Georgios Tzimiropoulos

9.1k total citations · 2 hit papers
90 papers, 4.2k citations indexed

About

Georgios Tzimiropoulos is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Georgios Tzimiropoulos has authored 90 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in Georgios Tzimiropoulos's work include Face recognition and analysis (39 papers), Face and Expression Recognition (29 papers) and Video Surveillance and Tracking Methods (17 papers). Georgios Tzimiropoulos is often cited by papers focused on Face recognition and analysis (39 papers), Face and Expression Recognition (29 papers) and Video Surveillance and Tracking Methods (17 papers). Georgios Tzimiropoulos collaborates with scholars based in United Kingdom, Netherlands and United States. Georgios Tzimiropoulos's co-authors include Maja Pantić, Stefanos Zafeiriou, Christos Sagonas, Adrian Bulat, Epameinondas Antonakos, Vasileios Argyriou, Jean Kossaifi, Aaron S. Jackson, Tania Stathaki and Brais Martínez and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Georgios Tzimiropoulos

87 papers receiving 4.1k citations

Hit Papers

300 Faces in-the-Wild Challenge: The First Facial Landmar... 2013 2026 2017 2021 2013 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georgios Tzimiropoulos United Kingdom 28 3.2k 883 520 423 400 90 4.2k
Omkar Parkhi United Kingdom 13 5.1k 1.6× 1.9k 2.1× 512 1.0× 1.2k 2.9× 153 0.4× 19 6.0k
Yu‐Kun Lai United Kingdom 43 4.3k 1.4× 213 0.2× 290 0.6× 609 1.4× 2.3k 5.7× 293 7.0k
Qijun Zhao China 27 2.1k 0.7× 639 0.7× 134 0.3× 346 0.8× 82 0.2× 167 2.8k
Tal Hassner Israel 30 5.1k 1.6× 1.5k 1.6× 329 0.6× 1.1k 2.7× 380 0.9× 95 5.7k
Jiankang Deng United Kingdom 26 2.6k 0.8× 960 1.1× 277 0.5× 506 1.2× 176 0.4× 89 3.2k
Abdenour Hadid Finland 41 8.4k 2.6× 4.5k 5.1× 717 1.4× 1.1k 2.7× 195 0.5× 144 10.2k
Kang Ryoung Park South Korea 39 2.6k 0.8× 1.7k 2.0× 196 0.4× 738 1.7× 42 0.1× 228 5.1k
Xiaoyang Tan China 21 3.6k 1.1× 760 0.9× 194 0.4× 626 1.5× 444 1.1× 79 4.5k
Jüergen Gall Germany 45 5.0k 1.6× 281 0.3× 103 0.2× 1.5k 3.6× 571 1.4× 131 6.2k
Mohamed Abdel-Mottaleb United States 33 3.0k 0.9× 902 1.0× 152 0.3× 597 1.4× 94 0.2× 132 4.5k

Countries citing papers authored by Georgios Tzimiropoulos

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Tzimiropoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgios Tzimiropoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Georgios Tzimiropoulos. A scholar is included among the top collaborators of Georgios Tzimiropoulos 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 Georgios Tzimiropoulos. Georgios Tzimiropoulos 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
2.
Tzimiropoulos, Georgios, et al.. (2024). NoiseBox: Toward More Efficient and Effective Learning With Noisy Labels. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11914–11928. 4 indexed citations
3.
Bulat, Adrian, et al.. (2024). Efficient Vision-Language pre-training via domain-specific learning for human activities. 7978–8000. 1 indexed citations
4.
5.
Tzelepis, Christos, et al.. (2024). One-Shot Neural Face Reenactment via Finding Directions in GAN’s Latent Space. International Journal of Computer Vision. 132(8). 3324–3354. 3 indexed citations
6.
Tan, Fuwen, Łukasz Dudziak, Shell Xu Hu, et al.. (2024). MobileQuant: Mobile-friendly Quantization for On-device Language Models. Edinburgh Research Explorer (University of Edinburgh). 9761–9771. 2 indexed citations
7.
Sánchez, Enrique, et al.. (2023). From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 1–15. 5 indexed citations
8.
Song, Siyang, Shashank Jaiswal, Enrique Sánchez, et al.. (2021). Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition. IEEE Transactions on Affective Computing. 14(1). 178–195. 29 indexed citations
9.
Yang, Jing, Brais Martínez, Adrian Bulat, & Georgios Tzimiropoulos. (2021). Knowledge distillation via softmax regression representation learning. Queen Mary Research Online (Queen Mary University of London). 32 indexed citations
10.
Bulat, Adrian, Brais Martínez, & Georgios Tzimiropoulos. (2021). High-Capacity Expert Binary Networks. Queen Mary Research Online (Queen Mary University of London). 16 indexed citations
11.
Tzelepis, Christos, Georgios Tzimiropoulos, & Ioannis Patras. (2021). WarpedGANSpace: Finding non-linear RBF paths in GAN latent space. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6373–6382. 24 indexed citations
12.
Tzimiropoulos, Georgios, et al.. (2021). Changes in Dairy Cow Behavior with and without Assistance at Calving. Agriculture. 11(8). 722–722. 2 indexed citations
13.
Sánchez, Enrique, et al.. (2020). Unsupervised Learning of Object Landmarks via Self-Training Correspondence. Neural Information Processing Systems. 33. 4709–4720. 7 indexed citations
14.
Bulat, Adrian & Georgios Tzimiropoulos. (2019). XNOR-Net++: Improved binary neural networks.. British Machine Vision Conference. 62. 19 indexed citations
15.
Chen, Shuxiao, et al.. (2018). Rapid tracking of extrinsic projector parameters in fringe projection using machine learning. Optics and Lasers in Engineering. 114. 7–14. 12 indexed citations
16.
Pound, Michael P., Jonathan A. Atkinson, Alexandra J. Townsend, et al.. (2017). Deep machine learning provides state-of-the-art performance in image-based plant phenotyping. GigaScience. 6(10). 1–10. 246 indexed citations
17.
Sánchez, Enrique, Georgios Tzimiropoulos, Brais Martínez, Fernando De la Torre, & Michel Valstar. (2017). A Functional Regression Approach to Facial Landmark Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(9). 2037–2050. 27 indexed citations
18.
Tzimiropoulos, Georgios & Maja Pantić. (2016). Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images. International Journal of Computer Vision. 122(1). 17–33. 23 indexed citations
19.
Kossaifi, Jean, Georgios Tzimiropoulos, & Maja Pantić. (2015). Fast and exact bi-directional fitting of active appearance models. University of Twente Research Information. 1135–1139. 8 indexed citations
20.
Sagonas, Christos, Georgios Tzimiropoulos, Stefanos Zafeiriou, & Maja Pantić. (2013). 300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge. 397–403. 686 indexed citations breakdown →

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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