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A neural network for real-time 6D object pose tracking in video using RGB-D data, trained only on synthetic images.
A real-time RGB-based pipeline for object detection and 6D pose estimation using a denoising autoencoder trained on simulated 3D views.
A real-time object-level reconstruction system for 6D pose estimation using volumetric fusion and multi-object reasoning.
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