World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13690
World Ranking
4043
National Ranking
245

Research.com Recognitions

  • 2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to image processing and multi-sensor scene understanding

Overview

Andrea Cavallaro is affiliated with Queen Mary University of London in the United Kingdom. Their research spans multiple areas within computer science and engineering, with a strong emphasis on computer vision, artificial intelligence, and signal processing.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Within these fields, key subfields reflect their focused areas of expertise:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing
  • Control and Systems Engineering
  • Human-Computer Interaction

Andrea Cavallaro's research covers several main topics including:

  • Speech and Audio Processing
  • Adversarial Robustness in Machine Learning
  • Robot Manipulation and Learning
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Video Surveillance and Tracking Methods

Some recent publications highlight the range and depth of their work:

  • Learning Generalisable Omni-Scale Representations for Person Re-Identification, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • ColorFool: Semantic Adversarial Colorization, 2021, Queen Mary Research Online (Queen Mary University of London)
  • Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective, 2020, IEEE Signal Processing Magazine
  • Benchmark for Human-to-Robot Handovers of Unseen Containers With Unknown Filling, 2020, IEEE Robotics and Automation Letters
  • A Blind Source Separation Framework for Ego-Noise Reduction on Multi-Rotor Drones, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing

Andrea Cavallaro frequently collaborates with several co-authors, including:

  • Alessio Xompero
  • Changjae Oh
  • Ricardo Sánchez-Matilla
  • Lin Wang
  • Pascal Frossard

The venues where the scientist regularly publishes reflect a focus on open and high-impact platforms, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Signal Processing Magazine
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Andrea Cavallaro was recognized as a Fellow of the International Association for Pattern Recognition (IAPR) in 2018 for contributions related to image processing and multi-sensor scene understanding.

Best Publications

  • Omni-Scale Feature Learning for Person Re-Identification

    Kaiyang Zhou;Yongxin Yang;Andrea Cavallaro;Tao Xiang

  • Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition

    Evangelos Sariyanidi;Hatice Gunes;Andrea Cavallaro

  • Cast shadow segmentation using invariant color features

    Elena Salvador;Andrea Cavallaro;Touradj Ebrahimi

  • Sensor capability and atmospheric correction in ocean colour remote sensing

    Simon Emberton;Lars Chittka;Andrea Cavallaro;Menghua Wang

  • Video Tracking: Theory and Practice

    Emilio Maggio;Andrea Cavallaro

  • Shadow identification and classification using invariant color models

    E. Salvador;A. Cavallaro;T. Ebrahimi

  • Multi-Camera Networks: Principles and Applications

    Hamid Aghajan;Andrea Cavallaro

  • Learning Generalisable Omni-Scale Representations for Person Re-Identification.

    Kaiyang Zhou;Yongxin Yang;Andrea Cavallaro;Tao Xiang

  • Online Multi-target Tracking with Strong and Weak Detections

    Ricardo Sanchez-Matilla;Fabio Poiesi;Andrea Cavallaro

  • Protecting Sensory Data against Sensitive Inferences

    Mohammad Malekzadeh;Richard G. Clegg;Andrea Cavallaro;Hamed Haddadi

  • Hybrid particle filter and mean shift tracker with adaptive transition model

    E. Maggio;A. Cavallaro

  • Video-Based Human Behavior Understanding: A Survey

    Paulo Vinicius Koerich Borges;Nicola Conci;Andrea Cavallaro

  • Efficient Multitarget Visual Tracking Using Random Finite Sets

    E. Maggio;M. Taj;A. Cavallaro

  • Mobile sensor data anonymization

    Mohammad Malekzadeh;Richard G. Clegg;Andrea Cavallaro;Hamed Haddadi

  • Cooperative Robots to Observe Moving Targets: Review.

    Asif Khan;Bernhard Rinner;Andrea Cavallaro

  • Adaptive Appearance Modeling for Video Tracking: Survey and Evaluation

    S. Salti;A. Cavallaro;L. Di Stefano

  • 3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model

    P. Nair;A. Cavallaro

  • Tracking video objects in cluttered background

    A. Cavallaro;O. Steiger;T. Ebrahimi

  • Distributed and Decentralized Multicamera Tracking

    M Taj;A Cavallaro

  • DarkneTZ: towards model privacy at the edge using trusted execution environments

    Fan Mo;Ali Shahin Shamsabadi;Kleomenis Katevas;Soteris Demetriou

  • Multifeature Object Trajectory Clustering for Video Analysis

    N. Anjum;A. Cavallaro

  • Semantic video analysis for adaptive content delivery and automatic description

    A. Cavallaro;O. Steiger;T. Ebrahimi

  • Adaptive Multifeature Tracking in a Particle Filtering Framework

    E. Maggio;F. Smerladi;A. Cavallaro

Frequent Co-Authors

Touradj Ebrahimi
Touradj Ebrahimi École Polytechnique Fédérale de Lausanne
Hamed Haddadi
Hamed Haddadi Imperial College London
Carlo S. Regazzoni
Carlo S. Regazzoni University of Genoa
Bernhard Rinner
Bernhard Rinner University of Klagenfurt
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Aleksandra Mojsilovic
Aleksandra Mojsilovic IBM (United States)
Hatice Gunes
Hatice Gunes University of Cambridge
Brendan J. Frey
Brendan J. Frey University of Toronto
Roberto Pieraccini
Roberto Pieraccini Google (United States)
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As technology evolves, the demand for professionals skilled in technical fields continues to rise. If you're studying Computer Science in the USA, exploring related online degree options can expand your career opportunities and allow for flexible learning schedules.

For those interested in engineering, consider enrolling in the cheapest mechanical engineering degree online to combine problem solving with real-world applications. Alternatively, a physics degree online strengthens your foundation in scientific principles and data analysis, skills highly valued in tech industries.

Data science is another fast-growing field intersecting with computer science. You can find affordable data science programs that teach the latest analytics, machine learning, and big data techniques. Additionally, those interested in hardware or circuitry may explore online electrical engineering courses USA for specialization in electronics and communication.

Exploring these related online programs can help diversify your skill set and open doors to a range of career pathways in the tech sector.

Best Scientists Citing Andrea Cavallaro

Trending Scientists