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Found 4 papers, 1 papers with code
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
In this work, we propose the first precise hand-object reconstruction method in hyperbolic space, namely Dynamic Hyperbolic Attention Network (DHANet), which leverages intrinsic properties of hyperbolic space to learn representative features.
Rethinking the compositionality of point clouds through regularization in the hyperbolic space
In this paper, we propose to embed the features of a point cloud classifier into the hyperbolic space and explicitly regularize the space to account for the part-whole hierarchy.
Ranked #10 on
3D Point Cloud Classification
on ModelNet40
Exploring the solution space of linear inverse problems with GAN latent geometry
Inverse problems consist in reconstructing signals from incomplete sets of measurements and their performance is highly dependent on the quality of the prior knowledge encoded via regularization.
Semi-supervised learning for joint SAR and multispectral land cover classification
Semi-supervised learning techniques are gaining popularity due to their capability of building models that are effective, even when scarce amounts of labeled data are available.
