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Jan Van den Stock

dblp:125/7346 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0001-5756-3195ORCID · reported

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

Artificial intelligence and machine learning · 2 · 2 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
Information extraction and text analysis · 50% Face, body and person analysis · 50%

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

TopicWeightPapersLastEvidence papers
Computer vision › Face, body and person analysis
affective computing
0.812024
FindingEmo: An Image Dataset for Emotion Recognition in the Wild · NeurIPS 2024
Natural language and speech › Information extraction and text analysis
emotion recognition
0.812024
FindingEmo: An Image Dataset for Emotion Recognition in the Wild · NeurIPS 2024

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

dataset annotation · 0.8
YearPublicationVenuePosition
2024 FindingEmo: An Image Dataset for Emotion Recognition in the Wild
abstract
We introduce FindingEmo, a new image dataset containing annotations for 25k images, specifically tailored to Emotion Recognition. Contrary to existing datasets, it focuses on complex scenes depicting multiple people in various naturalistic, social settings, with images being annotated as a whole, thereby going beyond the traditional focus on faces or single individuals. Annotated dimensions include Valence, Arousal and Emotion label, with annotations gathered using Prolific. Together with the annotations, we release the list of URLs pointing to the original images, as well as all associated source code.
Laurent P. Mertens, Elahe Yargholi, Hans P. Op de Beeck, Jan Van den Stock, Joost Vennekens
NeurIPS4
2023 Color-Dependent Prediction Stability of Popular CNN Image Classification Architectures
Laurent P. Mertens, Elahe Yargholi, Jan Van den Stock, Hans P. Op de Beeck, Joost Vennekens
ICANN (1)3