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 IlgProfessor at Saarland UniversityVerified email at cs.uni-saarland.de
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
Tonmoy SaikiaUniversity of FreiburgVerified 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
Jost Tobias SpringenbergAlbert-Ludwigs-Universität FreiburgVerified email at informatik.uni-freiburg.de
Jitendra MalikProfessor of EECS, UC BerkeleyVerified email at eecs.berkeley.edu
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergVerified email at utn.de
Ahmed AbdulkadirLausanne University HospitalVerified email at chuv.ch
Gabriel Leivas OliveiraBorealis AIVerified email at informatik.uni-freiburg.de
Maxim TatarchenkoBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Hans-Peter SeidelProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
MohammadReza ZolfaghariPhD, University of FreiburgVerified email at cs.uni-freiburg.de
Martin RiedmillerDeepMindVerified email at google.com

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	49175	2015
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	4468	2016
Striving for simplicity: The all convolutional net JT Springenberg, A Dosovitskiy, T Brox, M Riedmiller arXiv preprint arXiv:1412.6806, 2014	4219	2014
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	3599*	2015
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	3431	2004
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	2569	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	1977	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	1628	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	1479	2014
Generating images with perceptual similarity metrics based on deep networks A Dosovitskiy, T Brox Advances in neural information processing systems 29, 2016	1035	2016
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	1006	2019
Object segmentation by long term analysis of point trajectories T Brox, J Malik European conference on computer vision, 282-295, 2010	949	2010
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	730	2015
Inverting visual representations with convolutional networks A Dosovitskiy, T Brox Proceedings of the IEEE conference on computer vision and pattern …, 2016	697*	2016
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	628	2017
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	619	2006
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	615	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	609	2016
Sparsity invariant cnns J Uhrig, N Schneider, L Schneider, U Franke, T Brox, A Geiger 2017 international conference on 3D Vision (3DV), 11-20, 2017	582	2017
Learning to estimate 3d hand pose from single rgb images C Zimmermann, T Brox Proceedings of the IEEE international conference on computer vision, 4903-4911, 2017	571	2017

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