Schuler, C. J., Hirsch, M., Harmeling, S., Schölkopf, B.
Learning to Deblur
IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(7):1439-1451, IEEE, 2016 (article)
Harmeling, S., Hirsch, M., Sra, S., Schölkopf, B., Schuler, C.
Method and device for recovering a digital image from a sequence of observed digital images
European Patent, No. 11767924.1, November 2015 (patent)
Kopp, M., Harmeling, S., Schütz, G., Schölkopf, B., Fähnle, M.
Towards denoising XMCD movies of fast magnetization dynamics using extended Kalman filter
Ultramicroscopy, 148, pages: 115-122, 2015 (article)
Schölkopf, B., Muandet, K., Fukumizu, K., Harmeling, S., Peters, J.
Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations
Statistics and Computing , 25(4):755-766, 2015 (article)
Schuler, C., Hirsch, M., Harmeling, S., Schölkopf, B.
Method and device for blind correction of optical aberrations in a digital image
International Patent Application, No. PCT/EP2012/068868, April 2014 (patent)
Köhler, R., Schuler, C., Schölkopf, B., Harmeling, S.
Mask-Specific Inpainting with Deep Neural Networks
In Pattern Recognition (GCPR 2014), pages: 523-534, (Editors: X Jiang, J Hornegger, and R Koch), Springer, 2014, Lecture Notes in Computer Science (inproceedings)
Zscheischler, J., Reichstein, M., Harmeling, S., Rammig, A., Tomelleri, E., Mahecha, M.
Extreme events in gross primary production: a characterization across continents
Biogeosciences, 11, pages: 2909-2924, 2014 (article)
Zscheischler, J., Mahecha, M., v Buttlar, J., Harmeling, S., Jung, M., Rammig, A., Randerson, J., Schölkopf, B., Seneviratne, S., Tomelleri, E., Zaehle, S., Reichstein, M.
A few extreme events dominate global interannual variability in gross primary production
Environmental Research Letters, 9(3):035001, 2014 (article)
Schuler, C. J., Hirsch, M., Harmeling, S., Schölkopf, B.
Learning to Deblur
In NIPS 2014 Deep Learning and Representation Learning Workshop, 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)
Harmeling, S., Hirsch, M., Schölkopf, B.
On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit
In IEEE Conference on Computer Vision and Pattern Recognition, pages: 1083-1090, IEEE, CVPR, 2013 (inproceedings)
Schuler, C., Burger, H., Harmeling, S., Schölkopf, B.
A machine learning approach for non-blind image deconvolution
In IEEE Conference on Computer Vision and Pattern Recognition, pages: 1067-1074, IEEE, CVPR, 2013 (inproceedings)
Grosse-Wentrup, M., Harmeling, S., Zander, T., Hill, J., Schölkopf, B.
How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data
In Proceedings of the 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI), pages: 102-105, IEEE Xplore Digital Library, PRNI, 2013 (inproceedings)
Köhler, R., Hirsch, M., Schölkopf, B., Harmeling, S.
Improving alpha matting and motion blurred foreground estimation
In IEEE Conference on Image Processing (ICIP), pages: 3446-3450, IEEE, ICIP, 2013 (inproceedings)
Zscheischler, J., Mahecha, M., Harmeling, S., Reichstein, M.
Detection and attribution of large spatiotemporal extreme events in Earth observation data
Ecological Informatics, 15, pages: 66-73, 2013 (article)
Hogg, D. W., Angus, R., Barclay, T., Dawson, R., Fergus, R., Foreman-Mackey, D., Harmeling, S., Hirsch, M., Lang, D., Montet, B. T., Schiminovich, D., Schölkopf, B.
Maximizing Kepler science return per telemetered pixel: Detailed models of the focal plane in the two-wheel era
arXiv:1309.0653, 2013 (techreport)
Montet, B. T., Angus, R., Barclay, T., Dawson, R., Fergus, R., Foreman-Mackey, D., Harmeling, S., Hirsch, M., Hogg, D. W., Lang, D., Schiminovich, D., Schölkopf, B.
Maximizing Kepler science return per telemetered pixel: Searching the habitable zones of the brightest stars
arXiv:1309.0654, 2013 (techreport)
Burger, H., Schuler, C., Harmeling, S.
Image denoising: Can plain Neural Networks compete with BM3D?
In pages: 2392 - 2399, 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2012 (inproceedings)
Zscheischler, J., Mahecha, M., Harmeling, S.
Climate classifications: the value of unsupervised clustering
In Proceedings of the International Conference on Computational Science , 9, pages: 897-906, Procedia Computer Science, (Editors: H. Ali, Y. Shi, D. Khazanchi, M. Lees, G.D. van Albada, J. Dongarra, P.M.A. Sloot, J. Dongarra), Elsevier, Amsterdam, Netherlands, ICCS, June 2012 (inproceedings)
Toussaint, M., Storkey, A., Harmeling, S.
Expectation-Maximization methods for solving (PO)MDPs and optimal control problems
In Inference and Learning in Dynamic Models, (Editors: Barber, D., Cemgil, A.T. and Chiappa, S.), Cambridge University Press, Cambridge, UK, January 2012 (inbook) In press
Schuler, C., Hirsch, M., Harmeling, S., Schölkopf, B.
Blind Correction of Optical Aberrations
In Computer Vision - ECCV 2012, LNCS Vol. 7574, pages: 187-200, (Editors: A Fitzgibbon, S Lazebnik, P Perona, Y Sato, and C Schmid), Springer, Berlin, Germany, 12th IEEE European Conference on Computer Vision, ECCV, 2012 (inproceedings)
Burger, H., Schuler, C., Harmeling, S.
Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms
2012 (article) Submitted
Köhler, R., Hirsch, M., Mohler, B., Schölkopf, B., Harmeling, S.
Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database
In Computer Vision - ECCV 2012, LNCS Vol. 7578, pages: 27-40, (Editors: A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, and C. Schmid), Springer, Berlin, Germany, 12th European Conference on Computer Vision, ECCV , 2012 (inproceedings)
Zscheischler, J., Mahecha, M., von Buttlar, J., Harmeling, S., Jung, M., Randerson, J., Reichstein, M.
Significant global reduction of carbon uptake by water-cycle driven extreme vegetation anomalies
Nature Geoscience, 2012 (article) In revision
Burger, H., Schuler, C., Harmeling, S.
Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds
2012 (article) Submitted
Kitching, T. D., Balan, S. T., Bridle, S., Cantale, N., Courbin, F., Eifler, T., Gentile, M., Gill, M. S. S., Harmeling, S., Heymans, C., others,
Image analysis for cosmology: results from the GREAT10 Galaxy Challenge
Monthly Notices of the Royal Astronomical Society, 423(4):3163-3208, Oxford University Press, 2012 (article)
Schuler, C., Hirsch, M., Harmeling, S., Schölkopf, B.
Non-stationary correction of optical aberrations
In pages: 659-666 , (Editors: DN Metaxas and L Quan and A Sanfeliu and LJ Van Gool), IEEE, Piscataway, NJ, USA, 13th IEEE International Conference on Computer Vision (ICCV), November 2011 (inproceedings)
Hirsch, M., Schuler, C., Harmeling, S., Schölkopf, B.
Fast removal of non-uniform camera shake
In pages: 463-470 , (Editors: DN Metaxas and L Quan and A Sanfeliu and LJ Van Gool), IEEE, Piscataway, NJ, USA, 13th IEEE International Conference on Computer Vision (ICCV), November 2011 (inproceedings)
Burger, H., Harmeling, S.
Improving Denoising Algorithms via a Multi-scale Meta-procedure
In Pattern Recognition, pages: 206-215, (Editors: Mester, R. , M. Felsberg), Springer, Berlin, Germany, 33rd DAGM Symposium, September 2011 (inproceedings)
Loktyushin, A., Harmeling, S.
Automatic foreground-background refocusing
In pages: 3445-3448, (Editors: Macq, B. , P. Schelkens), IEEE, Piscataway, NJ, USA, 18th IEEE International Conference on Image Processing (ICIP), September 2011 (inproceedings)
Kitching, T., Amara, A., Gill, M., Harmeling, S., Heymans, C., Massey, R., Rowe, B., Schrabback, T., Voigt, L., Balan, S., Bernstein, G., Bethge, M., Bridle, S., Courbin, F., Gentile, M., Heavens, A., Hirsch, M., Hosseini, R., Kiessling, A., Kirk, D., Kuijken, K., Mandelbaum, R., Moghaddam, B., Nurbaeva, G., Paulin-Henriksson, S., Rassat, A., Rhodes, J., Schölkopf, B., Shawe-Taylor, J., Shmakova, M., Taylor, A., Velander, M., van Waerbeke, L., Witherick, D., Wittman, D.
Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook
Annals of Applied Statistics, 5(3):2231-2263, September 2011 (article)
Hirsch, M., Harmeling, S., Sra, S., Schölkopf, B.
Online Multi-frame Blind Deconvolution with Super-resolution and Saturation Correction
Astronomy & Astrophysics, 531(A9):11, July 2011 (article)
Harmeling, S., Williams, C.
Greedy Learning of Binary Latent Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(6):1087-1097, June 2011 (article)
Schuler, C., Hirsch, M., Harmeling, S., Schölkopf, B.
Non-stationary Correction of Optical Aberrations
(1), Max Planck Institute for Intelligent Systems, Tübingen, Germany, May 2011 (techreport)
Burger, H., Schölkopf, B., Harmeling, S.
Removing noise from astronomical images using a pixel-specific noise model
In pages: 8, (Editors: H Lensch and SL Narasimhan and ME Testorf), IEEE, Piscataway, NJ, USA, IEEE International Conference on Computational Photography (ICCP), April 2011 (inproceedings)
Harmeling, S., Sra, S., Hirsch, M., Schölkopf, B.
Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction via Incremental EM
In Proceedings of the 17th International Conference on Image Processing (ICIP 2010), pages: 3313-3316, IEEE, Piscataway, NJ, USA, 17th International Conference on Image Processing (ICIP), September 2010 (inproceedings)
Harmeling, S., Hirsch, M., Sra, S., Schölkopf, B.
Method and device for recovering a digital image from a sequence of observed digital images
United States Provisional Patent Application, No 61387025, September 2010 (patent)
Bridle, S., Balan, S., Bethge, M., Gentile, M., Harmeling, S., Heymans, C., Hirsch, M., Hosseini, R., Jarvis, M., Kirk, D., Kitching, T., Kuijken, K., Lewis, A., Paulin-Henriksson, S., Schölkopf, B., Velander, M., Voigt, L., Witherick, D., Amara, A., Bernstein, G., Courbin, F., Gill, M., Heavens, A., Mandelbaum, R., Massey, R., Moghaddam, B., Rassat, A., Refregier, A., Rhodes, J., Schrabback, T., Shawe-Taylor, J., Shmakova, M., van Waerbeke, L., Wittman, D.
Results of the GREAT08 Challenge: An image analysis competition for cosmological lensing
Monthly Notices of the Royal Astronomical Society, 405(3):2044-2061, July 2010 (article)
Hirsch, M., Sra, S., Schölkopf, B., Harmeling, S.
Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution
In Proceedings of the 23rd IEEE Conference on Computer Vision and Pattern Recognition, pages: 607-614, IEEE, Piscataway, NJ, USA, CVPR, June 2010 (inproceedings)
Baehrens, D., Schroeter, T., Harmeling, S., Kawanabe, M., Hansen, K., Müller, K.
How to Explain Individual Classification Decisions
Journal of Machine Learning Research, 11, pages: 1803-1831, June 2010 (article)
Harmeling, S., Hirsch, M., Schölkopf, B.
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake
In Advances in Neural Information Processing Systems 23, pages: 829-837, (Editors: J Lafferty and CKI Williams and J Shawe-Taylor and RS Zemel and A Culotta), Curran, Red Hook, NY, USA, 24th Annual Conference on Neural Information Processing Systems (NIPS), 2010 (inproceedings)
Harmeling, S., Sra, S., Hirsch, M., Schölkopf, B.
An Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction
(187), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2009 (techreport)
Hirsch, M., Sra, S., Schölkopf, B., Harmeling, S.
Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution
(188), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2009 (techreport)
Harmeling, S.
Inferring textual entailment with a probabilistically sound calculus
Natural Language Engineering, 15(4):459-477, October 2009 (article)
Lampert, C., Nickisch, H., Harmeling, S.
Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer
In CVPR 2009, pages: 951-958, IEEE Service Center, Piscataway, NJ, USA, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2009 (inproceedings)
Harmeling, S., Hirsch, M., Sra, S., Schölkopf, B.
Online blind deconvolution for astronomical imaging
In Proceedings of the First IEEE International Conference Computational Photography (ICCP 2009), pages: 1-7, IEEE, Piscataway, NJ, USA, First IEEE International Conference on Computational Photography (ICCP), April 2009 (inproceedings)
Harmeling, S., Toussaint, M.
Bayesian Estimators for Robins-Ritovs Problem
(EDI-INF-RR-1189), School of Informatics, University of Edinburgh, October 2007 (techreport)
Harmeling, S.
An Extensible Probabilistic Transformation-based Approach to the Third Recognizing Textual Entailment Challenge
In TextEntail 2007, pages: 137-142, ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, June 2007 (inproceedings)
Harmeling, S.
Exploring model selection techniques for nonlinear dimensionality reduction
(EDI-INF-RR-0960), School of Informatics, University of Edinburgh, March 2007 (techreport)
Toussaint, M., Harmeling, S., Storkey, A.
Probabilistic inference for solving (PO)MDPs
(934), School of Informatics, University of Edinburgh, December 2006 (techreport)
Harmeling, S., Dornhege, G., Tax, D., Meinecke, F., Müller, K.
From outliers to prototypes: Ordering data
Neurocomputing, 69(13-15):1608-1618, August 2006 (article)