Abstract: Disclosed are novel compounds of Chemical Formula 1, optical isomers of the compounds, and pharmaceutically acceptable salts of the compounds or the optical isomers. The compounds, isomers, and salts exhibit excellent activity as GLP-1 receptor agonists. In particular, they, as GLP-1 receptor agonists, exhibit excellent glucose tolerance, thus having a great potential to be used as therapeutic agents for metabolic diseases. Moreover, they exhibit excellent pharmacological safety for cardiovascular systems.

Abstract: A method and apparatus with image processing are provided. A method includes determining sample points sampled on a camera ray, wherein the camera ray is based on view-generation information comprising a scene viewing-position and a scene-viewing direction, determining location statuses of the respective sample points based on a virtual cylindrical coordinate system defined by a center and a radius, projecting and rendering a value of a pixel corresponding to the camera ray by, according the location statuses, applying the view-generation information to a first neural network to generate a first rendering result and to a second neural network to generate a second rendering result, wherein the first neural network has been trained to generate foreground images and the second neural network has been trained to generate background images, and generating a rendered image based on blending the first rendering result and the second rendering result.

Abstract: Disclosed is a ray clustering learning method based on weakly-supervised learning for denoising using ray tracing. The ray clustering learning method is for learning a denoising model for removing noise from a rendered image through ray tracing, and includes extracting a feature of a simulated ray through the ray tracing and clustering the ray through contrastive learning for the feature.

Abstract: Various example embodiments provide a computer system of unsupervised learning with deep similarity for optical flow estimation and a method thereof. According to various example embodiments, the computer system may be configured to calculate deep similarity by using deep features extracted from a sequence of a plurality of images, and learn optical flow for the images based on the deep similarity. In other words, the computer system may learn deep learning model for estimating optical flow through unsupervised learning based on deep similarity for a sequence of a plurality of images. At this time, the computer system may learn optical flow by using a feature separation loss function obtained by dividing occlusion locations and non-occlusion locations on the deep similarity map.

Abstract: Disclosed is a method and system for diffraction-aware non-line of sight (NLOS) sound source localization (SSL) that may reconstruct an indoor space, may generate acoustic rays into the indoor space based on an audio signal collected from the indoor space, and may estimate a position of an NLOS sound source based on a point at which one of the acoustic rays is diffracted.

Abstract: A method and system for updates an occupancy map based on a first ray determined from a plurality of rays, as known as a super ray. The method of updating an occupancy map based on grids and octrees includes the step of generating a mapping line based on point clouds obtained from a sensor, determining a super ray by identifying a cell belonging to a plurality of cells forming the occupancy map and traversing an identical cell based on the generated mapping line, and updating the occupancy map by updating a cell through which the super ray corresponding to some of rays related to the plurality of cells forming the occupancy map passes.

Abstract: Disclosed is a method and system for diffraction-aware non-line of sight (NLOS) sound source localization (SSL) that may reconstruct an indoor space, may generate acoustic rays into the indoor space based on an audio signal collected from the indoor space, and may estimate a position of an NLOS sound source based on a point at which one of the acoustic rays is diffracted.

Abstract: Disclosed herein are a method and system for updating an occupancy map based on a super ray. The method of updating an occupancy map based on grids and octrees includes the step of generating a mapping line based on point clouds obtained from a sensor, generating a super ray by identifying a cell belonging to a plurality of cells forming the occupancy map and traversing an identical cell based on the generated mapping line, and updating the occupancy map by updating a cell through which the super ray corresponding to some of rays related to the plurality of cells forming the occupancy map passes.