Federico Pernici

745 total citations
34 papers, 407 citations indexed

About

Federico Pernici is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Federico Pernici has authored 34 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 14 papers in Aerospace Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Federico Pernici's work include Advanced Vision and Imaging (19 papers), Video Surveillance and Tracking Methods (12 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Federico Pernici is often cited by papers focused on Advanced Vision and Imaging (19 papers), Video Surveillance and Tracking Methods (12 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Federico Pernici collaborates with scholars based in Italy and United States. Federico Pernici's co-authors include Alberto Del Bimbo, Carlo Colombo, Giuseppe Lisanti, Federico Becattini, Andrew D. Bagdanov, Iacopo Masi, Tsuhan Chen, Giuseppe Serra, Marco Cristani and Fernando J. Álvarez and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Pattern Recognition Letters.

In The Last Decade

Federico Pernici

30 papers receiving 384 citations

Peers

Federico Pernici

CVPR

EEE

GEOLO

Sven Fleck Germany

Miguel Ribo Austria

Pedro Porto Buarque de Gusmão United Kingdom

Hang Zhao China

Andrei Bursuc France

Yunqi Lei China

Ondřej Mikšík United Kingdom

P. Whaite Canada

B.J. Tordoff United Kingdom

Patrick Sayd France

Sven Fleck Germany

Federico Pernici

301 ×0.9

CVPR

75 ×0.6

27 ×0.5

73 ×1.4

EEE

19 ×0.5

GEOLO

Citations per year, relative to Federico Pernici Federico Pernici (= 1×) peers Sven Fleck

Countries citing papers authored by Federico Pernici

Since Specialization

Citations

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

Fields of papers citing papers by Federico Pernici

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Pernici

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Pernici. A scholar is included among the top collaborators of Federico Pernici 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 Pernici. Federico Pernici 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

Pernici, Federico, et al.. (2024). Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements. Zenodo (CERN European Organization for Nuclear Research). 28793–28804.

Pernici, Federico, et al.. (2023). CoReS: Compatible Representations via Stationarity. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 9567–9582. 1 indexed citations

Pernici, Federico, et al.. (2022). CL ² R: Compatible Lifelong Learning Representations. ACM Transactions on Multimedia Computing Communications and Applications. 18(2s). 1–22.

Pernici, Federico, et al.. (2021). Fine-Grained Adversarial Semi-supervised Learning. Florence Research (University of Florence). 5 indexed citations

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

Pernici, Federico, et al.. (2020). Self-supervised on-line cumulative learning from video streams. Computer Vision and Image Understanding. 197-198. 102983–102983. 7 indexed citations

Lisanti, Giuseppe, Iacopo Masi, Federico Pernici, & Alberto Del Bimbo. (2016). Continuous localization and mapping of a pan–tilt–zoom camera for wide area tracking. Machine Vision and Applications. 27(7). 1071–1085. 14 indexed citations

Pernici, Federico, Marco Cristani, Giuseppe Lisanti, et al.. (2014). Information theoretic sensor management for multi-target tracking with a single pan-tilt-zoom camera. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 99. 893–900. 6 indexed citations

Pernici, Federico & Alberto Del Bimbo. (2014). Object Tracking by Oversampling Local Features. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(12). 2538–2551. 73 indexed citations

10.

Bimbo, Alberto Del, Giuseppe Lisanti, Iacopo Masi, & Federico Pernici. (2011). Continuous recovery for real time pan tilt zoom localization and mapping. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 11. 160–165. 8 indexed citations

11.

Bimbo, Alberto Del, et al.. (2010). Exploiting distinctive visual landmark maps in pan–tilt–zoom camera networks. Computer Vision and Image Understanding. 114(6). 611–623. 24 indexed citations

12.

Bertini, Marco, et al.. (2009). Arneb. Institutional Research Information System (University of Udine). 965–966. 2 indexed citations

13.

Bimbo, Alberto Del, Giuseppe Lisanti, & Federico Pernici. (2009). Scale invariant 3D multi-person tracking using a base set of bundle adjusted visual landmarks. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 5. 1121–1128. 4 indexed citations

14.

Bimbo, Alberto Del, et al.. (2008). Uncalibrated Framework for On-line Camera Cooperation to Acquire Human Head Imagery in Wide Areas. 148. 252–258. 5 indexed citations

15.

Chen, Tsuhan, Alberto Del Bimbo, Federico Pernici, & Giuseppe Serra. (2007). Accurate self-calibration of two cameras by observations of a moving person on a ground plane. National University of Singapore. 129–134. 11 indexed citations

16.

Bagdanov, Andrew D., Alberto Del Bimbo, W. Nunziati, & Federico Pernici. (2006). Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments. Florence Research (University of Florence). 4. 40–40. 1 indexed citations

17.

Bimbo, Alberto Del & Federico Pernici. (2006). Towards on-line saccade planning for high-resolution image sensing. Pattern Recognition Letters. 27(15). 1826–1834. 18 indexed citations

18.

Colombo, Carlo, Alberto Del Bimbo, & Federico Pernici. (2004). Metric 3D reconstruction and texture acquisition of surfaces of revolution from a single uncalibrated view. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(1). 99–114. 83 indexed citations

19.

Colombo, Carlo, Alberto Del Bimbo, & Federico Pernici. (2003). Shape reconstruction from a single photograph for 3D object retrieval and visualization. 897–900. 3 indexed citations

20.

Colombo, Carlo, Alberto Del Bimbo, & Federico Pernici. (2003). Uncalibrated 3D metric reconstruction and flattened texture acquisition from a single view of a surface of revolution. Florence Research (University of Florence). 277–284. 13 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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