Visual Inference
The Visual Inference Lab at TU Darmstadt, led by Prof. Stefan Roth, conducts research in several areas of computer vision with an emphasis on statistical methods and machine learning. We develop mathematical models and algorithms for analyzing and processing digital images with the computer. For example, we work on semantic scene understanding, image motion estimation, deep learning, probabilistic methods, image restoration, and object tracking.
Moreover, we regularly offer courses, seminars and labs in computer science, particularly in computer vision and machine learning.
Recent Highlight
News & Events
-
Two Open PhD Positions
Application deadline Oct 31, 2019
See our Jobs page for details.
-
CVPR 2019 Outstanding Reviewers
June 9, 2019
Jochen Gast, Junhwa Hur, and Anne Wannenwetsch were chosen as outstanding reviewers for CVPR 2019. Congratulations!
Recent Publications
-
CVPR 2019
J. Hur and S. Roth, “Iterative residual refinement for joint optical flow and occlusion estimation.” [coming soon]
-
CVPR 2019
N. Araslanov, C. Rothkopf, and S. Roth, “Actor-critic instance segmentation.” [coming soon]