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Computer Vision & Artificial Intelligence
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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Groups

Prof. Dr. Florian Bernard
Prof. Dr. Florian Bernard
Prof. Dr. Daniel Cremers
Prof. Dr. Daniel Cremers

Computer Vision Group

Our research group is working on a range of topics in Computer Vision, Machine Learning and Artificial Intelligence. Computer Vision is about interpreting images. More specifically the goal is to infer properties of the observed world from an image or a collection of images. Our work combines a range of mathematical domains including statistical inference, differential geometry, continuous (partial differential equations) and discrete (graph-theoretic) optimization techniques.

Research and application areas include Visual SLAM, Image-based 3D Reconstruction, Shape Analysis, Deep Learning, Biomedicine, Robot Vision, RGB-D Vision, Image Segmentation, Convex Relaxation Methods.

Prof. Dr. Laura Leal-Taixe
Prof. Dr. Laura Leal-Taixe
Dynamic Vision and Learning Group

The Dynamic Vision and Learning (DVL) group at TUM is working on key problems in Computer Vision and Machine Learning. The main goal of the research team is dynamic scene understanding, i.e., to allow robots to see and understand the world around them from visual (video) input. The team works with cutting-edge deep learning methods and embeds classic computer vision knowledge such as 3D geometry or graph theory.

Research areas include multiple object tracking, video object segmentation, pedestrian trajectory prediction, visual localization, change detection, image retrieval, video forensics and video anonymization.

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group