This paper performs comprehensive analysis on datasets for occlusion-aware face
segmentation, a task that is crucial for many downstream applications. The collection and …

Recognition of degraded frontal face images acquired under occlusion constraints remain
challenging despite the plethora of reconstruction mechanisms. Though recent works have …

In this work, we introduce FaceXformer, an end-to-end unified transformer model for a
comprehensive range of facial analysis tasks such as face parsing, landmark detection …

Diffusion models achieve remarkable quality in image generation, but at a cost. Iterative
denoising requires many time steps to produce high fidelity images. We argue that the …

In this work, we explore Self-supervised Learning (SSL) as an auxiliary task to blend the
texture-based local descriptors into feature modelling for efficient face analysis. Combining a …

With the improvement of medical levels and the continuous improvement of people's living
standards, the demand for beauty by the general public is increasing. The plastic surgery …

Occlusion is a common occurrence in facial images and videos captured in the wild.
Effective face de-occlusion is of paramount importance for enhancing the robustness of user …

To address the problem of reduced face recognition accuracy in masked scenarios, this
paper proposes a masked face reconstruction algorithm DeMaskGAN, which uses the …

abstract Thermal degradation of acrylonitrile-butadiene rubber (NBR)-graphene oxide
(GO)/reduced graphene Oxide (G) composites (NBR-GO/G) was studied in air O2 (g) and …