Thomas Brox
Thomas Brox
Professor at the University of Freiburg and Amazon Scholar
Verifierad e-postadress på cs.uni-freiburg.de - Startsida
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U-net: Convolutional networks for biomedical image segmentation
O Ronneberger, P Fischer, T Brox
International Conference on Medical image computing and computer-assisted …, 2015
263092015
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
31212004
Striving for simplicity: The all convolutional net
JT Springenberg, A Dosovitskiy, T Brox, M Riedmiller
arXiv preprint arXiv:1412.6806, 2014
29872014
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
2558*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
25452016
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
17272017
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
15092010
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
12712016
Object segmentation by long term analysis of point trajectories
T Brox, J Malik
European conference on computer vision, 282-295, 2010
8702010
Generating images with perceptual similarity metrics based on deep networks
A Dosovitskiy, T Brox
arXiv preprint arXiv:1602.02644, 2016
7882016
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
6752015
Discriminative unsupervised feature learning with convolutional neural networks
A Dosovitskiy, JT Springenberg, M Riedmiller, T Brox
NIPS 2 (4), 2014
6442014
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
5762006
Inverting visual representations with convolutional networks
A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2016
517*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
5132019
Dense point trajectories by gpu-accelerated large displacement optical flow
N Sundaram, T Brox, K Keutzer
European conference on computer vision, 438-451, 2010
4812010
Detecting people using mutually consistent poselet activations
L Bourdev, S Maji, T Brox, J Malik
European conference on computer vision, 168-181, 2010
4782010
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
4612013
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
4502017
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
4342017
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Artiklar 1–20