© Thomas Ott / TU Darmstadt

Research Funding

Our lab is currently funded by several agencies. For past funding, please see below.

ERC Consolidator Grant

Robust, Explainable Deep Networks in Computer Vision

Our research lab is supported in a significant part through an ERC Consolidator Grant.

This ERC-funded project is concerned with the development of more robust and explainable deep learning models. Particular goals include bridging the domain gap in images and increasing user trust, e.g., in the context of autonomous driving.

Funding duration: 2020 – 2025




The Adaptive Mind

Website: The Adaptive Mind

Funding duration: 2021-2025



The Third Wave of Artificial Intelligence

Researchers at Darmstadt University of Technology want to pioneer a new era in the development of artificial intelligence (AI): These AI systems will acquire human-like communication and thinking skills, recognize and classify new situations, and adapt to them autonomously. The novel AI systems will not only be able to learn, but they will also grasp facts and link them to forms of abstract thinking. They will draw logical conclusions and make contextual decisions and learn from them again. This new future perspective is referred to as the “third wave of AI” in reference to the two previous developmental thrusts in artificial intelligence.

Funding duration: 2021 – 2025



Explainable models for human and artificial intelligence

The LOEWE Research Cluster WhiteBox is aimed at developing methods at the intersection between Cognitive Science and AI to make human and artificial intelligence more understandable.

Funding duration: 2021 – 2024




Emergency Responsive Digital Cities

Started in 2020, the LOEWE center emergenCITY is researching resilient infrastructures of digital cities that can withstand crises and disasters. emergenCITY is organized as an interdisciplinary and multi-site cooperation led by Technische Universität Darmstadt, Universität Kassel, and Philipps-Universität Marburg as well as the Federal Office of Civil Protection and Disaster Assistance and the City of Darmstadt. The center partners with several other institutions from academia, industry, and public administration.

Funding duration: 2020 – 2023



Intel Network on Intelligent Systems (NIS)

Member since 2017

Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries.


Past Projects

The following projects have been completed:


ERC Starting Grant

Visual Learning and Inference in Joint Scene Models (VISLIM)

Our research lab is supported in a significant part through an ERC Starting Grant.

This ERC-funded project is concerned with the joint estimation of several scene attributes from one or more images, with the aim of leveraging their dependencies. The project covers aspects of modeling, learning and inference (in) such models.

Funding duration: 2013 – 2018



Smiths Detection

Collaborative research

Funding duration: 2016 – 2018



Faculty Support Program

Funding duration: 2015 – 2017

Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries.



Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds (Harvest4D)

This EU-funded STREP is concerned with harvesting data from commodity sensor clouds, such as cell phones and inexpensive range sensors, for capturing 3D models of our dynamic world.

Partners: TU Vienna, TU Darmstadt, CNR, U Bonn, TelecomParisTech, TU Delft
Funding period: 2013 – 2016

Project page


DFG Research Training Group

Cooperative, Adaptive and Responsive Monitoring in Mixed Mode Environments (GRK 1362)

The DFG-funded Research Training Group addresses fundamental scientific and technological challenges arising from the collaboration of networked autonomous entities that accomplish a common task through actively monitoring the environment and through requisite responses via a variety of stationary and mobile sensors/actuators. The sensing/actuating entities (and the collaborative system thus formed) monitor, acquire, manage and disseminate data with the goal of deriving higher level (context/event) information upon which the system can respond appropriately.

Funding duration: 2006 – 2015

Microsoft Research Scholarship Program

Microsoft Research provided a PhD scholarship to Uwe Schmidt.

Project partners: Microsoft Research Cambridge
Funding duration:
2011 – 2013

German Ministry of Education & Research (BMBF)

Sicherheits-Untersuchungen mittels Röntgenbild-Analyse (SICURA)

This project was concerned with the automatic detection of objects in multiple-view x-ray images.

Project partners: Smiths Detection, U Kaiserslautern, U of Applied Sciences Rhein Main, U Frankfurt
Funding duration: 2010 – 2013

German Research Foundation (DFG)

Heinz Maier-Leibnitz-Prize

Funding duration: 2012

Adolf Messer Foundation

Adolf Messer Prize

Funding duration: 2011