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.
News & Events
J. Dong, S. Roth and B. Schiele, “Deep Wiener deconvolution: Wiener meets deep learning for image deblurring,” oral presentation. [coming soon]
F. Saeedan, S. Roth, “Boosting Monocular Depth with Panoptic Segmentation Maps.” [coming soon]
P. Dendorfer, A. Ošep, A. Milan, K. Schindler, D. Cremers, I. Reid, S. Roth, L. Leal-Taixé, “MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking.” [preprint]