara, Romania. He first worked as a postdoc before becoming a senior researcher at IDSIA, Switzerland. Dr. Ciresan is one of the pioneers of using CUDA for Deep Neural Networks (DNNs). His methods have won five international competitions on topics such as classifying traffic signs, recognizing handwritten Chinese characters, segmenting neuronal membranes in electron microscopy images, and detecting mitosis in breast cancer histology images. Dr. Ciresan has published his results in top-ranked conference proceedings and journals. His DNNs have significantly improved the state of the art on several image classification tasks. Dr. Ciresan uses DNNs for many other applications like pedestrian detection and automatic navigation of a quadcopter.

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