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Harryson Yumnam

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#edge computing Open access Sep 2026

Dioptra: An Ultra-Lightweight Geometry-Aware Architecture for Monocular Metric Depth on Edge Devices

Dense metric depth estimation from a single image is crucial for autonomous robotic navigation and spatial computing. However, recent foundation models increasingly rely on heavy vision transformers (>300 M parameters) and massive pre-training, making edge deployment on memory-constrained devices challenging. We presen...

Harryson Yumnam · 0 citations
#edge computing Open access Sep 2026

Dioptra: An Ultra-Lightweight Geometry-Aware Architecture for Monocular Metric Depth on Edge Devices

Dense metric depth estimation from a single image is crucial for autonomous robotic navigation and spatial computing. However, recent foundation models increasingly rely on heavy vision transformers (>300 M parameters) and massive pre-training, making edge deployment on memory-constrained devices challenging. We presen...

Harryson Yumnam · 0 citations

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