Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Artigo
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Segmentation of Moving Objects by Long Term Video AnalysisOchs, Peter ; Malik, Jitendra ; Brox, ThomasIEEE transactions on pattern analysis and machine intelligence, 2014-06, Vol.36 (6), p.1187-1200 [Periódico revisado por pares]Los Alamitos, CA: IEEETexto completo disponível |
2 |
Material Type: Capítulo de Livro
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U-Net: Convolutional Networks for Biomedical Image SegmentationRonneberger, Olaf ; Fischer, Philipp ; Brox, ThomasMedical Image Computing and Computer-Assisted Intervention – MICCAI 2015, p.234-241 [Periódico revisado por pares]Cham: Springer International PublishingTexto completo disponível |
3 |
Material Type: Artigo
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Artistic Style Transfer for Videos and Spherical ImagesRuder, Manuel ; Dosovitskiy, Alexey ; Brox, ThomasInternational journal of computer vision, 2018-11, Vol.126 (11), p.1199-1219 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
4 |
Material Type: Artigo
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iPiano: Inertial Proximal Algorithm for Nonconvex OptimizationOchs, Peter ; Chen, Yunjin ; Brox, Thomas ; Pock, ThomasSIAM journal on imaging sciences, 2014-01, Vol.7 (2), p.1388-1419 [Periódico revisado por pares]Philadelphia: Society for Industrial and Applied MathematicsTexto completo disponível |
5 |
Material Type: Artigo
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What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?Mayer, Nikolaus ; Ilg, Eddy ; Fischer, Philipp ; Hazirbas, Caner ; Cremers, Daniel ; Dosovitskiy, Alexey ; Brox, ThomasInternational journal of computer vision, 2018-09, Vol.126 (9), p.942-960 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
6 |
Material Type: Ata de Congresso
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A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow EstimationMayer, Nikolaus ; Ilg, Eddy ; Hausser, Philip ; Fischer, Philipp ; Cremers, Daniel ; Dosovitskiy, Alexey ; Brox, Thomas2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.4040-4048IEEETexto completo disponível |
7 |
Material Type: Artigo
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U-Net: deep learning for cell counting, detection, and morphometryFalk, Thorsten ; Mai, Dominic ; Bensch, Robert ; Çiçek, Özgün ; Abdulkadir, Ahmed ; Marrakchi, Yassine ; Böhm, Anton ; Deubner, Jan ; Jäckel, Zoe ; Seiwald, Katharina ; Dovzhenko, Alexander ; Tietz, Olaf ; Dal Bosco, Cristina ; Walsh, Sean ; Saltukoglu, Deniz ; Tay, Tuan Leng ; Prinz, Marco ; Palme, Klaus ; Simons, Matias ; Diester, Ilka ; Brox, Thomas ; Ronneberger, OlafNature methods, 2019-01, Vol.16 (1), p.67-70 [Periódico revisado por pares]United States: Nature Publishing GroupTexto completo disponível |
8 |
Material Type: Artigo
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Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical CoordinatesLiu, Kun ; Skibbe, Henrik ; Schmidt, Thorsten ; Blein, Thomas ; Palme, Klaus ; Brox, Thomas ; Ronneberger, OlafInternational journal of computer vision, 2014-02, Vol.106 (3), p.342-364 [Periódico revisado por pares]Boston: Springer USTexto completo disponível |
9 |
Material Type: Artigo
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q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI ScansGolkov, Vladimir ; Dosovitskiy, Alexey ; Sperl, Jonathan I. ; Menzel, Marion I. ; Czisch, Michael ; Samann, Philipp ; Brox, Thomas ; Cremers, DanielIEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1344-1351United States: IEEETexto completo disponível |
10 |
Material Type: Artigo
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Non-smooth Non-convex Bregman Minimization: Unification and New AlgorithmsOchs, Peter ; Fadili, Jalal ; Brox, ThomasJournal of optimization theory and applications, 2019-04, Vol.181 (1), p.244-278 [Periódico revisado por pares]New York: Springer USTexto completo disponível |