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cs.CV2024
VORD: Visual Ordinal Calibration for Mitigating Object Hallucinations in Large Vision-Language Models
Dexter Neo, Tsuhan Chen
Large Vision-Language Models (LVLMs) have made remarkable developments along with the recent surge of large language models. Despite their advancements, LVLMs have a tendency to ge…
cs.CV2023
FER-C: Benchmarking Out-of-Distribution Soft Calibration for Facial Expression Recognition
Dexter Neo, Tsuhan Chen
We present a soft benchmark for calibrating facial expression recognition (FER). While prior works have focused on identifying affective states, we find that FER models are uncalib…
cs.CV2021
Morphset:Augmenting categorical emotion datasets with dimensional affect labels using face morphing
Vassilios Vonikakis, Dexter Neo, Stefan Winkler
Emotion recognition and understanding is a vital component in human-machine interaction. Dimensional models of affect such as those using valence and arousal have advantages over t…