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Computer Vision Group

Prof. Dr.-Ing. Thomas Brox


Thomas Brox Olaf Ronneberger Adam Kortylewski Hans Burkhardt Julia Willi Stefan Teister Max Argus Jelena Bratulic Maria Bravo
Johannes Dienert Karim Farid Silvio Galesso Simon Ging David Hoffmann Artur Jesslen Sudhanshu Mittal Arian Mousakhan Rajat Sahay
Simon Schrodi Philipp Schröppel Leonhard Sommer Basavaraj Sunagad Jonas Uhrig

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:

Rajat Sahay joins our group (September 2024)
Basavaraj Sunagad joins Adam Kortylewski's group (August 2024)
Karim Farid joins our group (July 2024)
Mariella Dimiccoli from the Institute of Robotics and Industrial Informatics, Barcelona, is visiting us for two months (July 2024)
Two papers accepted to ECCV 2024.
One paper accepted to ICML 2024.
Two papers accepted to CVPR 2024.
One paper accepted to ICRA 2024.
Two papers accepted to ICLR 2024.
Arian Mousakhan joins our group (January 2024)
Two papers accepted to NeurIPS 2023 and NeurIPS 2023 Workshops.
We received the Best Paper Award at GCPR 2023.
One paper accepted to ICCV 2023 Workshops.
Jelena Bratulic joins our group (September 2023)
Congratulations to Sudhanshu Mittal for his graduation! (September 2023)
Congratulations to Tonmoy Saikia for his graduation! (March 2023)
Johannes Dienert joins our group (February 2023)
Adam Kortylewski joins the department as independent group leader affiliated with our group.
Two papers accepted for GCPR 2022.
One paper accepted for ECCV 2022.
One paper accepted for 3DV 2022.
One paper accepted for CVPR 2022.
Simon Schrodi joins our group (April 2022)
One paper accepted for AAAI 2022.
Congratulations to Max Argus for his graduation! (February 2022)
One paper accepted for ICLR 2022.
Congratulations to Anton Boehm for his graduation! (August 2021)
Three papers accepted for ICCV 2021.
One paper accepted for MICCAI 2021.
Simon Ging joins our group (May 2021)
Congratulations to Özgün Çiçek for her graduation! (April 2021)
One paper accepted for CVPR 2021.
One paper accepted for ICLR 2020.
Congratulations to Duc Tam Nguyen and Christian Zimmermann for their graduations! (Dec. 2020)
One paper accepted for NeurIPS 2020.
Congratulations to Maxim Tatarchenko and Nikolaus Mayer on their graduations! (Sept. 2020)
One IROS paper accepted (July 2020)
David Hoffmann joins our group (Jun 2020)
One CVPR paper accepted (Jun 2020)
Congratulations to Eddy Ilg and Nima Sedaghat on their graduations! (Mar 2020)
One ISBI paper accepted (Jan 2020)
Two ICLR papers accepted (Jan 2020)
One TPAMI paper accepted (December 2019)
María Bravo joins our group (Oct 2019)
Three ICCV papers accepted (August 2019)
Two IROS papers accepted (Jun 2019)
Three CVPR papers accepted (Jun 2019)
One ICML paper accepted (Jun 2019)
Silvio Galesso joins our group (Apr 2019)
One ISBI paper accepted (Mar 2019)
Jan Bechtold joins our group (Mar 2019)
Philipp Schröppel joins our group (Jan 2019)
One Nature Methods paper accepted (Dec 2018)
Congratulations to Benjamin Ummenhofer and Ahmed Abdulkadir on their graduations! (Dec 2018)
Estibaliz Gómez from the Universidad Carlos III de Madrid is visiting us for three months (Sep 2018)
Four ECCV papers accepted (Jul 2018)
One ICLR paper accepted (Jun 2018)
One IV paper accepted (Jun 2018)
Yao Lu from the Australian National University is visiting us for six months (Jun 2018)
Osama Makansi joins our group (May 2018)
One CVPR paper accepted (Apr 2018)
José Fácil from the University of Zaragoza is visiting us for six months (Mar 2018)
Two IJCV papers accepted (Mar 2018)
Two ICRA papers accepted (Feb 2018)
Chaithanya Kumar Mummadi, Sudhanshu Mittal and Manuel Ruder join our group (Jan 2018)
Congratulations to Robert Bensch, Benjamin Drayer and Dominic Mai on their graduations! (Dec 2017)
We won the best student paper award at 3DV (Oct 2017)
Philipp Fischer was awarded the Wolfgang-Gentner-Nachwuchsförderpreis for his PhD thesis (Oct 2017)
Max Argus, Yassine Marrakchi, and Svenja Melbaum join our group (Oct 2017)
Tonmoy Saikia joins our group (Sep 2017)
One IJRR paper accepted (Sep 2017)
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)
Artistic style transfer for videos and spherical images (IJCV 2018)
Artistic style transfer for videos and spherical images (IJCV 2018)
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? (IJCV 2018)
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? (IJCV 2018)
Data-Driven Modeling of Intracellular Auxin Fluxes Indicates a Dominant Role of the ER in Controlling Nuclear Auxin Uptake (Cell Reports 2018)
Data-Driven Modeling of Intracellular Auxin Fluxes Indicates a Dominant Role of the ER in Controlling Nuclear Auxin Uptake (Cell Reports 2018)
3D Human Pose Estimation in RGBD Images for Robotic Task Learning (ICRA 2018)
3D Human Pose Estimation in RGBD Images for Robotic Task Learning (ICRA 2018)
Tangent Convolutions for Dense Prediction in 3D (CVPR 2018)
Tangent Convolutions for Dense Prediction in 3D (CVPR 2018)
DPDB-Net: Exploiting Dense Connections for Convolutional Encoders (ICRA 2018)
DPDB-Net: Exploiting Dense Connections for Convolutional Encoders (ICRA 2018)

Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs (ICCV 2017)
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs (ICCV 2017)
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks (CVPR 2017)
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks (CVPR 2017)
Learning to Generate Chairs, Tables and Cars with Convolutional Networks (TPAMI 2017)
Learning to Generate Chairs, Tables and Cars with Convolutional Networks (TPAMI 2017)
Inverting Visual Representations with Convolutional Networks (CVPR 2016)
Inverting Visual Representations with Convolutional Networks (CVPR 2016)
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation (CVPR 2016)
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation (CVPR 2016)
Deep Learning for Human Part Discovery in Images (ICRA 2016)
Deep Learning for Human Part Discovery in Images (ICRA 2016)
Deep Learning for Human Part Discovery in Images (ICRA 2016)
Deep Learning for Human Part Discovery in Images (ICRA 2016)

Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection (ICCV 2017)
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection (ICCV 2017)
End-to-End Learning of Video Super-Resolution with Motion Compensation (GCPR 2017)
End-to-End Learning of Video Super-Resolution with Motion Compensation (GCPR 2017)
Orientation-boosted voxel nets for 3D object recognition (BMVC 2017)
Orientation-boosted voxel nets for 3D object recognition (BMVC 2017)
A new fate mapping system reveals context-dependent random or clonal expansion of microglia (Nature Neuroscience 2017)
A new fate mapping system reveals context-dependent random or clonal expansion of microglia (Nature Neuroscience 2017)
Sparsity Invariant CNNs (3DV 2017)
Sparsity Invariant CNNs (3DV 2017)
DeMoN: Depth and Motion Network for Learning Monocular Stereo (CVPR 2017)
DeMoN: Depth and Motion Network for Learning Monocular Stereo (CVPR 2017)
DeMoN: Depth and Motion Network for Learning Monocular Stereo (CVPR 2017)
DeMoN: Depth and Motion Network for Learning Monocular Stereo (CVPR 2017)