Stebėti
Thomas Brox
Pavadinimas
Cituota
Cituota
Metai
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
1084302015
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
87332016
Striving for simplicity: The all convolutional net
JT Springenberg, A Dosovitskiy, T Brox, M Riedmiller
arXiv preprint arXiv:1412.6806, 2014
61732014
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
5496*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
39842017
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
38632004
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
33482016
Discriminative unsupervised feature learning with convolutional neural networks
A Dosovitskiy, JT Springenberg, M Riedmiller, T Brox
Advances in neural information processing systems 27, 2014
21082014
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
19622019
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
18442010
Generating images with perceptual similarity metrics based on deep networks
A Dosovitskiy, T Brox
Advances in neural information processing systems 29, 2016
13882016
Towards total recall in industrial anomaly detection
K Roth, L Pemula, J Zepeda, B Schölkopf, T Brox, P Gehler
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
11302022
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
10552015
Object segmentation by long term analysis of point trajectories
T Brox, J Malik
European conference on computer vision, 282-295, 2010
10492010
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
10422017
Inverting visual representations with convolutional networks
A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2016
937*2016
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
9172017
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
9092017
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
8802016
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
8682017
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Straipsniai 1–20