A method for adaptive corner detection is provided. The method includes: obtaining one or more event data from a dynamic vision sensor; capturing and organizing a plurality of recorded events of the event data into a 2D array; transforming the 2D array into one or a plurality of Ordered Surface (OS) matrices by populating one or a plurality of empty Image Matrices with the recorded events based on their coordinates and assigning order values; and applying a corner detector to the OS matrices. A system for adaptive corner detection is also provided.

Techniques for generating magnetic resonance (MR) images of a subject from MR data obtained by a magnetic resonance imaging (MRI) system, the techniques including: obtaining input MR data obtained by imaging the subject using the MRI system; generating a plurality of transformed input MR data instances by applying a respective first plurality of transformations to the input MR data; generating a plurality of MR images from the plurality of transformed input MR data instances and the input MR data using a non-linear MR image reconstruction technique; generating an ensembled MR image from the plurality of MR images at least in part by: applying a second plurality of transformations to the plurality of MR images to obtain a plurality of transformed MR images; and combining the plurality of transformed MR images to obtain the ensembled MR image; and outputting the ensembled MR image.

Provided are systems and methods for training and using a machine-learned model to predict a visual attention center for an image. As one example, the predicted visual attention center for the image can be used in ordering image regions for encoding, decoding, transmitting, and/or loading in a progressive image loading format.

Optical imaging includes: configuring a spatial mode sorter to provide, in response to a received input optical signal, a separate output optical signal for each spatial mode in a set of target spatial modes: receiving a set of output optical signals from the spatial mode sorter during a detection interval of time: processing information based at least in part on the set of output optical signals received in the detection interval of time: and providing an estimated measurement for discriminating among a first set of two or more predetermined target images based at least in part on information derived from the processing. During the detection interval of time, a total number of the output optical signals is greater than two and less than ten.