no code implementations • 22 Jun 2022 • Musab Al-Ghadi, Zuheng Ming, Petra Gomez-Krämer, Jean-Christophe Burie
In this work, these two steps are combined together to achieve two objectives: (i) extracted features should have good anticollision (discriminative) capabilities to distinguish between a pair of identity documents belonging to different classes, (ii) checking out the conformity of the guilloche pattern of a given identity document and its similarity to the guilloche pattern of an authentic version of the same country.
no code implementations • 3 Mar 2022 • Zuheng Ming, Zitong Yu, Musab Al-Ghadi, Muriel Visani, Muhammad MuzzamilLuqman, Jean-Christophe Burie
Instead of using coarse image patches with single-scale as in ViT, we propose the Multi-scale Multi-Head Self-Attention (MsMHSA) architecture to accommodate multi-scale patch partitions of Q, K, V feature maps to the heads of transformer in a coarse-to-fine manner, which enables to learn a fine-grained representation to perform pixel-level discrimination for face PAD.
no code implementations • 1 Jul 2021 • Konstantin Bulatov, Ekaterina Emelianova, Daniil Tropin, Natalya Skoryukina, Yulia Chernyshova, Alexander Sheshkus, Sergey Usilin, Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman, Vladimir V. Arlazarov
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 well as identity fraud prevention and document authenticity validation given photos, scans, or video frames of an identity document capture.
no code implementations • 8 Oct 2020 • Zuheng Ming, Muriel Visani, Muhammad Muzzamil Luqman, Jean-Christophe Burie
The widespread deployment of face recognition-based biometric systems has made face Presentation Attack Detection (face anti-spoofing) an increasingly critical issue.
no code implementations • 10 Mar 2020 • 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.
no code implementations • 8 Nov 2019 • Souhail Bakkali, Zuheng Ming, Muhammad Muzzamil Luqman, Jean-Christophe Burie
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 and very high speed in unconstrained applications.
1 code implementation • 8 Nov 2019 • 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.
1 code implementation • 8 Nov 2019 • Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman, Jean-Christophe Burie, Kaixing Zhao
This multi-task learning with dynamic weights also boosts of the performance on the different tasks comparing to the state-of-art methods with single-task learning.
Ranked #1 on Facial Expression Recognition (FER) on Oulu-CASIA
no code implementations • 1 Jul 2019 • Nibal Nayef, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie, Cheng-Lin Liu, Jean-Marc Ogier
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.
Cultural Vocal Bursts Intensity Prediction General Classification +2
no code implementations • 28 Feb 2019 • Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman, Jean-Christophe Burie, Kaixing Zhao
This paper proposes a holistic multi-task Convolutional Neural Networks (CNNs) with the dynamic weights of the tasks, namely FaceLiveNet+, for face authentication.