World's Best Scientists 2026 revealed!
Michael Felsberg

Michael Felsberg

D-Index & Metrics

Computer Science

D-Index
57
Citations
33322
World Ranking
3725
National Ranking
15

Overview

Michael Felsberg is affiliated with Linköping University in Sweden. Their research spans multiple areas within computer science and engineering, with a strong focus on computer vision and artificial intelligence.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these fields, they have contributed extensively to several subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Systems Engineering
  • Computational Mechanics
  • Aerospace Engineering

The research topics heavily featured in their work include:

  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Visual Attention and Saliency Detection
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging

Michael Felsberg has contributed to a variety of recent papers, including:

  • "Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Graph representation learning for road type classification," 2021, Pattern Recognition
  • "Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook," 2023, arXiv (Cornell University)
  • "Recurrent Graph Neural Networks for Video Instance Segmentation," 2022, International Journal of Computer Vision
  • "Learning What to Learn for Video Object Segmentation," 2020, Lecture Notes in Computer Science

Frequent co-authors collaborating with Michael Felsberg include:

  • Johan Edstedt
  • Martin Danelljan
  • Joakim Johnander
  • Andreas Robinson
  • Fahad Shahbaz Khan

Their publications are often featured in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Pattern Recognition
  • International Journal of Computer Vision

Additionally, Michael Felsberg has published books through Springer Science+Business Media, including two editions of "Image Analysis," both released in 2023.

Best Publications

  • ECO: Efficient Convolution Operators for Tracking

    Martin Danelljan;Goutam Bhat;Fahad Shahbaz Khan;Michael Felsberg

  • Accurate scale estimation for robust visual tracking

    Martin Danelljan;Gustav Häger;Fahad Shahbaz Khan;Michael Felsberg

  • Learning Spatially Regularized Correlation Filters for Visual Tracking

    Martin Danelljan;Gustav Hager;Fahad Shahbaz Khan;Michael Felsberg

  • Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

    Martin Danelljan;Andreas Robinson;Fahad Shahbaz Khan;Michael Felsberg

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • Adaptive Color Attributes for Real-Time Visual Tracking

    Martin Danelljan;Fahad Shahbaz Khan;Michael Felsberg;Joost van de Weijer

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • Discriminative Scale Space Tracking

    Martin Danelljan;Gustav Hager;Fahad Shahbaz Khan;Michael Felsberg

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

  • ATOM: Accurate Tracking by Overlap Maximization

    Martin Danelljan;Goutam Bhat;Fahad Shahbaz Khan;Michael Felsberg

  • Convolutional Features for Correlation Filter Based Visual Tracking

    Martin Danelljan;Gustav Hager;Fahad Shahbaz Khan;Michael Felsberg

  • The monogenic signal

    M. Felsberg;G. Sommer

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Unveiling the Power of Deep Tracking

    Goutam Bhat;Joakim Johnander;Martin Danelljan;Fahad Shahbaz Khan

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking

    Martin Danelljan;Gustav Hager;Fahad Shahbaz Khan;Michael Felsberg

  • The Visual Object Tracking VOT2014 challenge results

    Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas

  • Deep Projective 3D Semantic Segmentation

    Felix Järemo Lawin;Martin Danelljan;Patrik Tosteberg;Goutam Bhat

  • Using fourier descriptors and spatial models for traffic sign recognition

    Fredrik Larsson;Michael ` Felsberg

  • The Monogenic Scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space

    M. Felsberg;G. Sommer

Frequent Co-Authors

Fahad Shahbaz Khan
Fahad Shahbaz Khan Mohamed bin Zayed University of Artificial Intelligence
Gerald Sommer
Gerald Sommer Kiel University
Joost van de Weijer
Joost van de Weijer Autonomous University of Barcelona
Norbert Krüger
Norbert Krüger University of Southern Denmark
Matej Kristan
Matej Kristan University of Ljubljana
Richard Bowden
Richard Bowden University of Surrey
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Ales Leonardis
Ales Leonardis University of Birmingham
Jiri Matas
Jiri Matas Czech Technical University in Prague

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