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Philip Häusser

Philip Häusser


Technische Universität München

Department of Computer Science
Informatik 9
Boltzmannstrasse 3
85748 Garching

Tel: +49-89-289-17788
Fax: +49-89-289-17757
Office: 02.09.041


I'm a second-year PhD student in computer science at TUM, doing research in computer vision and machine learning advised by Prof. Daniel Cremers. My current projects focus on the application of convolutional neural networks (CNNs) on tasks like optical anomaly detection and scene recognition. Research interests include: computer vision, machine learning, deep learning, convolutional networks, optical flow, scene flow, facial expression recognition

I hold a Master's degree in physics from the University of California, Santa Cruz (USA) and a Bachelor's degree in physics from the LMU Munich where I was working at the cavity quantum optics group headed by Prof. T.W. Haensch.

When I'm not in the lab you might find me playing squash or volleyball or you might encounter one of my TV productions.


Summer Term 2015

Summer Term 2016

Winter Term 2016/17


Conference and Workshop Papers
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation (N.Mayer, E.Ilg, P.Häusser, P.Fischer, D.Cremers, A.Dosovitskiy, T.Brox), In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (arXiv:1512.02134) [bib] [pdf]
FlowNet: Learning Optical Flow with Convolutional Networks (A. Dosovitskiy, P. Fischer, E. Ilg, P. Häusser, C. Hazirbas, V. Golkov, P. van der Smagt, D. Cremers, T. Brox), In IEEE International Conference on Computer Vision (ICCV), 2015. ([video],[code]) [bib] [pdf] [doi]
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Last edited 12.01.2017 12:43 by Philip Haeusser