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)
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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
Research output
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Classification of Pancreatic Ductal Adenocarcinoma Using MALDI Mass Spectrometry Imaging Combined with Neural Networks
Kanter, F., Lellmann, J., Thiele, H., Kalloger, S., Schaeffer, D. F., Wellmann, A. & Klein, O., 02.2023, In: Cancers. 15, 3, 686.Research output: Journal Articles › Journal articles › Research › peer-review
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EmNeF: Neural Fields for Embedded Variational Problems in Imaging
Bednarski, D. & Lellmann, J., 10.05.2023, Scale Space and Variational Methods in Computer Vision: 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21-25, 2023, Proceedings. Springer, Cham, p. 137 - 148 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14009 LNCS).Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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A Flexible Meta-Learning Model for Image Registration
Kanter, F. & Lellmann, J., 2022, Medical Imaging with Deep Learning.Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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An Iterative Quantum Approach for Transformation Estimation from Point Sets
Kuete Meli, N., Mannel, F. & Lellmann, J., 2022, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). p. 529-537Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition
Haase, R., Heldmann, S. & Lellmann, J., 02.2022, In: Journal of Mathematical Imaging and Vision. 64, 2, p. 194-211 18 p., 2.Research output: Journal Articles › Journal articles › Research › peer-review
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 Projects › 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
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Best Student Paper Award at SSVM 2021
Lellmann, J. (Award Recipient), 2021
Prize: Research Prizes, Scientific Awards
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Prof. Dr. Werner Petersen-Preis der Technik 2019 (second place)
Lellmann, J. (Award Recipient), 2019
Prize: Research Prizes, Scientific Awards