4 papers
Evaluating the resolution of AI-based accelerated MR reconstruction using a deep learning-based model observer
Zitong Yu, Rongping Zeng, Frank Samuelson +1
Deep Learning-based Model Observers (DLMOs) were developed to evaluate a multi-coil sensitivity encoding parallel MRI at different acceleration factors on the Rayleigh discriminati…
MViR: Multi-View Visual-Semantic Representation for Fake News Detection
Haochen Liang, Xinqi Su, Jun Wang +2
With the rise of online social networks, detecting fake news accurately is essential for a healthy online environment. While existing methods have advanced multimodal fake news det…
Learning Representation and Synergy Invariances: A Povable Framework for Generalized Multimodal Face Anti-Spoofing
Xun Lin, Shuai Wang, Yi Yu +6
Multimodal Face Anti-Spoofing (FAS) methods, which integrate multiple visual modalities, often suffer even more severe performance degradation than unimodal FAS when deployed in un…
SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models
Yichen Shi, Yuhao Gao, Yingxin Lai +7
Multimodal large language models (MLLMs) have demonstrated strong capabilities in vision-related tasks, capitalizing on their visual semantic comprehension and reasoning capabiliti…