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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
103
Citations
92211
World Ranking
315
National Ranking
19

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Andrea Vedaldi is affiliated with the University of Oxford in the United Kingdom. Their research activity is primarily focused on the field of Computer Science, with a substantial number of publications advancing various subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Computer Graphics and Computer-Aided Design, and Signal Processing.

The scientist's work spans several main topics, such as:

  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • 3D Shape Modeling and Analysis
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Computer Graphics and Visualization Techniques
  • Advanced Image and Video Retrieval Techniques

Andrea Vedaldi has contributed significantly to scientific publishing, including numerous recent papers:

  • "Deep Image Prior" (2020), published in International Journal of Computer Vision
  • "Accurate brain age prediction with lightweight deep neural networks" (2020), Medical Image Analysis
  • "Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation" (2021), 2021 International Conference on 3D Vision (3DV)
  • "Generalized Category Discovery" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The scientist frequently publishes in key venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Journal of Computer Vision
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Andrea Vedaldi has collaborated with several co-authors repeatedly, highlighting ongoing research partnerships with the following colleagues:

  • Christian Rupprecht (46 collaborations)
  • Iro Laina (31 collaborations)
  • Andrew Zisserman (24 collaborations)
  • David Novotný (24 collaborations)
  • Natalia Neverova (22 collaborations)

In addition to articles and papers, Vedaldi has contributed to book publications, particularly with Springer Science+Business Media. Notably, numerous contributions have been made to collections titled "Computer Vision - ECCV 2020," released in 2020.

Best Publications

  • Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

    Karen Simonyan;Andrea Vedaldi;Andrew Zisserman

  • Deep face recognition

    Omkar M. Parkhi;Andrea Vedaldi;Andrew Zisserman

  • Fully-Convolutional Siamese Networks for Object Tracking

    Luca Bertinetto;Jack Valmadre;João F. Henriques;Andrea Vedaldi

  • Instance Normalization: The Missing Ingredient for Fast Stylization.

    Dmitry Ulyanov;Andrea Vedaldi;Victor S. Lempitsky

  • Return of the Devil in the Details: Delving Deep into Convolutional Nets

    Ken Chatfield;Karen Simonyan;Andrea Vedaldi;Andrew Zisserman

  • Vlfeat: an open and portable library of computer vision algorithms

    Andrea Vedaldi;Brian Fulkerson

  • MatConvNet: Convolutional Neural Networks for MATLAB

    Andrea Vedaldi;Karel Lenc

  • Describing Textures in the Wild

    Mircea Cimpoi;Subhransu Maji;Iasonas Kokkinos;Sammy Mohamed

  • Understanding deep image representations by inverting them

    Aravindh Mahendran;Andrea Vedaldi

  • Deep Image Prior

    Victor Lempitsky;Andrea Vedaldi;Dmitry Ulyanov

  • Interpretable Explanations of Black Boxes by Meaningful Perturbation

    Ruth C. Fong;Andrea Vedaldi

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • End-to-End Representation Learning for Correlation Filter Based Tracking

    Jack Valmadre;Luca Bertinetto;Joao Henriques;Andrea Vedaldi

  • Efficient Additive Kernels via Explicit Feature Maps

    A. Vedaldi;A. Zisserman

  • Synthetic Data for Text Localisation in Natural Images

    Ankush Gupta;Andrea Vedaldi;Andrew Zisserman

  • Speeding up Convolutional Neural Networks with Low Rank Expansions

    Max Jaderberg;Andrea Vedaldi;Andrew Zisserman

  • Cats and dogs

    Omkar M Parkhi;Andrea Vedaldi;Andrew Zisserman;C. V. Jawahar

  • Fine-Grained Visual Classification of Aircraft

    Subhransu Maji;Esa Rahtu;Juho Kannala;Matthew B. Blaschko

  • Deep Image Prior

    Dmitry Ulyanov;Andrea Vedaldi;Victor S. Lempitsky

Frequent Co-Authors

Andrew Zisserman
Andrew Zisserman University of Oxford
Karen Simonyan
Karen Simonyan DeepMind (United Kingdom)
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Stefano Soatto
Stefano Soatto University of California, Los Angeles
Iasonas Kokkinos
Iasonas Kokkinos University College London
Subhransu Maji
Subhransu Maji University of Massachusetts Amherst
Victor Lempitsky
Victor Lempitsky Samsung (South Korea)
Niloy J. Mitra
Niloy J. Mitra University College London
Ingmar Posner
Ingmar Posner University of Oxford
Efstratios Gavves
Efstratios Gavves University of Amsterdam

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