4 citations · 5 across the 7 of their papers we have counts for
7 papers
Attribution-Guided Multimodal Deepfake Detection via Cross-Modal Forensic Fingerprints
Wasim Ahmad, Wei Zhang, Xuerui Mao
Audio-visual deepfakes have reached a level of realism that makes perceptual detection unreliable, threatening media integrity and biometric security. While multimodal detection ha…
RS-TinyNet: Stage-wise Feature Fusion Network for Detecting Tiny Objects in Remote Sensing Images
Xiaozheng Jiang, Wei Zhang, Xuerui Mao
Detecting tiny objects in remote sensing (RS) imagery has been a long-standing challenge due to their extremely limited spatial information, weak feature representations, and dense…
UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers
Wei Zhang, Yuantao Wang, Haowei Yang +3
Real-world object detection is a challenging task where the captured images/videos often suffer from complex degradations due to various adverse weather conditions such as rain, fo…
EarthGPT-X: A Spatial MLLM for Multi-level Multi-Source Remote Sensing Imagery Understanding with Visual Prompting
Wei Zhang, Miaoxin Cai, Yaqian Ning +6
Recent advances in natural-domain multi-modal large language models (MLLMs) have demonstrated effective spatial reasoning through visual and textual prompting. However, their direc…
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
Wei Zhang, Miaoxin Cai, Tong Zhang +3
Recent advances in prompt learning have allowed users to interact with artificial intelligence (AI) tools in multi-turn dialogue, enabling an interactive understanding of images. H…
Popeye: A Unified Visual-Language Model for Multi-Source Ship Detection from Remote Sensing Imagery
Wei Zhang, Miaoxin Cai, Tong Zhang +3
Ship detection needs to identify ship locations from remote sensing (RS) scenes. Due to different imaging payloads, various appearances of ships, and complicated background interfe…
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain
Wei Zhang, Miaoxin Cai, Tong Zhang +2
Multi-modal large language models (MLLMs) have demonstrated remarkable success in vision and visual-language tasks within the natural image domain. Owing to the significant diversi…