1 citations · 2 across the 13 of their papers we have counts for
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Facial Demorphing from a Single Morph Using a Latent Conditional GAN
Nitish Shukla, Arun Ross
A morph is created by combining two (or more) face images from two (or more) identities to create a composite image that is highly similar to all constituent identities, allowing t…
Benchmarking Foundation Models for Zero-Shot Biometric Tasks
Redwan Sony, Parisa Farmanifard, Hamzeh Alzwairy +2
The advent of foundation models, particularly Vision-Language Models (VLMs) and Multi-modal Large Language Models (MLLMs), has redefined the frontiers of artificial intelligence, e…
diffDemorph: Extending Reference-Free Demorphing to Unseen Faces
Nitish Shukla, Arun Ross
A face morph is created by combining two face images corresponding to two identities to produce a composite that successfully matches both the constituent identities. Reference-fre…
Metric for Evaluating Performance of Reference-Free Demorphing Methods
Nitish Shukla, Arun Ross
A facial morph is an image created by combining two (or more) face images pertaining to two (or more) distinct identities. Reference-free face demorphing inverts the process and tr…