George Toderici

15.4k total citations · 3 hit papers
28 papers, 7.6k citations indexed

About

George Toderici is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, George Toderici has authored 28 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in George Toderici's work include Face recognition and analysis (10 papers), Face and Expression Recognition (8 papers) and Advanced Image and Video Retrieval Techniques (6 papers). George Toderici is often cited by papers focused on Face recognition and analysis (10 papers), Face and Expression Recognition (8 papers) and Advanced Image and Video Retrieval Techniques (6 papers). George Toderici collaborates with scholars based in United States, Greece and Switzerland. George Toderici's co-authors include Li Fei-Fei, Sanketh Shetty, Thomas Leung, Andrej Karpathy, Rahul Sukthankar, Joe Yue-Hei Ng, Matthew Hausknecht, Rajat Monga, Sudheendra Vijayanarasimhan and Oriol Vinyals and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

George Toderici

27 papers receiving 7.3k citations

Hit Papers

Large-Scale Video Classification with Convolutional Neura... 2014 2026 2018 2022 2014 2015 2014 1000 2.0k 3.0k 4.0k
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. Large-Scale Video Classification with Convolutional Neural Networks
    2014 4.2k citations Andrej Karpathy, George Toderici et al. profile →
  2. Beyond short snippets: Deep networks for video classification
    2015 1.4k citations Joe Yue-Hei Ng, Matthew Hausknecht et al. profile →
  3. Large-scale Video Classification with Convolutional Neural Networks
    2014 578 citations Andrej Karpathy, George Toderici 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
George Toderici United States 21 6.2k 2.8k 1.1k 850 599 28 7.6k
Marcus Rohrbach United States 32 8.5k 1.4× 4.9k 1.7× 778 0.7× 410 0.5× 522 0.9× 42 10.5k
Lorenzo Torresani United States 30 4.8k 0.8× 2.3k 0.8× 698 0.6× 411 0.5× 428 0.7× 77 6.1k
Hong Liu China 36 4.4k 0.7× 1.6k 0.6× 902 0.8× 542 0.6× 505 0.8× 295 6.1k
Chuang Gan United States 38 4.5k 0.7× 2.6k 0.9× 723 0.7× 630 0.7× 344 0.6× 114 5.5k
Ling‐Yu Duan China 47 6.8k 1.1× 2.0k 0.7× 1.2k 1.1× 836 1.0× 527 0.9× 241 7.8k
Alexander Toshev United States 17 7.2k 1.2× 3.4k 1.2× 612 0.6× 291 0.3× 661 1.1× 27 9.1k
Sérgio Escalera Spain 41 3.6k 0.6× 1.5k 0.5× 824 0.8× 1.0k 1.2× 1.3k 2.1× 261 6.4k
Sanketh Shetty France 4 3.7k 0.6× 2.0k 0.7× 760 0.7× 268 0.3× 444 0.7× 6 4.8k
Junliang Xing China 37 7.2k 1.2× 2.0k 0.7× 1.7k 1.6× 509 0.6× 786 1.3× 152 8.1k
Caifeng Shan China 29 4.6k 0.8× 1.0k 0.4× 896 0.8× 542 0.6× 622 1.0× 158 5.9k

Countries citing papers authored by George Toderici

Since Specialization
Citations

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

Fields of papers citing papers by George Toderici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Toderici

This figure shows the co-authorship network connecting the top 25 collaborators of George Toderici. A scholar is included among the top collaborators of George Toderici 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 George Toderici. George Toderici 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.
Agustsson, Eirikur, David Minnen, George Toderici, & Fabian Mentzer. (2023). Multi-Realism Image Compression with a Conditional Generator. 22324–22333. 33 indexed citations
2.
Chou, Philip A., et al.. (2022). LVAC: Learned volumetric attribute compression for point clouds using coordinate based networks. SHILAP Revista de lepidopterología. 2. 20 indexed citations
3.
Agustsson, Eirikur, et al.. (2022). VCT: A Video Compression Transformer. 13091–13103.
4.
Chinen, Troy, Johannes Ballé, Chunhui Gu, et al.. (2018). Towards A Semantic Perceptual Image Metric. 624–628. 3 indexed citations
5.
Minnen, David, Johannes Ballé, & George Toderici. (2018). Joint Autoregressive and Hierarchical Priors for Learned Image Compression. arXiv (Cornell University). 31. 10794–10803. 182 indexed citations
6.
Johnston, Nick, Damien Vincent, David Minnen, et al.. (2018). Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks. 4385–4393. 223 indexed citations
7.
Kakadiaris, Ioannis A., George Toderici, Georgios Evangelopoulos, et al.. (2016). 3D-2D face recognition with pose and illumination normalization. Computer Vision and Image Understanding. 154. 137–151. 47 indexed citations
8.
Ng, Joe Yue-Hei, Matthew Hausknecht, Sudheendra Vijayanarasimhan, et al.. (2015). Beyond short snippets: Deep networks for video classification. 4694–4702. 1422 indexed citations breakdown →
9.
Karpathy, Andrej, George Toderici, Sanketh Shetty, et al.. (2014). Large-Scale Video Classification with Convolutional Neural Networks. 1725–1732. 4161 indexed citations breakdown →
10.
Karpathy, Andrej, George Toderici, Sanketh Shetty, et al.. (2014). Large-scale Video Classification with Convolutional Neural Networks. 578 indexed citations breakdown →
11.
Yang, Weilong & George Toderici. (2011). Discriminative tag learning on YouTube videos with latent sub-tags. 3217–3224. 21 indexed citations
12.
Toderici, George, G. Passalis, Stefanos Zafeiriou, et al.. (2010). Bidirectional relighting for 3D-aided 2D face recognition. 2. 2721–2728. 27 indexed citations
13.
Aradhye, Hrishikesh, George Toderici, & Jay Yagnik. (2009). Video2Text: Learning to Annotate Video Content. 144–151. 42 indexed citations
14.
Toderici, George & Jay Yagnik. (2009). Automatic, efficient, temporally-coherent video enhancement for large scale applications. 609–612. 4 indexed citations
15.
Kakadiaris, Ioannis A., et al.. (2007). Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(4). 640–649. 297 indexed citations
16.
Passalis, Georgios, Theoharis Theoharis, George Toderici, & Ioannis A. Kakadiaris. (2007). General Voxelization Algorithm with Scalable GPU Implementation. Journal of Graphics Tools. 12(1). 61–71. 3 indexed citations
17.
18.
Kakadiaris, Ioannis A., et al.. (2006). 3D Face Recognition. 89.1–89.10. 20 indexed citations
19.
Kakadiaris, Ioannis A., et al.. (2005). 8D-THERMO CAM: Combination of Geometry with Physiological Information for Face Recognition. 2. 1183–1183. 2 indexed citations
20.
Toderici, George, et al.. (2005). Evaluation of variability and significance of fundus camera lens distortion. 3. 1497–1500. 3 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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