3 papers
cs.CV2026
Robust Face Super-Resolution and Recognition Through Multi-Feature Aggregation in Diffusion Models
Marcelo dos Santos, Rayson Laroca, João Carlos Raposo Neves +1
Images acquired in surveillance environments often suffer from conditions such as low resolution, variations in pose, irregular illumination, and occlusions. Due to the low quality…
cs.CV2026
The Good, the Better, and the Best: Improving the Discriminability of Face Embeddings through Attribute-aware Learning
Ana Dias, João Ribeiro Pinto, Hugo Proença +1
Despite recent advances in face recognition, robust performance remains challenging under large variations in age, pose, and occlusion. A common strategy to address these issues is…
cs.CV2026
SRL-MAD: Structured Residual Latents for One-Class Morphing Attack Detection
Diogo J. Paulo, Hugo Proença, João C. Neves
Face morphing attacks represent a significant threat to biometric systems as they allow multiple identities to be combined into a single face. While supervised morphing attack dete…