3 citations · 5 across the 26 of their papers we have counts for
9 papers · 1 filter
Harnessing Vision-Language Models for Perceptual Quality Assessment and Autonomous Content Adjustment in Augmented Reality
Elias Rotondo, Lin Duan, Yanming Xiu +3
Advancements in augmented reality (AR) continue to foster innovative solutions, facilitating novel methodologies within educational systems, healthcare delivery, and risk-mitigatio…
FlexSplat: Flexible Feed-Forward 3D Gaussian Splatting without Point Cloud Correspondence
Amir Sabbaghziarani, Hanting Ye, Maria Gorlatova +1
We present FlexSplat, a feed-forward framework for novel view synthesis (NVS) from uncalibrated, object-centric multi-view image collections. A recent line of query-based methods r…
Real-Time Visual Obstruction Detection in Surgical Augmented Reality
Shih-Chin Yang, Yanming Xiu, Hanting Ye +3
Surgical augmented reality (AR) can provide contextual guidance by overlaying virtual annotations, tool cues, and procedural information onto the surgical workspace. However, the v…
Benchmarking Vision-Language Models under Contradictory Virtual Content Attacks in Augmented Reality
Yanming Xiu, Zhengyuan Jiang, Neil Zhenqiang Gong +1
Augmented reality (AR) has rapidly expanded over the past decade. As AR becomes increasingly integrated into daily life, its security and reliability emerge as critical challenges.…
User Prompting Strategies and Prompt Enhancement Methods for Open-Set Object Detection in XR Environments
Junfeng Lin, Yanming Xiu, Maria Gorlatova
Open-set object detection (OSOD) localizes objects while identifying and rejecting unknown classes at inference. While recent OSOD models perform well on benchmarks, their behavior…
A Neurosymbolic Framework for Interpretable Cognitive Attack Detection in Augmented Reality
Rongqian Chen, Allison Andreyev, Yanming Xiu +7
Augmented Reality (AR) enriches human perception by overlaying virtual elements onto the physical world. However, this tight coupling between virtual and real content makes AR vuln…
Detecting Visual Information Manipulation Attacks in Augmented Reality: A Multimodal Semantic Reasoning Approach
Yanming Xiu, Maria Gorlatova
The virtual content in augmented reality (AR) can introduce misleading or harmful information, leading to semantic misunderstandings or user errors. In this work, we focus on visua…
Advancing the Understanding and Evaluation of AR-Generated Scenes: When Vision-Language Models Shine and Stumble
Lin Duan, Yanming Xiu, Maria Gorlatova
Augmented Reality (AR) enhances the real world by integrating virtual content, yet ensuring the quality, usability, and safety of AR experiences presents significant challenges. Co…
ViDDAR: Vision Language Model-Based Task-Detrimental Content Detection for Augmented Reality
Yanming Xiu, Tim Scargill, Maria Gorlatova
In Augmented Reality (AR), virtual content enhances user experience by providing additional information. However, improperly positioned or designed virtual content can be detriment…