T
Thomas Brox
Researcher at University of Freiburg
Publications - 353
Citations - 127470
Thomas Brox is an academic researcher from University of Freiburg. The author has contributed to research in topics: Segmentation & Optical flow. The author has an hindex of 99, co-authored 329 publications receiving 94431 citations. Previous affiliations of Thomas Brox include Dresden University of Technology & University of California, Berkeley.
Papers
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Journal ArticleDOI
Deep learning is widely applicable to phenotyping embryonic development and disease
Thomas Naert,Özgün Çiçek,Paulina Ogar,Max Bürgi,Nikko-Ideen Shaidani,Michael M. Kaminski,Michael M. Kaminski,Yuxiao Xu,Kelli Grand,Marko Vujanovic,Daniel Prata,Friedhelm Hildebrandt,Thomas Brox,Olaf Ronneberger,Fabian F. Voigt,Fritjof Helmchen,Johannes Loffing,Marko E. Horb,Helen Rankin Willsey,Soeren S. Lienkamp +19 more
TL;DR: In this paper, the authors explore how deep learning (U-Net) can automate segmentation tasks in various imaging modalities, and quantify phenotypes of altered renal, neural and craniofacial development in Xenopus embryos in comparison with normal variability.
Proceedings ArticleDOI
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
TL;DR: A method-ology based on unsupervised saliency masks and self-supervised feature clustering to kickstart object discovery followed by training a semantic segmentation network on pseudo-labels to bootstrap the system on images with multiple objects is proposed.
Book ChapterDOI
The Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion
Radim Tylecek,Torsten Sattler,Hoang-An Le,Thomas Brox,Marc Pollefeys,Marc Pollefeys,Robert B. Fisher,Theo Gevers +7 more
TL;DR: This paper discusses a reconstruction challenge held as a part of the second 3D Reconstruction meets Semantics workshop (3DRMS), featuring both synthetic and real data from outdoor scenes represented by gardens with a variety of bushes, trees, other plants and objects.
Journal ArticleDOI
Numerical aspects of TV flow
TL;DR: It is shown that TV flow may act self-stabilising: even if the total variation increases by the filtering process, the resulting oscillations remain bounded by a constant that is proportional to the ratio of mesh widths.