News

Feb. 22, 2024

Open Positions for PhD students

We are always looking for excellent researchers who are passionate about research and a PhD. The research focus of our chair is machine learning and perception (vision/audio/other sensor modalities). A current research topic is, for instance, "Lifelong and continuous learning in single and multi-agent systems with sporadic human feedback“. Apply (f/m/d) with CV and previous study grades.
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Teamphoto of our group
Jan. 11, 2024

Paper accepted at International Conference on 3D Vision (3DV) 2024

The paper titled "Towards Learning Monocular 3D Object Localization Using the Physical Laws of Motion" by Daniel Kienzle, Julian Lorenz, Katja Ludwig and Rainer Lienhart was accepted to the International Conference on 3D Vision (3DV) 2024. The paper describes a new method for localizing objects in 3D without the need for 3D ground truth. Instead, the method uses knowledge of physical laws to learn the task.

 

See https://kiedani.github.io/3DV2024/ for additional information on the paper.

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Ergebnisse 3DV 2024
Sept. 5, 2023

Paper for SG2RL @ ICCV 2023 accepted

The paper “Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes” by Julian Lorenz, Florian Barthel, Daniel Kienzle, and Rainer Lienhart is accepted at the First ICCV Workshop on Scene Graphs and Graph Representation Learning (SG2RL). The authors present Haystack, a new dataset for scene graph generation that tackles current shortcomings when evaluating with current scene graph datasets. Most notably, Haystack contains rare predicate classes and explicit negative annotations. Only through these properties can rare relationships be reliably evaluated. Based on the design of Haystack, the authors introduce three new scene graph metrics that can be used to gain more detailed insights about the prediction of rare predicate classes.

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A diagram that highlights the differences of Haystack and the PSG dataset. Haystack does not contain false negative annotations.

Contact

Address

Prof. Dr. Rainer Lienhart

Lehrstuhl für Maschinelles Lernen und Maschinelles Sehen

Institut für Informatik

Universität Augsburg

Universitätsstr. 6a

D -       89159 Augsburg

Germany

 

Phone

+49 (821) 598-5703

 

E-mail

rainer.lienhart @informatik.uni- augsburg.de

 

 

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