Muhammad Sadiq

GCA-ODN: A global context-aware dropout network for joint facial landmark detection and emotion recognition under occlusion.

We propose the Global Context-Aware Dropout Network (GCA-ODN), a CNN-based, computationally practical neural architecture for joint facial landmark detection (FLD) and facial expression recognition (FER) under partial facial occlusion. GCA-ODN learns a shared embedding that encodes facial geometry and affective cues, i...