2 citations · 3 across the 3 of their papers we have counts for
3 papers
WildQA: In-the-Wild Video Question Answering
Santiago Castro, Naihao Deng, Pingxuan Huang +2
Existing video understanding datasets mostly focus on human interactions, with little attention being paid to the "in the wild" settings, where the videos are recorded outdoors. We…
MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task
Yiqun Yao, Michalis Papakostas, Mihai Burzo +2
The capability to automatically detect human stress can benefit artificial intelligent agents involved in affective computing and human-computer interaction. Stress and emotion are…
MuSE-ing on the Impact of Utterance Ordering On Crowdsourced Emotion Annotations
Mimansa Jaiswal, Zakaria Aldeneh, Cristian-Paul Bara +4
Emotion recognition algorithms rely on data annotated with high quality labels. However, emotion expression and perception are inherently subjective. There is generally not a singl…