Подписаться
Thomas Brox
Thomas Brox
University of Freiburg and Amazon
Подтвержден адрес электронной почты в домене cs.uni-freiburg.de - Главная страница
Название
Процитировано
Процитировано
Год
U-net: Convolutional networks for biomedical image segmentation
O Ronneberger, P Fischer, T Brox
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015
754762015
3D U-Net: learning dense volumetric segmentation from sparse annotation
Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox, O Ronneberger
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
63252016
Striving for simplicity: The all convolutional net
JT Springenberg, A Dosovitskiy, T Brox, M Riedmiller
arXiv preprint arXiv:1412.6806, 2014
53312014
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
4561*2015
High accuracy optical flow estimation based on a theory for warping
T Brox, A Bruhn, N Papenberg, J Weickert
Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004
36652004
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
33292017
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
25972016
Discriminative unsupervised feature learning with convolutional neural networks
A Dosovitskiy, JT Springenberg, M Riedmiller, T Brox
Advances in neural information processing systems 27, 2014
18412014
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
17412010
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
14572019
Generating images with perceptual similarity metrics based on deep networks
A Dosovitskiy, T Brox
Advances in neural information processing systems 29, 2016
12242016
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
10242015
Object segmentation by long term analysis of point trajectories
T Brox, J Malik
European conference on computer vision, 282-295, 2010
10002010
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
8282017
Inverting visual representations with convolutional networks
A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2016
797*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
7922017
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
7562017
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
7492017
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
7492016
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
6522013
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20