Publications of S Harmeling

Conference Paper (21)

21.
Conference Paper
Loktyushin, A.; Harmeling, S.: Automatic foreground-background refocusing. In: 18th IEEE International Conference on Image Processing (ICIP 2011), pp. 3445 - 3448 (Eds. Macq, P.; Schelkens, B.). 18th IEEE International Conference on Image Processing (ICIP 2011), Brussels, Belgium. IEEE, Piscataway, NJ, USA (2011)
22.
Conference Paper
Harmeling, S.; Hirsch, M.; Schölkopf, B.: Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake. Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, BC, Canada, December 06, 2010 - December 11, 2010. Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, pp. 829 - 837 (2011)
23.
Conference Paper
Burger, H.; Schölkopf, B.; Harmeling, S.: Removing noise from astronomical images using a pixel-specific noise model. In: IEEE International Conference on Computational Photography (ICCP 2011), pp. 1 - 8 (Eds. Lensch, H.; Narasimhan, S.; Testorf, M.). IEEE International Conference on Computational Photography (ICCP 2011), Pittsburgh, PA, USA, April 08, 2011 - April 10, 2011. IEEE, Piscataway, NJ, USA (2011)
24.
Conference Paper
Harmeling, S.; Sra, S.; Hirsch, M.; Schölkopf, B.: Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction via Incremental EM. In: 17th International Conference on Image Processing (ICIP 2010), pp. 3313 - 3316. 17th International Conference on Image Processing (ICIP 2010), Hong Kong, China, September 26, 2010 - September 29, 2010. IEEE, Piscataway, NJ, USA (2010)
25.
Conference Paper
Hirsch, M.; Sra, S.; Schölkopf, B.; Harmeling, S.: Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution. In: Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), pp. 607 - 614. Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), San Francisco, CA, USA, June 13, 2010 - June 18, 2010. IEEE, Piscataway, NJ, USA (2010)
26.
Conference Paper
Lampert, C.; Nickisch, H.; Harmeling, S.: Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 951 - 958. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), Miami Beach, FL, USA, June 20, 2009 - June 25, 2009. IEEE Service Center, Piscataway, NJ, USA (2009)
27.
Conference Paper
Harmeling, S.; Hirsch, M.; Sra, S.; Schölkopf, B.: Online blind deconvolution for astronomical imaging. In: 2009 IEEE International Conference on Computational Photography (ICCP), pp. 1 - 7. First IEEE International Conference Computational Photography (ICCP 2009), San Francisco, CA, USA, April 16, 2009 - April 17, 2009. IEEE, Piscataway, NJ, USA (2009)
28.
Conference Paper
Harmeling, S.: An Extensible Probabilistic Transformation-based Approach to the Third Recognizing Textual Entailment Challenge. In: RTE '07: ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, pp. 137 - 142. ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (TextEntail 2007), Praha, Czech Republic, June 28, 2007 - June 29, 2007. Association for Computational Linguistics, Stroudsburg, PA, USA (2007)
29.
Conference Paper
Honkela, A.; Harmeling, S.; Lundqvist, L.; Valpola, H.: Using kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method. In: Independent Component Analysis and Blind Signal Separation: Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004, pp. 790 - 797 (Eds. Puntonet, C.; Prieto, A.). Fifth International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2004), Granada, Spain, September 22, 2004 - September 24, 2004. Springer, Berlin, Germany (2004)
30.
Conference Paper
Meinecke, F.; Harmeling, S.; Müller, K.-R.: Robust ICA for Super-Gaussian Sources. In: Independent Component Analysis and Blind Signal Separation: Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004, pp. 217 - 224 (Eds. Puntonet, C.; Prieto, A.). Fifth International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2004), Granada, Spain, September 22, 2004 - September 24, 2004. Springer, Berlin, Germany (2004)
31.
Conference Paper
Harmeling, S.; Meinecke, F.; Müller, K.-R.: Analysing ICA component by injection noise. In: Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), pp. 149 - 154 (Eds. Amari, S.-I.; Cichocki, A.; Makino, S.; Murata, N.). Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), Nara, Japan, April 01, 2003 - April 04, 2003. (2003)
32.
Conference Paper
Ziehe, A.; Kawanabe, M.; Harmeling, S.; Müller, K.-R.: Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation. In: Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), pp. 269 - 274 (Eds. Amari, S.-I.; Cichocki, A.; Makino, S.; Murata, N.). Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), Nara, Japan, April 01, 2003 - April 04, 2003. (2003)
33.
Conference Paper
Harmeling, S.; Ziehe, A.; Kawanabe, M.; Müller, K.-R.: Kernel feature spaces and nonlinear blind source separation. In: Advances in Neural Information Processing Systems 14, pp. 761 - 768 (Eds. Dietterich, T.; Becker, S.; Ghahramani, Z.). Fifteenth Annual Neural Information Processing Systems Conference (NIPS 2001), Vancouver, BC, Canada, December 03, 2001 - December 08, 2001. MIT Press, Cambridge, MA, USA (2002)
34.
Conference Paper
Harmeling, S.; Ziehe, A.; Kawanabe, M.; Blankertz, B.; Müller, K.-R.: Nonlinear blind source separation using kernel feature spaces. In: Third International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2001), pp. 102 - 107 (Eds. Lee, T.-W.; Jung, T.; Makeig, S.; Sejnowski, T.). Third International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2001), San Diego, CA, USA, December 09, 2001 - December 12, 2001. (2001)
35.
Conference Paper
Ziehe, A.; Kawanabe , M.; Harmeling, S.; Müller, K.-R.: Separation of post-nonlinear mixtures using ACE and temporal decorrelation. In: Third International Workshop on Independent Component Analysis and Blind Signal Separation (ICA 2001), pp. 433 - 438 (Eds. Lee, T.-W.; Jung, T.; Makeig, S.; Sejnowski, T.). Third International Workshop on Independent Component Analysis and Blind Signal Separation (ICA 2001), San Diego, CA, USA, December 09, 2001 - December 13, 2001. (2001)

Meeting Abstract (1)

36.
Meeting Abstract
Harmeling, S.; Janzing, D.; Schölkopf, B.: Causal inference and identifying confounder with second order statistics. In Dagstuhl Reports, 09401, p. 6 (Eds. Janzing, D.; Lauritzen, B.; Schölkopf, B.). Dagstuhl Seminar: Machine learning approaches to statistical dependences and causality, Schloss Dagstuhl, Germany, September 27, 2009 - October 02, 2009. Schloss Dagstuhl, Leibniz-Zentrum für Informatik, Wadern (2009)

Talk (1)

37.
Talk
Harmeling, S.: Efficient space-variant blind deconvolution. NIPS 2010 Workshop on Numerical Mathematics Challenges in Machine Learning (NUMML 2010), Whistler, BC, Canada (2010)

Poster (3)

38.
Poster
Schütt, H.; Harmeling, S.; Macke, J.; Wichmann, F.: Psignifit 4: Pain-free Bayesian Inference for Psychometric Functions. 15th Annual Meeting of the Vision Sciences Society (VSS 2015), St. Pete Beach, FL, USA (2015)
39.
Poster
Schütt, H.; Harmeling, S.; Macke, J.; Wichmann, F.: Pain-free bayesian inference for psychometric functions. 37th European Conference on Visual Perception (ECVP 2014), Beograd, Serbia (2014)
40.
Poster
Schütt, H.; Harmeling, S.; Macke, J.; Wichmann, F.; Wichmann, F. A.: Pain-free Bayesian inference for psychometric functions. 2014 European Mathematical Psychology Group Meeting (EMPG), Tübingen, Germany (2014)
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