1 citations · 1 across the 6 of their papers we have counts for
7 papers
Harnessing CLIP and DINO: An Uncertainty-Aware Cascaded Fusion Network for Generalizable Deepfake Image Detection
Xuechao Zou, Yi Zhou, Kai Li +4
The growing realism and accessibility of manipulated and generated faces threaten the trustworthiness of digital media. To detect such forgeries, deepfake detectors based on vision…
Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection
Xuechao Zou, Shun Zhang, Kai Li +6
The malicious use of generative artificial intelligence to create highly realistic deepfake videos raises serious ethical concerns and poses substantial challenges to AI safety. Ho…
Toward Stable Semi-Supervised Remote Sensing Segmentation via Co-Guidance and Co-Fusion
Yi Zhou, Xuechao Zou, Shun Zhang +7
Semi-supervised remote sensing (RS) image semantic segmentation offers a promising solution to alleviate the burden of exhaustive annotation, yet it fundamentally struggles with ps…
Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation
Xuechao Zou, Shun Zhang, Xing Fu +6
Controllable face generation poses critical challenges in generative modeling due to the intricate balance required between semantic controllability and photorealism. While existin…
Dynamic Dictionary Learning for Remote Sensing Image Segmentation
Xuechao Zou, Yue Li, Shun Zhang +5
Remote sensing image segmentation faces persistent challenges in distinguishing morphologically similar categories and adapting to diverse scene variations. While existing methods…
Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image Segmentation
Shun Zhang, Xuechao Zou, Kai Li +4
Fine-grained remote sensing image segmentation is essential for accurately identifying detailed objects in remote sensing images. Recently, vision transformer models (VTMs) pre-tra…
Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images
Xuechao Zou, Shun Zhang, Kai Li +5
Cloud segmentation is a critical challenge in remote sensing image interpretation, as its accuracy directly impacts the effectiveness of subsequent data processing and analysis. Re…