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Electronics and Electrical Engineering
Germany
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
85
Citations
64304
World Ranking
371
National Ranking
10

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Germany Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Germany Leader Award
  • 2023 - Research.com Electronics and Electrical Engineering in Germany Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Germany Leader Award
  • 2018 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Informatics
  • 2011 - IEEE Fellow For contributions to video coding and its standardization

Overview

Thomas Wiegand is affiliated with the Technical University of Berlin in Germany. Their research primarily focuses on Computer Science, with specific contributions across various subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Health Informatics, and Molecular Biology.

Their scholarly output spans numerous topics, notably:

  • Video Coding and Compression Technologies
  • Artificial Intelligence in Healthcare and Education
  • Advanced Data Compression Techniques
  • Explainable Artificial Intelligence (XAI)
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Machine Learning and Data Classification

Key recent publications authored include:

  • "Artificial intelligence in dental research: Checklist for authors, reviewers, readers", 2021, Journal of Dentistry
  • "Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative", 2021, Journal of Advanced Nursing
  • "From attribution maps to human-understandable explanations through Concept Relevance Propagation", 2023, Nature Machine Intelligence
  • "Intra Prediction and Mode Coding in VVC", 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • "Quantization and Entropy Coding in the Versatile Video Coding (VVC) Standard", 2021, IEEE Transactions on Circuits and Systems for Video Technology

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • IEEE Transactions on Image Processing
  • IEEE Open Journal of Circuits and Systems

Their collaborations often involve the following co-authors:

  • Wojciech Samek
  • Sebastian Lapuschkin
  • Heiko Schwarz
  • Detlev Marpe
  • Jonathan Pfaff

The scientist's contributions have been recognized by awards such as induction into the German National Academy of Sciences Leopoldina in 2018 with a citation in Informatics and being named an IEEE Fellow in 2011 for contributions to video coding and its standardization.

Best Publications

  • Overview of the H.264/AVC video coding standard

    T. Wiegand;G.J. Sullivan;G. Bjontegaard;A. Luthra

  • Overview of the High Efficiency Video Coding (HEVC) Standard

    G. J. Sullivan;J. Ohm;Woo-Jin Han;T. Wiegand

  • Overview of the Scalable Video Coding Extension of the H.264/AVC Standard

    H. Schwarz;D. Marpe;T. Wiegand

  • Rate-constrained coder control and comparison of video coding standards

    T. Wiegand;H. Schwarz;A. Joch;F. Kossentini

  • Rate-distortion optimization for video compression

    G.J. Sullivan;T. Wiegand

  • Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standard

    D. Marpe;H. Schwarz;T. Wiegand

  • Comparison of the Coding Efficiency of Video Coding Standards—Including High Efficiency Video Coding (HEVC)

    J. Ohm;G. J. Sullivan;H. Schwarz;Thiow Keng Tan

  • Explainable artificial intelligence: Understanding, visualizing and interpreting deep learning models

    Wojciech Samek;Thomas Wiegand;Klaus-Robert Müller

  • Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

    Sebastian Bosse;Dominique Maniry;Klaus-Robert Muller;Thomas Wiegand

  • Video Compression - From Concepts to the H.264/AVC Standard

    G.J. Sullivan;T. Wiegand

  • H.264/AVC in wireless environments

    T. Stockhammer;M.M. Hannuksela;T. Wiegand

  • Efficient Prediction Structures for Multiview Video Coding

    P. Merkle;A. Smolic;K. Muller;T. Wiegand

  • Overview of the Stereo and Multiview Video Coding Extensions of the H.264/MPEG-4 AVC Standard

    A Vetro;T Wiegand;G J Sullivan

  • The H.264/MPEG4 advanced video coding standard and its applications

    D. Marpe;T. Wiegand;G.J. Sullivan

  • Multi-View Video Plus Depth Representation and Coding

    P. Merkle;A. Smolic;K. Muller;T. Wiegand

  • Long-term memory motion-compensated prediction

    T. Wiegand;Xiaozheng Zhang;B. Girod

  • Rate-distortion optimized mode selection for very low bit rate video coding and the emerging H.263 standard

    T. Wiegand;M. Lightstone;D. Mukherjee;T.G. Campbell

  • 3-D Video Representation Using Depth Maps

    K Müller;P Merkle;T Wiegand

  • Analysis of Hierarchical B Pictures and MCTF

    Heiko Schwarz;Detlev Marpe;Thomas Wiegand

  • Lagrange multiplier selection in hybrid video coder control

    T. Wiegand;B. Girod

Frequent Co-Authors

Bernd Girod
Bernd Girod Stanford University
David Gomez-Barquero
David Gomez-Barquero Universitat Politècnica de València
Jill Macdonald Boyce
Jill Macdonald Boyce Intel (United States)
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Sanjit K. Mitra
Sanjit K. Mitra University of California, Santa Barbara

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