Principled Computer Vision Pipelines with Deep Learning

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• Vincent Lepetit, Professor at the Institute for Computer Graphics and Vision, TU Graz
• Wednesday 14 September 2016, 14:00-15:00
• Room 408, EEE Building.

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In this talk, I will use 3D hand tracking and interest point detection and description as examples to argue for the development of computer vision pipelines based on deep learning. Solutions to these problems are often made of several hand-designed components developed independently while, thanks to the development of Deep Networks, a complete solution from image feature extraction to the final output can be defined as the optimum of a clear, single cost function.

Bio: Vincent Lepetit is a Professor at the Institute for Computer Graphics and Vision, TU Graz and a Visiting Professor at the Computer Vision Laboratory, EPFL . He received the engineering and master degrees in Computer Science from the ESIAL in 1996. He received the PhD degree in Computer Vision in 2001 from the University of Nancy, France, after working in the ISA INRIA team. He then joined the Virtual Reality Lab at EPFL as a post-doctoral fellow and became a founding member of the Computer Vision Laboratory. His research interests include vision-based Augmented Reality, 3D camera tracking, object recognition and 3D reconstruction

This talk is part of the Featured talks series.

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• Andrea Picciau's list
• COMMSP & CP list
• COMMSP Seminar
• Featured talks
• Room 408, EEE Building
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