Michael Hirsch

According to our database, Michael Hirsch authored at least 31 papers between 2008 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Discriminative Transfer Learning for General Image Restoration.

Lei Xiao, Felix Heide, Wolfgang Heidrich, Bernhard Schölkopf, Michael Hirsch

IEEE Trans. Image Process., 2018

Photorealistic Video Super Resolution.

Eduardo Pérez-Pellitero, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf

CoRR, 2018

Automatic estimation of modulation transfer functions.

Matthias Bauer, Valentin Volchkov, Michael Hirsch, Bernhard Schölkopf

Proceedings of the 2018 IEEE International Conference on Computational Photography, 2018

Spatio-Temporal Transformer Network for Video Restoration.

Tae Hyun Kim, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf

Proceedings of the Computer Vision - ECCV 2018, 2018

The Unreasonable Effectiveness of Texture Transfer for Single Image Super-Resolution.

Muhammad Waleed Gondal, Bernhard Schölkopf, Michael Hirsch

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

A Computational Camera with Programmable Optics for Snapshot High-Resolution Multispectral Imaging.

Jieen Chen, Michael Hirsch, Bernhard Eberhardt, Hendrik P. A. Lensch

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images.

Waleed M. Gondal, Jan M. Köhler, Rene Grzeszick, Gernot A. Fink, Michael Hirsch

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Learning Blind Motion Deblurring.

Patrick Wieschollek, Michael Hirsch, Bernhard Schölkopf, Hendrik P. A. Lensch

Proceedings of the IEEE International Conference on Computer Vision, 2017

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis.

Mehdi S. M. Sajjadi, Bernhard Schölkopf, Michael Hirsch

Proceedings of the IEEE International Conference on Computer Vision, 2017

Online Video Deblurring via Dynamic Temporal Blending Network.

Tae Hyun Kim, Kyoung Mu Lee, Bernhard Schölkopf, Michael Hirsch

Proceedings of the IEEE International Conference on Computer Vision, 2017

Automatic detection of motion artifacts in MR images using CNNS.

Kristof Meding, Alexander Loktyushin, Michael Hirsch

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Flexible Spatio-Temporal Networks for Video Prediction.

Chaochao Lu, Michael Hirsch, Bernhard Schölkopf

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Phase-coded Aperture Camera with Programmable Optics.

Jieen Chen, Michael Hirsch, Rainer Heintzmann, Bernhard Eberhardt, Hendrik P. A. Lensch

Proceedings of the Computational Imaging XV, Burlingame, 2017

2016

Learning to Deblur.

Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning High-Order Filters for Efficient Blind Deconvolution of Document Photographs.

Lei Xiao, Jue Wang, Wolfgang Heidrich, Michael Hirsch

Proceedings of the Computer Vision - ECCV 2016, 2016

Depth Estimation Through a Generative Model of Light Field Synthesis.

Mehdi S. M. Sajjadi, Rolf Köhler, Bernhard Schölkopf, Michael Hirsch

Proceedings of the Pattern Recognition - 38th German Conference, 2016

End-to-End Learning for Image Burst Deblurring.

Patrick Wieschollek, Bernhard Schölkopf, Hendrik P. A. Lensch, Michael Hirsch

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Self-Calibration of Optical Lenses.

Michael Hirsch, Bernhard Schölkopf

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2013

Improving alpha matting and motion blurred foreground estimation.

Rolf Köhler, Michael Hirsch, Bernhard Schölkopf, Stefan Harmeling

Proceedings of the IEEE International Conference on Image Processing, 2013

On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit.

Stefan Harmeling, Michael Hirsch, Bernhard Schölkopf

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

A blind deconvolution approach for pseudo CT prediction from MR image pairs.

Michael Hirsch, Matthias Hofmann, Frederic Mantlik, Bernd J. Pichler, Bernhard Schölkopf, Michael Habeck

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Blind Correction of Optical Aberrations.

Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf

Proceedings of the Computer Vision - ECCV 2012, 2012

Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database.

Rolf Köhler, Michael Hirsch, Betty J. Mohler, Bernhard Schölkopf, Stefan Harmeling

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

A Blind Deconvolution Approach for Improving the Resolution of Cryo-EM Density Maps.

Michael Hirsch, Bernhard Schölkopf, Michael Habeck

J. Comput. Biol., 2011

Non-stationary correction of optical aberrations.

Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf

Proceedings of the IEEE International Conference on Computer Vision, 2011

Fast removal of non-uniform camera shake.

Michael Hirsch, Christian J. Schuler, Stefan Harmeling, Bernhard Schölkopf

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

A New Algorithm for Improving the Resolution of Cryo-EM Density Maps.

Michael Hirsch, Bernhard Schölkopf, Michael Habeck

Proceedings of the Research in Computational Molecular Biology, 2010

Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake.

Stefan Harmeling, Michael Hirsch, Bernhard Schölkopf

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.

Stefan Harmeling, Suvrit Sra, Michael Hirsch, Bernhard Schölkopf

Proceedings of the International Conference on Image Processing, 2010

Efficient filter flow for space-variant multiframe blind deconvolution.

Michael Hirsch, Suvrit Sra, Bernhard Schölkopf, Stefan Harmeling

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008

Mixture models for protein structure ensembles.

Michael Hirsch, Michael Habeck

Bioinform., 2008