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Deep Extrinsic Manifold Representation for Vision Tasks
Non-Euclidean data is frequently encountered across different fields, yet there is limited literature that addresses the fundamental challenge of training neural networks with manifold representations as outputs.
rpcPRF: Generalizable MPI Neural Radiance Field for Satellite Camera
Unlike coordinate-based neural radiance fields in need of sufficient views of one scene, our model is applicable to single or few inputs and performs well on images from unseen scenes.
Fast Satellite Tensorial Radiance Field for Multi-date Satellite Imagery of Large Size
In response, we present SatensoRF, which significantly accelerates the entire process while employing fewer parameters for satellite imagery of large size.
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding
SparGE measures similarity by jointly sparse coding and graph embedding.
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