Forcing-informed resolvent analysis extracts data-consistent forcing and response modes for self-sustained flows by estimating input-output subspaces from nonlinear forcing snapshots.
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A two-stage FTF retrieval system for remote sensing images and text achieves competitive accuracy with substantially higher efficiency by separating fast candidate recall from fine-grained reranking.
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Forcing-informed resolvent analysis: Identification of input-output relations in self-sustained flows
Forcing-informed resolvent analysis extracts data-consistent forcing and response modes for self-sustained flows by estimating input-output subspaces from nonlinear forcing snapshots.
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Fast-then-Fine: A Two-Stage Framework with Multi-Granular Representation for Cross-Modal Retrieval in Remote Sensing
A two-stage FTF retrieval system for remote sensing images and text achieves competitive accuracy with substantially higher efficiency by separating fast candidate recall from fine-grained reranking.