World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
21447
World Ranking
1591
National Ranking
63

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Juergen Gall is affiliated with the University of Bonn in Germany and has an extensive research background primarily in Computer Science, with a strong focus on Computer Vision and Pattern Recognition. Their contributions encompass key subfields such as Artificial Intelligence, Biomedical Engineering, Plant Science, and Global and Planetary Change.

The scientist's research covers multiple main topics, including:

  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Anomaly Detection Techniques and Applications
  • Advanced Vision and Imaging
  • Generative Adversarial Networks and Image Synthesis
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications

Among recent publications, Juergen Gall has contributed to several papers, detailed with their full titles, year of publication, and venues:

  • "MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform," 2021, IEEE Robotics and Automation Letters
  • "Deep Learning for Non-Invasive Diagnosis of Nutrient Deficiencies in Sugar Beet Using RGB Images," 2020, Sensors
  • "You Only Need Adversarial Supervision for Semantic Image Synthesis," 2020, arXiv (Cornell University)
  • "Pose Refinement Graph Convolutional Network for Skeleton-Based Action Recognition," 2021, IEEE Robotics and Automation Letters

Frequent co-authors working alongside Juergen Gall include:

  • Yazan Abu Farha
  • Olga Zatsarynna
  • Gianpiero Francesca
  • Vadim Sushko
  • Emad Bahrami

The main venues featuring Juergen Gall's work are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • International Journal of Computer Vision

Juergen Gall has also contributed to book publications, with multiple works published by Springer Science+Business Media. Titles include "Computer Vision - ACCV 2022" and "Pattern Recognition," spanning several editions and years.

Best Publications

  • SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

    Jens Behley;Martin Garbade;Andres Milioto;Jan Quenzel

  • Towards Understanding Action Recognition

    Hueihan Jhuang;Juergen Gall;Silvia Zuffi;Cordelia Schmid

  • Hough Forests for Object Detection, Tracking, and Action Recognition

    J. Gall;A. Yao;N. Razavi;L. Van Gool

  • Class-specific Hough forests for object detection

    Juergen Gall;Victor Lempitsky

  • Random Forests for Real Time 3D Face Analysis

    Gabriele Fanelli;Matthias Dantone;Juergen Gall;Andrea Fossati

  • SurfaceNet: An End-to-End 3D Neural Network for Multiview Stereopsis

    Mengqi Ji;Juergen Gall;Haitian Zheng;Yebin Liu

  • Real time head pose estimation with random regression forests

    Gabriele Fanelli;Juergen Gall;Luc Van Gool

  • Motion capture using joint skeleton tracking and surface estimation

    Juergen Gall;Carsten Stoll;Edilson de Aguiar;Christian Theobalt

  • Open Set Domain Adaptation

    Pau Panareda Busto;Juergen Gall

  • Real-time facial feature detection using conditional regression forests

    Matthias Dantone;Juergen Gall;Gabriele Fanelli;Luc Van Gool

  • PoseTrack: A Benchmark for Human Pose Estimation and Tracking

    Mykhaylo Andriluka;Umar Iqbal;Eldar Insafutdinov;Leonid Pishchulin

  • MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation

    Yazan Abu Farha;Jurgen Gall

  • Real time head pose estimation from consumer depth cameras

    Gabriele Fanelli;Thibaut Weise;Juergen Gall;Luc Van Gool

  • Hand Pose Estimation via Latent 2.5D Heatmap Regression

    Umar Iqbal;Umar Iqbal;Pavlo Molchanov;Thomas M. Breuel;Juergen Gall

  • Human Pose Estimation Using Body Parts Dependent Joint Regressors

    Matthias Dantone;Juergen Gall;Christian Leistner;Luc Van Gool

  • Motion capture of hands in action using discriminative salient points

    Luca Ballan;Aparna Taneja;Juergen Gall;Luc Van Gool

  • A Hough transform-based voting framework for action recognition

    Angela Yao;Juergen Gall;Luc Van Gool

  • Optimization and Filtering for Human Motion Capture

    Juergen Gall;Bodo Rosenhahn;Thomas Brox;Hans-Peter Seidel

  • What makes a chair a chair

    Helmut Grabner;Juergen Gall;Luc Van Gool

  • A Survey on Human Motion Analysis from Depth Data

    Mao Ye;Qing Zhang;Liang Wang;Jiejie Zhu

Frequent Co-Authors

Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Bodo Rosenhahn
Bodo Rosenhahn University of Hannover
Andreas Weber
Andreas Weber University of Bonn
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Ales Leonardis
Ales Leonardis University of Birmingham
Sven Behnke
Sven Behnke University of Bonn
Cyrill Stachniss
Cyrill Stachniss University of Bonn
Thomas Brox
Thomas Brox University of Freiburg
Bastian Leibe
Bastian Leibe RWTH Aachen University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As the demand for tech-savvy professionals grows, students are exploring related online degrees to expand their career prospects in computer science and beyond. Online learning offers flexibility and diverse specializations, making it easier to balance studies with other commitments.

Those looking for rapid entry into the job market might consider a fast track computer science degree, which allows students to graduate sooner and begin their careers earlier.

Computer science skills are highly transferable to interdisciplinary fields. If you’re interested in sustainability and technology, an environmental engineering degree online could prepare you to tackle critical environmental challenges using computational methods.

Similarly, pursuing an online degree for mechanical engineering can help you gain expertise in automation, robotics, and advanced manufacturing—all highly connected to computer science innovations.

Finally, a bachelor of science in physics online provides strong analytical and problem-solving skills, paving the way for tech roles in research, development, and data science.

Best Scientists Citing Juergen Gall

Trending Scientists