papers

Publications (10)

cs.CV2024

Exposing Text-Image Inconsistency Using Diffusion Models

Mingzhen Huang, Shan Jia, Zhou Zhou +3

In the battle against widespread online misinformation, a growing problem is text-image inconsistency, where images are misleadingly paired with texts with different intent or mean…

cs.CV2023

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…

cond-mat.dis-nn2013

Coupling-Matrix Approach to the Chern Number Calculation in Disordered Systems

Y. F. Zhang, Y. Y. Yang, Yan Ju +4

The Chern number is often used to distinguish between different topological phases of matter in two-dimensional electron systems. A fast and efficient coupling-matrix method is des…

cs.CV2022

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.CV2018

Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification

Yan Ju, Lingling Li, Licheng Jiao +3

Due to the limited amount and imbalanced classes of labeled training data, the conventional supervised learning can not ensure the discrimination of the learned feature for hypersp…

cs.CV2023

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…