Samsung Electronics Co., Ltd.

Juyoung Lee

Kwangmyung Cho

Changduk Kang

Jiyoon Song

Seunghyun Lee

Yongsung Kim

Dongwan Lee

Soyoung Lee

Daehyun Ban

Youngkyoung Park

Sungsoo Kim

Joonsong Park

Jieun Kim

Wooyong Lee

Jinhwan Park

Chanwon Seo

Yehoon Kim

Hyunsoo Choi

Soonchun Chung

Sojung Yun

Jinha Kim

Jaechan Park

Lei Zhang

Daehun Kim

Sunghaeng Lee

Huisub Lim

Hyunyoung Shin

Hyunmin Koo

Byungkwan Cho

An apparatus is provided. The apparatus includes an input/output interface configured to receive an image and output a result, a memory storing one or more instructions for processing the image by using a convolutional neural network, and a processor configured to process the image by executing the one or more instructions, wherein the convolutional neural network (CNN) may include one or more spatial transformation modules, and the spatial transformation module may include a spatial transformer configured to apply a spatial transform to first input data that is the image or an output of a previous spatial transformation module, by using a spatial transformation function, a first convolutional layer configured to perform a convolution operation between the first input data to which the spatial transform is applied and a first filter, and a spatial inverse transformer configured to apply a spatial inverse transform to an output of the first convolutional layer.

Image processing method and apparatus using convolutional neural network

A server for pose estimation of a person and an operating method of the server are provided. The operating method includes obtaining an original image including a person, generating a plurality of input images by rotating the original image, obtaining first pose estimation results respectively corresponding to the plurality of input images, by inputting the plurality of input images to a pose estimation model, applying weights to the first pose estimation results respectively corresponding to the plurality of input images, and obtaining a second pose estimation result, based on the first pose estimation results to which the weights are applied, wherein the first pose estimation results and the second pose estimation result each include data indicating main body parts of the person.

Server for pose estimation and operating method of the server

A method of operating an image processing apparatus is provided. The method includes generating a first feature map by performing a convolution operation between a first image and a first kernel group, generating a second feature map by performing a convolution operation between the first image and a second kernel group, generating a first combination map based on the first feature map, generating a second combination map based on the first feature map and the second feature map, generating a second image based on the first combination map and the second combination map, and generating a reconstructed image of the first image, based on the second image and the first image, and generating a high-resolution image of the first image by inputting the reconstructed image to an upscaling model.

Image processing apparatus and operating method thereof

Emotion information is obtained by an electronic device in order to improve communication between a person and the electronic device. Multimedia data is obtained regarding a person, predicted values for the person are obtained by applying the multimedia data to neural network models, and emotion information of the person is obtained by applying the predicted values to a weight model. Then, feedback information is obtained from the person with respect to the first emotion information of the person. Finally, the weight model is updated by using the feedback information. Subsequently, when multimedia data are again obtained regarding the person, new predicted values for the person are obtained by applying later multimedia data the plurality of neural network models, and emotion information of the person is again obtained, but this time using the weight model updated using the feedback information.

Electronic device and method of obtaining emotion information

Provided are an acid-resistant yeast cell with genetic modification and reduced Fps1 activity compared to that of a parent cell without the genetic modification; and a method of producing lactate by using the yeast cell.

Acid-resistant yeast cell with reduced FPS1 activity and method of producing lactate by using the yeast cell

Provided is an acid-resistant yeast cell that is genetically engineered to enhance activity of a radiation sensitivity complementing kinase, and a method of producing lactate by using the yeast cell.

Genetically engineered and acid-resistant yeast cell with enhanced activity of radiation sensitivity complementing kinase and method of producing lactate by using the yeast cell

A yeast cell capable of producing lactate, a method of preparing the yeast cell, and a method of producing lactate by using the yeast cell, wherein theyeast cell has a reduced activity of rim15 protein, igo2 protein, or a combination thereof, and an increased activity of an enzyme that catalyzes conversion from pyruvate to lactate, compared to a parent cell.

Yeast cell-producing lactate with reduced activity of rim15 and igo2, method of producing the yeast cell, and method of producing lactate by using the yeast cell

A genetically engineered yeast cell capable of producing lactate having increased TPI activity, a method of preparing the yeast cell, and a method of producing lactate by using the yeast cell.

Genetically engineered yeast cell capable of producing lactate, method of producing the same, and method of producing lactate by using the cell

Provided is a genetically engineered yeast cell with lactate production capacity, including an enzyme that catalyzes conversion of acetaldehyde to acetyl-CoA and an enzyme that catalyzes conversion of pyruvate to lactate, which activities are increased compared to a parent cell of the yeast cell, as well as a method of producing the genetically engineered yeast cell and method of producing lactate using the genetically engineered yeast cell.

Genetically engineered yeast cell producing lactate including acetaldehyde dehydrogenase, method of producing yeast cell, and method of producing lactate using the same

A microorganism with improved acid-resistance. A microorganism capable of efficiently producing 3-HP, and methods for producing an organic acid.

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A yeast cell with reduced pyruvate to oxaloacetate conversion activity, and a method of producing lactate using the yeast cell.

Growing community of inventors

Daegu, South Korea

Juyoung Lee