World's Best Scientists 2026 revealed!

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Computer Science

D-Index
54
Citations
17903
World Ranking
4456
National Ranking
196

Overview

Rainer Lienhart is affiliated with the University of Augsburg in Germany and specializes in computer science, particularly in computer vision and pattern recognition. Their body of work includes 73 publications mainly focused on several subfields within computer science, such as artificial intelligence, radiology, nuclear medicine and imaging, human-computer interaction, and signal processing.

Their research spans a variety of topics, including human pose and action recognition, multimodal machine learning applications, video analysis and summarization, COVID-19 diagnosis using AI, domain adaptation and few-shot learning, as well as radiomics and machine learning in medical imaging. Other areas of interest cover advanced image and video retrieval techniques.

Among the recent papers authored under their guidance or collaboration are the following:

  • Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic Segmentation, 2022, arXiv (Cornell University)
  • The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data, 2024, Medical Image Analysis
  • Recognition of Freely Selected Keypoints on Human Limbs, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Semantically Consistent Image-to-Image Translation for Unsupervised Domain Adaptation, 2022, Proceedings of the 14th International Conference on Agents and Artificial Intelligence

Frequent coauthors contributing to their research include Julian Lorenz, Robin Schön, Daniel Kienzle, and Katja Ludwig. Lienhart has worked closely with these collaborators over multiple publications, reflecting sustained professional partnerships.

The primary venues for their research dissemination include arXiv (Cornell University) with 31 publications, followed by specialized conferences and journals such as the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Medical Image Analysis, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), and the Proceedings of the 30th ACM International Conference on Multimedia.

Best Publications

  • An extended set of Haar-like features for rapid object detection

    R. Lienhart;J. Maydt

  • Empirical analysis of detection cascades of boosted classifiers for rapid object detection

    Rainer Lienhart;Alexander Kuranov;Vadim Pisarevsky

  • Comparison of automatic shot boundary detection algorithms

    Rainer W. Lienhart

  • Localizing and segmenting text in images and videos

    R. Lienhart;A. Wernicke

  • Video abstracting

    Rainer Lienhart;Silvia Pfeiffer;Wolfgang Effelsberg

  • Proceedings of the 15th ACM international conference on Multimedia

    Rainer Lienhart;Anand R. Prasad;Alan Hanjalic;Sunghyun Choi

  • Reliable Transition Detection In Videos : A Survey and Practitioner's Guide

    Rainer Lienhart

  • On the detection and recognition of television commercials

    R. Lienhart;C. Kuhmunch;W. Effelsberg

  • Scalable logo recognition in real-world images

    Stefan Romberg;Lluis Garcia Pueyo;Rainer Lienhart;Roelof van Zwol

  • Video detection and insertion

    Richard König;Charles A. Eldering;Rainer Wolfgang Lienhart;Christine Lienhart

  • Abstracting Digital Movies Automatically

    Silvia Pfeiffer;Rainer Lienhart;Stephan Fischer;Wolfgang Effelsberg

  • Automatic text recognition in digital videos

    Rainer Lienhart;Frank Stuber

  • Video Entity Recognition in Compressed Digital Video Streams

    Rainer W. Lienhart;Charles A. Eldering

  • A detector tree of boosted classifiers for real-time object detection and tracking

    R. Lienhart;Luhong Liang;A. Kuranov

  • Automatic text segmentation and text recognition for video indexing

    Rainer Lienhart;Wolfgang Effelsberg

  • On the optimal placement of multiple visual sensors

    E. Hörster;R. Lienhart

  • Detecting known video entities utilizing fingerprints

    Rainer W. Lienhart;Christine Lienhart

  • Automatic recognition of film genres

    Stephan Fischer;Rainer Lienhart;Wolfgang Effelsberg

  • Position calibration of microphones and loudspeakers in distributed computing platforms

    V.C. Raykar;I.V. Kozintsev;R. Lienhart

  • Automatic text recognition for video indexing

    Rainer Lienhart

Frequent Co-Authors

Wolfgang Effelsberg
Wolfgang Effelsberg University of Mannheim
Minerva M. Yeung
Minerva M. Yeung Institute of Electrical and Electronics Engineers
Charles A. Eldering
Charles A. Eldering General Instrument
Yen-Kuang Chen
Yen-Kuang Chen Alibaba Group (China)
Malcolm Slaney
Malcolm Slaney Stanford University
Ramesh Jain
Ramesh Jain University of California, Irvine
Alan Hanjalic
Alan Hanjalic Delft University of Technology
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg
Nicu Sebe
Nicu Sebe University of Trento
Sunghyun Choi
Sunghyun Choi Samsung (South Korea)

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