Search Results for author: Jieqian He

Found 3 papers, 0 papers with code

Scattering Statistics of Generalized Spatial Poisson Point Processes

no code implementations10 Feb 2019 Michael Perlmutter, Jieqian He, Matthew Hirn

We present a machine learning model for the analysis of randomly generated discrete signals, modeled as the points of an inhomogeneous, compound Poisson point process.

Point Processes

Texture synthesis via projection onto multiscale, multilayer statistics

no code implementations22 May 2021 Jieqian He, Matthew Hirn

We provide a new model for texture synthesis based on a multiscale, multilayer feature extractor.

Image Generation Texture Synthesis

A Hybrid Scattering Transform for Signals with Isolated Singularities

no code implementations10 Oct 2021 Michael Perlmutter, Jieqian He, Mark Iwen, Matthew Hirn

We also show that the Gabor measurements used in the second layer can be used to synthesize sparse signals such as those produced by the first layer.

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