Transformer first appears in the field of natural language processing an...
Recent advancements in vision backbones have significantly improved thei...
Vision Transformers (ViTs) have been shown to be effective in various vi...
Vision transformer has achieved impressive performance for many vision t...
Occluded person re-identification (Re-ID), the task of searching for the...
Most modern face completion approaches adopt an autoencoder or its varia...
As an upstream task of iris recognition, iris segmentation plays a vital...
Identity transfer often faces the challenge of generalizing to new situa...
Blind face restoration (BFR) is a challenging problem because of the
unc...
Most deep learning based image inpainting approaches adopt autoencoder o...
Heterogeneous Face Recognition (HFR) refers to matching cross-domain fac...
Face verification aims at determining whether a pair of face images belo...
The performance of multi-domain image-to-image translation has been
sign...
Real-world image super-resolution is a challenging image translation pro...
Near-infrared-visible (NIR-VIS) heterogeneous face recognition matches N...
Despite that the performance of image-to-image translation has been
sign...
Conventional methods for facial age analysis tend to utilize accurate ag...
Heterogeneous Face Recognition (HFR) is a challenging issue because of t...
Facial attribute analysis has received considerable attention with the
d...
Given an arbitrary speech clip and a facial image, talking face generati...
Visible (VIS) to near infrared (NIR) face matching is a challenging prob...
We present a novel introspective variational autoencoder (IntroVAE) mode...
A capsule is a group of neurons whose activity vector models different
p...