Efstratios Gavves

8.9k total citations · 4 hit papers
67 papers, 3.2k citations indexed

About

Efstratios Gavves is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Efstratios Gavves has authored 67 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 32 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Efstratios Gavves's work include Advanced Image and Video Retrieval Techniques (17 papers), Domain Adaptation and Few-Shot Learning (15 papers) and Multimodal Machine Learning Applications (14 papers). Efstratios Gavves is often cited by papers focused on Advanced Image and Video Retrieval Techniques (17 papers), Domain Adaptation and Few-Shot Learning (15 papers) and Multimodal Machine Learning Applications (14 papers). Efstratios Gavves collaborates with scholars based in Netherlands, Belgium and United Kingdom. Efstratios Gavves's co-authors include Basura Fernando, Tinne Tuytelaars, Cees G. M. Snoek, Hakan Bilen, Stephen Jay Gould, Amir Ghodrati, José Oramas, Andrea Vedaldi, Zhenyang Li and A.W.M. Smeulders and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and International Journal of Computer Vision.

In The Last Decade

Efstratios Gavves

61 papers receiving 3.1k citations

Hit Papers

Modeling video evolution for action recognition 2015 2026 2018 2022 2015 2016 2017 2015 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. Modeling video evolution for action recognition
    2015 381 citations Basura Fernando, Efstratios Gavves et al. profile →
  2. Dynamic Image Networks for Action Recognition
    2016 376 citations Hakan Bilen, Basura Fernando et al. UvA-DARE (University of Amsterdam) profile →
  3. VideoLSTM convolves, attends and flows for action recognition
    2017 313 citations Zhenyang Li, Efstratios Gavves et al. profile →
  4. Guiding the Long-Short Term Memory Model for Image Caption Generation
    2015 289 citations Efstratios Gavves, Basura Fernando et al. profile →

Peers

Efstratios Gavves
Yanghao Li China
Zhaofan Qiu China
Manohar Paluri United States
Du Tran United States
Jason J. Corso United States
Xinmei Tian China
Xiantong Zhen China
Dima Damen United Kingdom
Basura Fernando Australia
Hirokatsu Kataoka Japan
Yanghao Li China
Efstratios Gavves
Citations per year, relative to Efstratios Gavves Efstratios Gavves (= 1×) peers Yanghao Li

Countries citing papers authored by Efstratios Gavves

Since Specialization
Citations

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

Fields of papers citing papers by Efstratios Gavves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Efstratios Gavves

This figure shows the co-authorship network connecting the top 25 collaborators of Efstratios Gavves. A scholar is included among the top collaborators of Efstratios Gavves 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 Efstratios Gavves. Efstratios Gavves 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.
Quax, Rick, et al.. (2025). Type-II neural symmetry detection with Lie theory. Scientific Reports. 15(1). 33500–33500.
2.
Gavves, Efstratios, et al.. (2025). CTRL-O: Language-Controllable Object-Centric Visual Representation Learning. 29523–29533.
3.
Mademlis, Ioannis, et al.. (2024). Self-supervised visual learning in the low-data regime: A comparative evaluation. Neurocomputing. 620. 129199–129199. 3 indexed citations
4.
Wang, Haochen, Jie Liu, Xiaolong Jiang, et al.. (2024). PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation. Neurocomputing. 599. 128083–128083. 1 indexed citations
5.
6.
Liu, Jie, et al.. (2023). Memory-augmented Variational Adaptation for Online Few-shot Segmentation. 34. 3316–3325. 2 indexed citations
7.
Gavves, Efstratios, et al.. (2023). Taming Simulators: Challenges, Pathways and Vision for the Alignment of Large Language Models. Proceedings of the AAAI Symposium Series. 1(1). 68–72. 1 indexed citations
8.
Sonke, Jan‐Jakob, et al.. (2023). PC-Reg: A pyramidal prediction–correction approach for large deformation image registration. Medical Image Analysis. 90. 102978–102978. 8 indexed citations
9.
Išgum, Ivana, et al.. (2023). Spatio-temporal physics-informed learning: A novel approach to CT perfusion analysis in acute ischemic stroke. Medical Image Analysis. 90. 102971–102971. 3 indexed citations
10.
Emmer, Bart J., et al.. (2023). PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke. Medical Image Analysis. 85. 102749–102749. 20 indexed citations
11.
Chen, Yunlu, Basura Fernando, Hakan Bilen, Thomas Mensink, & Efstratios Gavves. (2021). Neural Feature Matching in Implicit 3D Representations. UvA-DARE (University of Amsterdam). 1582–1593. 2 indexed citations
12.
Gavves, Efstratios, et al.. (2021). Domain- and task-specific transfer learning for medical segmentation tasks. Computer Methods and Programs in Biomedicine. 214. 106539–106539. 41 indexed citations
13.
Gavves, Efstratios, et al.. (2020). Siamese Tracking of Cell Behaviour Patterns. UvA-DARE (University of Amsterdam). 121. 570–587. 1 indexed citations
14.
Gavves, Efstratios, et al.. (2019). Training a Spiking Neural Network with Equilibrium Propagation. UvA-DARE (University of Amsterdam). 2 indexed citations
15.
O’Connor, Peter, Efstratios Gavves, & Max Welling. (2019). Initialized Equilibrium Propagation for Backprop-Free Training. UvA-DARE (University of Amsterdam). 2 indexed citations
16.
Gavves, Efstratios, et al.. (2018). BOCK : Bayesian Optimization with Cylindrical Kernels. UvA-DARE (University of Amsterdam). 80. 3868–3877. 16 indexed citations
17.
Li, Zhenyang, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, & A.W.M. Smeulders. (2017). Tracking by Natural Language Specification. UvA-DARE (University of Amsterdam). 7350–7358. 103 indexed citations
18.
Bilen, Hakan, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, & Stephen Jay Gould. (2016). Dynamic Image Networks for Action Recognition. UvA-DARE (University of Amsterdam). 3034–3042. 376 indexed citations breakdown →
19.
Gavves, Efstratios, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, & Tinne Tuytelaars. (2015). Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. UvA-DARE (University of Amsterdam). 2731–2739. 34 indexed citations
20.
Mensink, Thomas, Efstratios Gavves, & Cees G. M. Snoek. (2014). COSTA: Co-Occurrence Statistics for Zero-Shot Classification. UvA-DARE (University of Amsterdam). 2441–2448. 140 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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