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Found 2 papers, 1 papers with code
Hyperbolic Deep Neural Networks: A Survey
Recently, there has been a rising surge of momentum for deep representation learning in hyperbolic spaces due to theirhigh capacity of modeling data like knowledge graphs or synonym hierarchies, possessing hierarchical structure.
Learning non-rigid surface reconstruction from spatio-temporal image patches
We present a method to reconstruct a dense spatio-temporal depth map of a non-rigidly deformable object directly from a video sequence.
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