Yanming Xiu

Computer Science · Physical Sciences

3h-index18citations19works0.92yr avg
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Research Topics

Augmented Reality Applications(7), Virtual Reality Applications and Impacts(5), Multimodal Machine Learning Applications(5), 3D Surveying and Cultural Heritage(3), Robotics and Automated Systems(3)

Publications19 total

User Prompting Strategies and Prompt Enhancement Methods for Open-Set Object Detection in XR Environments
arXiv (Cornell University)·2026Open Access
User Prompting Strategies and Prompt Enhancement Methods for Open-Set Object Detection in XR Environments
ArXiv.org·2026Open Access
Can a Unimodal Language Agent Provide Preferences to Tune a Multimodal Vision-Language Model?
arXiv (Cornell University)·2026Open Access
Can a Unimodal Language Agent Provide Preferences to Tune a Multimodal Vision-Language Model?
ArXiv.org·2026Open Access
Demonstrating Visual Information Manipulation Attacks in Augmented Reality: A Hands-On Miniature City-Based Setup
2025Open Access
Probing the Augmented Reality Scene Analysis Capabilities of Large Multimodal Models: Toward Reliable Real-Time Assessment Solutions
IEEE Internet Computing·2025
Detecting Visual Information Manipulation Attacks in Augmented Reality: A Multimodal Semantic Reasoning Approach
IEEE Transactions on Visualization and Computer Graphics·2025· 2 cited
Toward Safe, Trustworthy and Realistic Augmented Reality User Experience
2025
Say It, See It: A Systematic Evaluation on Speech-Based 3D Content Generation Methods in Augmented Reality
2025
Demonstrating Visual Information Manipulation Attacks in Augmented Reality: A Hands-On Miniature City-Based Setup
arXiv (Cornell University)·2025Open Access
Say It, See It: A Systematic Evaluation on Speech-Based 3D Content Generation Methods in Augmented Reality
arXiv (Cornell University)·2025Open Access
Toward Safe, Trustworthy and Realistic Augmented Reality User Experience
arXiv (Cornell University)·2025Open Access
Detecting Visual Information Manipulation Attacks in Augmented Reality: A Multimodal Semantic Reasoning Approach
arXiv (Cornell University)·2025Open Access
ViDDAR: Vision Language Model-Based Task-Detrimental Content Detection for Augmented Reality
IEEE Transactions on Visualization and Computer Graphics·2025· 7 cited
Advancing the Understanding and Evaluation of AR-Generated Scenes: When Vision-Language Models Shine and Stumble
2025· 4 cited
Vision Language Model-Based Solution for Obstruction Attack in AR: A Meta Quest 3 Implementation
2025· 2 cited
ViDDAR: Vision Language Model-Based Task-Detrimental Content Detection for Augmented Reality
arXiv (Cornell University)·2025Open Access
Advancing the Understanding and Evaluation of AR-Generated Scenes: When Vision-Language Models Shine and Stumble
arXiv (Cornell University)·2025Open Access
LOBSTAR: Language Model-based Obstruction Detection for Augmented Reality
2024· 3 cited

Frequent Co-authors

Maria Gorlatova(17), Tim Scargill(3), Lin Duan(3), Junfeng Lin(2), Sazia Tabasum Mim(2), J. Morris(2), Manish Dhakal(2), Yi Ding(2), Sabyasachi Sen(2), Joshua Chilukuri(1), Elias Rotondo(1), Sangjun Eom(1), Ryan Chen(1), Conrad Li(1), Yongyun Hu(1), Joshua Chilukuri(1)