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Computer Science

D-Index
58
Citations
23243
World Ranking
3536
National Ranking
156

Overview

Uwe Franke is affiliated with Daimler in Germany and is active in research primarily within the fields of Computer Science and Engineering. Their work predominantly focuses on areas relevant to computer vision and automotive-related applications.

The scientist's publications are concentrated in the subfields of Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, and Media Technology.

Their research topics cover various advanced areas such as:

  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Autonomous Vehicle Technology and Safety
  • Robotics and Sensor-Based Localization
  • Visual Attention and Saliency Detection

Recent papers authored or coauthored by Uwe Franke include:

  • The Cityscapes Dataset for Semantic Urban Scene Understanding (2024, arXiv (Cornell University))
  • Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection (2020, TUbilio (Technical University of Darmstadt))
  • Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes (2020, arXiv (Cornell University))
  • Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time (2020, arXiv (Cornell University))

The venues where Uwe Franke frequently publishes are:

  • arXiv (Cornell University)
  • TUbilio (Technical University of Darmstadt)

Collaborations are an integral part of their scholarly work. Frequent coauthors include:

  • Nils Gählert
  • Joachim Denzler
  • Marius Cordts
  • Nicolas Jourdan
  • Mohamed Omran

Best Publications

  • The Cityscapes Dataset for Semantic Urban Scene Understanding

    Marius Cordts;Mohamed Omran;Sebastian Ramos;Timo Rehfeld

  • Making Bertha Drive?An Autonomous Journey on a Historic Route

    Julius Ziegler;Philipp Bender;Markus Schreiber;Henning Lategahn

  • Sparsity Invariant CNNs

    Jonas Uhrig;Nick Schneider;Lukas Schneider;Uwe Franke

  • Autonomous driving goes downtown

    U. Franke;D. Gavrila;S. Gorzig;F. Lindner

  • LaneLoc: Lane marking based localization using highly accurate maps

    Markus Schreiber;Carsten Knoppel;Uwe Franke

  • Installation pour la direction, régulée pour tenue de trajectoire, d'un véhicule.

    Franke Uwe;Hahn Stefan;Suissa Avshalom

  • 6D-vision: fusion of stereo and motion for robust environment perception

    Uwe Franke;Clemens Rabe;Hernán Badino;Stefan Gehrig

  • The Stixel World - A Compact Medium Level Representation of the 3D-World

    Hernán Badino;Uwe Franke;David Pfeiffer

  • Free Space Computation Using Stochastic Occupancy Grids and Dynamic Programming

    Hernán Badino;Uwe Franke;Rudolf Mester;Johann Wolfgang Goethe

  • Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling

    Sebastian Ramos;Stefan Gehrig;Peter Pinggera;Uwe Franke

  • Efficient Dense Scene Flow from Sparse or Dense Stereo Data

    Andreas Wedel;Clemens Rabe;Tobi Vaudrey;Thomas Brox

  • Real-time stereo vision for urban traffic scene understanding

    U. Franke;A. Joos

  • Stereoscopic Scene Flow Computation for 3D Motion Understanding

    Andreas Wedel;Thomas Brox;Tobi Vaudrey;Clemens Rabe

  • Making Bertha See

    Uwe Franke;David Pfeiffer;Clemens Rabe;Carsten Knoeppel

  • Pixel-level encoding and depth layering for instance-level semantic labeling

    Jonas Uhrig;Jonas Uhrig;Marius Cordts;Marius Cordts;Uwe Franke;Thomas Brox

  • The Cityscapes Dataset

    Marius Cordts;Mohamed Omran;Sebastian Ramos;Timo Scharwächter

  • RegNet: Multimodal sensor registration using deep neural networks

    Nick Schneider;Florian Piewak;Christoph Stiller;Uwe Franke

  • Efficient representation of traffic scenes by means of dynamic stixels

    David Pfeiffer;Uwe Franke

  • Where will the oncoming vehicle be the next second

    A. Barth;U. Franke

  • B-Spline Modeling of Road Surfaces With an Application to Free-Space Estimation

    A. Wedel;H. Badino;C. Rabe;H. Loose

  • DEVICE FOR OBTAINING DATA SHOWING TRANSITION OF LANE

    Franke Uwe Dr Ing;Zomotor Zoltan

Frequent Co-Authors

Thomas Brox
Thomas Brox University of Freiburg
Stefan Roth
Stefan Roth Technical University of Darmstadt
Marc Pollefeys
Marc Pollefeys ETH Zurich
Daniel Cremers
Daniel Cremers Technical University of Munich
Christoph Stiller
Christoph Stiller Karlsruhe Institute of Technology
Dariu M. Gavrila
Dariu M. Gavrila Delft University of Technology
Joachim Denzler
Joachim Denzler Friedrich Schiller University Jena
Rodrigo Benenson
Rodrigo Benenson Google (United States)
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Reinhard Klette
Reinhard Klette Auckland University of Technology

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