Thomas Brox

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Olaf Ronnebergerapl. Prof. for Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Alexey DosovitskiyInceptiveVerified email at inceptive.team
Joachim WeickertProfessor of Mathematics and Computer Science, Saarland UniversityVerified email at mia.uni-saarland.de
Daniel CremersTechnical University of MunichVerified email at tum.de
Eddy IlgFacebook Reality LabsVerified email at eddy-ilg.net
Özgün ÇİÇEKDepartment of Computer Science, University of Freiburg, Freiburg, GermanyVerified email at cs.uni-freiburg.de
Bodo RosenhahnLeibniz Universität HannoverVerified email at tnt.uni-hannover.de
Margret KeuperUniversity of SiegenVerified email at cs.uni-freiburg.de
Peter OchsUniversity of TübingenVerified email at math.uni-tuebingen.de
Andrés BruhnProfessor of Computer Science, University of StuttgartVerified email at vis.uni-stuttgart.de
Jitendra MalikProfessor of EECS, UC BerkeleyVerified email at eecs.berkeley.edu
Tonmoy SaikiaUniversity of FreiburgVerified email at cs.uni-freiburg.de
Wolfram BurgardProfessor of Computer Science, University of FreiburgVerified email at informatik.uni-freiburg.de
Jost Tobias SpringenbergAlbert-Ludwigs-Universität FreiburgVerified email at informatik.uni-freiburg.de
Ahmed AbdulkadirUniversity of PennsylvaniaVerified email at pennmedicine.upenn.edu
Gabriel Leivas OliveiraBorealis AIVerified email at informatik.uni-freiburg.de
Maxim TatarchenkoBosch Center for Artificial IntelligenceVerified email at de.bosch.com
MohammadReza ZolfaghariPhD, University of FreiburgVerified email at cs.uni-freiburg.de
Hans-Peter SeidelProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de

Thomas Brox

University of Freiburg and Amazon

Verified email at cs.uni-freiburg.de - Homepage

Computer Vision Machine Learning Artificial Intelligence Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
U-net: Convolutional networks for biomedical image segmentation O Ronneberger, P Fischer, T Brox International Conference on Medical image computing and computer-assisted …, 2015	42565	2015
Striving for simplicity: The all convolutional net JT Springenberg, A Dosovitskiy, T Brox, M Riedmiller arXiv preprint arXiv:1412.6806, 2014	3949	2014
3D U-Net: learning dense volumetric segmentation from sparse annotation Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox, O Ronneberger International conference on medical image computing and computer-assisted …, 2016	3934	2016
High accuracy optical flow estimation based on a theory for warping T Brox, A Bruhn, N Papenberg, J Weickert European conference on computer vision, 25-36, 2004	3360	2004
Flownet: Learning optical flow with convolutional networks A Dosovitskiy, P Fischer, E Ilg, C Hazirbas, V Golkov, P van der Smagt, ... 2015 IEEE International Conference on Computer Vision (ICCV), 2758-2766, 2015	3303*	2015
Flownet 2.0: Evolution of optical flow estimation with deep networks E Ilg, N Mayer, T Saikia, M Keuper, A Dosovitskiy, T Brox Proceedings of the IEEE conference on computer vision and pattern …, 2017	2325	2017
A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation N Mayer, E Ilg, P Hausser, P Fischer, D Cremers, A Dosovitskiy, T Brox Proceedings of the IEEE conference on computer vision and pattern …, 2016	1782	2016
Large displacement optical flow: descriptor matching in variational motion estimation T Brox, J Malik IEEE transactions on pattern analysis and machine intelligence 33 (3), 500-513, 2010	1599	2010
Discriminative unsupervised feature learning with convolutional neural networks A Dosovitskiy, JT Springenberg, M Riedmiller, T Brox Advances in neural information processing systems 27, 2014	1356	2014
Generating images with perceptual similarity metrics based on deep networks A Dosovitskiy, T Brox Advances in neural information processing systems 29, 2016	985	2016
Object segmentation by long term analysis of point trajectories T Brox, J Malik European conference on computer vision, 282-295, 2010	928	2010
U-Net: deep learning for cell counting, detection, and morphometry T Falk, D Mai, R Bensch, Ö Çiçek, A Abdulkadir, Y Marrakchi, A Böhm, ... Nature methods 16 (1), 67-70, 2019	886	2019
Learning to generate chairs with convolutional neural networks A Dosovitskiy, J Tobias Springenberg, T Brox Proceedings of the IEEE conference on computer vision and pattern …, 2015	728	2015
Inverting visual representations with convolutional networks A Dosovitskiy, T Brox Proceedings of the IEEE conference on computer vision and pattern …, 2016	655*	2016
Highly accurate optic flow computation with theoretically justified warping N Papenberg, A Bruhn, T Brox, S Didas, J Weickert International Journal of Computer Vision 67 (2), 141-158, 2006	608	2006
Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs M Tatarchenko, A Dosovitskiy, T Brox Proceedings of the IEEE international conference on computer vision, 2088-2096, 2017	583	2017
Demon: Depth and motion network for learning monocular stereo B Ummenhofer, H Zhou, J Uhrig, N Mayer, E Ilg, A Dosovitskiy, T Brox Proceedings of the IEEE conference on computer vision and pattern …, 2017	573	2017
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks A Nguyen, A Dosovitskiy, J Yosinski, T Brox, J Clune Advances in neural information processing systems 29, 2016	564	2016
Dense point trajectories by gpu-accelerated large displacement optical flow N Sundaram, T Brox, K Keutzer European conference on computer vision, 438-451, 2010	528	2010
Segmentation of moving objects by long term video analysis P Ochs, J Malik, T Brox IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (3), 500-513, 2013	526	2013

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