Naphtali Abudarham

This study investigates whether facial preferences can be influenced by context, finding that adding a decoy face increases selection of a target face by up to 7%.

This paper introduces a developmentally inspired model for face recognition that learns continuously through generative memory replay, achieving performance comparable to batch-trained DCNNs.

This study shows that increasing face image diversity during training improves deep networks' view invariance, sensitivity to critical facial features, and classification performance.

This study uses deep learning models to show that domain-specific computations are better for fine-grained classification than domain-general ones.