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

Jeong-O. Jeong

dblp:408/6478 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 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
Vision and language · 50% Segmentation and scene understanding · 50%

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

TopicWeightPapersLastEvidence papers
Computer vision › Segmentation and scene understanding
image and video segmentation		 1.012026
Reasoning Segmentation for Images and Videos: A Survey · Int. J. Comput. Vis. 2026
Computer vision › Vision and language › visual grounding › language-guided segmentation
reasoning segmentation		 1.012026
Reasoning Segmentation for Images and Videos: A Survey · Int. J. Comput. Vis. 2026
YearPublicationVenuePosition
2026 Reasoning Segmentation for Images and Videos: A Survey
Yiqing Shen 0003, Chenjia Li, Jeong-O. Jeong, Tianpeng Wang, Michael Latman, Mathias Unberath
 Int. J. Comput. Vis.4