Paolo Rota

1.8k total citations · 1 hit paper
34 papers, 613 citations indexed

About

Paolo Rota is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Paolo Rota has authored 34 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Paolo Rota's work include Human Pose and Action Recognition (10 papers), Anomaly Detection Techniques and Applications (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Paolo Rota is often cited by papers focused on Human Pose and Action Recognition (10 papers), Anomaly Detection Techniques and Applications (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Paolo Rota collaborates with scholars based in Italy, Austria and France. Paolo Rota's co-authors include Nicu Sebe, Petru Soviany, Radu Tudor Ionescu, Elisa Ricci, Nicola Conci, Zhiming Luo, Xavier Alameda-Pineda, Dan Xu, Shaozi Li and Guanglei Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Paolo Rota

33 papers receiving 587 citations

Hit Papers

align trajectories

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.

Curriculum Learning: A Survey

2022 189 citations Petru Soviany, Radu Tudor Ionescu et al. International Journal of Computer Vision profile →

Peers

Paolo Rota

CVPR

Enrique Domínguez Spain

Diego Ortego Spain

Mahmut Kaya Türkiye

Zonghai Zhu China

Lei Shang China

Jack Sim United States

Hanoona Rasheed United Arab Emirates

Enrique Domínguez Spain

Paolo Rota

257 ×0.7

CVPR

233 ×0.8

37 ×0.6

8 ×0.3

18 ×0.8

Citations per year, relative to Paolo Rota Paolo Rota (= 1×) peers Enrique Domínguez

Countries citing papers authored by Paolo Rota

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Rota

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Rota

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

Rota, Paolo, et al.. (2024). Test-Time Zero-Shot Temporal Action Localization. Institutional Research Information System (Università degli Studi di Trento). 18720–18729. 3 indexed citations

Zara, Giacomo, et al.. (2023). The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation. Institutional Research Information System (Università degli Studi di Trento). 10273–10283. 6 indexed citations

Zara, Giacomo, Subhankar Roy, Paolo Rota, & Elisa Ricci. (2023). AutoLabel: CLIP-based framework for Open-Set Video Domain Adaptation. Institutional Research Information System (Università degli Studi di Trento). 11504–11513. 8 indexed citations

Zara, Giacomo, et al.. (2023). Rotation Synchronization via Deep Matrix Factorization. Iris (University of Trento). 2113–2119. 1 indexed citations

Yang, Guanglei, Enrico Fini, Dan Xu, et al.. (2022). Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. IEEE Transactions on Multimedia. 25. 3841–3854. 23 indexed citations

Yang, Guanglei, Enrico Fini, Dan Xu, et al.. (2022). Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2567–2581. 47 indexed citations

Tang, Hao, et al.. (2022). Deep Unsupervised Key Frame Extraction for Efficient Video Classification. ACM Transactions on Multimedia Computing Communications and Applications. 19(3). 1–17. 26 indexed citations

Soviany, Petru, Radu Tudor Ionescu, Paolo Rota, & Nicu Sebe. (2022). Curriculum Learning: A Survey. International Journal of Computer Vision. 130(6). 1526–1565. 189 indexed citations breakdown →

Costa, Victor G. Turrisi da, Giacomo Zara, Paolo Rota, et al.. (2022). Dual-Head Contrastive Domain Adaptation for Video Action Recognition. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2234–2243. 29 indexed citations

10.

Costa, Victor G. Turrisi da, Giacomo Zara, Paolo Rota, et al.. (2022). Unsupervised Domain Adaptation for Video Transformers in Action Recognition. 2022 26th International Conference on Pattern Recognition (ICPR). 1258–1265. 6 indexed citations

11.

Yang, Guanglei, Paolo Rota, Xavier Alameda-Pineda, et al.. (2022). Variational Structured Attention Networks for Deep Visual Representation Learning. IEEE Transactions on Image Processing. PP. 1–1. 4 indexed citations

12.

Zignoli, Andrea, Alessandro Fornasiero, Paolo Rota, et al.. (2020). Oxynet: A collective intelligence that detects ventilatory thresholds in cardiopulmonary exercise tests. European Journal of Sport Science. 22(3). 425–435. 21 indexed citations

13.

Melbourne, Andrew, Roxane Licandro, Matthew D. DiFranco, et al.. (2018). Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis. Lecture notes in computer science. 22 indexed citations

14.

Setti, Francesco, Paolo Rota, Chiara Bassetti, et al.. (2017). The S-Hock dataset: A new benchmark for spectator crowd analysis. Computer Vision and Image Understanding. 159. 47–58. 4 indexed citations

15.

Licandro, Roxane, Paolo Rota, Michael J. Reiter, & Martin Kampel. (2016). Flow Cytometry based automatic MRD assessment in Acute Lymphoblastic Leukaemia: Longitudinal evaluation of time-specific cell population models. Institutional Research Information System (Università degli Studi di Trento). 17. 1–6. 1 indexed citations

16.

Reiter, Michael J., Paolo Rota, Florian Kleber, et al.. (2016). Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures. Pattern Recognition. 60. 1029–1040. 15 indexed citations

17.

Rota, Paolo, Francesco Setti, Chiara Bassetti, et al.. (2015). The S-HOCK dataset: Analyzing crowds at the stadium. Institutional Research Information System (Università degli Studi di Trento). 2039–2047. 30 indexed citations

18.

Rota, Paolo, Stefanie Groeneveld‐Krentz, & Michael J. Reiter. (2015). On automated Flow Cytometric analysis for MRD estimation of Acute Lymphoblastic Leukaemia: A comparison among different approaches. Institutional Research Information System (Università degli Studi di Trento). 11. 438–441. 10 indexed citations

19.

Rota, Paolo, Habib Ullah, Nicola Conci, Nicu Sebe, & Francesco G. B. De Natale. (2013). Particles cross-influence for entity grouping. Institutional Research Information System (Università degli Studi di Trento). 1–5. 12 indexed citations

20.

Morreale, Fabio, et al.. (2013). Collaborative creativity: The Music Room. Personal and Ubiquitous Computing. 18(5). 1187–1199. 15 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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