SemanticXR introduces the first device-cloud system for real-time open-vocabulary semantic mapping and querying that organizes work around semantically identifiable objects to meet XR power, bandwidth, and memory limits.
In2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)
9 Pith papers cite this work. Polarity classification is still indexing.
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XR Blocks supplies an LLM-optimized Reality Model and Vibe Coding XR workflow that converts high-level prompts into working physics-aware XR applications with high one-shot success.
Under high perceptual load, routing brief probes to the channel with higher HeadRoom-estimated availability cuts response time versus the less available channel.
GS-NFS accelerates dynamic 3DGS encoding and decoding by 1-2 orders of magnitude on GPU while maintaining competitive compression ratios and rendering quality.
ErgoGlide is a finger-worn trackball paired with a hive-like virtual keyboard that improves typing accuracy, ergonomics, and usability in VR per three user studies, with speed gains after training.
Autark is a serverless toolkit that enables rapid prototyping of urban visual analytics systems via domain-aware abstractions and supports more reliable LLM-assisted coding.
XARP provides a WebSocket-based remote-procedure system that lets Python code and AI agents control Unity XR clients, with benchmarks and user studies showing faster iteration than conventional XR workflows.
This is the first comprehensive survey of OOD generalization methodologies for time series, organized across data distribution, representation learning, and OOD evaluation.
Head- and eye-based pointing outperform hand-based methods for AR 2D selection across depths, with head remaining most accurate and consistent.
citing papers explorer
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SemanticXR: Low Power and Real-time Queryable Semantic Mapping with an Object-Level Device-Cloud Architecture
SemanticXR introduces the first device-cloud system for real-time open-vocabulary semantic mapping and querying that organizes work around semantically identifiable objects to meet XR power, bandwidth, and memory limits.
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Vibe Coding XR: Accelerating AI + XR Prototyping with XR Blocks and Gemini
XR Blocks supplies an LLM-optimized Reality Model and Vibe Coding XR workflow that converts high-level prompts into working physics-aware XR applications with high one-shot success.
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HeadRoom: Lightweight, Edge-deployable Pipeline for Adaptive Notification Routing
Under high perceptual load, routing brief probes to the channel with higher HeadRoom-estimated availability cuts response time versus the less available channel.
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GS-NFS: Bandwidth-adaptive Streaming of Dynamic Gaussian Splats and Point Clouds
GS-NFS accelerates dynamic 3DGS encoding and decoding by 1-2 orders of magnitude on GPU while maintaining competitive compression ratios and rendering quality.
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ErgoGlide: A Wearable Trackball Device for Ergonomic Text Entry in Virtual Reality
ErgoGlide is a finger-worn trackball paired with a hive-like virtual keyboard that improves typing accuracy, ergonomics, and usability in VR per three user studies, with speed gains after training.
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Autark: A Serverless Toolkit for Prototyping Urban Visual Analytics Systems
Autark is a serverless toolkit that enables rapid prototyping of urban visual analytics systems via domain-aware abstractions and supports more reliable LLM-assisted coding.
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XARP Tools: An Extended Reality Platform for Humans and AI Agents
XARP provides a WebSocket-based remote-procedure system that lets Python code and AI agents control Unity XR clients, with benchmarks and user studies showing faster iteration than conventional XR workflows.
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Out-of-Distribution Generalization in Time Series: A Survey
This is the first comprehensive survey of OOD generalization methodologies for time series, organized across data distribution, representation learning, and OOD evaluation.
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Comparing Controller-Free Pointing Techniques Across Depth for 2D Selection in Augmented Reality
Head- and eye-based pointing outperform hand-based methods for AR 2D selection across depths, with head remaining most accurate and consistent.