Vili Kellokumpu

1.1k total citations
16 papers, 722 citations indexed

About

Vili Kellokumpu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Vili Kellokumpu has authored 16 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Vili Kellokumpu's work include Human Pose and Action Recognition (9 papers), Gait Recognition and Analysis (6 papers) and Video Surveillance and Tracking Methods (4 papers). Vili Kellokumpu is often cited by papers focused on Human Pose and Action Recognition (9 papers), Gait Recognition and Analysis (6 papers) and Video Surveillance and Tracking Methods (4 papers). Vili Kellokumpu collaborates with scholars based in Finland, China and United Kingdom. Vili Kellokumpu's co-authors include Guoying Zhao, Matti Pietikäinen, Matti Pietikäinen, Shengcai Liao, Stan Z. Li, Paul Crook, Janne Heikkilä, Jie Chen, Larry S. Davis and Shiv Vitaladevuni and has published in prestigious journals such as Image and Vision Computing, Machine Vision and Applications and Cognitive Computation.

In The Last Decade

Vili Kellokumpu

15 papers receiving 690 citations

Peers

Vili Kellokumpu
Mohammadreza Babaee Germany
Zhaoxuan Yang China
Abrar Ahmed Pakistan
Donghao Luo China
Yanan Guo China
Muhittin Gökmen Türkiye
Xuanhan Wang China
Adnan Ahmed Rafique Pakistan
Mohammadreza Babaee Germany
Vili Kellokumpu
Citations per year, relative to Vili Kellokumpu Vili Kellokumpu (= 1×) peers Mohammadreza Babaee

Countries citing papers authored by Vili Kellokumpu

Since Specialization
Citations

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

Fields of papers citing papers by Vili Kellokumpu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vili Kellokumpu

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

All Works

16 of 16 papers shown
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Chen, Jie, Vishal M. Patel, Li Liu, et al.. (2017). Robust local features for remote face recognition. Image and Vision Computing. 64. 34–46. 40 indexed citations
4.
Kukka, Hannu, et al.. (2016). Spontaneous Device Association Using Inaudible Audio Signatures. 91–96. 1 indexed citations
5.
Hadid, Abdenour, et al.. (2016). Can gait biometrics be spoofed. ePrints Soton (University of Southampton). 15 indexed citations
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Hadid, Abdenour, et al.. (2015). Gait biometrics under spoofing attacks: an experimental investigation. Journal of Electronic Imaging. 24(6). 63022–63022. 7 indexed citations
7.
Röning, Juha, et al.. (2014). Minotaurus: A System for Affective Human–Robot Interaction in Smart Environments. Cognitive Computation. 6(4). 940–953. 14 indexed citations
8.
Chen, Jie, Vili Kellokumpu, Guoying Zhao, & Matti Pietikäinen. (2013). RLBP: Robust Local Binary Pattern. 122.1–122.11. 75 indexed citations
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Chen, Jie, Guoying Zhao, Vili Kellokumpu, & Matti Pietikäinen. (2011). Combining sparse and dense descriptors with temporal semantic structures for robust human action recognition. 1524–1531. 4 indexed citations
10.
Kellokumpu, Vili. (2011). Vision-based human motion description and recognition. 5 indexed citations
11.
Liao, Shengcai, Guoying Zhao, Vili Kellokumpu, Matti Pietikäinen, & Stan Z. Li. (2010). Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes. 1301–1306. 274 indexed citations
12.
Kellokumpu, Vili, Guoying Zhao, & Matti Pietikäinen. (2010). Dynamic textures for human movement recognition. 470–476. 14 indexed citations
13.
Kellokumpu, Vili, Guoying Zhao, & Matti Pietikäinen. (2009). Recognition of human actions using texture descriptors. Machine Vision and Applications. 22(5). 767–780. 59 indexed citations
14.
Vitaladevuni, Shiv, Vili Kellokumpu, & Larry S. Davis. (2008). Action recognition using ballistic dynamics. 1–8. 38 indexed citations
15.
Crook, Paul, Vili Kellokumpu, Guoying Zhao, & Matti Pietikäinen. (2008). Human Activity Recognition Using a Dynamic Texture Based Method. 88.1–88.10. 104 indexed citations
16.
Kellokumpu, Vili, Matti Pietikäinen, & Janne Heikkilä. (2005). Human Activity Recognition Using Sequences of Postures. Machine Vision and Applications. 570–573. 69 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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