Stefan Hinterstoißer

3.6k total citations · 2 hit papers
14 papers, 1.3k citations indexed

About

Stefan Hinterstoißer is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Stefan Hinterstoißer has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Aerospace Engineering and 2 papers in Geology. Recurrent topics in Stefan Hinterstoißer's work include Advanced Image and Video Retrieval Techniques (13 papers), Robotics and Sensor-Based Localization (12 papers) and Advanced Neural Network Applications (9 papers). Stefan Hinterstoißer is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Robotics and Sensor-Based Localization (12 papers) and Advanced Neural Network Applications (9 papers). Stefan Hinterstoißer collaborates with scholars based in Germany, Switzerland and France. Stefan Hinterstoißer's co-authors include Nassir Navab, Vincent Lepetit, Slobodan Ilić, Cédric Cagniart, Pascal Fua, Stefan M. Holzer, Kurt Konolige, Peter Sturm, Selim Benhimane and Martin Bokeloh and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Stefan Hinterstoißer

13 papers receiving 1.2k citations

Hit Papers

Multimodal templates for real-time detection of texture-l... 2011 2026 2016 2021 2011 2011 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes
    2011 399 citations Stefan Hinterstoißer, Stefan M. Holzer et al. profile →
  2. Gradient Response Maps for Real-Time Detection of Textureless Objects
    2011 395 citations Stefan Hinterstoißer, Cédric Cagniart et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefan Hinterstoißer Germany 13 1.0k 790 452 168 104 14 1.3k
Cédric Cagniart Germany 8 773 0.8× 541 0.7× 431 1.0× 111 0.7× 110 1.1× 12 1.0k
Frank Michel Germany 9 760 0.8× 653 0.8× 318 0.7× 145 0.9× 66 0.6× 15 965
Eric Brachmann Germany 9 776 0.8× 699 0.9× 342 0.8× 152 0.9× 63 0.6× 15 973
Andrew I. Comport France 15 906 0.9× 742 0.9× 128 0.3× 186 1.1× 92 0.9× 43 1.1k
David Droeschel Germany 20 587 0.6× 629 0.8× 208 0.5× 192 1.1× 127 1.2× 33 1.0k
Nakju Lett Doh South Korea 17 552 0.5× 535 0.7× 185 0.4× 143 0.9× 98 0.9× 74 903
Max Schwarz Germany 15 457 0.5× 294 0.4× 351 0.8× 71 0.4× 194 1.9× 33 950
Bugra Tekin Switzerland 9 909 0.9× 379 0.5× 493 1.1× 75 0.4× 167 1.6× 14 1.1k
Bertram Drost Germany 7 527 0.5× 584 0.7× 328 0.7× 277 1.6× 90 0.9× 9 870
Fabian Manhardt Germany 13 496 0.5× 292 0.4× 411 0.9× 57 0.3× 90 0.9× 24 753

Countries citing papers authored by Stefan Hinterstoißer

Since Specialization
Citations

This map shows the geographic impact of Stefan Hinterstoißer'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 Stefan Hinterstoißer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Hinterstoißer more than expected).

Fields of papers citing papers by Stefan Hinterstoißer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Hinterstoißer. 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 Stefan Hinterstoißer. The network helps show where Stefan Hinterstoißer may publish in the future.

Co-authorship network of co-authors of Stefan Hinterstoißer

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Hinterstoißer. A scholar is included among the top collaborators of Stefan Hinterstoißer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Hinterstoißer. Stefan Hinterstoißer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Hinterstoißer, Stefan, et al.. (2019). An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Detection. 2787–2796. 57 indexed citations
2.
Seo, Byung-Kuk, Hanhoon Park, Jong‐Il Park, Stefan Hinterstoißer, & Slobodan Ilić. (2013). Optimal Local Searching for Fast and Robust Textureless 3D Object Tracking in Highly Cluttered Backgrounds. IEEE Transactions on Visualization and Computer Graphics. 20(1). 99–110. 45 indexed citations
3.
Hinterstoißer, Stefan, Cédric Cagniart, Slobodan Ilić, et al.. (2011). Gradient Response Maps for Real-Time Detection of Textureless Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(5). 876–888. 395 indexed citations breakdown →
4.
Hinterstoißer, Stefan, Stefan M. Holzer, Cédric Cagniart, et al.. (2011). Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes. 858–865. 399 indexed citations breakdown →
5.
Hinterstoißer, Stefan, et al.. (2010). Rapid selection of reliable templates for visual tracking. 1355–1362. 36 indexed citations
6.
Hinterstoißer, Stefan, Vincent Lepetit, Selim Benhimane, Pascal Fua, & Nassir Navab. (2010). Learning Real-Time Perspective Patch Rectification. International Journal of Computer Vision. 91(1). 107–130. 15 indexed citations
7.
Hinterstoißer, Stefan, Vincent Lepetit, Slobodan Ilić, Pascal Fua, & Nassir Navab. (2010). Dominant orientation templates for real-time detection of texture-less objects. 2257–2264. 173 indexed citations
8.
Hinterstoißer, Stefan, Oliver Kutter, Nassir Navab, Pascal Fua, & Vincent Lepetit. (2009). Real-time learning of accurate patch rectification. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 2945–2952. 18 indexed citations
9.
Hinterstoißer, Stefan, Oliver Kutter, Nassir Navab, Pascal Fua, & Vincent Lepetit. (2009). Real-time learning of accurate patch rectification. 2009 IEEE Conference on Computer Vision and Pattern Recognition.
10.
Holzer, Stefan M., Stefan Hinterstoißer, Slobodan Ilić, & Nassir Navab. (2009). Distance transform templates for object detection and pose estimation. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1177–1184. 25 indexed citations
11.
Hinterstoißer, Stefan, Selim Benhimane, Nassir Navab, Pascal Fua, & Vincent Lepetit. (2008). Online learning of patch perspective rectification for efficient object detection. 1–8. 29 indexed citations
12.
Hinterstoißer, Stefan, Selim Benhimane, Vincent Lepetit, Pascal Fua, & Nassir Navab. (2008). Simultaneous Recognition and Homography Extraction of Local Patches with a Simple Linear Classifier. 10.1–10.10. 19 indexed citations
13.
Hinterstoißer, Stefan, Selim Benhimane, & Nassir Navab. (2007). N3M: Natural 3D Markers for Real-Time Object Detection and Pose Estimation. 1–7. 31 indexed citations
14.
Benhimane, Selim, et al.. (2007). An Industrial Augmented Reality Solution For Discrepancy Check. 34 indexed citations

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.

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