2026 Daniel Cremers: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	116	173	168	9	9	647	66249

Daniel Cremers publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Daniel Cremers sits on this spectrum.

32 publications 991+

This scientist: 647 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Daniel Cremers D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Daniel Cremers sits on this spectrum.

30 D-Index 131+

This scientist: 116 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2026 - Research.com Computer Science in Germany Leader Award
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

Daniel Cremers is affiliated with the Technical University of Munich in Germany. Their research primarily spans the fields of Computer Science and Engineering, with a particular focus on various subfields and topics within these areas.

Their main subfields of study include:

Computer Vision and Pattern Recognition
Artificial Intelligence
Aerospace Engineering
Computational Mechanics
Geology

Main topics of their work cover:

Advanced Vision and Imaging
Robotics and Sensor-Based Localization
3D Shape Modeling and Analysis
3D Surveying and Cultural Heritage
Computer Graphics and Visualization Techniques
Advanced Neural Network Applications
Advanced Image and Video Retrieval Techniques

Daniel Cremers has contributed to numerous publications, with recent papers highlighting advancements in multi-object tracking, visual-inertial odometry, semantic change segmentation, and neural radiance fields. Key recent papers include:

"MOT20: A benchmark for multi object tracking in crowded scenes" (2020), published in arXiv (Cornell University)
"DM-VIO: Delayed Marginalization Visual-Inertial Odometry" (2022), published in IEEE Robotics and Automation Letters
"DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation" (2022), published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"E-NeRF: Neural Radiance Fields From a Moving Event Camera" (2023), published in IEEE Robotics and Automation Letters
"Trajectory prediction for intelligent vehicles using spatial-attention mechanism" (2020), published in IET Intelligent Transport Systems

The scientist has frequently published in venues such as:

arXiv (Cornell University)
IEEE Robotics and Automation Letters
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
International Journal of Computer Vision
Lecture notes in computer science

Collaborations with other researchers are a notable part of their work. Frequent co-authors include:

Florian Bernard (20 publications)
Laura Leal-Taixé (17 publications)
Vladimir Golkov (16 publications)
Marvin Eisenberger (15 publications)
Lukas Koestler (15 publications)

Best Publications

LSD-SLAM: Large-Scale Direct Monocular SLAM

Jakob Engel;Thomas Schöps;Daniel Cremers

4467
Citations
FlowNet: Learning Optical Flow with Convolutional Networks

Alexey Dosovitskiy;Philipp Fischery;Eddy Ilg;Philip Hausser

4275
Citations
A benchmark for the evaluation of RGB-D SLAM systems

Jrgen Sturm;Nikolas Engelhard;Felix Endres;Wolfram Burgard

4206
Citations
Direct Sparse Odometry

Jakob Engel;Vladlen Koltun;Daniel Cremers

3073
Citations
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Nikolaus Mayer;Eddy Ilg;Philip Hausser;Philipp Fischer

2866
Citations
A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape

Daniel Cremers;Mikael Rousson;Rachid Deriche

1382
Citations
Dense visual SLAM for RGB-D cameras

Christian Kerl;Jurgen Sturm;Daniel Cremers

1100
Citations
FlowNet: Learning Optical Flow with Convolutional Networks

Philipp Fischer;Alexey Dosovitskiy;Eddy Ilg;Philip Häusser

1056
Citations
3-D Mapping With an RGB-D Camera

Felix Endres;Jurgen Hess;Jurgen Sturm;Daniel Cremers

1036
Citations
An evaluation of the RGB-D SLAM system

Felix Endres;Jurgen Hess;Nikolas Engelhard;Jurgen Sturm

996
Citations
One-Shot Video Object Segmentation

S. Caelles;K. K. Maninis;J. Pont-Tuset;L. Leal-Taixe

991
Citations
The wave kernel signature: A quantum mechanical approach to shape analysis

Mathieu Aubry;Ulrich Schlickewei;Daniel Cremers

868
Citations
FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture

Caner Hazirbas;Lingni Ma;Csaba Domokos;Daniel Cremers

797
Citations
Robust odometry estimation for RGB-D cameras

Christian Kerl;Jurgen Sturm;Daniel Cremers

744
Citations
Semi-dense Visual Odometry for a Monocular Camera

Jakob Engel;Jürgen Sturm;Daniel Cremers

731
Citations
Large-scale direct SLAM with stereo cameras

Jakob Engel;Jorg Stuckler;Daniel Cremers

701
Citations
An Improved Algorithm for TV-L1 Optical Flow

Andreas Wedel;Thomas Pock;Christopher Zach;Horst Bischof

612
Citations
Image-Based Localization Using LSTMs for Structured Feature Correlation

F. Walch;C. Hazirbas;L. Leal-Taixe;T. Sattler

574
Citations
An introduction to Total Variation for Image Analysis

Antonin Chambolle;Vicent Caselles;Matteo Novaga;Daniel Cremers

572
Citations
MOT20: A benchmark for multi object tracking in crowded scenes.

Patrick Dendorfer;Hamid Rezatofighi;Anton Milan;Javen Shi

541
Citations
Anisotropic Huber-L1 Optical Flow

Manuel Werlberger;Werner Trobin;Thomas Pock;Andreas Wedel

539
Citations

Frequent Co-Authors

Thomas Brox University of Freiburg

Jürgen Sturm Google (United States)

Emanuele Rodolà Sapienza University of Rome

Bodo Rosenhahn University of Hannover

Laura Leal-Taixé Technical University of Munich

Thomas Pock Graz University of Technology

Jörg Stückler Max Planck Institute for Intelligent Systems

Christoph Schnörr Heidelberg University

Michael M. Bronstein University of Oxford

Stefano Soatto University of California, Los Angeles

External Links

Wikipedia of Daniel Cremers Personal website of Daniel Cremers Google Scholar page

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