Samsung Electronics Co., Ltd.

Electronics and Telecommunications Research Institute

Korea Advanced Institute of Science and Technology

Daelim Chemical Co., Ltd.

Yonsei University

Korea University Research and Business Foundation

Snu Rdb Foundation

Agency for Defense Development

Sunghoon Hong

Qiang Wang

Weiming Li

Yang Liu

Hao Wang

Yueying Kao

Minsu Ahn

Yong Suk Yang

Lin Ma

Chao Zhang

Jiyeon Kim

Hyun Sung Chang

In-Kyu You

Inwoo Ha

Wooshik Kim

Keechang Lee

Kyungboo Jung

Hwiryong Jung

Huijin Lee

Zairan Wang

Hong Hyun Shin

Dongdong Yu

Woo Seok Yang

Nahyup Kang

Seung-Chan Kim

Hyewon Moon

Seonkeun Park

Geeyoung Sung

Chun Long Wang

Wonhee Lee

Chul Kyu Kang

Kyoobin Lee

Zhihua Liu

Heon Ju Lee

Dongwoo Kang

Kiseong Kim

Yun-tae Kim

In Gyoo Kim

JungHun Lee

Sangil Lee

Moon Gi Kang

Guangwei Wang

Jaeyoon Kim

Ho Jung Lee

Yunsu Cho

Tianhao Gao

Hyoun Jin Kim

Hankyung Ji

Jungmin Yeo

Chul Woo Kang

Hong-Seok Lee

Na-Kyoung Lee

Bit Na Kim

Changheui Jang

Min Sub Kim

Jin Woo Heo

Seok Hun Kang

Soo-Jung Kim

Seung Hoon Jee

Hyunmyung Kim

Chaewon Kim

Mi Hyun Kim

Changho Jo

Sungeui Yoon

Euijung Jang

Jieun Kang

Hyun Jong Woo

Seongmin Choi

Donggeun Lee

Youngchul Ghim

Alvin Amry Sugianto

Bao He

Bonjin Koo

Hak-Jong Choi

Ji Hwan Sul

Gyu Ri Lim

Hye Won Yoon

Gokul Obulan Subramanian

An electronic device and method with gaze estimating are disclosed. The method includes obtaining target information of an image, the image including an eye, obtaining a target feature map representing information on the eye in the image based on the target information, and estimating a gaze for the eye in the image based on the target feature map. The target information includes either attention information on the image, or a distance between pixels in the image, or both.

Device and method with gaze estimating

A voltage measuring device for measuring a voltage by using a Pockels cell includes a Pockels cell changing a refractive index of incident light based on an applied electric field, at least one non-polarized beam splitter splitting an incident beam, a first polarizing plate polarizing a first beam split by the at least one non-polarized beam splitter, a first light detector detecting light polarized based on the first polarizing plate, a ¼ wave plate elliptically polarizing and outputting a second beam split by the at least one non-polarized beam splitter, a second polarizing plate polarizing the elliptically polarized second beam, a second light detector detecting light polarized based on the ¼ wave plate and the second polarizing plate, and a controller configured to measure a voltage based on a first light intensity determined by the first light detector and a second light intensity determined by the second light detector.

Device and method for measuring voltage by using optical element

A method with object pose estimation includes: obtaining an instance segmentation image and a normalized object coordinate space (NOCS) map by processing an input single-frame image using a deep neural network (DNN); obtaining a two-dimensional and three-dimensional (2D-3D) mapping relationship based on the instance segmentation image and the NOCS map; and determining a pose of an object instance in the input single-frame image based on the 2D-3D mapping relationship.

Method and apparatus with object pose estimation

A method with image processing includes: determining a feature map of an image; determining a spatial position weight of pixel points of the feature map; determining a corrected feature map by correcting the feature map based on the spatial position weight of the pixel points; and determining a key point based on the corrected feature map.

Method and apparatus with image processing

A method with object detection includes obtaining a first point cloud feature based on point cloud data of an image and determining at least one object in the image based on the first point cloud feature.

Method and apparatus with object detection

An electronic device for estimating object information and generating a virtual object and a method of operating the electronic device are disclosed. The method includes obtaining an image, obtaining a class feature, a pose feature, and a relationship feature of an object included in the image, correcting each of the class feature, the pose feature, and the relationship feature using any combination of any two or more of the class feature, the pose feature, and the relationship feature of the object, and obtaining class information, pose information, and relationship information of the object based on the corrected class feature, the corrected pose feature, and the corrected relationship feature, respectively.

Method and apparatus with object information estimation and virtual object generation

A processor-implemented method with object pose estimation includes: determining an image feature corresponding to a point cloud of an input image; determining semantic segmentation information, instance mask information, and keypoint information of an object, based on the image feature; and estimating a pose of the object based on the semantic segmentation information, the instance mask information, and the keypoint information.

A method, an apparatus, an electronic device for estimating a pose of an object include determining a confidence of a depth image of an object based on a color image and the depth image of the object, estimating a pose of the object based on a three-dimensional (3D) keypoint in response to the depth image being reliable, and estimating the pose of the object based on a two-dimensional (2D) keypoint in response to the depth image being unreliable.

Method, apparatus, electronic device and storage medium for estimating object pose

An method of operating a display apparatus is provided. The operating method includes calculating a confidence of a result obtained by performing light field rendering on each of pixels of a display panel based on positions of a left eye and a right eye, determining a weight kernel of a corresponding pixel based on the confidence, and adjusting a brightness of a pixel corresponding to each of the left eye and the right eye based on the weight kernel.

Display apparatus and operating method of the same

An image processing apparatus and method are provided. The image processing apparatus acquires a target image including a depth image of a scene, determines three-dimensional (3D) point cloud data corresponding to the depth image based on the depth image, and extracts an object included in the scene to acquire an object extraction result based on the 3D point cloud data.

Image processing apparatus and method

A display apparatus and an operating method thereof obtain at least one first sensor data of a first point in time, receive a first image frame including a first augmented reality (AR) object corresponding to the first point in time, the first AR object generated by a first processor, based on the first sensor data, obtain second sensor data of a second point in time subsequent to the first point in time, correct the first AR object to a second AR object matched to the second point in time, based on the second sensor data, and display a second image frame including the second AR object.

Apparatus and operating method for displaying augmented reality object

A processor-implemented light source information output method includes: receiving an input image; detecting, using a trained neural network, at least one object in the input image; estimating, using the trained neural network, light source information of a light source corresponding to the at least one object; and outputting the light source information.

Method and apparatus with light source information output

The present disclosure relates to a high-strength Fe&#x2014;Cr&#x2014;Al&#x2014;Ni multiplex stainless steel and a manufacturing method therefor. The multiplex stainless steel comprises 35 to 67 wt % of iron (Fe), 13 to 30 wt % of chrome (Cr), 15 to 30 wt % of nickel (Ni), and 5 to 15 wt % of aluminum (Al) and has a multiplex structure in which an austenite phase accounting for high ductility, a ferrite phase accounting for high strength, and an NiAl(B2) phase providing both strength and high-temperature steam oxidation resistance, exist in combination. The multiplex stainless steel can secure necessary fabricability and mechanical strength even if for/in a thin state, can maintain integrity as a structural member in a normal operation condition of a light-water reactor thanks to the formation of a chrome oxide layer thereon, and can form a stable oxide layer including alumina under a high-temperature steam environment, which is plausible in a high-temperature nuclear accident, thereby providing exceptionally improved resistance to serious accidents.

High-strength Fe&#x2014;Cr&#x2014;Ni&#x2014;Al multiplex stainless steel and manufacturing method therefor

A humidity sensor is provided. The humidity sensor includes a flexible substrate, a moisture absorption prevention layer covering the flexible substrate, a dielectric layer on the moisture absorption prevention layer, hydrophobic patterns on the dielectric layer, a first electrode between the moisture absorption prevention layer and the dielectric layer, and a second electrode spaced apart from the first electrode between the moisture absorption prevention layer and the dielectric layer. The first electrode has a thickness greater than that of the moisture absorption prevention layer.

Humidity sensor

Growing community of inventors

Hwaseong-si, South Korea

Sunghoon Hong