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20192025
most citedDynamic Multi-Task Learning for Face Recognition with Facial Expression

23 citations · 25 across the 5 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

Evaluating the Impact of Khmer Font Types on Text Recognition

Vannkinh Nom, Souhail Bakkali, Muhammad Muzzamil Luqman +2

Text recognition is significantly influenced by font types, especially for complex scripts like Khmer. The variety of Khmer fonts, each with its unique character structure, present…

cs.CV2024

KhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark

Vannkinh Nom, Souhail Bakkali, Muhammad Muzzamil Luqman +2

Developing effective scene text detection and recognition models hinges on extensive training data, which can be both laborious and costly to obtain, especially for low-resourced l…

cs.CV20221 cited

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…

cs.CV2020

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…

cs.CV2020

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…

cs.CV2019

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…