In December 2019, a novel coronavirus (COVID-19) spread so quickly aroun...
This work summarizes the IJCB Occluded Face Recognition Competition 2022...
In this paper, we propose a neural end-to-end system for voice preservin...
Automatic detection of natural disasters and incidents has become more
i...
Exposure errors in an image cause a degradation in the contrast and low
...
Food recognition is an important task for a variety of applications,
inc...
Detecting fights from still images shared on social media is an importan...
Facial appearance variations due to occlusion has been one of the main
c...
Face anti-spoofing is essential to prevent false facial verification by ...
Portrait matting is an important research problem with a wide range of
a...
The COVID-19 pandemic affects every area of daily life globally. To avoi...
Converting text descriptions into images using Generative Adversarial
Ne...
In this paper, we explore the correlation between different visual biome...
Research on offline signature verification has explored a large variety ...
Vision-based action recognition is one of the most challenging research
...
Visible face recognition systems achieve nearly perfect recognition
accu...
State-of-the-art deep face recognition approaches report near perfect
pe...
In this paper, we present multimodal deep neural network frameworks for ...
Attribute guided face image synthesis aims to manipulate attributes on a...