World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7899
World Ranking
6556
National Ranking
52

Overview

Yannis Avrithis is affiliated with the Institute of Advanced Research on Artificial Intelligence (IARAI) in Austria. Their research primarily focuses on the field of Computer Science, with a substantial emphasis on Computer Vision and Pattern Recognition as well as Artificial Intelligence.

Their research contributions cover a range of topics including:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques
  • Machine Learning and Data Classification
  • Human Pose and Action Recognition

Frequent publication venues for Yannis Avrithis include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Pattern Recognition
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Some recent papers authored or co-authored by Yannis Avrithis are:

  • All the attention you need: Global-local, spatial-channel attention for image retrieval, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • AlignMixup: Improving Representations By Interpolating Aligned Features, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Iterative label cleaning for transductive and semi-supervised few-shot learning, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Boosting vision transformers for image retrieval, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Opti-CAM: Optimizing saliency maps for interpretability, 2024, Computer Vision and Image Understanding

Yannis Avrithis has collaborated extensively with several researchers, including:

  • Bill Psomas
  • Κωνσταντίνος Καράντζαλος
  • Michalis Lazarou
  • Tania Stathaki
  • Ioannis Kakogeorgiou

Their scholarly output is marked by a focus on topics at the intersection of image retrieval, machine learning, and artificial intelligence. The work involves novel approaches to few-shot learning and enhanced interpretability in vision systems, as reflected in publication titles and thematic focus areas.

Best Publications

  • Label Propagation for Deep Semi-Supervised Learning

    Ahmet Iscen;Giorgos Tolias;Yannis Avrithis;Ondrej Chum

  • Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

    Filip Radenovic;Ahmet Iscen;Giorgos Tolias;Yannis Avrithis

  • Locally Optimized Product Quantization for Approximate Nearest Neighbor Search

    Yannis Kalantidis;Yannis Avrithis

  • Multimodal Saliency and Fusion for Movie Summarization Based on Aural, Visual, and Textual Attention

    Georgios Evangelopoulos;Athanasia Zlatintsi;Alexandros Potamianos;Petros Maragos

  • Semantic annotation of images and videos for multimedia analysis

    Stephan Bloehdorn;Kosmas Petridis;Carsten Saathoff;Nikos Simou

  • To Aggregate or Not to aggregate: Selective Match Kernels for Image Search

    Giorgos Tolias;Yannis Avrithis;Herve Jegou

  • Dense saliency-based spatiotemporal feature points for action recognition

    Konstantinos Rapantzikos;Yannis Avrithis;Stefanos Kollias

  • Semantic Image Segmentation and Object Labeling

    T. Athanasiadis;P. Mylonas;Y. Avrithis;S. Kollias

  • Dense Classification and Implanting for Few-Shot Learning

    Yann Lifchitz;Yannis Avrithis;Sylvaine Picard;Andrei Bursuc

  • Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

    Ahmet Iscen;Giorgos Tolias;Yannis Avrithis;Teddy Furon

  • Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images

    Giorgos Tolias;Yannis Avrithis;Hervé Jégou

  • Personalized Content Retrieval in Context Using Ontological Knowledge

    D. Vallet;P. Castells;M. Fernandez;P. Mylonas

  • Scalable triangulation-based logo recognition

    Yannis Kalantidis;Lluis Garcia Pueyo;Michele Trevisiol;Roelof van Zwol

  • Retrieving landmark and non-landmark images from community photo collections

    Yannis Avrithis;Yannis Kalantidis;Giorgos Tolias;Evaggelos Spyrou

  • What to Hide from Your Students: Attention-Guided Masked Image Modeling

    Unknown

  • Efficient summarization of stereoscopic video sequences

    N.D. Doulamis;A.D. Doulamis;Y.S. Avrithis;K.S. Ntalianis

  • A Stochastic Framework for Optimal Key Frame Extraction from MPEG Video Databases

    Yannis S Avrithis;Anastasios D Doulamis;Nikolaos D Doulamis;Stefanos D Kollias

  • Personalized information retrieval based on context and ontological knowledge

    Ph. Mylonas;D. Vallet;P. Castells;M. FernÁndez

  • VIRaL: Visual Image Retrieval and Localization

    Yannis Kalantidis;Giorgos Tolias;Yannis Avrithis;Marios Phinikettos

  • Mining on Manifolds: Metric Learning Without Labels

    Ahmet Iscen;Giorgos Tolias;Yannis Avrithis;Ondrej Chum

  • A stochastic framework for optimal key frame extraction from MPEG video databases

    N.D. Doulamis;A.D. Doulamis;Y. Avrithis;S.D. Kollias

  • Proceedings of the ACM International Conference on Image and Video Retrieval

    Yiannis Kompatsiaris;Stephane Marchand-Maillet;Yannis Avrithis;Noel O Connor

Frequent Co-Authors

Stefanos Kollias
Stefanos Kollias National Technical University of Athens
Ondrej Chum
Ondrej Chum Czech Technical University in Prague
Steffen Staab
Steffen Staab University of Stuttgart
Ioannis Kompatsiaris
Ioannis Kompatsiaris Information Technologies Institute, Greece
Noel E. O'Connor
Noel E. O'Connor Dublin City University
Pablo Castells
Pablo Castells Autonomous University of Madrid
Alan F. Smeaton
Alan F. Smeaton Dublin City University
Anastasios Doulamis
Anastasios Doulamis National Technical University of Athens
Nikolaos Doulamis
Nikolaos Doulamis National Technical University of Athens
Petros Maragos
Petros Maragos National Technical University of Athens

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 you explore studying Computer Science in the USA, it's helpful to know what online options and career pathways are available. Many students are drawn to quick degrees online that pay well, which can fast-track you into the workforce while maximizing your return on investment.

The growth of artificial intelligence (AI) in the tech sector has led to a surge in demand for online degrees in this niche. You can find a range of online degrees in ai designed to provide cutting-edge skills while remaining budget-friendly.

Choosing the right field is crucial. If you're unsure where to specialize, check out the best degree to get for in-demand jobs, balancing your interests with earning potential and long-term career growth.

For those considering graduate studies but want to avoid lengthy or overly challenging programs, it's worth exploring what is the easiest masters degree to obtain, helping you upskill without unnecessary hurdles.

Best Scientists Citing Yannis Avrithis

Trending Scientists

Recently Published Articles