Domen Tabernik

572 total citations · 1 hit paper
11 papers, 291 citations indexed

About

Domen Tabernik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Domen Tabernik has authored 11 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Domen Tabernik's work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Video Surveillance and Tracking Methods (2 papers). Domen Tabernik is often cited by papers focused on Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Video Surveillance and Tracking Methods (2 papers). Domen Tabernik collaborates with scholars based in Slovenia, United Kingdom and Bosnia and Herzegovina. Domen Tabernik's co-authors include Danijel Skočaj, Aleksej Avramović, Matej Kristan, Aleš Leonardis, Marko Boben, Jeremy Wyatt and Janez Perš and has published in prestigious journals such as Construction and Building Materials, IEEE Access and Pattern Recognition.

In The Last Decade

Domen Tabernik

11 papers receiving 283 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.

Mixed supervision for surface-defect detection: From weakly to fully supervised learning

2021 195 citations Domen Tabernik, Danijel Skočaj et al. Computers in Industry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Domen Tabernik Slovenia	6	144	128	76	73	55	11	291
Shuanlong Niu China	11	253 1.8×	141 1.1×	66 0.9×	70 1.0×	114 2.1×	15	392
Xiaoqing Zheng China	8	166 1.2×	82 0.6×	49 0.6×	54 0.7×	69 1.3×	34	328
Gongjie Zhang Singapore	11	93 0.6×	354 2.8×	181 2.4×	27 0.4×	34 0.6×	17	498
Ramanpreet Singh Pahwa Singapore	10	110 0.8×	240 1.9×	35 0.5×	19 0.3×	13 0.2×	30	364
Yunqiang Duan China	5	68 0.5×	173 1.4×	131 1.7×	9 0.1×	28 0.5×	8	287
Chunhua Yang China	4	304 2.1×	163 1.3×	28 0.4×	97 1.3×	118 2.1×	6	403
Zhigang Ling China	10	108 0.8×	236 1.8×	40 0.5×	24 0.3×	32 0.6×	34	368
Yongzhi Min China	8	71 0.5×	46 0.4×	16 0.2×	112 1.5×	96 1.7×	35	269

Countries citing papers authored by Domen Tabernik

Since Specialization

Citations

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

Fields of papers citing papers by Domen Tabernik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Domen Tabernik

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

All Works

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11 of 11 papers shown

1.

Tabernik, Domen, et al.. (2024). Center Direction Network for Grasping Point Localization on Cloths. IEEE Robotics and Automation Letters. 9(10). 8913–8920. 2 indexed citations

2.

Tabernik, Domen, et al.. (2024). Dense center-direction regression for object counting and localization with point supervision. Pattern Recognition. 153. 110540–110540. 5 indexed citations

3.

Tabernik, Domen, et al.. (2023). Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network. Construction and Building Materials. 408. 133582–133582. 16 indexed citations

4.

Tabernik, Domen, et al.. (2021). Mixed supervision for surface-defect detection: From weakly to fully supervised learning. Computers in Industry. 129. 103459–103459. 195 indexed citations breakdown →

5.

Perš, Janez, et al.. (2021). Evaluation of Anomaly Detection Algorithms for the Real-World Applications. 6196–6203. 4 indexed citations

6.

Avramović, Aleksej, et al.. (2020). Neural-Network-Based Traffic Sign Detection and Recognition in High-Definition Images Using Region Focusing and Parallelization. IEEE Access. 8. 189855–189868. 39 indexed citations

7.

Avramović, Aleksej, Domen Tabernik, & Danijel Skočaj. (2018). Real-time Large Scale Traffic Sign Detection. abs 1506 2640. 1–4. 7 indexed citations

8.

Tabernik, Domen, Matej Kristan, Jeremy Wyatt, & Aleš Leonardis. (2016). Towards deep compositional networks. University of Birmingham Research Portal (University of Birmingham). 17. 3470–3475. 8 indexed citations

9.

Tabernik, Domen, Aleš Leonardis, Marko Boben, Danijel Skočaj, & Matej Kristan. (2015). Adding discriminative power to a generative hierarchical compositional model using histograms of compositions. Computer Vision and Image Understanding. 138. 102–113. 4 indexed citations

10.

Tabernik, Domen, et al.. (2013). Room Categorization Based on a Hierarchical Representation of Space. International Journal of Advanced Robotic Systems. 10(2). 6 indexed citations

11.

Tabernik, Domen, Matej Kristan, Marko Boben, & Aleš Leonardis. (2012). Learning statistically relevant edge structure improves low-level visual descriptors. 1471–1474. 5 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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