Michal Perďoch

1.8k total citations
20 papers, 1.0k citations indexed

About

Michal Perďoch is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Michal Perďoch has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 3 papers in Media Technology. Recurrent topics in Michal Perďoch's work include Advanced Image and Video Retrieval Techniques (15 papers), Robotics and Sensor-Based Localization (10 papers) and Image Retrieval and Classification Techniques (9 papers). Michal Perďoch is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Robotics and Sensor-Based Localization (10 papers) and Image Retrieval and Classification Techniques (9 papers). Michal Perďoch collaborates with scholars based in Czechia, Switzerland and Israel. Michal Perďoch's co-authors include Jiřı́ Matas, Ondřej Chum, Andrej Mikulík, Dmytro Mishkin, Yaser Sheikh, Jaroslav Čech, Luc Van Gool, Hyowon Ha, Hatem Alismail and Shih-En Wei and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Pattern Recognition.

In The Last Decade

Michal Perďoch

20 papers receiving 982 citations

Peers

Michal Perďoch

CVPR

AE

AI

MT

GEOLO

Adam Baumberg United Kingdom

Zhengyou Zhang United States

Christopher Geyer United States

Michael Calonder Switzerland

Xiaofeng Ren United States

J.S. Beis Canada

Masahiko Yachida Japan

David Hafner Germany

Jiangjian Xiao China

Donald B. Gennery United States

Adam Baumberg United Kingdom

Michal Perďoch

709 ×0.8

CVPR

308 ×0.8

AE

53 ×0.6

AI

59 ×0.7

MT

37 ×0.8

GEOLO

Citations per year, relative to Michal Perďoch Michal Perďoch (= 1×) peers Adam Baumberg

Countries citing papers authored by Michal Perďoch

Since Specialization

Citations

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

Fields of papers citing papers by Michal Perďoch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Perďoch

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Perďoch. A scholar is included among the top collaborators of Michal Perďoch 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 Michal Perďoch. Michal Perďoch 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:

20 of 20 papers shown

1.

Chen, Jianhui, et al.. (2021). BabelCalib: A Universal Approach to Calibrating Central Cameras. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15233–15242. 7 indexed citations

2.

Wei, Shih-En, Jason Saragih, Tomas Simon, et al.. (2019). VR facial animation via multiview image translation. ACM Transactions on Graphics. 38(4). 1–16. 94 indexed citations

3.

Ha, Hyowon, Michal Perďoch, Hatem Alismail, In So Kweon, & Yaser Sheikh. (2017). Deltille Grids for Geometric Camera Calibration. 5354–5362. 44 indexed citations

4.

Perďoch, Michal, et al.. (2017). Repeated Pattern Detection Using CNN Activations. Lirias (KU Leuven). 47–55. 14 indexed citations

5.

Perďoch, Michal, et al.. (2016). Progressive Prioritized Multi-view Stereo. Lirias (KU Leuven). 3244–3252. 32 indexed citations

6.

Perďoch, Michal, David M. Bradley, Jonathan Chang, et al.. (2015). Leader tracking for a walking logistics robot. 2994–3001. 23 indexed citations

7.

Mishkin, Dmytro, Jiřı́ Matas, & Michal Perďoch. (2015). MODS: Fast and robust method for two-view matching. Computer Vision and Image Understanding. 141. 81–93. 93 indexed citations

8.

Mikulík, Andrej, Michal Perďoch, Ondřej Chum, & Jiřı́ Matas. (2012). Learning Vocabularies over a Fine Quantization. International Journal of Computer Vision. 103(1). 163–175. 45 indexed citations

9.

Chum, Ondřej, Andrej Mikulík, Michal Perďoch, & Jiřı́ Matas. (2011). Total recall II: Query expansion revisited. 889–896. 184 indexed citations

10.

Lemaître, Cédric, et al.. (2011). Detection and matching of curvilinear structures. Pattern Recognition. 44(7). 1514–1527. 12 indexed citations

11.

Mikulík, Andrej, Jiřı́ Matas, Michal Perďoch, & Ondřej Chum. (2010). Construction of Precise Local Affine Frames. Cvut DSpace (Czech Technical University). 1. 3565–3569. 1 indexed citations

12.

Matas, Jiřı́, et al.. (2010). Image Matching and Retrieval by Repetitive Patterns. Cvut DSpace (Czech Technical University). 3195–3198. 21 indexed citations

13.

Čech, Jaroslav, Jiřı́ Matas, & Michal Perďoch. (2010). Efficient Sequential Correspondence Selection by Cosegmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(9). 1568–1581. 45 indexed citations

14.

Perďoch, Michal, Ondřej Chum, & Jiřı́ Matas. (2009). Efficient representation of local geometry for large scale object retrieval. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 9–16. 177 indexed citations

15.

Chum, Ondřej, Michal Perďoch, & Jiřı́ Matas. (2009). Geometric min-Hashing: Finding a (thick) needle in a haystack. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 17–24. 155 indexed citations

16.

Perďoch, Michal, Ondřej Chum, & Jiřı́ Matas. (2009). Efficient representation of local geometry for large scale object retrieval. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 16 indexed citations

17.

Obdržálek, Štěpán, Michal Perďoch, & Jiřı́ Matas. (2008). Dense linear-time correspondences for tracking. Cvut DSpace (Czech Technical University). 1–8. 5 indexed citations

18.

Čech, Jan, Jiřı́ Matas, & Michal Perďoch. (2008). Efficient sequential correspondence selection by cosegmentation. Cvut DSpace (Czech Technical University). 1–8. 10 indexed citations

19.

Perďoch, Michal, Jiřı́ Matas, & Štěpán Obdržálek. (2007). Stable Affine Frames on Isophotes. Cvut DSpace (Czech Technical University). 1–8. 16 indexed citations

20.

Perďoch, Michal, Jiřı́ Matas, & Ondřej Chum. (2006). Epipolar Geometry from Two Correspondences. Cvut DSpace (Czech Technical University). 215–219. 22 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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