Korea Advanced Institute of Science and Technology

Sung-Eui Yoon

Jung Woo Choi

Tae Kyun Kim

Doheon Lee

In Young Cho

Yuchi Huo

Donghyuk Kim

Woobin Im

Inkyu An

Youngsun Kwon

A computer system of unsupervised learning with deep similarity for optical flow estimation is provided. The computer system is configured to calculate deep similarity by using deep features extracted from a sequence of a plurality of images, and learning optical flow for the images based on the deep similarity.

Computer system of unsupervised learning with deep similarity for optical flow estimation and method thereof

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.

Ray clustering learning method based on weakly-supervised learning for denoising through ray tracing

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.

System and method for localization for non-line of sight sound source

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.

Growing community of inventors

Daejeon, South Korea

Sung-Eui Yoon