3 Result(s)
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Article
Rudolph Triebel
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Article
Open AccessA survey of uncertainty in deep neural networks
Over the last decade, neural networks have reached almost every field of science and become a crucial part of various real world applications. Due to the increasing spread, confidence in neural network predict...
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Article
Open AccessSRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
Region-based methods have become increasingly popular for model-based, monocular 3D tracking of texture-less objects in cluttered scenes. However, while they achieve state-of-the-art results, most methods are ...
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Article
Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection
We propose a real-time RGB-based pipeline for object detection and 6D pose estimation. Our novel 3D orientation estimation is based on a variant of the Denoising Autoencoder that is trained on simulated views ...
