Brox, Thomas

U-Net: Convolutional Networks for Biomedical Image Segmentation

Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science

Medical Image Segmentation TechniquesCell Image Analysis Techniques

Cited by 99,404

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Çiçek, Ö., Abdulkadir, A., Lienkamp, S. S., Brox, T., & Ronneberger, O. (2016) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 7,945

Flownet: Learning optical flow with convolutional networks

Dosovitskiy, A., Fischer, P., Ilg, E., Hausser, P., Hazirbas, C., Golkov, V., Smagt, P. V. D., Cremers, D., & Brox, T. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 4,313

Striving for Simplicity: The All Convolutional Net

Springenberg, J. T., Dosovitskiy, A., Brox, T., & Riedmiller, M. (2014) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,447

Towards Total Recall in Industrial Anomaly Detection

Roth, K., Pemula, L., Zepeda, J., Scholkopf, B., Brox, T., & Gehler, P. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Industrial Vision Systems and Defect DetectionAnomaly Detection Techniques and Applications

Cited by 1,810

Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation

Brox, T., & Malik, J. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 1,295

Sparsity Invariant CNNs

Uhrig, J., Schneider, N., Schneider, L., Franke, U., Brox, T., & Geiger, A. (2017) · 2017 International Conference on 3D Vision (3DV)

Advanced Neural Network ApplicationsAdvanced Vision and Imaging

Cited by 924

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

Dosovitskiy, A., Fischer, P., Springenberg, J. T., Riedmiller, M., & Brox, T. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 762

Learning to generate chairs with convolutional neural networks

Dosovitskiy, A., Springenberg, J. T., & Brox, T. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 640

Multi-view 3D Models from Single Images with a Convolutional Network

Tatarchenko, M., Dosovitskiy, A., & Brox, T. (2016) · Lecture Notes in Computer Science

3D Shape Modeling and AnalysisAdvanced Vision and Imaging

Cited by 337

DeepTAM: Deep Tracking and Mapping

Zhou, H., Ummenhofer, B., & Brox, T. (2018) · Lecture Notes in Computer Science

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 226

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?

Mayer, N., Ilg, E., Fischer, P., Hazirbas, C., Cremers, D., Dosovitskiy, A., & Brox, T. (2018) · International Journal of Computer Vision

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 191

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth

Facil, J. M., Ummenhofer, B., Zhou, H., Montesano, L., Brox, T., & Civera, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 130

Inversin relays Frizzled-8 signals to promote proximal pronephros development

Lienkamp, S., Ganner, A., Boehlke, C., Schmidt, T., Arnold, S. J., Schäfer, T., Romaker, D., Schuler, J., Hoff, S., Powelske, C., et al. (2010) · Proceedings of the National Academy of Sciences

Renal and related cancersGenetic and Kidney Cyst Diseases

Cited by 56