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Deep Depth From Focus

Oct 28, 2018
Caner Hazirbas, Sebastian Georg Soyer, Maximilian Christian Staab, Laura Leal-Taixé, Daniel Cremers

* accepted to Asian Conference on Computer Vision (ACCV) 2018 

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What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?

Mar 22, 2018
Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox

* added references (UCL dataset); added IJCV copyright information 

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Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems

Aug 30, 2017
Tim Meinhardt, Michael Moeller, Caner Hazirbas, Daniel Cremers

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Image-based localization using LSTMs for structured feature correlation

Aug 20, 2017
Florian Walch, Caner Hazirbas, Laura Leal-Taixé, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers

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