1.8k citations · 3.5k across the 130 of their papers we have counts for
15 papers · 1 filter
BodyFormer: Semantics-guided 3D Body Gesture Synthesis with Transformer
Kunkun Pang, Dafei Qin, Yingruo Fan +4
Automatic gesture synthesis from speech is a topic that has attracted researchers for applications in remote communication, video games and Metaverse. Learning the mapping between…
Analysis of Master Vein Attacks on Finger Vein Recognition Systems
Huy H. Nguyen, Trung-Nghia Le, Junichi Yamagishi +1
Finger vein recognition (FVR) systems have been commercially used, especially in ATMs, for customer verification. Thus, it is essential to measure their robustness against various…
Robust Deepfake On Unrestricted Media: Generation And Detection
Trung-Nghia Le, Huy H Nguyen, Junichi Yamagishi +1
Recent advances in deep learning have led to substantial improvements in deepfake generation, resulting in fake media with a more realistic appearance. Although deepfake media have…
Effectiveness of Detection-based and Regression-based Approaches for Estimating Mask-Wearing Ratio
Khanh-Duy Nguyen, Huy H. Nguyen, Trung-Nghia Le +2
Estimating the mask-wearing ratio in public places is important as it enables health authorities to promptly analyze and implement policies. Methods for estimating the mask-wearing…
Master Face Attacks on Face Recognition Systems
Huy H. Nguyen, Sébastien Marcel, Junichi Yamagishi +1
Face authentication is now widely used, especially on mobile devices, rather than authentication using a personal identification number or an unlock pattern, due to its convenience…
OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild
Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi +1
The proliferation of deepfake media is raising concerns among the public and relevant authorities. It has become essential to develop countermeasures against forged faces in social…
Fashion-Guided Adversarial Attack on Person Segmentation
Marc Treu, Trung-Nghia Le, Huy H. Nguyen +2
This paper presents the first adversarial example based method for attacking human instance segmentation networks, namely person segmentation networks in short, which are harder to…
Generating Master Faces for Use in Performing Wolf Attacks on Face Recognition Systems
Huy H. Nguyen, Junichi Yamagishi, Isao Echizen +1
Due to its convenience, biometric authentication, especial face authentication, has become increasingly mainstream and thus is now a prime target for attackers. Presentation attack…
A Method for Identifying Origin of Digital Images Using a Convolution Neural Network
Rong Huang, Fuming Fang, Huy H. Nguyen +2
The rapid development of deep learning techniques has created new challenges in identifying the origin of digital images because generative adversarial networks and variational aut…
Security of Facial Forensics Models Against Adversarial Attacks
Rong Huang, Fuming Fang, Huy H. Nguyen +2
Deep neural networks (DNNs) have been used in digital forensics to identify fake facial images. We investigated several DNN-based forgery forensics models (FFMs) to examine whether…
Use of a Capsule Network to Detect Fake Images and Videos
Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
The revolution in computer hardware, especially in graphics processing units and tensor processing units, has enabled significant advances in computer graphics and artificial intel…
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos
Huy H. Nguyen, Fuming Fang, Junichi Yamagishi +1
Detecting manipulated images and videos is an important topic in digital media forensics. Most detection methods use binary classification to determine the probability of a query b…
Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos
Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
Recent advances in media generation techniques have made it easier for attackers to create forged images and videos. State-of-the-art methods enable the real-time creation of a for…
MesoNet: a Compact Facial Video Forgery Detection Network
Darius Afchar, Vincent Nozick, Junichi Yamagishi +1
This paper presents a method to automatically and efficiently detect face tampering in videos, and particularly focuses on two recent techniques used to generate hyper-realistic fo…
Transformation on Computer-Generated Facial Image to Avoid Detection by Spoofing Detector
Huy H. Nguyen, Ngoc-Dung T. Tieu, Hoang-Quoc Nguyen-Son +2
Making computer-generated (CG) images more difficult to detect is an interesting problem in computer graphics and security. While most approaches focus on the image rendering phase…