Research Output per year
Research Output per year
Personal profile
Scientific Focus
- Variational and energy minimization methods in data processing
- Regularization strategies and modelling prior knowledge
- Convex relaxation methods for combinatorial problems
- Sparsity and adaptive regularization
- Large-scale non-smooth optimization
- Quantum Computing and Quantum Image Processing
- Machine Learning
- Optimal transport
- Processing of non-scalar data - directions, tensors, manifolds
Research Areas and Centers
- Centers: Center for Artificial Intelligence Luebeck (ZKIL)
DFG Research Classification Scheme
- 3.31-01 Mathematics
- 4.43-05 Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Diffeomorphism-Equivariant Neural Networks
Oettinger, J. E., Shumaylov, Z., Bostelmann, J., Lellmann, J. & Schönlieb, C.-B., 06.02.2026.Research output: Working Papers › Preprint
Projects
- 1 Finished
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Functional Lifting 2.0: Efficient Convexifications for Imaging and Vision
Cremers, D. (Principal Investigator (PI)), Lellmann, J. (Principal Investigator (PI)) & Möller, M. (Principal Investigator (PI))
01.01.18 → 31.12.22
Project: DFG Individual Projects
Prizes
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Best Paper Honorable Mention at CVPR 2016
Lellmann, J. (Award Recipient), 2016
Prize: Research Prizes, Scientific Awards