Michal Hradiš

1.0k total citations
25 papers, 429 citations indexed

About

Michal Hradiš is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Michal Hradiš has authored 25 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Michal Hradiš's work include Advanced Image and Video Retrieval Techniques (7 papers), Video Analysis and Summarization (5 papers) and Image Retrieval and Classification Techniques (5 papers). Michal Hradiš is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Video Analysis and Summarization (5 papers) and Image Retrieval and Classification Techniques (5 papers). Michal Hradiš collaborates with scholars based in Czechia and Finland. Michal Hradiš's co-authors include Pavel Zemčík, Roman Bednarik, Jan Kotera, Filip Šroubek, Hana Vrzáková, Pavel Svoboda, Shahram Eivazi, Adam Herout, Roman Juránek and Oldřich Kodym and has published in prestigious journals such as Pattern Analysis and Applications, International Journal on Document Analysis and Recognition (IJDAR) and Journal of Real-Time Image Processing.

In The Last Decade

Michal Hradiš

24 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michal Hradiš Czechia 8 320 123 102 56 40 25 429
Jean-Christophe Terrillon Japan 6 410 1.3× 48 0.4× 75 0.7× 28 0.5× 44 1.1× 14 507
Fabio Bettio Italy 10 166 0.5× 104 0.8× 79 0.8× 46 0.8× 30 0.8× 31 324
Dave Pape United States 9 165 0.5× 57 0.5× 220 2.2× 46 0.8× 25 0.6× 32 340
Philip Corriveau United States 10 280 0.9× 125 1.0× 73 0.7× 88 1.6× 17 0.4× 25 387
Efstathios Stavrakis Cyprus 10 225 0.7× 34 0.3× 71 0.7× 43 0.8× 14 0.3× 21 308
Pablo Pérez Spain 13 343 1.1× 79 0.6× 220 2.2× 40 0.7× 17 0.4× 80 534
Youichi Horry Japan 8 284 0.9× 57 0.5× 100 1.0× 65 1.2× 7 0.2× 19 440
Thomas Bashford‐Rogers United Kingdom 11 206 0.6× 34 0.3× 34 0.3× 33 0.6× 16 0.4× 47 318
K. K. Biswas India 8 302 0.9× 35 0.3× 135 1.3× 29 0.5× 40 1.0× 30 447
Shunyu Yao China 10 402 1.3× 77 0.6× 37 0.4× 79 1.4× 117 2.9× 27 534

Countries citing papers authored by Michal Hradiš

Since Specialization
Citations

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

Fields of papers citing papers by Michal Hradiš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Hradiš

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

All Works

20 of 20 papers shown
1.
Hradiš, Michal, et al.. (2023). SoftCTC—semi-supervised learning for text recognition using soft pseudo-labels. International Journal on Document Analysis and Recognition (IJDAR). 27(2). 177–193. 2 indexed citations
2.
Kodym, Oldřich & Michal Hradiš. (2021). $$\hbox {TG}^2$$: text-guided transformer GAN for restoring document readability and perceived quality. International Journal on Document Analysis and Recognition (IJDAR). 25(1). 15–28. 9 indexed citations
3.
Smrž, Pavel, et al.. (2020). OCR, Classification& Machine Translation (OCCAM). 481–482. 1 indexed citations
4.
Hradiš, Michal, et al.. (2019). Brno Mobile OCR Dataset. 1352–1357. 6 indexed citations
5.
Svoboda, Pavel, et al.. (2016). Compression Artifacts Removal Using Convolutional Neural Networks. Digital Library (University of West Bohemia). 24. 63–72. 23 indexed citations
6.
Svoboda, Pavel, et al.. (2016). CNN for license plate motion deblurring. 3832–3836. 37 indexed citations
7.
Hradiš, Michal, et al.. (2016). Deep learning on small datasets using online image search. 87–93. 6 indexed citations
8.
Hradiš, Michal, Jan Kotera, Pavel Zemčík, & Filip Šroubek. (2015). Convolutional Neural Networks for Direct Text Deblurring. 6.1–6.13. 145 indexed citations
9.
Zemčík, Pavel, et al.. (2013). High performance architecture for object detection in streamed videos. 1–4. 6 indexed citations
10.
Zemčík, Pavel, et al.. (2013). High performance FPGA object detector: Hardware prototype. 1–1. 1 indexed citations
11.
Bednarik, Roman, Shahram Eivazi, & Michal Hradiš. (2012). Gaze and conversational engagement in multiparty video conversation. 1–6. 28 indexed citations
12.
Sporka, Adam J., et al.. (2012). A comparative study on distant free-hand pointing. 139–142. 16 indexed citations
13.
Hradiš, Michal, Shahram Eivazi, & Roman Bednarik. (2012). Voice activity detection from gaze in video mediated communication. Zenodo (CERN European Organization for Nuclear Research). 329–332. 5 indexed citations
14.
Herout, Adam, Michal Hradiš, & Pavel Zemčík. (2011). EnMS: early non-maxima suppression. Pattern Analysis and Applications. 15(2). 121–132. 6 indexed citations
15.
Hradiš, Michal, et al.. (2010). Brno University of Technology at TRECVid 2010 SIN, CCD. TRECVID. 2 indexed citations
16.
Herout, Adam, et al.. (2008). Brno University of Technology at TRECVid 2008. TRECVID. 1 indexed citations
17.
Hradiš, Michal. (2008). Framework for research on detection classifiers. 1. 155–161. 1 indexed citations
18.
Herout, Adam, Pavel Zemčík, Roman Juránek, & Michal Hradiš. (2008). Implementation of the "Local Rank Differences" Image Feature Using SIMD Instructions of CPU. 450–457. 3 indexed citations
19.
Herout, Adam, et al.. (2007). TRECVID 2007 by the Brno Group.. TRECVID. 579(1-3). 93–7. 2 indexed citations
20.
Hradiš, Michal & Roman Juránek. (2006). Real-time Tracking of Participants in Meeting Video. 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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