2 citations · 2 across the 3 of their papers we have counts for
4 papers
Towards Cost-Efficient Video Dataset Construction with Large Language Models
Mohammed Shabot, Jonathan Adams, Jan Van den Stock +1
Research on video classification models has witnessed significant growth recently, accompanied by a significant increase in the demand for datasets to train such models. Existing v…
Assessing the Alignment of Popular CNNs to the Brain for Valence Appraisal
Laurent Mertens, Elahe' Yargholi, Laura Van Hove +3
Convolutional Neural Networks (CNNs) are a popular type of computer model that have proven their worth in many computer vision tasks. Moreover, they form an interesting study objec…
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition
Youssef Doulfoukar, Laurent Mertens, Joost Vennekens
Convolutional Neural Networks are particularly suited for image analysis tasks, such as Image Classification, Object Recognition or Image Segmentation. Like all Artificial Neural N…
FindingEmo: An Image Dataset for Emotion Recognition in the Wild
Laurent Mertens, Elahe' Yargholi, Hans Op de Beeck +2
We introduce FindingEmo, a new image dataset containing annotations for 25k images, specifically tailored to Emotion Recognition. Contrary to existing datasets, it focuses on compl…