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About

Thomas Brox is a computer scientist and professor of pattern recognition and image processing at the University of Freiburg, where he heads the Computer Vision Group. His research is in computer vision and machine learning, including optical flow, visual representation learning and deep neural networks. He co-authored the U-Net architecture for biomedical image segmentation and FlowNet, a convolutional-neural-network approach to optical-flow estimation. According to Scopus, Brox's publications had received more than 130,000 citations by 2026.

Most cited

415 papers in total

2015 · Lecture notes in computer science

U-Net: Convolutional Networks for Biomedical Image Segmentation

93,023 citationsRead

2016 · Lecture notes in computer science

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

8,036 citationsRead

2015

FlowNet: Learning Optical Flow with Convolutional Networks

4,337 citationsRead

2017

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

3,375 citationsRead

2004 · Lecture notes in computer science

High Accuracy Optical Flow Estimation Based on a Theory for Warping

2,619 citationsRead

2014 · arXiv (Cornell University)

Striving for Simplicity: The All Convolutional Net

2,545 citationsRead