Axel Pinz

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Axel Pinz was born in 1958 in Vienna, Austria. He received the M.Sc. degree in Electrical Engineering in 1983 and the Ph.D. degree in Computer Science in 1988 from Vienna University of Technology. In 1995 he received the habilitation in Computer Science from Graz University of Technology.

He worked in high-level image analysis in Remote Sensing at the University of Natural Resources in Vienna (1983-1990, Institute of Surveying and Remote Sensing IVFL). From 1990 to 1994 he was with the Institute for Automation, Department of Pattern Recognition and Image Processing (PRIP), Technical University of Vienna, working as an assistant professor in Computer Vision. From 1994-1999 he was a visiting scientist at the Institute for Computer Graphics and Vision (ICG), Graz University of Technology, where he was building up the Computer Vision Group of the Institute. In 1996/97, he served as the academic head of the ICG, and from Oct 1997 - July 1999 he was a visiting professor in computer vision and computer graphics at Graz University of Technology, Austria. Since Oct 1999 he has been with the Institute of Electrical Measurement and Measurement Signal Processing (EMT), Graz University of Technology, Austria, where he has built up and is now heading the research activities in vision-based and optical measurement (vo).

Axel Pinz is a member of the IEEE. Together with Thomas Pock, he was program chair for GCPR/AAPR 2012. He was the general chairman of ECCV 2006 in Graz, and he has served as the chairman of the Austrian Association for Pattern Recognition (AAPR), the Austrian chapter of the IAPR from 1997-2003. He is author or coauthor of more than 200 scientific publications. His main research interests are in video and object recognition, and in space-time reconstruction from video.

You can obtain a full CV of Axel Pinz including a list of all publications in pdf format: cv.pdf

Our joint CVPR'16 work with Oxford:                                                                http://www.robots.ox.ac.uk/~vgg/software/two_stream_action/

Our joint CVPR'15 work with York Univ:                                                                              http://www.cse.yorku.ca/vision/research/salient-actions.shtml

 A. Pinz, Object Categorization, Foundations and Trends® in Computer Graphics and Vision, 1(4), pp. 255-353, 2006. Printed and bound version.

Axel Pinz / Links
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Kontakt
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Institut für Elektrische Messtechnik
und Sensorik

Inffeldgasse 33/I
A-8010 Graz

Telefon: +43 (0)316 873 30571
Fax: +43 (0)316 873 30572

Email: emsnoSpam@tugraz.at