20 citations · 179 across the 97 of their papers we have counts for
11 papers · 2 filters
GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection
Yan Ju, Shan Jia, Jialing Cai +2
With the rapid development of deep generative models (such as Generative Adversarial Networks and Diffusion models), AI-synthesized images are now of such high quality that humans…
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting
Na Zhang, Shan Jia, Siwei Lyu +1
The vulnerability of face recognition systems to morphing attacks has posed a serious security threat due to the wide adoption of face biometrics in the real world. Most existing m…
Detection of Real-time DeepFakes in Video Conferencing with Active Probing and Corneal Reflection
Hui Guo, Xin Wang, Siwei Lyu
The COVID pandemic has led to the wide adoption of online video calls in recent years. However, the increasing reliance on video calls provides opportunities for new impersonation…
Uncertainty Aware Multitask Pyramid Vision Transformer For UAV-Based Object Re-Identification
Syeda Nyma Ferdous, Xin Li, Siwei Lyu
Object Re-IDentification (ReID), one of the most significant problems in biometrics and surveillance systems, has been extensively studied by image processing and computer vision c…
DFGC 2022: The Second DeepFake Game Competition
Bo Peng, Wei Xiang, Yue Jiang +5
This paper presents the summary report on our DFGC 2022 competition. The DeepFake is rapidly evolving, and realistic face-swaps are becoming more deceptive and difficult to detect.…
Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces
Hui Guo, Shu Hu, Xin Wang +2
AI-synthesized faces are visually challenging to discern from real ones. They have been used as profile images for fake social media accounts, which leads to high negative social i…
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems
Shu Hu, Chun-Hao Liu, Jayanta Dutta +3
Semi-supervised object detection methods are widely used in autonomous driving systems, where only a fraction of objects are labeled. To propagate information from the labeled obje…
Fusing Global and Local Features for Generalized AI-Synthesized Image Detection
Yan Ju, Shan Jia, Lipeng Ke +3
With the development of the Generative Adversarial Networks (GANs) and DeepFakes, AI-synthesized images are now of such high quality that humans can hardly distinguish them from re…
Model Attribution of Face-swap Deepfake Videos
Shan Jia, Xin Li, Siwei Lyu
AI-created face-swap videos, commonly known as Deepfakes, have attracted wide attention as powerful impersonation attacks. Existing research on Deepfakes mostly focuses on binary d…
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition
Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu
Graph Convolutional Networks (GCNs) have been widely used to model the high-order dynamic dependencies for skeleton-based action recognition. Most existing approaches do not explic…
GAN-generated Faces Detection: A Survey and New Perspectives
Xin Wang, Hui Guo, Shu Hu +2
Generative Adversarial Networks (GAN) have led to the generation of very realistic face images, which have been used in fake social media accounts and other disinformation matters…