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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

26.02.2025

We have twelve papers accepted to CVPR 2025. Check our publication page for more details.

24.10.2024

LSD SLAM received the ECCV 2024 Koenderink Award for standing the Test of Time.

03.07.2024

We have seven papers accepted to ECCV 2024. Check our publication page for more details.

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

04.03.2024

We have twelve papers accepted to CVPR 2024. Check 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] (current)
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:

YouTube X / Twitter Facebook

News

26.02.2025

We have twelve papers accepted to CVPR 2025. Check our publication page for more details.

24.10.2024

LSD SLAM received the ECCV 2024 Koenderink Award for standing the Test of Time.

03.07.2024

We have seven papers accepted to ECCV 2024. Check our publication page for more details.

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

04.03.2024

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

More