6 papers
S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language Models
Nitish Shukla, Surgan Jandial, Arun Ross
Vision-Language Models (VLMs) have demonstrated remarkable progress in single-image understanding, yet effective reasoning across multiple images remains challenging. We identify a…
On pluricanonical locally conformally almost Kähler metrics
Ethan Addison, Tedi Draghici, Mehdi Lejmi
On an almost complex manifold , a pluricanonical locally conformally almost Kähler (LCAK) metric is induced by a locally conformally symplectic structure of the…
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…
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…
dc-GAN: Dual-Conditioned GAN for Face Demorphing From a Single Morph
Nitish Shukla, Arun Ross
A facial morph is an image strategically created by combining two face images pertaining to two distinct identities. The goal is to create a face image that can be matched to two d…