Abstract— We propose a purely geometric approach to facial attribute recognition which has better cross-modal performance.

We propose a purely geometric approach to facial attribute recognition which has better cross-modal performance than a state-of-the-art appearance-based method.

Our research lays explainable foundations for human-centric cross-modal learning and biometric applications using voice-face corre- lations, such as security ...

Mar 18, 2022 · This work digs into a root question in human perception: can face geometry be gleaned from one's voices?

Mar 18, 2022 · This work focuses on the analysis that whether 3D face models can be learned from only the speech inputs of speakers. Previous works for cross- ...

Oct 22, 2024 · In terms of facial expression, texture features and geometric features are combined which are extracted by the ResNet network and 68 facial ...

This paper presents a comprehensive review of Automatic Facial Recognition Systems using integrative and systematic mapping approach.

Aug 11, 2021 · In this study, we use facial attributes as a soft modality to enhance face recognition. We also indicate that when a deep CNN model is trained ...

This paper investigates sketch-photo face matching and goes beyond the well-studied viewed sketches to tackle forensic sketches and caricatures where ...

This strategy has two key advantages: (i) by selecting relevant regions for each attribute it performs feature selection to focus on relevant sub windows thus ...