World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
13324
World Ranking
2499
National Ranking
108

Overview

Andreas Zell is affiliated with the University of Tübingen in Germany and has contributed extensively to the fields of computer science and engineering. Their research primarily spans computer vision and pattern recognition, aerospace engineering, artificial intelligence, ocean engineering, and biomedical engineering.

The scientist's work is concentrated on several main topics including:

  • Advanced Neural Network Applications
  • Robotics and Sensor-Based Localization
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Infrared Target Detection Methodologies

Frequently collaborating with other researchers, Andreas Zell has coauthored papers with Benjamin Kiefer, Martin Messmer, Leon Amadeus Varga, Thomas Gossard, and Nuri Benbarka.

Their publication record includes papers presented at a range of venues, with a significant number of contributions to arXiv (Cornell University). Other frequent publication venues include:

  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2022 26th International Conference on Pattern Recognition (ICPR)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Selected recent papers by Andreas Zell include:

  • "SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water," 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching," 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Score refinement for confidence-based 3D multi-object tracking," 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles," 2022, 2022 26th International Conference on Pattern Recognition (ICPR)
  • "Optimal stroke learning with policy gradient approach for robotic table tennis," 2022, Applied Intelligence

This body of work reflects a focus on combining neural network techniques with robotics, imaging, and object detection, often within the context of aerial and maritime environments. The multidisciplinary nature of Andreas Zell's research demonstrates integration across computer vision, engineering, and artificial intelligence domains.

Best Publications

  • Simulation neuronaler Netze

    Andreas Zell

  • SNNS (Stuttgart Neural Network Simulator)

    Andreas Zell;Niels Mache;Ralf Hübner;Günter Mamier

  • Automatic Take Off, Tracking and Landing of a Miniature UAV on a Moving Carrier Vehicle

    Karl Engelbert Wenzel;Andreas Masselli;Andreas Zell

  • An Onboard Monocular Vision System for Autonomous Takeoff, Hovering and Landing of a Micro Aerial Vehicle

    Shaowu Yang;Sebastian A. Scherer;Andreas Zell

  • Optimal assignment kernels for attributed molecular graphs

    Holger Fröhlich;Jörg K. Wegner;Florian Sieker;Andreas Zell

  • Vibration-based Terrain Classification Using Support Vector Machines

    C. Weiss;H. Frohlich;A. Zell

  • Locating Biologically Active Compounds in Medium-Sized Heterogeneous Datasets by Topological Autocorrelation Vectors: Dopamine and Benzodiazepine Agonists

    Henri Bauknecht;Andreas Zell;Harald Bayer;Paul Levi

  • Large-scale generation of computational models from biochemical pathway maps

    Finja Büchel;Nicolas Rodriguez;Neil Swainston;Clemens Wrzodek

  • Path2Models: large-scale generation of computational models from biochemical pathway maps

    Finja Buchel;Finja Buchel;Nicolas Rodriguez;Nicolas Rodriguez;Neil Swainston;Clemens Wrzodek

  • SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water.

    Leon Amadeus Varga;Benjamin Kiefer;Martin Messmer;Andreas Zell

  • Evolutionary Algorithms and the Cardinality Constrained Portfolio Optimization Problem

    Felix Streichert;Holger Ulmer;Andreas Zell

  • Efficient parameter selection for support vector machines in classification and regression via model-based global optimization

    H. Frohlich;A. Zell

  • Evolution strategies assisted by Gaussian processes with improved preselection criterion

    H. Ulmer;F. Streichert;A. Zell

  • Real-time object tracking for soccer-robots without color information

    André Treptow;Andreas Zell

  • Genomics of ADME gene expression: mapping expression quantitative trait loci relevant for absorption, distribution, metabolism and excretion of drugs in human liver

    A Schröder;K Klein;K Klein;S Winter;S Winter;M Schwab;M Schwab

  • Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT

    Hashem Tamimi;Henrik Andreasson;André Treptow;Tom Duckett

  • Prediction of aqueous solubility and partition coefficient optimized by a genetic algorithm based descriptor selection method.

    Jörg K. Wegner;Andreas Zell

  • Optimal assignment methods for ligand-based virtual screening

    Andreas Jahn;Georg Hinselmann;Nikolas Fechner;Andreas Zell

  • JSBML: a flexible Java library for working with SBML

    Andreas Dräger;Nicolas Rodriguez;Marine Dumousseau;Alexander Dörr

  • Automated Label-free Quantification of Metabolites from Liquid Chromatography–Mass Spectrometry Data

    Erhan Kenar;Holger Franken;Sara Forcisi;Kilian Wörmann

  • Framework for Autonomous On-board Navigation with the AR.Drone

    Jacobo Jiménez Lugo;Andreas Zell

  • Evaluating a hybrid encoding and three crossover operators on the constrained portfolio selection problem

    F. Streichert;H. Ulmer;A. Zell

  • A clustering based niching EA for multimodal search spaces

    Felix Streichert;Gunnar Stein;Holger Ulmer;Andreas Zell

Frequent Co-Authors

Sebastian Scherer
Sebastian Scherer Carnegie Mellon University
Achim J. Lilienthal
Achim J. Lilienthal Technical University of Munich
Oliver Kohlbacher
Oliver Kohlbacher University of Tübingen
Nicolas Le Novère
Nicolas Le Novère Babraham Institute
Klaus Harter
Klaus Harter University of Tübingen
Michael Schwarz
Michael Schwarz Helmholtz Center for Information Security
Michael Hucka
Michael Hucka California Institute of Technology
Peter Bayer
Peter Bayer Martin Luther University Halle-Wittenberg
Johann Gasteiger
Johann Gasteiger University of Erlangen-Nuremberg
Ulrich M. Zanger
Ulrich M. Zanger Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology

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