David Ferstl

1.1k total citations · 1 hit paper
14 papers, 714 citations indexed

About

David Ferstl is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, David Ferstl has authored 14 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 4 papers in Media Technology. Recurrent topics in David Ferstl's work include Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (7 papers) and Optical measurement and interference techniques (6 papers). David Ferstl is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (7 papers) and Optical measurement and interference techniques (6 papers). David Ferstl collaborates with scholars based in Austria, Germany and China. David Ferstl's co-authors include Horst Bischof, Christian Reinbacher, René Ranftl, Matthias Rüther, Luis Montesano, Ana C. Murillo, Íñigo Alonso, Gernot Riegler, Yang Hai and Piotr Skrzypczyński and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

David Ferstl

14 papers receiving 700 citations

Hit Papers

align trajectories

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.

Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation

2013 372 citations David Ferstl, Christian Reinbacher et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Ferstl Austria	7	648	339	116	59	28	14	714
Shangchen Zhou Singapore	15	1.1k 1.7×	257 0.8×	100 0.9×	31 0.5×	22 0.8×	36	1.2k
Samuel Schulter United States	14	756 1.2×	330 1.0×	121 1.0×	52 0.9×	7 0.3×	31	854
Naejin Kong South Korea	6	574 0.9×	149 0.4×	45 0.4×	27 0.5×	11 0.4×	7	707
Renjie Wan Singapore	15	847 1.3×	288 0.8×	73 0.6×	33 0.6×	23 0.8×	39	1.0k
Bart Goossens Belgium	12	330 0.5×	194 0.6×	66 0.6×	32 0.5×	10 0.4×	50	507
Tianfan Xue Hong Kong	14	551 0.9×	151 0.4×	56 0.5×	59 1.0×	13 0.5×	36	640
Hang Dong China	11	841 1.3×	390 1.2×	25 0.2×	74 1.3×	13 0.5×	22	927
Zak Murez United States	7	484 0.7×	61 0.2×	219 1.9×	67 1.1×	21 0.8×	8	600
Boyun Li China	6	781 1.2×	282 0.8×	224 1.9×	15 0.3×	7 0.3×	9	919
Jiangxin Dong China	16	735 1.1×	443 1.3×	37 0.3×	23 0.4×	17 0.6×	26	845

Countries citing papers authored by David Ferstl

Since Specialization

Citations

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

Fields of papers citing papers by David Ferstl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Ferstl

This figure shows the co-authorship network connecting the top 25 collaborators of David Ferstl. A scholar is included among the top collaborators of David Ferstl 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 David Ferstl. David Ferstl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Hu, Yinlin, et al.. (2025). Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. Proceedings of the AAAI Conference on Artificial Intelligence. 39(7). 6860–6868. 1 indexed citations

2.

Hai, Yang, Rui Song, Jiaojiao Li, David Ferstl, & Yinlin Hu. (2023). Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation. 14029–14039. 6 indexed citations

3.

Alonso, Íñigo, et al.. (2021). Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8199–8208. 174 indexed citations

4.

Riegler, Gernot, David Ferstl, Matthias Rüther, & Horst Bischof. (2016). A Deep Primal-Dual Network for Guided Depth Super-Resolution. 7.1–7.14. 63 indexed citations

5.

Walas, Krzysztof, Michał Nowicki, David Ferstl, & Piotr Skrzypczyński. (2016). Depth data fusion for simultaneous localization and mapping — RGB-DD SLAM. 12. 9–14. 3 indexed citations

6.

Ferstl, David, Christian Reinbacher, Gernot Riegler, Matthias Rüther, & Horst Bischof. (2015). Learning Depth Calibration of Time-of-Flight Cameras. 102.1–102.12. 14 indexed citations

7.

Ferstl, David, Matthias Rüther, & Horst Bischof. (2015). Variational Depth Superresolution Using Example-Based Edge Representations. 513–521. 63 indexed citations

8.

Ferstl, David, et al.. (2014). CP-Census: A Novel Model for Dense Variational Scene Flow from RGB-D Data. 18.1–18.11. 8 indexed citations

9.

Ferstl, David, Christian Reinbacher, Gernot Riegler, Matthias Rüther, & Horst Bischof. (2014). aTGV-SF: Dense Variational Scene Flow through Projective Warping and Higher Order Regularization. 4 indexed citations

10.

Ferstl, David, René Ranftl, Matthias Rüther, & Horst Bischof. (2013). Multi-modality depth map fusion using primal-dual optimization. 33. 1–8. 2 indexed citations

11.

Ferstl, David, et al.. (2013). Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation. 993–1000. 372 indexed citations breakdown →

12.

Ferstl, David, Matthias Rüther, & Horst Bischof. (2012). Real-Time Hand Gesture Recognition in a Virtual 3D Environment. 1–4. 2 indexed citations

13.

Ferstl, David, Martin Lenz, Matthias Rüther, & Horst Bischof. (2012). Integral Shape from Focus. 1–8. 1 indexed citations

14.

Lenz, Martin, David Ferstl, Matthias Rüther, & Horst Bischof. (2012). Depth coded shape from focus. 1–8. 1 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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