651 research outputs found
Planning of Cellular Networks Enhanced by Energy Harvesting
We pose a novel cellular network planning problem, considering the use of
renewable energy sources and a fundamentally new concept of energy balancing,
and propose a novel algorithm to solve it. In terms of the network capital and
operational expenditure, we conclude that savings can be made by enriching
cellular infrastructure with energy harvesting sources, in comparison to
traditional deployment methods.Comment: accepted to IEEE Communications Letters [source code available
Reconstructing prehistoric land use change from archeological data: validation and application of a new model in Yiluo valley, northern China
High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference
We propose a data-driven method for recovering miss-ing parts of 3D shapes.
Our method is based on a new deep learning architecture consisting of two
sub-networks: a global structure inference network and a local geometry
refinement network. The global structure inference network incorporates a long
short-term memorized context fusion module (LSTM-CF) that infers the global
structure of the shape based on multi-view depth information provided as part
of the input. It also includes a 3D fully convolutional (3DFCN) module that
further enriches the global structure representation according to volumetric
information in the input. Under the guidance of the global structure network,
the local geometry refinement network takes as input lo-cal 3D patches around
missing regions, and progressively produces a high-resolution, complete surface
through a volumetric encoder-decoder architecture. Our method jointly trains
the global structure inference and local geometry refinement networks in an
end-to-end manner. We perform qualitative and quantitative evaluations on six
object categories, demonstrating that our method outperforms existing
state-of-the-art work on shape completion.Comment: 8 pages paper, 11 pages supplementary material, ICCV spotlight pape
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