Search Results for author: Muhammad Muzzamil Luqman

Found 7 papers, 2 papers with code

MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis

no code implementations1 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.

Face Detection

A Survey On Anti-Spoofing Methods For Face Recognition with RGB Cameras of Generic Consumer Devices

no code implementations8 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.

Face Anti-Spoofing Face Presentation Attack Detection +1

Cross-modal Multi-task Learning for Graphic Recognition of Caricature Face

no code implementations10 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.

Caricature Face Recognition +1

Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition

1 code implementation8 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.

Caricature Face Recognition +1

Dynamic Multi-Task Learning for Face Recognition with Facial Expression

1 code implementation8 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.

Face Recognition Face Verification +3

Face Detection in Camera Captured Images of Identity Documents under Challenging Conditions

no code implementations8 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.

Face Detection

FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks

no code implementations28 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.

Face Verification Facial Expression Recognition +2

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