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Home/Authors/Pan Hu

Pan Hu

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

AI×2Multimedia×1HCI×1Vision×1NLP×1Crypto×1ML×1

Frequent co-authors

Pan Hui2×
Yawei Zhao1×
Yuming Zhu1×
Hao Li1×
Yuqi Liang1×
Ao Yu1×

Research Timeline

2026
ADR: An Agentic Detection System for Enterprise Agentic AI Security

The paper introduces ADR, a novel, production-proven detection system that provides high-fidelity security monitoring for AI agents operating via the Model Context Protocol, significantly outperforming existing state-of-the-art baselines.

SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes

The paper introduces SpatialAct, a challenging benchmark that reveals a significant 'reasoning-to-action gap,' showing that current VLMs struggle to maintain coherent spatial understanding and perform reliable actions in multi-turn 3D environments.

Toward Site-Aware MR Art Exhibitions: A SLAM-Based Deployment Pipeline for Spatial Coherence and Exhibition Experience

This paper presents a practical pipeline for designing and deploying large-scale Mixed Reality art exhibitions using SLAM-based alignment, and evaluates its impact on technical stability and user experience.

Highlighted terms show continued research focus across papers

Papers

cs.MMcs.HCEmpiricalRecentJul 20, 2026

Toward Site-Aware MR Art Exhibitions: A SLAM-Based Deployment Pipeline for Spatial Coherence and Exhibition Experience

Yawei Zhao, Yuming Zhu, Hao Li, Yuqi Liang +3 more

This paper presents a practical pipeline for designing and deploying large-scale Mixed Reality art exhibitions using SLAM-based alignment, and evaluates its impact on technical stability and user expe…

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cs.CVcs.AIcs.CLRecent
May 29, 2026

SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes

Tianhui Liu, Jie Feng, Zhiheng Zheng, Shengyuan Wang +5 more

The paper introduces SpatialAct, a challenging benchmark that reveals a significant 'reasoning-to-action gap,' showing that current VLMs struggle to maintain coherent spatial understanding and perform…

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cs.AIcs.CRcs.LGRecentMay 17, 2026

ADR: An Agentic Detection System for Enterprise Agentic AI Security

Chenning Li, Pan Hu, Justin Xu, Baris Ozbas +8 more

The paper introduces ADR, a novel, production-proven detection system that provides high-fidelity security monitoring for AI agents operating via the Model Context Protocol, significantly outperformin…

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