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Andrey Gusev

dblp:185/9653 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval
image retrieval		 0.412020
Evolution of a Web-Scale Near Duplicate Image Detection System · WWW 2020
Multimedia analysis and retrieval › near-duplicate detection
near-duplicate image detection		 0.412020
Evolution of a Web-Scale Near Duplicate Image Detection System · WWW 2020

Methods — techniques the papers use, named apart from their topics

clustering · 0.9candidate generation · 0.9
YearPublicationVenuePosition
2020 Evolution of a Web-Scale Near Duplicate Image Detection System
abstract
Detecting near duplicate images is fundamental to the content ecosystem of photo sharing web applications. However, such a task is challenging when involving a web-scale image corpus containing billions of images. In this paper, we present an efficient system for detecting near duplicate images across 8 billion images. Our system consists of three stages: candidate generation, candidate selection, and clustering. We also demonstrate that this system can be used to greatly improve the quality of recommendations and search results across a number of real-world applications.
Andrey Gusev, Jiajing Xu 0003
 WWW1