Alan Lukežič

6.0k total citations · 1 hit paper
11 papers, 945 citations indexed

About

Alan Lukežič is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Alan Lukežič has authored 11 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Alan Lukežič's work include Video Surveillance and Tracking Methods (10 papers), Visual Attention and Saliency Detection (3 papers) and Advanced Vision and Imaging (3 papers). Alan Lukežič is often cited by papers focused on Video Surveillance and Tracking Methods (10 papers), Visual Attention and Saliency Detection (3 papers) and Advanced Vision and Imaging (3 papers). Alan Lukežič collaborates with scholars based in Slovenia, Czechia and South Korea. Alan Lukežič's co-authors include Matej Kristan, Luka Čehovin Zajc, Jiřı́ Matas, Vitjan Zavrtanik, Yanlin Qian, Joni‐Kristian Kämäräinen, Aleš Leonardis, Song Yan, Ho Min Jung and Byeong Hak Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and International Journal of Computer Vision.

In The Last Decade

Alan Lukežič

10 papers receiving 921 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.

Discriminative Correlation Filter with Channel and Spatial Reliability

2017 778 citations Alan Lukežič, Luka Čehovin Zajc et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alan Lukežič Slovenia	7	858	292	227	94	89	11	945
João Henriques Portugal	6	1.0k 1.2×	308 1.1×	319 1.4×	160 1.7×	90 1.0×	12	1.1k
Hexin Bai United States	4	1.1k 1.2×	284 1.0×	246 1.1×	124 1.3×	84 0.9×	6	1.2k
Ashton Fagg Australia	2	1.1k 1.3×	411 1.4×	315 1.4×	146 1.6×	123 1.4×	2	1.2k
Ge Deng United States	3	1.0k 1.2×	277 0.9×	244 1.1×	123 1.3×	82 0.9×	4	1.1k
Jack Valmadre Australia	6	1.2k 1.4×	336 1.2×	323 1.4×	161 1.7×	92 1.0×	8	1.2k
Nana Fan China	11	552 0.6×	255 0.9×	131 0.6×	50 0.5×	52 0.6×	19	618
Sam Hare United Kingdom	2	1.9k 2.2×	483 1.7×	296 1.3×	135 1.4×	232 2.6×	3	2.0k

Countries citing papers authored by Alan Lukežič

Since Specialization

Citations

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

Fields of papers citing papers by Alan Lukežič

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Lukežič

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Lukežič. A scholar is included among the top collaborators of Alan Lukežič 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 Alan Lukežič. Alan Lukežič 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.

Lukežič, Alan, et al.. (2025). A Distractor-Aware Memory for Visual Object Tracking with SAM2. 24255–24264. 1 indexed citations

2.

Lukežič, Alan, et al.. (2024). A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking. International Journal of Computer Vision. 132(8). 2729–2742.

3.

Lukežič, Alan, et al.. (2024). DAVE – A Detect-and-Verify Paradigm for Low-Shot Counting. 23293–23302. 3 indexed citations

4.

Lukežič, Alan, et al.. (2023). A Low-Shot Object Counting Network With Iterative Prototype Adaptation. 18826–18835. 18 indexed citations

5.

Qian, Yanlin, Song Yan, Alan Lukežič, et al.. (2021). DAL: A Deep Depth-Aware Long-term Tracker. Trepo - Institutional Repository of Tampere University. 7825–7832. 21 indexed citations

6.

Lukežič, Alan, Jiřı́ Matas, & Matej Kristan. (2021). A Discriminative Single-Shot Segmentation Network for Visual Object Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(12). 9742–9755. 11 indexed citations

7.

Lukežič, Alan, et al.. (2020). Performance Evaluation Methodology for Long-Term Single-Object Tracking. IEEE Transactions on Cybernetics. 51(12). 6305–6318. 16 indexed citations

8.

Kim, Byeong Hak, Alan Lukežič, Jong Hyuk Lee, Ho Min Jung, & Min Young Kim. (2020). Global Motion-Aware Robust Visual Object Tracking for Electro Optical Targeting Systems. Sensors. 20(2). 566–566. 4 indexed citations

9.

Zajc, Luka Čehovin, Alan Lukežič, Aleš Leonardis, & Matej Kristan. (2017). . University of Birmingham Research Portal (University of Birmingham). 14 indexed citations

10.

Lukežič, Alan, Luka Čehovin Zajc, & Matej Kristan. (2017). Deformable Parts Correlation Filters for Robust Visual Tracking. IEEE Transactions on Cybernetics. 48(6). 1849–1861. 79 indexed citations

11.

Lukežič, Alan, et al.. (2017). Discriminative Correlation Filter with Channel and Spatial Reliability. 4847–4856. 778 indexed citations breakdown →

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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