Perceptual Computing in general and Computer Vision in particular have great potentials to change the way we interact with computers and how machines such as robots perceive the world. Over the last three decades significant progress has been made in computer vision. Today it is possible to use image information for quality control and domain specific problems such as face recognition, recovery of CAD models for well-defined objects and basic visual surveillance. Robustness of perception and vision algorithms however is a notorious problem and one of the major bottlenecks for industrial applications. At the same time there is little doubt that in the next decades small and inexpensive sensors will be developed and embedded in many devices. Our hypothesis is that the integration of multiple features and sensors facilitates robustness in environments of realistic complexity.
The computer vision and machine learning department was founded by Bernt Schiele in 2010 and currently consists of six research groups headed by Jonas Fischer, Margret Keuper, Jan Eric Lenssen, Gerard Pons-Moll, Paul Swoboda, and Bernt Schiele.
Company Details
- Address
- Campus E1 4, Saarbrücken,saarland 66123,germany
- Industry
- Research Services
- NAICS
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Scientific Research and Development ServicesResearch and Development in the Physical, Engineering, and Life SciencesResearch and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Keywords
- Saarbrücken.
- HQ
- Saarbrücken, Saarland
- Competitors
- Max Planck Institute for Informatics, Munich Center for Machine Learning, Max Planck Institute for Intelligent Systems, Saarland Informatics Campus, Max Planck Institute for Software Systems (MPI-SWS), Tübingen AI Center, DARA - Danish Advanced Research Academy, GCPR, Rationality Enhancement - Max Planck Institute for Intelligent Systems, Pattern Recognition Lab.
Computer Vision And Machine Learning Department (D2) At The Max Planck Institute For Informatics Questions
Computer Vision And Machine Learning Department (D2) At The Max Planck Institute For Informatics's website is https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning
Computer Vision And Machine Learning Department (D2) At The Max Planck Institute For Informatics's LinkedIn profile is https://de.linkedin.com/company/cvml-mpi-inf
Computer Vision And Machine Learning Department (D2) At The Max Planck Institute For Informatics's industry is
Research Services
Computer Vision And Machine Learning Department (D2) At The Max Planck Institute For Informatics's top competitors are
Max Planck Institute For Informatics,
Munich Center For Machine Learning,
Max Planck Institute For Intelligent Systems,
Saarland Informatics Campus,
Max Planck Institute For Software Systems (Mpi-Sws),
Tübingen Ai Center,
Dara - Danish Advanced Research Academy,
Gcpr,
Rationality Enhancement - Max Planck Institute For Intelligent Systems,
Pattern Recognition Lab.
Computer Vision And Machine Learning Department (D2) At The Max Planck Institute For Informatics's categories are Research Services
