57 citations · 96 across the 17 of their papers we have counts for
17 papers · 1 filter
GARO: Geometry-Aware Redundancy Optimization for Real-Time and High-Fidelity Dynamic Gaussian Splatting
Huiwen Xue, Kaixing Zhao, Zuheng Ming +1
Novel view synthesis is a key task for dynamic scene reconstruction, where high rendering speed is essential for applications such as virtual reality. Existing deformable Gaussian…
CT-DegradBench: A Physics-Informed Benchmark for CT Degradation Detection and Severity Estimation
Yousra Nabila Taifour, Marouane Tliba, Zuheng Ming +9
Computed tomography (CT) images are frequently degraded by acquisition artifacts, including noise, blur, streaking, aliasing, and metal artifacts. Yet CT enhancement is still large…
Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing Images
Bissmella Bahaduri, Zuheng Ming, Fangchen Feng +1
Object detection in Remote Sensing Images (RSI) is a critical task for numerous applications in Earth Observation (EO). Differing from object detection in natural images, object de…
GlobalDoc: A Cross-Modal Vision-Language Framework for Real-World Document Image Retrieval and Classification
Souhail Bakkali, Sanket Biswas, Zuheng Ming +4
Visual document understanding (VDU) has rapidly advanced with the development of powerful multi-modal language models. However, these models typically require extensive document pr…
EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification
Souhail Bakkali, Ziheng Ming, Mickael Coustaty +1
In the recent past, complex deep neural networks have received huge interest in various document understanding tasks such as document image classification and document retrieval. A…
MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification
Bo Zhang, Zuheng Ming, Wei Feng +3
To benefit the complementary information between heterogeneous data, we introduce a new Multimodal Transformer (MMFormer) for Remote Sensing (RS) image classification using Hypersp…
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…
VLCDoC: Vision-Language Contrastive Pre-Training Model for Cross-Modal Document Classification
Souhail Bakkali, Zuheng Ming, Mickael Coustaty +2
Multimodal learning from document data has achieved great success lately as it allows to pre-train semantically meaningful features as a prior into a learnable downstream task. In…
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…
Exploring Multi-Tasking Learning in Document Attribute Classification
Tanmoy Mondal, Abhijit Das, Zuheng Ming
In this work, we adhere to explore a Multi-Tasking learning (MTL) based network to perform document attribute classification such as the font type, font size, font emphasis and sca…
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.…
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…