Samsung Electronics Co., Ltd.

Seoul National University

Moon Hyun Cha

Il Gyu Kim

Chang Wook Jeong

Changwook Jeong

Sat Byul Kim

Il Chae Jung

Ho Joon Lee

Sang Gul Park

Higashi Kotakemori

Hiroyuki Kubotera

Bo Hyung Han

Daeyoung Park

An object tracking learning system includes a first neural network module that expresses and learns a first parameter for an input image from a first type to a second type and outputs the learned result as a first learning result, a second neural network module that removes and learns a connection of a part of a second parameter for the input image and outputs the learned result as a second learning result, a prediction module that generates a prediction value for an object of the input image from a summation result obtained by summing the first learning result and the second learning result, and an optimization module that updates the first parameter and the second parameter based on the prediction value.

Learning method and system for object tracking based on hybrid neural network

Some example embodiments relate to a super resolution scanning electron microscope (SEM) image implementing device and/or a method thereof. Provided a super resolution scanning electron microscope (SEM) image implementing device comprising a processor configured to crop a low resolution SEM image to generate a first cropped image and a second cropped image, to upscale the first cropped image and the second cropped image to generate a first upscaled image and a second upscaled image, and to cancel noise from the first upscaled image and the second upscaled image to generate a first noise canceled image and a second noise canceled image.

Super resolution SEM image implementing device and method thereof

A non-transitory computer-readable storage medium stores instructions. When executed by a computer, the instructions cause the computer to perform a method for a semiconductor design simulation. The method may include generating first polygon meshes, transforming the first polygon meshes to first level sets, performing logical operations on the first level sets to generate second level sets, and transforming the second level sets to second polygon meshes.

Storage medium which stores instructions for a simulation method in a semiconductor design process, semiconductor design system that performs the simulation method in the semiconductor design process, and simulation method in the semiconductor design process

Growing community of inventors

Yongin-si, South Korea

Moon Hyun Cha