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

D-Index & Metrics

Computer Science

D-Index
76
Citations
21560
World Ranking
1350
National Ranking
53

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

Rainer Stiefelhagen is affiliated with the Karlsruhe Institute of Technology in Germany. Their research primarily spans the field of Computer Science, with a significant focus on several specialized subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, and Human-Computer Interaction.

The scientist's work covers a range of main topics within these areas, notably:

  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Tactile and Sensory Interactions
  • Video Surveillance and Tracking Methods
  • Robotics and Sensor-Based Localization

Among Rainer Stiefelhagen's recent research publications are the following:

  • CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation With Transformers, 2023, IEEE Transactions on Intelligent Transportation Systems
  • Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Measuring and evaluating the compactness of superpixels, 2022, Fraunhofer-Publica (Fraunhofer-Gesellschaft)
  • Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance, 2022, IEEE Transactions on Intelligent Transportation Systems
  • Omnisupervised Omnidirectional Semantic Segmentation, 2020, IEEE Transactions on Intelligent Transportation Systems

Rainer Stiefelhagen has published extensively in several venues, with notable frequent publication outlets including:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • at - Automatisierungstechnik
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

The scientist has collaborated frequently with a number of coauthors over their career. Key frequent collaborators are:

  • Kailun Yang
  • Kunyu Peng
  • Alina Roitberg
  • Constantin Seibold
  • Jens Kleesiek

Best Publications

  • Evaluating multiple object tracking performance: the CLEAR MOT metrics

    Keni Bernardin;Rainer Stiefelhagen

  • MovieQA: Understanding Stories in Movies through Question-Answering

    Makarand Tapaswi;Yukun Zhu;Rainer Stiefelhagen;Antonio Torralba

  • CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation With Transformers

    Unknown

  • A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking

    M. Saquib Sarfraz;Arne Schumann;Andreas Eberle;Rainer Stiefelhagen

  • Sensor fusion using Dempster-Shafer theory [for context-aware HCI]

    Huadong Wu;M. Siegel;R. Stiefelhagen;Jie Yang

  • Visual recognition of pointing gestures for human-robot interaction

    Kai Nickel;Rainer Stiefelhagen

  • Natural human-robot interaction using speech, head pose and gestures

    R. Stiefelhagen;C. Fugen;R. Gieselmann;H. Holzapfel

  • Sensor Fusion Using Dempster-Shafer Theory

    Huadong Wu;Mel Siegel;Rainer Stiefelhagen;Jie Yang

  • Pointing gesture recognition based on 3D-tracking of face, hands and head orientation

    Kai Nickel;Rainer Stiefelhagen

  • Machine Learning for Multimodal Interaction

    Andrei Popescu-Belis;Rainer Stiefelhagen

  • CNN-based sensor fusion techniques for multimodal human activity recognition

    Sebastian Münzner;Philip Schmidt;Attila Reiss;Michael Hanselmann

  • Efficient Parameter-Free Clustering Using First Neighbor Relations

    Saquib Sarfraz;Vivek Sharma;Rainer Stiefelhagen

  • The CLEAR 2006 evaluation

    Rainer Stiefelhagen;Keni Bernardin;Rachel Bowers;John Garofolo

  • Modeling focus of attention for meeting indexing based on multiple cues

    R. Stiefelhagen;Jie Yang;A. Waibel

  • Head orientation and gaze direction in meetings

    Rainer Stiefelhagen;Jie Zhu

  • Tracking focus of attention in meetings

    Rainer Stiefelhagen

  • Multimodal Technologies for Perception of Humans

    Rainer Stiefelhagen;Rachel Bowers;Jonathan Fiscus

  • Person Re-identification by Deep Learning Attribute-Complementary Information

    Arne Schumann;Rainer Stiefelhagen

  • Computers in the Human Interaction Loop

    Alexander Waibel;Rainer Stiefelhagen

  • Improving foreground segmentations with probabilistic superpixel Markov random fields

    Alexander Schick;Martin Bauml;Rainer Stiefelhagen

  • A Model-Based Gaze Tracking System

    Rainer Stiefelhagen;Rainer Stiefelhagen;Jie Yang;Jie Yang;Alex Waibel;Alex Waibel

  • Head pose estimation using stereo vision for human-robot interaction

    E. Seemann;K. Nickel;R. Stiefelhagen

Frequent Co-Authors

Hazim Kemal Ekenel
Hazim Kemal Ekenel Istanbul Technical University
Alex Waibel
Alex Waibel Carnegie Mellon University
Jie Yang
Jie Yang Carnegie Mellon University
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
John S. Garofolo
John S. Garofolo National Institute of Standards and Technology
Tanja Schultz
Tanja Schultz University of Bremen
Fabio Pianesi
Fabio Pianesi Fondazione Bruno Kessler
Uwe D. Hanebeck
Uwe D. Hanebeck Karlsruhe Institute of Technology
Gerasimos Potamianos
Gerasimos Potamianos University Of Thessaly
Raquel Urtasun
Raquel Urtasun University of Toronto

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