arXiv Computer Vision
StickFigure: Enabling Pose-Only IoT Cameras for Privacy-Preserving Edge Vision
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Edge AI on Constrained Devices for Binary Sleep-Wake Classification in Dynamic Environments
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arXiv AI
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OpenGlass: A Sensing-Computing Split Architecture for Local MLLM-Driven Real-Time Visual Assistance
arXiv:2607. 03213v1 Announce Type: cross Abstract: We present OpenGlass, an open-source, privacy-oriented, local-first system for low-latency multimodal visual assistance, with a primary focus on blind and low-vision users.
arXiv Computer Vision
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S$^2$GS: Structured Sparse Gaussian Streaming for Efficient Free-Viewpoint Video Reconstruction on Edge-IoT Devices
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arXiv Computer Vision
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EgoKit: Towards Unified Low-Cost Egocentric Data Collection with Heterogeneous Devices
EgoKit is a toolkit that standardizes egocentric video recording across six different host devices, providing a uniform recording workflow and log format. It supports synchronized ego-view and wrist-view capture, and on XR headsets it logs head pose and hand tracking aligned to the video. The toolkit includes accessories such as wrist cameras, a head strap, and a USB-C hub, enabling wrist-view capture without custom hardware, and has been validated to train robot policies comparable to those trained on other datasets.
arXiv Computer Vision
Sep 22
STA-TFM: Spatio-Temporal Aggregation Across Views TransForMer for Pose Estimation
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S$^2$GS: Structured Sparse Gaussian Streaming for Efficient Free-Viewpoint Video Reconstruction on Edge-IoT Devices
Streaming reconstruction of Free-Viewpoint Videos (FVVs) supports immersive Internet of Things (IoT) services, such as telepresence and digital twin visualization. Existing methods suffer from high per-frame optimization time and large storage footprints, limiting deployment on resource-constrained Edge-IoT devices.