Vladimir Pavlović

8.2k total citations · 1 hit paper
167 papers, 4.7k citations indexed

About

Vladimir Pavlović is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Vladimir Pavlović has authored 167 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computer Vision and Pattern Recognition, 63 papers in Artificial Intelligence and 35 papers in Signal Processing. Recurrent topics in Vladimir Pavlović's work include Human Pose and Action Recognition (20 papers), Anomaly Detection Techniques and Applications (20 papers) and Video Surveillance and Tracking Methods (19 papers). Vladimir Pavlović is often cited by papers focused on Human Pose and Action Recognition (20 papers), Anomaly Detection Techniques and Applications (20 papers) and Video Surveillance and Tracking Methods (19 papers). Vladimir Pavlović collaborates with scholars based in United States, Netherlands and United Kingdom. Vladimir Pavlović's co-authors include Thomas S. Huang, Rajeev Sharma, James M. Rehg, Sanjiv Kumar, Maja Pantić, Minyoung Kim, Ognjen Rudovic, Henry A. Rowley, John MacCormick and Pavel P. Kuksa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Vladimir Pavlović

163 papers receiving 4.4k 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.

Visual interpretation of hand gestures for human-computer interaction: a review

1997 1.2k citations Vladimir Pavlović, Rajeev Sharma et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vladimir Pavlović United States	32	2.5k	1.4k	1.1k	734	605	167	4.7k
Stan Sclaroff United States	55	8.6k 3.5×	1.6k 1.1×	2.3k 2.1×	563 0.8×	777 1.3×	213	10.6k
Sethuraman Panchanathan United States	33	2.3k 0.9×	481 0.3×	2.0k 1.8×	136 0.2×	426 0.7×	247	4.7k
Amit Konar India	40	1.3k 0.5×	503 0.4×	3.5k 3.1×	926 1.3×	380 0.6×	366	6.9k
Daijin Kim South Korea	34	2.9k 1.1×	344 0.2×	1.0k 0.9×	330 0.4×	473 0.8×	179	4.2k
Vassilis Athitsos United States	34	2.8k 1.1×	1.5k 1.1×	620 0.5×	360 0.5×	595 1.0×	108	3.9k
Petros Daras Greece	33	2.3k 0.9×	714 0.5×	480 0.4×	284 0.4×	158 0.3×	249	3.7k
Alberto Del Bimbo Italy	47	8.4k 3.4×	584 0.4×	1.8k 1.6×	216 0.3×	1.3k 2.1×	532	9.9k
Dimitris Samaras United States	40	3.3k 1.3×	395 0.3×	878 0.8×	154 0.2×	222 0.4×	149	5.0k
Lianwen Jin China	44	6.0k 2.4×	589 0.4×	1.8k 1.6×	208 0.3×	344 0.6×	311	7.4k
Stefanos Kollias Greece	34	2.8k 1.1×	452 0.3×	1.7k 1.5×	319 0.4×	1.2k 2.0×	306	5.8k

Countries citing papers authored by Vladimir Pavlović

Since Specialization

Citations

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

Fields of papers citing papers by Vladimir Pavlović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Pavlović

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

All Works

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20 of 20 papers shown

Moon, Seonghyeon, et al.. (2023). MSI: Maximize Support-Set Information for Few-Shot Segmentation. 19209–19219. 16 indexed citations

Lee, Mihee, Gang Qiao, Muhammad Usman, et al.. (2022). A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction. Computers & Graphics. 106. 130–140. 3 indexed citations

Haworth, Brandon, et al.. (2021). Heterogeneous Crowd Simulation Using Parametric Reinforcement Learning. IEEE Transactions on Visualization and Computer Graphics. 29(4). 2036–2052. 18 indexed citations

Guerrero, Ricardo, Hai Pham, & Vladimir Pavlović. (2021). Cross-modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Subspace Learning. 3192–3201. 18 indexed citations

Yoon, Sejong, et al.. (2020). Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization. Computers & Graphics. 88. 83–96. 14 indexed citations

Kim, Minyoung & Vladimir Pavlović. (2018). Variational Inference for Gaussian Process Models for Survival Analysis. Uncertainty in Artificial Intelligence. 435–445. 3 indexed citations

Yoon, Sejong & Vladimir Pavlović. (2012). Distributed Probabilistic Learning for Camera Networks with Missing Data. Neural Information Processing Systems. 25. 2924–2932. 7 indexed citations

Shapiai, Mohd Ibrahim, et al.. (2011). Function and surface approximation based on enhanced Kernel Regression for small sample sets. International journal of innovative computing, information & control. 7(10). 5947–5960. 5 indexed citations

Ilić, Dejan, Vladimir Pavlović, & Vladimir Rakočević. (2011). Some new extensions of Banach’s contraction principle to partial metric space. Applied Mathematics Letters. 24(8). 1326–1330. 93 indexed citations

10.

Kim, Minyoung & Vladimir Pavlović. (2010). Central Subspace Dimensionality Reduction Using Covariance Operators. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(4). 657–670. 14 indexed citations

11.

Kuksa, Pavel P., et al.. (2008). Scalable Algorithms for String Kernels with Inexact Matching. Neural Information Processing Systems. 21. 881–888. 18 indexed citations

12.

Kim, Minyoung, Sanjiv Kumar, Vladimir Pavlović, & Henry A. Rowley. (2008). Face tracking and recognition with visual constraints in real-world videos. 1–8. 306 indexed citations

13.

Pavlović, Vladimir, Dan Schonfeld, & Gary Friedman. (2005). Stochastic noise Process enhancement of Hopfield neural networks. IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing. 52(4). 213–217. 5 indexed citations

14.

Garg, A., Vladimir Pavlović, & Thomas S. Huang. (2003). Bayesian networks as ensemble of classifiers. 2. 779–784. 23 indexed citations

15.

Choudhury, Tanzeem, James M. Rehg, Vladimir Pavlović, & Alex Pentland. (2003). Boosting and structure learning in dynamic Bayesian networks for audio-visual speaker detection. 3. 789–794. 38 indexed citations

16.

Pavlović, Vladimir, A. Garg, James M. Rehg, & T.S. Huang. (2002). Multimodal speaker detection using error feedback dynamic Bayesian networks. 2. 34–41. 36 indexed citations

17.

Pavlović, Vladimir, James M. Rehg, & John MacCormick. (2000). Learning Switching Linear Models of Human Motion. Neural Information Processing Systems. 13. 981–987. 206 indexed citations

18.

Pavlović, Vladimir, Brendan J. Frey, & Thomas S. Huang. (1999). Variational learning in mixed-state dynamic graphical models. arXiv (Cornell University). 522–530. 7 indexed citations

19.

Pavlović, Vladimir, Rajeev Sharma, & Thomas S. Huang. (1997). Visual interpretation of hand gestures for human-computer interaction: a review. IEEE Transactions on Pattern Analysis and Machine Intelligence. 19(7). 677–695. 1225 indexed citations breakdown →

20.

Pavlović, Vladimir, Rajeev Sharma, & Thomas S. Huang. (1996). Invited Speech: Gestural Interface to a visual computing Environment for Molecular biologists. 30–37. 15 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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