D-Index & Metrics Best Publications
Yannis Avrithis

Yannis Avrithis

Institute of Advanced Research on Artificial Intelligence (IARAI)
Austria

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Yannis Avrithis mainly focuses on Artificial intelligence, Pattern recognition, Image retrieval, Information retrieval and Computer vision. Search engine indexing, Artificial neural network, Deep learning, Categorization and Visualization are among the areas of Artificial intelligence where Yannis Avrithis concentrates his study. Yannis Avrithis interconnects Image processing and Contextual image classification in the investigation of issues within Pattern recognition.

His work deals with themes such as Scalability, Query expansion, Kernel and Landmark, which intersect with Image retrieval. His biological study spans a wide range of topics, including Annotation and Personalization. His biological study deals with issues like Feature vector, which deal with fields such as Multiview Video Coding and Key frame.

His most cited work include:

  • Locally Optimized Product Quantization for Approximate Nearest Neighbor Search (199 citations)
  • Semantic annotation of images and videos for multimedia analysis (187 citations)
  • To Aggregate or Not to aggregate: Selective Match Kernels for Image Search (168 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Image retrieval and Multimedia. As a part of the same scientific family, Yannis Avrithis mostly works in the field of Artificial intelligence, focusing on Machine learning and, on occasion, Class. His Pattern recognition research includes elements of Object, Representation and Feature detection.

His Image retrieval research incorporates elements of Query expansion and Convolutional neural network. Yannis Avrithis focuses mostly in the field of Multimedia, narrowing it down to topics relating to Information retrieval and, in certain cases, Semantics, Annotation, Knowledge representation and reasoning and Natural language processing. The Feature extraction study which covers Thesaurus that intersects with Cluster analysis.

He most often published in these fields:

  • Artificial intelligence (60.62%)
  • Pattern recognition (34.72%)
  • Computer vision (23.83%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (60.62%)
  • Pattern recognition (34.72%)
  • Image retrieval (21.24%)

In recent papers he was focusing on the following fields of study:

Yannis Avrithis mostly deals with Artificial intelligence, Pattern recognition, Image retrieval, Graph and Machine learning. Many of his studies on Artificial intelligence apply to Manifold as well. The Pattern recognition study combines topics in areas such as Kernel, Image, Representation and Detector.

His studies examine the connections between Representation and genetics, as well as such issues in Metric, with regards to Cluster analysis, Visual search and Information retrieval. His Image retrieval study contributes to a more complete understanding of Computer vision. His study in the field of Panorama and Color image also crosses realms of Semantic memory.

Between 2015 and 2021, his most popular works were:

  • Label Propagation for Deep Semi-Supervised Learning (146 citations)
  • Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations (112 citations)
  • Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking (106 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary scientific interests are in Artificial intelligence, Pattern recognition, Image retrieval, Manifold and Metric. His Artificial intelligence study typically links adjacent topics like Query expansion. His work on Pattern recognition is typically connected to Graph as part of general Pattern recognition study, connecting several disciplines of science.

The concepts of his Image retrieval study are interwoven with issues in Annotation, Information retrieval and Benchmark. He has included themes like Artificial neural network and Nearest neighbor graph in his Manifold study. His study in Computer vision is interdisciplinary in nature, drawing from both Search engine indexing and Feature vector.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Label Propagation for Deep Semi-Supervised Learning

Ahmet Iscen;Giorgos Tolias;Yannis Avrithis;Ondrej Chum.
computer vision and pattern recognition (2019)

299 Citations

Semantic annotation of images and videos for multimedia analysis

Stephan Bloehdorn;Kosmas Petridis;Carsten Saathoff;Nikos Simou.
european semantic web conference (2005)

295 Citations

Locally Optimized Product Quantization for Approximate Nearest Neighbor Search

Yannis Kalantidis;Yannis Avrithis.
computer vision and pattern recognition (2014)

262 Citations

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

Georgios Evangelopoulos;Athanasia Zlatintsi;Alexandros Potamianos;Petros Maragos.
IEEE Transactions on Multimedia (2013)

231 Citations

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

Giorgos Tolias;Yannis Avrithis;Herve Jegou.
international conference on computer vision (2013)

223 Citations

Dense saliency-based spatiotemporal feature points for action recognition

Konstantinos Rapantzikos;Yannis Avrithis;Stefanos Kollias.
computer vision and pattern recognition (2009)

212 Citations

Semantic Image Segmentation and Object Labeling

T. Athanasiadis;P. Mylonas;Y. Avrithis;S. Kollias.
IEEE Transactions on Circuits and Systems for Video Technology (2007)

207 Citations

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

Filip Radenovic;Ahmet Iscen;Giorgos Tolias;Yannis Avrithis.
computer vision and pattern recognition (2018)

190 Citations

Personalized Content Retrieval in Context Using Ontological Knowledge

D. Vallet;P. Castells;M. Fernandez;P. Mylonas.
IEEE Transactions on Circuits and Systems for Video Technology (2007)

162 Citations

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

Ahmet Iscen;Giorgos Tolias;Yannis Avrithis;Teddy Furon.
computer vision and pattern recognition (2017)

161 Citations

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

Contact us

Best Scientists Citing Yannis Avrithis

Stefanos Kollias

Stefanos Kollias

National Technical University of Athens

Publications: 69

Anastasios Doulamis

Anastasios Doulamis

National Technical University of Athens

Publications: 67

Nikolaos Doulamis

Nikolaos Doulamis

National Technical University of Athens

Publications: 61

Yehoshua Y. Zeevi

Yehoshua Y. Zeevi

Technion – Israel Institute of Technology

Publications: 47

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 30

Ioannis Kompatsiaris

Ioannis Kompatsiaris

Information Technologies Institute, Greece

Publications: 27

Hervé Jégou

Hervé Jégou

Facebook (United States)

Publications: 24

Petros Maragos

Petros Maragos

National Technical University of Athens

Publications: 21

Alberto Del Bimbo

Alberto Del Bimbo

University of Florence

Publications: 18

Pablo Castells

Pablo Castells

Autonomous University of Madrid

Publications: 15

Noel E. O'Connor

Noel E. O'Connor

Dublin City University

Publications: 14

Matthijs Douze

Matthijs Douze

Facebook (United States)

Publications: 13

Shin'ichi Satoh

Shin'ichi Satoh

National Institute of Informatics

Publications: 13

Michael Milford

Michael Milford

Queensland University of Technology

Publications: 13

Iván Cantador

Iván Cantador

Autonomous University of Madrid

Publications: 13

Alan Hanjalic

Alan Hanjalic

Delft University of Technology

Publications: 12

Trending Scientists

Ivar Ekeland

Ivar Ekeland

University of British Columbia

Glenn J. Hinton

Glenn J. Hinton

Intel (United States)

Josef Paldus

Josef Paldus

University of Waterloo

Panchanan Pramanik

Panchanan Pramanik

Indian Institute of Technology Kharagpur

William Brown

William Brown

University of Nottingham

Peter C. Sapp

Peter C. Sapp

University of Massachusetts Medical School

Junichi Sekiguchi

Junichi Sekiguchi

Shinshu University

Wayne L. Nicholson

Wayne L. Nicholson

University of Florida

Michael Sixt

Michael Sixt

Institute of Science and Technology Austria

Kholoud Porter

Kholoud Porter

University College London

Eric Lewin

Eric Lewin

Grenoble Alpes University

M. P. McCormick

M. P. McCormick

Langley Research Center

Stefan Endres

Stefan Endres

Ludwig-Maximilians-Universität München

Laurence Weiss

Laurence Weiss

Université Paris Cité

H. Hill Goldsmith

H. Hill Goldsmith

University of Wisconsin–Madison

Kevin Duff

Kevin Duff

University of Utah

Something went wrong. Please try again later.