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Demo Data from SIGIR 2026 / reviewers in the wild / expert

Daiki Sonegawa

dblp:324/6335 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

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.

Artificial intelligence
1 paper
3D vision · 50% Segmentation and scene understanding · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Segmentation and scene understanding › object segmentation
clothing segmentation		 0.612022
Segmentation and Shape Estimation of Multiple Deformed Cloths Using a CNN-Based Landmark Detector and Clustering · ICRA 2022

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

clustering · 0.6CNN-based landmark detector · 0.6
YearPublicationVenuePosition
2022 Segmentation and Shape Estimation of Multiple Deformed Cloths Using a CNN-Based Landmark Detector and Clustering
Daiki Sonegawa, Koichi Ogawara
 ICRA1