Triantafyllos Afouras

4.8k total citations · 2 hit papers
21 papers, 2.2k citations indexed

About

Triantafyllos Afouras is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Triantafyllos Afouras has authored 21 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Triantafyllos Afouras's work include Speech and Audio Processing (10 papers), Music and Audio Processing (6 papers) and Human Pose and Action Recognition (4 papers). Triantafyllos Afouras is often cited by papers focused on Speech and Audio Processing (10 papers), Music and Audio Processing (6 papers) and Human Pose and Action Recognition (4 papers). Triantafyllos Afouras collaborates with scholars based in United Kingdom, France and South Korea. Triantafyllos Afouras's co-authors include Jakob Foerster, Nantas Nardelli, Gregory Farquhar, Shimon Whiteson, Andrew Zisserman, Joon Son Chung, Andrew Senior, Oriol Vinyals, Arsha Nagrani and Andrea Vedaldi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Triantafyllos Afouras

18 papers receiving 2.1k citations

Hit Papers

Counterfactual Multi-Agent Policy Gradients 2018 2026 2020 2023 2018 2018 250 500 750 1000
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. Counterfactual Multi-Agent Policy Gradients
    2018 1.0k citations Jakob Foerster, Gregory Farquhar et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  2. Deep Audio-Visual Speech Recognition
    2018 486 citations Triantafyllos Afouras, Joon Son Chung et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Triantafyllos Afouras
Vir V. Phoha United States
Longzhi Yang United Kingdom
Olivier Pietquin France
Chaowei Xiao United States
Andrew L. Maas United States
Ahmad Y. Javaid United States
T. K. Satish Kumar United States
Zuren Feng China
Long-Ji Lin United States
Kamal Z. Zamli Malaysia
Vir V. Phoha United States
Triantafyllos Afouras
Citations per year, relative to Triantafyllos Afouras Triantafyllos Afouras (= 1×) peers Vir V. Phoha

Countries citing papers authored by Triantafyllos Afouras

Since Specialization
Citations

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

Fields of papers citing papers by Triantafyllos Afouras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Triantafyllos Afouras

This figure shows the co-authorship network connecting the top 25 collaborators of Triantafyllos Afouras. A scholar is included among the top collaborators of Triantafyllos Afouras 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 Triantafyllos Afouras. Triantafyllos Afouras 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.
Afouras, Triantafyllos, et al.. (2024). Voicevector: Multimodal Enrolment Vectors for Speaker Separation. 785–789.
2.
Prajwal, K R, Triantafyllos Afouras, & Andrew Zisserman. (2024). Speech Recognition Models are Strong Lip-readers. 2425–2429. 2 indexed citations
3.
Afouras, Triantafyllos, et al.. (2023). Eventfulness for Interactive Video Alignment. ACM Transactions on Graphics. 42(4). 1–10. 2 indexed citations
4.
Afouras, Triantafyllos, et al.. (2023). HT-Step: Aligning Instructional Articles with How-To Videos. 50310–50326.
5.
Afouras, Triantafyllos, et al.. (2023). Learning to Ground Instructional Articles in Videos through Narrations. 15155–15167. 4 indexed citations
6.
Varol, Gül, et al.. (2022). Scaling Up Sign Spotting Through Sign Language Dictionaries. International Journal of Computer Vision. 130(6). 1416–1439. 8 indexed citations
7.
Afouras, Triantafyllos, et al.. (2022). Self-supervised object detection from audio-visual correspondence. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10565–10576. 31 indexed citations
8.
Prajwal, K R, Triantafyllos Afouras, & Andrew Zisserman. (2022). Sub-word Level Lip Reading With Visual Attention. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5152–5162. 64 indexed citations
9.
Albanie, Samuel, Gül Varol, Triantafyllos Afouras, et al.. (2021). SeeHear: Signer Diarisation and a New Dataset. View. 2280–2284. 1 indexed citations
10.
Chen, Honglie, Weidi Xie, Triantafyllos Afouras, et al.. (2021). Localizing Visual Sounds the Hard Way. 16862–16871. 111 indexed citations
11.
Afouras, Triantafyllos, et al.. (2021). Aligning Subtitles in Sign Language Videos. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 11532–11541. 12 indexed citations
12.
Prajwal, K R, et al.. (2021). Visual Keyword Spotting with Attention.
13.
Chung, Joon Son, Jaesung Huh, Arsha Nagrani, Triantafyllos Afouras, & Andrew Zisserman. (2020). Spot the Conversation: Speaker Diarisation in the Wild. arXiv (Cornell University). 299–303. 70 indexed citations
14.
Afouras, Triantafyllos, Joon Son Chung, & Andrew Zisserman. (2020). Now You’re Speaking My Language: Visual Language Identification. Oxford University Research Archive (ORA) (University of Oxford). 2402–2406. 4 indexed citations
15.
Afouras, Triantafyllos, et al.. (2020). Seeing wake words: Audio-visual Keyword Spotting. 3 indexed citations
16.
Afouras, Triantafyllos, Joon Son Chung, & Andrew Zisserman. (2018). The conversation: deep audio-visual speech enhancement. Oxford University Research Archive (ORA) (University of Oxford). 218 indexed citations
17.
Foerster, Jakob, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, & Shimon Whiteson. (2018). Counterfactual Multi-Agent Policy Gradients. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 1011 indexed citations breakdown →
18.
Afouras, Triantafyllos, Joon Son Chung, Andrew Senior, Oriol Vinyals, & Andrew Zisserman. (2018). Deep Audio-Visual Speech Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(12). 8717–8727. 486 indexed citations breakdown →
19.
Foerster, Jakob, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, & Shimon Whiteson. (2017). Counterfactual Multi-Agent Policy Gradients. arXiv (Cornell University). 32(1). 2974–2982. 171 indexed citations
20.
Afouras, Triantafyllos, et al.. (2015). An Application-Layer Restful Sleepy Nodes Implementation for Internet of Things Systems. 205. 16–23. 2 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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