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03/06/2023
Histogram-based Deep Learning for Automotive Radar
There are various automotive applications that rely on correctly interpr...
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04/01/2021
Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors
Single-view 3D object reconstruction has seen much progress, yet methods...
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12/11/2019
Parting with Illusions about Deep Active Learning
Active learning aims to reduce the high labeling cost involved in traini...
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10/17/2019
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics
We present a convolutional neural network for joint 3D shape prediction ...
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08/15/2019
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency
The ability to understand visual information from limited labeled data i...
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05/09/2019
What Do Single-view 3D Reconstruction Networks Learn?
Convolutional networks for single-view object reconstruction have shown ...
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07/06/2018
Tangent Convolutions for Dense Prediction in 3D
We present an approach to semantic scene analysis using deep convolution...
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03/28/2017
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
We present a deep convolutional decoder architecture that can generate v...
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11/21/2014