23 citations · 25 across the 5 of their papers we have counts for
8 papers
ViTransPAD: Video Transformer using convolution and self-attention for Face Presentation Attack Detection
Zuheng Ming, Zitong Yu, Musab Al-Ghadi +3
Face Presentation Attack Detection (PAD) is an important measure to prevent spoof attacks for face biometric systems. Many works based on Convolution Neural Networks (CNNs) for fac…
Exploring Multi-Tasking Learning in Document Attribute Classification
Tanmoy Mondal, Abhijit Das, Zuheng Ming
In this work, we adhere to explore a Multi-Tasking learning (MTL) based network to perform document attribute classification such as the font type, font size, font emphasis and sca…
A Survey On Anti-Spoofing Methods For Face Recognition with RGB Cameras of Generic Consumer Devices
Zuheng Ming, Muriel Visani, Muhammad Muzzamil Luqman +1
The widespread deployment of face recognition-based biometric systems has made face Presentation Attack Detection (face anti-spoofing) an increasingly critical issue. This survey t…
Cross-modal Multi-task Learning for Graphic Recognition of Caricature Face
Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman
Face recognition of realistic visual images has been well studied and made a significant progress in the recent decade. Unlike the realistic visual images, the face recognition of…
Face Detection in Camera Captured Images of Identity Documents under Challenging Conditions
Souhail Bakkali, Zuheng Ming, Muhammad Muzzamil Luqman +1
Benefiting from the advance of deep convolutional neural network approaches (CNNs), many face detection algorithms have achieved state-of-the-art performance in terms of accuracy a…
Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition
Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman
Rather than the visual images, the face recognition of the caricatures is far from the performance of the visual images. The challenge is the extreme non-rigid distortions of the c…