Vladimir Pavlović
- Computer Vision and Pattern Recognition top 0.2%
- Human-Computer Interaction top 0.1%
- Artificial Intelligence top 1%
- Control and Systems Engineering top 1%
- Signal Processing top 1%
- Co-authors
- Thomas S. HuangRajeev SharmaJames M. RehgSanjiv KumarMinyoung KimMaja PantićOgnjen RudovicHenry A. Rowley
- Topics
- Human Pose and Action Recognition (20 papers)Anomaly Detection Techniques and Applications (20 papers)Video Surveillance and Tracking Methods (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Vladimir Pavlović
163 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 2.5k
- Human-Computer Interaction 1.4k
- Artificial Intelligence 1.1k
- Control and Systems Engineering 734
- Signal Processing 605
Countries citing papers authored by Vladimir Pavlović
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 3 | |
| 4 | 18 | |
| 5 | 14 | |
| 6 | Variational Inference for Gaussian Process Models for Survival Analysis | 3 |
| 7 | 24 | |
| 8 | Distributed Probabilistic Learning for Camera Networks with Missing Data | 7 |
| 9 | Function and surface approximation based on enhanced Kernel Regression for small sample sets | 5 |
| 10 | 93 | |
| 11 | 34 | |
| 12 | 12 | |
| 13 | 306 | |
| 14 | Scalable Algorithms for String Kernels with Inexact Matching | 18 |
| 15 | 3 | |
| 16 | 25 | |
| 17 | Learning Switching Linear Models of Human Motion | 206 |
| 18 | Variational learning in mixed-state dynamic graphical models | 7 |
| 19 | Invited Speech: Gestural Interface to a visual computing Environment for Molecular biologists | 15 |
| 20 | 5 |
About Vladimir Pavlović
Vladimir Pavlović is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 167 papers that have together received 4.7k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (20 papers), Anomaly Detection Techniques and Applications (20 papers) and Video Surveillance and Tracking Methods (19 papers). The work is most often cited by research in Human-Computer Interaction (1.4k citations), Computer Vision and Pattern Recognition (2.5k citations) and Signal Processing (605 citations). Vladimir Pavlović has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Thomas S. Huang, Rajeev Sharma, James M. Rehg, Sanjiv Kumar, Minyoung Kim, Maja Pantić, Ognjen Rudovic, Henry A. Rowley, John MacCormick and Pavel P. Kuksa. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.