5 accepted papers
Face-swapping deepfakes allow realistic identity transfer, which can serve creative purposes but increases the risk of identity abuse. A proactive defense aims to prevent deepfake creation by obstructing identity feature extraction from input images, essential for identity-driven face-swapping. Exis
Person re-identification (re-ID) is crucial for security applications, including autonomous robots that monitor individuals via continuous image acquisition. Such data are transmitted to a database; however, if stored without adequate protection, they can be intercepted, posing privacy risks. In res…
Recently, egocentric action anticipation for wearable robotics cameras has gained considerable attention due to its capability to analyze nouns and verbs from a firstperson view. However, this field encounters challenges due to various uncertainties, such as action-irrelevant information and semanti
Facial expression recognition (FER) models often face challenges when generalizing across domains, such as different datasets and age groups. Despite the significance of this problem, FER in children (child FER) research remains relatively understudied, and such studies exhibit vulnerability to cros…
Most research on facial expression recognition (FER) is conducted in highly controlled environments, but its performance is often unacceptable when applied to real-world situations. This is because when unexpected objects occlude the face, the FER network faces difficulties extracting facial feature…