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Computer Vision Group

Prof. Dr.-Ing. Thomas Brox


Thomas Brox Olaf Ronneberger Hans Burkhardt Jasmin Anders Lilian Siebert Michelle Zimber Stefan Teister Ahmed Abdulkadir Artemij Amiranashvili
Robert Bensch Anton Böhm Özgün Çiçek Benjamin Drayer Dr. Thorsten Falk Eddy Ilg Aaron Klein Dominic Mai Nikolaus Mayer
Duc Tam Nguyen Dr. Peter Ochs Gabriel Leivas Oliveira Nima Sedaghat Maxim Tatarchenko Jonas Uhrig Benjamin Ummenhofer Huizhong Zhou Christian Zimmermann
Mohammadreza Zolfaghari

We are involved in the Centre for Biological Signalling Studies (BIOSS), funded by the Excellence Initiative of the German Federal and State Governments (EXC 294).
We are also involved in the Cluster of Excellence BrainLinks BrainTools, funded by the Excellence Initiative of the German Federal and State Governments (EXC 1086).
The Computer Vision Group was supported by an ERC Starting Grant

News:

One BMVC paper accepted (Jun 2017)
One GCPR paper accepted (Jun 2017)
One IJCV paper accepted (May 2017)
Four papers accepted for CVPR (Mar 2017)
One ICRA paper accepted (Feb 2017)
Maxim Tatarchenko was awarded the VDI Förderpreis for his Master thesis (Okt 2016)
Anton Böhm joins our group (Sep 2016)
We won two best paper honorable mention awards at GCPR (Sep 2016)
German TV aired a program about Manuel Ruder's master project and GCPR paper (Aug 2016)
One IROS paper accepted (July 2016)
One MICCAI paper accepted (July 2016)
One IJCV paper accepted (July 2016)
We welcome our new group member Artemij Amiranashvili (July 2016)
Two papers accepted for CVPR (Mar 2016)
One ICRA paper accepted (Feb 2016)
Olaf Ronneberger is leaving Freiburg to join Google-DeepMind in London as senior research scientist. He is still affiliated with our group and will continue offering courses (Jan 2016)
Congratulations to Thorsten Falk on his graduation (Jan 2016)
Christian Zimmermann becomes a member of our group (Jan 2016)
Maxim Tatarchenko joins our group (Jan 2016)
6 out of 6 papers accepted for ICCV. The chance level for this is 0.000729. (Sep 2015)
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks (CVPR 2017)
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Learning to Generate Chairs, Tables and Cars with Convolutional Networks (TPAMI 2017)
Global, Dense Multiscale Reconstruction for a Billion Points (ICCV 2015)
Inverting Visual Representations with Convolutional Networks (CVPR 2016)
Global, Dense Multiscale Reconstruction for a Billion Points (ICCV 2015)
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation (CVPR 2016)
Global, Dense Multiscale Reconstruction for a Billion Points (ICCV 2015)
Deep Learning for Human Part Discovery in Images (ICRA 2016)