Federico Becattini

794 total citations
38 papers, 373 citations indexed

About

Federico Becattini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Federico Becattini has authored 38 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 6 papers in Cognitive Neuroscience. Recurrent topics in Federico Becattini's work include Generative Adversarial Networks and Image Synthesis (8 papers), Human Pose and Action Recognition (7 papers) and Advanced Neural Network Applications (7 papers). Federico Becattini is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (8 papers), Human Pose and Action Recognition (7 papers) and Advanced Neural Network Applications (7 papers). Federico Becattini collaborates with scholars based in Italy, China and Switzerland. Federico Becattini's co-authors include Alberto Del Bimbo, Lorenzo Seidenari, Federico Pernici, Pietro Pala, Francesco Marchetti, Andrew D. Bagdanov, Chiara Pero, Vincenzo Loia, Fei Hao and Carmen Bisogni and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and IEEE Transactions on Industrial Informatics.

In The Last Decade

Federico Becattini

33 papers receiving 361 citations

Peers

Federico Becattini

CVPR

EEE

Monica Haurilet Germany

Hadi Kazemi United States

Markus Hofbauer Germany

Manuel Martín Germany

BoYu Gao China

Yujie Zheng China

Ferran Diego Spain

Jiahao Xia China

Marcus Kleinehagenbrock Germany

Ahmed Fares Egypt

Monica Haurilet Germany

Federico Becattini

237 ×1.1

CVPR

107 ×0.9

96 ×1.2

11 ×0.2

EEE

28 ×0.5

Citations per year, relative to Federico Becattini Federico Becattini (= 1×) peers Monica Haurilet

Countries citing papers authored by Federico Becattini

Since Specialization

Citations

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

Fields of papers citing papers by Federico Becattini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Becattini

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

All Works

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20 of 20 papers shown

Becattini, Federico, et al.. (2025). Spike-TBR: A noise resilient neuromorphic event representation. Pattern Recognition Letters. 196. 198–205.

Becattini, Federico, et al.. (2025). Spatio-temporal transformers for action unit classification with event cameras. Computer Vision and Image Understanding. 263. 104578–104578.

Becattini, Federico, et al.. (2025). FRED: The Florence RGB-Event Drone Dataset. 13170–13176.

Mordan, Taylor, et al.. (2024). CrossFeat: Semantic Cross-modal Attention for Pedestrian Behavior Forecasting. IEEE Transactions on Intelligent Vehicles. 1–10. 3 indexed citations

Becattini, Federico, et al.. (2024). Neuromorphic face analysis: A survey. Pattern Recognition Letters. 187. 42–48. 4 indexed citations

Simoni, Alessandro, Francesco Marchetti, Guido Borghi, et al.. (2024). 3D Pose Nowcasting: Forecast the future to improve the present. Computer Vision and Image Understanding. 251. 104233–104233.

Becattini, Federico, et al.. (2023). Attribute disentanglement with gradient reversal for interactive fashion retrieval. Pattern Recognition Letters. 172. 203–212. 4 indexed citations

Becattini, Federico, et al.. (2023). Joint-Based Action Progress Prediction. Sensors. 23(1). 520–520. 3 indexed citations

Becattini, Federico, Carmen Bisogni, Vincenzo Loia, Chiara Pero, & Fei Hao. (2023). Head Pose Estimation Patterns as Deepfake Detectors. ACM Transactions on Multimedia Computing Communications and Applications. 20(11). 1–24. 17 indexed citations

10.

Becattini, Federico, et al.. (2023). VISCOUNTH: A Large-scale Multilingual Visual Question Answering Dataset for Cultural Heritage. ACM Transactions on Multimedia Computing Communications and Applications. 19(6). 1–20. 8 indexed citations

11.

Becattini, Federico, et al.. (2023). Explaining autonomous driving with visual attention and end-to-end trainable region proposals. Journal of Ambient Intelligence and Humanized Computing. 6 indexed citations

12.

Becattini, Federico, et al.. (2023). Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving. IEEE Transactions on Intelligent Vehicles. 9(1). 2946–2955. 1 indexed citations

13.

Becattini, Federico, et al.. (2023). Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage. Florence Research (University of Florence). 1699–1708. 5 indexed citations

14.

Becattini, Federico, et al.. (2023). Fashion recommendation based on style and social events. Multimedia Tools and Applications. 82(24). 38217–38232. 4 indexed citations

15.

Becattini, Federico, et al.. (2023). Neuromorphic Event-based Facial Expression Recognition. Use Siena air (University of Siena). 4109–4119. 18 indexed citations

16.

Becattini, Federico, Andrea Ferracani, Alberto Del Bimbo, et al.. (2022). I-MALL An Effective Framework for Personalized Visits. Improving the Customer Experience in Stores. Florence Research (University of Florence). 11–19. 1 indexed citations

17.

Becattini, Federico, et al.. (2022). Disentangling Features for Fashion Recommendation. ACM Transactions on Multimedia Computing Communications and Applications. 19(1s). 1–21. 27 indexed citations

18.

Becattini, Federico, et al.. (2022). Understanding Human Reactions Looking at Facial Microexpressions With an Event Camera. IEEE Transactions on Industrial Informatics. 18(12). 9112–9121. 31 indexed citations

19.

Becattini, Federico, et al.. (2020). Temporal binary representation for event-based action recognition. Florence Research (University of Florence). 44 indexed citations

20.

Seidenari, Lorenzo, et al.. (2020). Explaining autonomous driving by learning end-to-end visual attention. Florence Research (University of Florence). 37 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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