Pramuditha Perera

1.3k total citations · 1 hit paper
27 papers, 659 citations indexed

About

Pramuditha Perera is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Pramuditha Perera has authored 27 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Pramuditha Perera's work include Anomaly Detection Techniques and Applications (9 papers), User Authentication and Security Systems (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Pramuditha Perera is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), User Authentication and Security Systems (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Pramuditha Perera collaborates with scholars based in United States, Sri Lanka and Hong Kong. Pramuditha Perera's co-authors include Bing Xiang, Ramesh Nallapati, Vishal M. Patel, Rajiv Jain, Curtis Wigington, Varun Manjunatha, Vlad I. Morariu, Vicente Ordóñez, Roshan Godaliyadda and Pong C. Yuen and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Pramuditha Perera

27 papers receiving 650 citations

Hit Papers

OCGAN: One-Class Novelty Detection Using GANs With Constr... 2019 2026 2021 2023 2019 100 200 300
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.

  1. OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations
    2019 331 citations Pramuditha Perera, Ramesh Nallapati et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pramuditha Perera United States 10 461 222 115 101 56 27 659
Chengliang Liu China 17 500 1.1× 434 2.0× 84 0.7× 45 0.4× 17 0.3× 46 828
Angela A. Sodemann United States 6 264 0.6× 123 0.6× 171 1.5× 69 0.7× 18 0.3× 18 388
Jianming Lv China 14 221 0.5× 290 1.3× 103 0.9× 77 0.8× 17 0.3× 48 664
Jiayu Sun China 9 244 0.5× 126 0.6× 164 1.4× 34 0.3× 10 0.2× 15 403
Mohamed Slimane France 10 212 0.5× 93 0.4× 27 0.2× 29 0.3× 37 0.7× 42 420
Hussein Al-Zoubi Jordan 12 220 0.5× 146 0.7× 106 0.9× 38 0.4× 23 0.4× 34 513
Seung‐Ik Lee South Korea 13 381 0.8× 219 1.0× 308 2.7× 33 0.3× 7 0.1× 57 631
Chin‐Shiuh Shieh Taiwan 12 176 0.4× 348 1.6× 287 2.5× 125 1.2× 22 0.4× 92 795
Kamal Jamshidi Iran 14 119 0.3× 201 0.9× 255 2.2× 38 0.4× 38 0.7× 67 568
Liwei Wu China 10 321 0.7× 177 0.8× 31 0.3× 20 0.2× 36 0.6× 28 530

Countries citing papers authored by Pramuditha Perera

Since Specialization
Citations

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

Fields of papers citing papers by Pramuditha Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pramuditha Perera

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

All Works

20 of 20 papers shown
1.
Favero, Alessandro, et al.. (2024). Multi-Modal Hallucination Control by Visual Information Grounding. 14303–14312. 9 indexed citations
2.
Bowman, Benjamin, et al.. (2023). À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 14984–14993. 4 indexed citations
3.
Fu, Xingyu, Sheng Zhang, Pramuditha Perera, et al.. (2023). Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. 2333–2346. 3 indexed citations
4.
Perera, Pramuditha, et al.. (2023). Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. 15349–15358. 5 indexed citations
5.
Achille, Alessandro, et al.. (2023). Train/Test-Time Adaptation with Retrieval. 15911–15921. 6 indexed citations
6.
Wang, Sijia, Henghui Zhu, Sheng Zhang, et al.. (2023). Benchmarking Diverse-Modal Entity Linking with Generative Models. 7841–7857. 3 indexed citations
7.
Shao, Rui, Pramuditha Perera, Pong C. Yuen, & Vishal M. Patel. (2022). Federated Generalized Face Presentation Attack Detection. IEEE Transactions on Neural Networks and Learning Systems. 35(1). 103–116. 22 indexed citations
8.
Shao, Rui, Pramuditha Perera, Pong C. Yuen, & Vishal M. Patel. (2022). Open-Set Adversarial Defense with Clean-Adversarial Mutual Learning. International Journal of Computer Vision. 130(4). 1070–1087. 21 indexed citations
9.
Perera, Pramuditha & Vishal M. Patel. (2021). Geometric Transformation-Based Network Ensemble for Open-Set Recognition. abs 1409 1556. 1–6. 2 indexed citations
10.
Shao, Rui, Pramuditha Perera, Pong C. Yuen, & Vishal M. Patel. (2020). Federated Face Anti-spoofing.. arXiv (Cornell University). 3 indexed citations
11.
Perera, Pramuditha, Vlad I. Morariu, Rajiv Jain, et al.. (2020). Generative-Discriminative Feature Representations for Open-Set Recognition. 11811–11820. 119 indexed citations
12.
Perera, Pramuditha, Ramesh Nallapati, & Bing Xiang. (2019). OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. 2893–2901. 331 indexed citations breakdown →
13.
Perera, Pramuditha & Vishal M. Patel. (2018). Face-Based Multiple User Active Authentication on Mobile Devices. IEEE Transactions on Information Forensics and Security. 14(5). 1240–1250. 32 indexed citations
14.
Perera, Pramuditha & Vishal M. Patel. (2017). Efficient and Low Latency Detection of Intruders in Mobile Active Authentication. IEEE Transactions on Information Forensics and Security. 13(6). 1392–1405. 18 indexed citations
15.
Perera, Pramuditha & Vishal M. Patel. (2017). Towards Multiple User Active Authentication in Mobile Devices. abs 1501 1199. 354–361. 6 indexed citations
16.
Perera, Pramuditha, et al.. (2016). Non-intrusive load monitoring based on low frequency active power measurements. AIMS energy. 4(3). 414–443. 15 indexed citations
17.
Perera, Pramuditha, et al.. (2015). Visual event classification with human like perception. 6. 378–383. 2 indexed citations
18.
Perera, Pramuditha, et al.. (2015). Individual power profile estimation of residential appliances using low frequency smart meter data. 140–145. 12 indexed citations
19.
Perera, Pramuditha, et al.. (2014). Human motion tracking under dynamic background conditions. 1. 1–6. 5 indexed citations
20.
Perera, Pramuditha, et al.. (2014). Object identification, enhancement and tracking under dynamic background conditions. 4. 1–6. 8 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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