A data-driven nonuniform subsampling approach for computation-free on-sensor data
dimensionality is provided, referred to herein as selective sensing. Designing an on-sensor …

This disclosure addresses the single-image compressive sensing (CS) and reconstruction
problem. A scalable Laplacian pyramid reconstructive adversarial network (LAPRAN) …

A data item is identified on a device. A neural network that includes an adversarial
transformation subnetwork is applied to the data item to generate a modified data item …

A compression system trains a machine-learned compression model that includes
components for an encoder and decoder. In one embodiment, the compression model is …

A compression ratio (CR) adapter (CRA) for end-to-end data-driven compressive sensing
(CS) reconstruction (EDCSR) frameworks is provided. EDCSR frameworks achieve state-of …

A computer-implemented method, system and computer program product for compressing
video. A set of video frames is partitioned into two subsets of different types of frames, a first …

A speech generation method and apparatus are disclosed. The speech generation method
includes obtaining, by a processor, a linguistic feature and a prosodic feature from an input …

(57) ABSTRACT A method for video compression processing, an electronic device, and a
storage medium. In the method for video compression processing, video compression is …

The encoder includes processing circuitry, and memory. Using the memory, the processing
circuitry: generates a predicted image of an input image that is a current image to be …