Andrea Cavallaro

11.0k citations
268 papers · 6.9k indexed · 3 hit papers · h-index 40
Topics
Video Surveillance and Tracking Methods (111 papers)Advanced Vision and Imaging (46 papers)Anomaly Detection Techniques and Applications (44 papers)

In The Last Decade

Andrea Cavallaro

259 papers receiving 6.6k citations

Hit Papers

Omni-Scale Feature Learning for Person Re-Identifi...2014202620182022201920142015100200300400500

Peers

Andrea Cavallaro
Comparison fields: 5 of 159
  • Computer Vision and Pattern Recognition 4.7k
  • Artificial Intelligence 1.5k
  • Signal Processing 1.0k
  • Aerospace Engineering 782
  • Electrical and Electronic Engineering 672
Replace Ruoming Pang with:
Ruoming Pang United States
Rainer Stiefelhagen Germany
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Citations per field
00.5×20×40×60×80×94.6×
Ruoming Pang · 1×
Citations per year

Countries citing papers authored by Andrea Cavallaro

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Cavallaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Cavallaro

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Cavallaro. A scholar is included among the top collaborators of Andrea Cavallaro 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 Andrea Cavallaro. Andrea Cavallaro 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
#WorkIndexed citations
1 0
2 1
3 5
4 23
5
Semantically Adversarial Learnable Filters
7
6 3
7 32
8
EdgeFool: An Adversarial Image Enhancement Filter
14
9 18
10 2
11 34
12 10
13
'Person Runs' detection for the TRECVID Surveillance Event Detection task.
0
14 29
15 140
16
Space-time audio-visual speech recognition with multiple multi-class probabilistic support vector machines.
3
17
Event analysis on TRECVid 2008 LondonGatwick dataset.
2
18
Objective Evaluation of Pedestrian and Vehicle Tracking on the CLEAR Surveillance Dataset.
1
19
Shadow detection in image sequences
3
20
Detecting shadows in image sequences
30

About Andrea Cavallaro

Andrea Cavallaro is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 268 papers that have together received 6.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (111 papers), Advanced Vision and Imaging (46 papers) and Anomaly Detection Techniques and Applications (44 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.7k citations), Signal Processing (1.0k citations) and Media Technology (451 citations). Andrea Cavallaro has collaborated with scholars based in United Kingdom, Italy and Switzerland. Frequent co-authors include Touradj Ebrahimi, Emilio Maggio, Tao Xiang, Kaiyang Zhou, Hatice Güneş, Evangelos Sarıyanidi, Lin Wang, Murtaza Taj, E. Salvador and Lars Chıttka. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

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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