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Christoph Lampert, Dr.
Senior Research Scientist |
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MPI for Biological Cybernetics
Dept. Schölkopf
Spemannstraße 38
72076 Tübingen
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+49-7071-601-570 |
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+49-7071-601-552 |
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203 |
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christoph.lampert@tuebingen.mpg.de |
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I joined the Computer Vision Lab
as local coordinator of the EU project CLASS
in 2007. For my previous work and publications
please visit my old home page at
DFKI, Kaiserslautern or my
private page.
I am interested in machine learning mainly in the area of image and video understanding.
My current research activities include
- Multimodal Computer Vision
- Object Classification and Localization using Context
- Efficient combination of image,
text and audio for Video
Understanding
- Object category classification
through combination of local
appearance, global shape and
possible other descriptions.
- Geometric algorithms for robust
learning in low dimensions
- Scalable Any-Time Algorithms for
Object Recognition in Video
- Efficient Methods for Query-by-Example
Image Retrieval
- Unsupervised and Semi-Supervised
Learning
- Learning Structure in Single-Class
Data from Context
- Learning of Attributes and
Hierarchies in Single-Class Data
- Learning Models of Object
Behaviour from Time-Dependent
Information Sources
- Adaption of Learning Methods to
previously unseen Object
Categories
- Complex Methods on Machine Learning
- Complex-valued SVMs
- Reproducing kernels complex Hilbert spaces
- Kernel methods for the Cauchy-Riemann Equation
I am also interested in many other areas, although I currently don't find much time to spend on them, e.g.
- Video Compression
- Motion Estimation
- Using Machine Learning to make the
Choice of Parameters adaptive to
the Input Material
- Mathematical Methods in Image
Processing
- Application of Linear Algebra for
the Optimization of
Filter Operations
- Differential Geometric Treatment of
Surface Modeling
- Transfer of Methods from Riemannian
Surfaces to Real Surfaces in
3-Space
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