2 papers
cs.CV2026
Unmasking Face Embeddings: Reading, Rendering and Naming with Foundation Models
Fizza Rubab, Yiying Tong, Arun Ross
Modern face recognition (FR) owes much of its success to deep neural networks that learn to extract compact identity embeddings from face images. These models are typically trained…
cs.LG2025
Learning Neural Antiderivatives
Fizza Rubab, Ntumba Elie Nsampi, Martin Balint +4
Neural fields offer continuous, learnable representations that extend beyond traditional discrete formats in visual computing. We study the problem of learning neural representatio…