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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

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members:cremers:research [2017/09/15 23:27]
Prof. Dr. Daniel Cremers
members:cremers:research [2017/09/15 23:29]
Prof. Dr. Daniel Cremers
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 === Research === === Research ===
  
-Our research group is working on a range of topics in Computer Vision, Mathematical Image Processing, Robotics, Pattern Recognition and Optimization. Computer Vision is about interpreting images. More specifically the goal is to infer properties of the observed world from an image or a collection of images. Our work combines a range of mathematical domains including statistical inference, machine learning and deep neural networks, differential geometry, continuous (partial differential equations) and discrete (graph-theoretic) optimization techniques.  We focus on a variety of applications such as dense 3D reconstruction from cameras (including RGB-D cameras), image segmentation and denoising, optical flow and scene flow estimation, driver assistance, autonomous quadrocopters, shape matching and shape analysis, and more.  +Our research group is working on a range of topics in Computer Vision, Mathematical Image Processing, Robotics, Pattern Recognition and Optimization. Computer Vision is about interpreting images. More specifically the goal is to infer properties of the observed world from an image or a collection of images. Our work combines a range of mathematical domains including statistical inference, machine learning and deep neural networks, differential geometry, continuous (partial differential equations) and discrete (graph-theoretic) optimization techniques.  We focus on a variety of applications such as 3D reconstruction from cameras (including RGB-D cameras) and Visual SLAM (simultaneous localization and mapping), image segmentation and denoising, optical flow and scene flow estimation, driver assistance, autonomous quadrocopters, shape matching and shape analysis, biomedical data analysis (eg protein structure prediction) and more.  
  
 Please visit our [[:research|research page]] for more information. Please visit our [[:research|research page]] for more information.
  

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More