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Samuel Church

dblp:284/7255 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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
Video understanding and tracking · 100%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Video understanding and tracking › video representation learning
object-centric video representation
0.912025
Trackverse: a Large-Scale Object-Centric Video Dataset for Image-Level Representation Learning · ICCV 2025
Computer vision › Video understanding and tracking
video representation learning
0.912025
Trackverse: a Large-Scale Object-Centric Video Dataset for Image-Level Representation Learning · ICCV 2025
Multimedia analysis and retrieval
video dataset
0.312025
Trackverse: a Large-Scale Object-Centric Video Dataset for Image-Level Representation Learning · ICCV 2025

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

image-level representation learning · 1.7
YearPublicationVenuePosition
2025 Trackverse: a Large-Scale Object-Centric Video Dataset for Image-Level Representation Learning
Yibing Wei, Samuel Church, Victor Suciu 0004, Jinhong Lin, Cheng-En Wu
ICCV2