Location & approach

By car

The campus of the Technical University of Dortmund is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits.

By bus and train

The "Dortmund Universität" S-Bahn station is located directly on the North Campus. From there, the S-Bahn line S1 runs every 20 or 30 minutes to Dortmund main station and in the opposite direction to Düsseldorf main station via Bochum, Essen and Duisburg. In addition, the university can be reached by bus lines 445, 447 and 462. Timetable information can be found on the homepage of the Rhine-Ruhr Transport Association, and DSW21 also offer an interactive route network ma

The H-Bahn

One of the landmarks of the TU Dortmund is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, while Line 2 commutes every 5 minutes between Campus North and Campus South. It covers this distance in two minutes.

By plane

From Dortmund Airport, the AirportExpress takes just over 20 minutes to Dortmund's main train station, and from there, the S-Bahn takes you to the university. A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometers away, which can be reached directly by S-Bahn from the university's train station.

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Location & approach

By car

The campus of the Technical University of Dortmund is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits.

By bus and train

The "Dortmund Universität" S-Bahn station is located directly on the North Campus. From there, the S-Bahn line S1 runs every 20 or 30 minutes to Dortmund main station and in the opposite direction to Düsseldorf main station via Bochum, Essen and Duisburg. In addition, the university can be reached by bus lines 445, 447 and 462. Timetable information can be found on the homepage of the Rhine-Ruhr Transport Association, and DSW21 also offer an interactive route network ma

The H-Bahn

One of the landmarks of the TU Dortmund is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, while Line 2 commutes every 5 minutes between Campus North and Campus South. It covers this distance in two minutes.

By plane

From Dortmund Airport, the AirportExpress takes just over 20 minutes to Dortmund's main train station, and from there, the S-Bahn takes you to the university. A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometers away, which can be reached directly by S-Bahn from the university's train station.

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Dr.-Ing. Jan Eric Lenssen receives ECVA PhD Award 2024

11/11/2024 -

in

News
Forschung

Dr.-Ing. Jan Eric Lenssen erhält ECVA PhD Award 2024

Dr.-Ing. Jan Eric Lenssen has received the ECVA PhD Award 2024, endowed with 2,500 euros.

Dr.-Ing. Jan Eric Lenssen wrote his dissertation on "Differentiable Algorithms with Data-driven Parameterization in 3D Vision" at the Chair of Computer Graphics at the Department of Computer Science at TU Dortmund University under the supervision of the former chair holder, Prof. Dr. Heinrich Müller.

The dissertation is part of the research field of deep learning (DL) for three-dimensional machine vision. It is based on the observation that the direct transfer of two-dimensional DL methods to three dimensions generally leads to high computing time and memory requirements. It reduces the amount of memory required by using a specific representation of 3D geometry based on a novel "Geometric Graph Neural Network". To reduce the time required, it pursues the concept of hybrid algorithms, which combine knowledge of the problem structure in the form of algorithms with fixed functionality with the representational power of DL models, taking into account the DL requirement of mathematical differentiability, in order to find a favorable trade-off in terms of efficiency, quality and interpretability. For implementation in the field of three-dimensional machine vision, the dissertation presents building blocks of a framework with corresponding GPU implementations. It demonstrates their viability through novel methods for two well-known tasks, for which it achieves better solutions than before. The results of the dissertation were consistently recognized by contributions to leading international conferences in machine vision and machine learning with remarkably high citation frequencies.

The official award was presented at the European Conference on Computer Vision 2024 in Milan (29.09.-04.10.2024). Further information can be found at: https://www.ecva.net