Stefan Harmeling
Affiliations:- Technische Universität Dortmund, Dortmund, Germany
- Heinrich Heine University of Düsseldorf, Computer Science Department, Germany (former)
- Max Planck Institute for Intelligent Systems, Tübinngen, Germany (former)
- Fraunhofer FIRST, Berlin, Germany (former)
According to our database1,
Stefan Harmeling
authored at least 71 papers
between 2001 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations.
CoRR, 2024
2023
Neural Process. Lett., December, 2023
Int. J. Semantic Comput., December, 2023
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data.
CoRR, 2023
CoRR, 2023
Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Trans. Mach. Learn. Res., 2022
Medical Image Anal., 2022
Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images.
Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022
Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022
2021
NeuroImage, 2021
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021
2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Third International Workshop on Systems and Algorithms for Formal Argumentation co-located with the 8th International Conference on Computational Models of Argument (COMMA 2020), 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
2018
Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
2015
Computing functions of random variables via reproducing kernel Hilbert space representations.
Stat. Comput., 2015
2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
Proceedings of the Pattern Recognition - 36th German Conference, 2014
2013
Detection and attribution of large spatiotemporal extreme events in Earth observation data.
Ecol. Informatics, 2013
How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the Pattern Recognition - 35th German Conference, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
Proceedings of the International Conference on Computational Science, 2012
Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms
CoRR, 2012
Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds
CoRR, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database.
Proceedings of the Computer Vision - ECCV 2012, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
IEEE Trans. Pattern Anal. Mach. Intell., 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the IEEE International Conference on Computer Vision, 2011
Proceedings of the IEEE International Conference on Computer Vision, 2011
Proceedings of the 2011 IEEE International Conference on Computational Photography, 2011
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011
2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM.
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Nat. Lang. Eng., 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
2007
An Extensible Probabilistic Transformation-based Approach to the Third Recognizing Textual Entailment Challenge.
Proceedings of the ACL-PASCAL@ACL 2007 Workshop on Textual Entailment and Paraphrasing, 2007
2006
2005
Int. J. Imaging Syst. Technol., 2005
2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
2003
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation.
J. Mach. Learn. Res., 2003
2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001