57 citations · 92 across the 10 of their papers we have counts for
11 papers · 1 filter
Video Transformer for Remote Identity Document Hologram Detection
Joris Voerman, Nicolas Sidere, Jean-Christophe Burie
Remote identity authentification using Identification Documents has been a major challenge for several years. DeepFakes advent and the development of AI-guided tools helps fraudste…
Identity Documents Authentication based on Forgery Detection of Guilloche Pattern
Musab Al-Ghadi, Zuheng Ming, Petra Gomez-Krämer +1
In cases such as digital enrolment via mobile and online services, identity document verification is critical in order to efficiently detect forgery and therefore build user trust…
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…
MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis
Konstantin Bulatov, Ekaterina Emelianova, Daniil Tropin +8
Identity documents recognition is an important sub-field of document analysis, which deals with tasks of robust document detection, type identification, text fields recognition, as…
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…
Dynamic Multi-Task Learning for Face Recognition with Facial Expression
Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman +2
Benefiting from the joint learning of the multiple tasks in the deep multi-task networks, many applications have shown the promising performance comparing to single-task learning.…
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition -- RRC-MLT-2019
Nibal Nayef, Yash Patel, Michal Busta +8
With the growing cosmopolitan culture of modern cities, the need of robust Multi-Lingual scene Text (MLT) detection and recognition systems has never been more immense. With the go…
FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks
Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman +2
This paper proposes a holistic multi-task Convolutional Neural Networks (CNNs) with the dynamic weights of the tasks,namely FaceLiveNet+, for face authentication. FaceLiveNet+ can…