Daniel Cremers
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Robotic Path Planning Algorithms
- Advanced Image Processing Techniques
- Geology top 0.01%
- 3D Surveying and Cultural Heritage
Papers in
-
- Advanced Vision and Imaging 195
- Medical Image Segmentation Techniques 109
- Advanced Image and Video Retrieval Techniques 76
- Advanced Image Processing Techniques 37
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- Robotics and Sensor-Based Localization 131
- Co-authors
- Jakob Engel (12 shared papers)Jürgen Sturm (19 shared papers)Thomas Schöps (2 shared papers)Wolfram Burgard (4 shared papers)Felix Endres (3 shared papers)Thomas Brox (32 shared papers)Vladlen Koltun (1 shared paper)Nikolas Engelhard (2 shared papers)
- Journals
- International Journal of Computer Vision (16 papers)Lecture notes in computer science (122 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (13 papers)Computer Graphics Forum (8 papers)SIAM Journal on Imaging Sciences (7 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel Cremers
468 papers receiving 31.3k citations
Daniel Cremers's Hit Papers
Peers
Comparison fields: 5 of 178
- Computer Vision and Pattern Recognition 25.4k
- Geology 5.3k
- Aerospace Engineering 15.8k
- Computer Graphics and Computer-Aided Design 1.6k
- Media Technology 2.2k
Countries citing papers authored by Daniel Cremers
This map shows the geographic impact of Daniel Cremers's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Cremers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cremers more than expected).
Fields of papers citing papers by Daniel Cremers
This network shows the impact of papers produced by Daniel Cremers. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Cremers. The network helps show where Daniel Cremers may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Cremers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 499 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FlowNet: Learning Optical Flow with Convolutional Networks Hit paper breakdown → | 2015 | 2888 |
| 2 | A benchmark for the evaluation of RGB-D SLAM systems Hit paper breakdown → | 2012 | 2810 |
| 3 | LSD-SLAM: Large-Scale Direct Monocular SLAM Hit paper breakdown → | 2014 | 2643 |
| 4 | Direct Sparse Odometry Hit paper breakdown → | 2017 | 2022 |
| 5 | A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape Hit paper breakdown → | 2006 | 789 |
| 6 | Dense visual SLAM for RGB-D cameras Hit paper breakdown → | 2013 | 661 |
| 7 | 3-D Mapping With an RGB-D Camera Hit paper breakdown → | 2013 | 646 |
| 8 | FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture Hit paper breakdown → | 2017 | 583 |
| 9 | An evaluation of the RGB-D SLAM system Hit paper breakdown → | 2012 | 581 |
| 10 | The wave kernel signature: A quantum mechanical approach to shape analysis Hit paper breakdown → | 2011 | 502 |
| 11 | Robust odometry estimation for RGB-D cameras Hit paper breakdown → | 2013 | 433 |
| 12 | Large-scale direct SLAM with stereo cameras Hit paper breakdown → | 2015 | 405 |
| 13 | Semi-dense Visual Odometry for a Monocular Camera Hit paper breakdown → | 2013 | 395 |
| 14 | Image-Based Localization Using LSTMs for Structured Feature Correlation Hit paper breakdown → | 2017 | 350 |
| 15 | 2009 | 323 | |
| 16 | D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry Hit paper breakdown → | 2020 | 300 |
| 17 | 2009 | 299 | |
| 18 | Camera-based navigation of a low-cost quadrocopter Hit paper breakdown → | 2012 | 284 |
| 19 | 2006 | 272 | |
| 20 | 2011 | 271 |
About Daniel Cremers
Daniel Cremers is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Computer Graphics and Computer-Aided Design and Geology, having authored 499 papers that have together received 32.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (195 papers), Robotics and Sensor-Based Localization (131 papers), Medical Image Segmentation Techniques (109 papers), Advanced Image and Video Retrieval Techniques (76 papers), 3D Shape Modeling and Analysis (75 papers), Computer Graphics and Visualization Techniques (61 papers), 3D Surveying and Cultural Heritage (50 papers) and Advanced Image Processing Techniques (37 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (25.4k citations), Geology (5.3k citations), Aerospace Engineering (15.8k citations), Computer Graphics and Computer-Aided Design (1.6k citations) and Media Technology (2.2k citations). Daniel Cremers has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jakob Engel, Jürgen Sturm, Thomas Schöps, Wolfram Burgard, Felix Endres, Thomas Brox, Vladlen Koltun, Nikolas Engelhard, Caner Hazırbaş and Christian Kerl. Their work appears in journals such as International Journal of Computer Vision, Lecture notes in computer science, IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Graphics Forum and SIAM Journal on Imaging Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.