World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
27465
World Ranking
2147
National Ranking
121

Overview

Ales Leonardis is a researcher affiliated with the University of Birmingham in the United Kingdom. They have a substantial publication record predominantly in the domains of computer science and engineering, with a particular focus on computer vision and pattern recognition.

The primary fields of their work encompass:

  • Computer Science
  • Engineering

The key subfields Leonardis contributes to include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Systems Engineering
  • Media Technology
  • Aerospace Engineering

The main research topics covered in Leonardis's publications involve:

  • Image Enhancement Techniques
  • Human Pose and Action Recognition
  • Robot Manipulation and Learning
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Advanced Image Processing Techniques

Frequent publication venues for Leonardis include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Image Processing
  • Vision Research

Among Leonardis's recent papers are:

  • "A continual learning survey: Defying forgetting in classification tasks," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Prompting for Multi-Modal Tracking," 2022, Proceedings of the 30th ACM International Conference on Multimedia
  • "Learning Frequency Domain Priors for Image Demoireing," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Leonardis frequently collaborates with several researchers, including:

  • Hyung Jin Chang
  • Steven McDonagh
  • Greg Slabaugh
  • Eduardo Pérez-Pellitero
  • Feng Zheng

Best Publications

  • 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

  • A continual learning survey: Defying forgetting in classification tasks.

    Matthias Delange;Rahaf Aljundi;Marc Masana;Sarah Parisot

  • Computer Vision -- Eccv 2006

    Aleš Leonardis;Horst Bischof;Axel Pinz

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

  • Robust Object Detection with Interleaved Categorization and Segmentation

    Bastian Leibe;Aleš Leonardis;Bernt Schiele

  • Combined Object Categorization and Segmentation With an Implicit Shape Model

    Bastian Leibe;Ales Leonardis;Bernt Schiele

  • A Novel Performance Evaluation Methodology for Single-Target Trackers

    Matej Kristan;Jiri Matas;Ales Leonardis;Tomas Vojir

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • A Survey on Neural Network Interpretability

    Yu Zhang;Peter Tino;Ales Leonardis;Ke Tang

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?

    N. Kruger;P. Janssen;S. Kalkan;M. Lappe

  • Robust Recognition Using Eigenimages

    Aleš Leonardis;Horst Bischof

  • The Visual Object Tracking VOT2014 challenge results

    Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas

  • Segmentation and recovery of superquadrics

    Aleš Jaklič;Aleš Leonardis;Franc Solina

  • Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts

    S. Fidler;A. Leonardis

  • Segmentation of range images as the search for geometric parametric models

    Aleš Leonardis;Alok Gupta;Ruzena Bajcsy

  • Multivariate online kernel density estimation with Gaussian kernels

    Matej Kristan;Aleš Leonardis;Danijel Skočaj

  • The Eighth Visual Object Tracking VOT2020 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Segmentation and recovery of superquadrics: computational imaging and vision

    Aleš Jaklič;Aleš Leonardis;Franc Solina

  • A Two-Stage Dynamic Model for Visual Tracking

    Matej Kristan;Stanislav Kovacic;Aleš Leonardis;Janez Pers

Frequent Co-Authors

Horst Bischof
Horst Bischof Graz University of Technology
Matej Kristan
Matej Kristan University of Ljubljana
Rustam Stolkin
Rustam Stolkin University of Birmingham
Sanja Fidler
Sanja Fidler University of Toronto
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Ruzena Bajcsy
Ruzena Bajcsy University of California, Berkeley
Radu Timofte
Radu Timofte University of Wurzburg
Michael Felsberg
Michael Felsberg Linköping University

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

Exploring computer science in the USA opens up diverse online degree options and career routes. Students can find online accredited colleges that maintain rigorous educational standards, ensuring your degree is widely recognized by employers.

For those interested in gaming and interactive technology, a game design online masters offers advanced skills needed for careers in the booming game industry. Meanwhile, students focused on cybersecurity can pursue an online master's degree cyber security, which is uniquely tailored to address urgent digital security needs worldwide.

Computer science skills are also highly valued in related fields such as construction technology. Managing complex projects is easier when you learn about opportunities like a construction management degree cost comparison, helping you plan for an affordable specialized degree.

Whether you choose a technical, creative, or management track, there are affordable online pathways available to help launch—or accelerate—your tech-focused career.

Best Scientists Citing Ales Leonardis

Trending Scientists

Recently Published Articles