activity
20202024
most citedAI-Synthesized Voice Detection Using Neural Vocoder Artifacts

4 citations · 23 across the 15 of their papers we have counts for

collaborators
Showing cs.CVShow all

12 papers · 1 filter

cs.CV2024

Exposing Lip-syncing Deepfakes from Mouth Inconsistencies

Soumyya Kanti Datta, Shan Jia, Siwei Lyu

A lip-syncing deepfake is a digitally manipulated video in which a person's lip movements are created convincingly using AI models to match altered or entirely new audio. Lip-synci…

cs.CV2023★ 3 cited

Integrating Audio-Visual Features for Multimodal Deepfake Detection

Sneha Muppalla, Shan Jia, Siwei Lyu

Deepfakes are AI-generated media in which an image or video has been digitally modified. The advancements made in deepfake technology have led to privacy and security issues. Most…

cs.CV2023★ 3 cited

Improving Fairness in Deepfake Detection

Yan Ju, Shu Hu, Shan Jia +2

Despite the development of effective deepfake detectors in recent years, recent studies have demonstrated that biases in the data used to train these detectors can lead to disparit…

cs.CV2023

UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery

Chuanbo Hu, Shan Jia, Fan Zhang +4

Urban Physical Disorder (UPD), such as old or abandoned buildings, broken sidewalks, litter, and graffiti, has a negative impact on residents' quality of life. They can also increa…

cs.CV2023★ 2 cited

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

Shan Jia, Mingzhen Huang, Zhou Zhou +3

Recent advancements in language-image models have led to the development of highly realistic images that can be generated from textual descriptions. However, the increased visual q…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 2 cited

Joint Learning of Deep Texture and High-Frequency Features for Computer-Generated Image Detection

Qiang Xu, Shan Jia, Xinghao Jiang +3

Distinguishing between computer-generated (CG) and natural photographic (PG) images is of great importance to verify the authenticity and originality of digital images. However, th…

cs.CV2022★ 2 cited

A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfinding

Chuanbo Hu, Shan Jia, Fan Zhang +1

Global Positioning Systems (GPS) have played a crucial role in various navigation applications. Nevertheless, localizing the perfect destination within the last few meters remains…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 1 cited

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…

cs.CV2020★ 1 cited

Detection of Genuine and Posed Facial Expressions of Emotion: A Review

Shan Jia, Shuo Wang, Chuanbo Hu +2

Facial expressions of emotion play an important role in human social interactions. However, posed acting is not always the same as genuine feeling. Therefore, the credibility asses…