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20192026
most citedMIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis

57 citations · 92 across the 10 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

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…

cs.CV2019

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…

cs.CV2019★ 23 cited

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.…

cs.CV2019★ 2 cited

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…

cs.CV2019★ 1 cited

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…