World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5859
World Ranking
8951
National Ranking
549

Overview

Tobias Ritschel is affiliated with University College London in the United Kingdom. Their research spans multiple areas within engineering and computer science, with a significant focus on computer vision and pattern recognition.

Their publication record includes notable recent papers such as:

  • "X-Fields" published in 2020 in ACM Transactions on Graphics
  • "Beyond blur" published in 2021 in ACM Transactions on Graphics
  • "Flexible operation, optimisation and stabilising control of a quench cooled ammonia reactor for power-to-ammonia" published in 2023 in Computers & Chemical Engineering
  • "Neural Precomputed Radiance Transfer" published in 2022 in Computer Graphics Forum
  • "How Much Testing and Social Distancing is Required to Control COVID-19? Some Insight Based on an Age-Differentiated Compartmental Model" published in 2022 in SIAM Journal on Control and Optimization

Tobias Ritschel collaborates frequently with several co-authors, including:

  • John Bagterp Jørgensen
  • Sara Grundel
  • Philipp Sauerteig
  • Asbjørn Thode Reenberg
  • Willem Esterhuizen

Their work is published across a range of venues, with multiple publications in:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • Computer Graphics Forum
  • ACM Transactions on Graphics
  • Measurement

Their research encompasses broad fields of engineering and computer science, with particular attention to these subfields:

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Materials Chemistry
  • Endocrinology, Diabetes and Metabolism

Main topics addressed in their research include:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Diabetes Management and Research
  • Pancreatic function and diabetes
  • Advanced Control Systems Optimization
  • Smart Grid Energy Management
  • Advanced X-ray Imaging Techniques

In addition to journal publications, Tobias Ritschel has contributed to book literature, including a publication with Springer Nature titled Hierarchical Power Systems: Optimal Operation Using Grid Flexibilities in 2023.

Best Publications

  • Monte Carlo convolution for learning on non-uniformly sampled point clouds

    Pedro Hermosilla;Tobias Ritschel;Pere-Pau Vázquez;Àlvar Vinacua

  • Imperfect shadow maps for efficient computation of indirect illumination

    T. Ritschel;T. Grosch;M. H. Kim;H.-P. Seidel

  • Approximating dynamic global illumination in image space

    Tobias Ritschel;Thorsten Grosch;Hans-Peter Seidel

  • The State of the Art in Interactive Global Illumination

    Tobias Ritschel;Carsten Dachsbacher;Thorsten Grosch;Jan Kautz

  • Escaping Plato’s Cave: 3D Shape From Adversarial Rendering

    Philipp Henzler;Niloy Mitra;Tobias Ritschel

  • Interactive by-example design of artistic packing layouts

    Bernhard Reinert;Tobias Ritschel;Hans-Peter Seidel

  • On-line learning of parametric mixture models for light transport simulation

    Jiří Vorba;Ondřej Karlík;Martin Šik;Tobias Ritschel

  • Scalable inside-out image-based rendering

    Peter Hedman;Tobias Ritschel;George Drettakis;Gabriel Brostow

  • A perceptual model for disparity

    Piotr Didyk;Tobias Ritschel;Elmar Eisemann;Karol Myszkowski

  • PhaseGAN: a deep-learning phase-retrieval approach for unpaired datasets.

    Yuhe Zhang;Mike Andreas Noack;Patrik Vagovic;Kamel Fezzaa

  • Micro-rendering for scalable, parallel final gathering

    T. Ritschel;T. Engelhardt;T. Grosch;H.-P. Seidel

  • Single‐image Tomography: 3D Volumes from 2D Cranial X‐Rays

    Philipp Henzler;Volker Rasche;Timo Ropinski;Tobias Ritschel

  • Deep Shading: Convolutional Neural Networks for Screen Space Shading

    O. Nalbach;E. Arabadzhiyska;E. Arabadzhiyska;D. Mehta;H.-P. Seidel

  • Computer-Suggested Facial Makeup

    Kristina Scherbaum;Tobias Ritschel;Matthias B. Hullin;Thorsten Thormählen

  • Deep Reflectance Maps

    Konstantinos Rematas;Tobias Ritschel;Mario Fritz;Efstratios Gavves

  • Real-time Indirect Illumination with Clustered Visibility.

    Zhao Dong;Thorsten Grosch;Tobias Ritschel;Jan Kautz

  • Exploring Shape Variations by 3D-Model Decomposition and Part-based Recombination

    Arjun Jain;Thorsten Thormählen;Tobias Ritschel;Hans-Peter Seidel

  • X-Fields: implicit neural view-, light- and time-image interpolation

    Mojtaba Bemana;Karol Myszkowski;Hans-Peter Seidel;Tobias Ritschel

  • Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning

    Pedro Hermosilla Casajus;Tobias Ritschel;Timo Ropinski

  • Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning

    Stamatios Georgoulis;Konstantinos Rematas;Tobias Ritschel;Efstratios Gavves

  • 3D unsharp masking for scene coherent enhancement

    Tobias Ritschel;Kaleigh Smith;Matthias Ihrke;Thorsten Grosch

  • Learning a Neural 3D Texture Space From 2D Exemplars

    Philipp Henzler;Niloy J. Mitra;Tobias Ritschel

Frequent Co-Authors

Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Karol Myszkowski
Karol Myszkowski Max Planck Institute for Informatics
Elmar Eisemann
Elmar Eisemann Delft University of Technology
Niloy J. Mitra
Niloy J. Mitra University College London
Mario Fritz
Mario Fritz Helmholtz Center for Information Security
Jan Kautz
Jan Kautz Nvidia (United States)
Tim Weyrich
Tim Weyrich University College London
Carsten Dachsbacher
Carsten Dachsbacher Karlsruhe Institute of Technology
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

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