Samsung Electronics Co., Ltd.

Samsung Sdi Co., Inc.

Korea Advanced Institute of Science and Technology

Seungin Park

Hyong Euk Lee

Minsu Ahn

Inwoo Ha

Byung In Yoo

Sangil Jung

Yang Liu

Hao Wang

Jiyeon Kim

Weiming Li

Qiang Wang

Changyong Son

Soojung Ryu

Keechang Lee

Jinwoo Son

Minjung Son

Yueying Kao

Seokhwan Jang

Haewoo Park

Changmoo Kim

Hyongeuk Lee

Lin Ma

Sung-Hyun Jung

Hyung Sun Kim

Keun Woo Park

Sangshin Lee

Ho Kuk Jung

Dalho Huh

Kipo P Jang

Sangoak Woo

Heesae Lee

Dong Min Kang

Jinhyun Lui

Changbeom Park

Byoungkwan Lee

Ran Namgung

Solae Lee

Youngkyoung Jo

Sunwoong Shin

Pyeongseok Cho

Yongtak Yang

Jaejin Oh

Yunhao Zhang

Gee Hyuk Lee

Yoonman Lee

Sung Geun Ahn

Dae Hwa Kim

Sungyoul Park

Hyeongseok Son

Ying Min

Ronghua Kang

Zhijie Lv

Inwoon Ha

A processor-implemented method with visual code processing includes generating a first image by capturing a first visual code, using an always on (AO) sensor module of an electronic device, detecting a first code image included in the first image and corresponding to the first visual code, using the AO sensor module, performing a first type decoding on the first code image, using the AO sensor module, waking up an application processor (AP) of the electronic device from a low-power state, based on a first decoding result of the first type decoding, and executing a first application of the electronic device corresponding to the first visual code, using the AP.

Method and electronic device with visual code processing

An image sensor includes: a motion detection circuit configured to detect a motion in image frames; and a micro control unit (MCU) configured to adjust at least a portion of a target frame among the image frames based on whether the motion is detected, and detect whether a target object is present based on the adjusted portion of the target frame.

Image sensor and operating method of the image sensor

An object classification method and apparatus are disclosed. The object classification method includes receiving an input image, storing first feature data extracted by a first feature extraction layer of a neural network configured to extract features of the input image, receiving second feature data from a second feature extraction layer which is an upper layer of the first feature extraction layer, generating merged feature data by merging the first feature data and the second feature data, and classifying an object in the input image based on the merged feature data.

Method and apparatus with object classification

An apparatus and a method of controlling a camera is provided. The apparatus includes a receiver configured to receive an image from an image sensor and a processor configured to detect a target object from the image, perform a first zoom adjustment operation of the camera including the image sensor based on whether the target object is changed and perform a second zoom adjustment of the camera based on a center point of the target object and a center point of the camera.

Apparatus and method of controlling camera with auto-zooming

A composition for an organic optoelectronic device, an organic optoelectronic device, and a display device, the composition including a first compound; a second compound; and a third compound, the first compound, the second compound, and the third compound are different from each other, the first compound is represented by Chemical Formula I, the second compound is represented by Chemical Formula II or Chemical Formula III, and the third compound is represented by Chemical Formula II or Chemical Formula III,

Composition for optoelectronic device and organic optoelectronic device and display device

A method with video segmentation may include: acquiring, over time, a video sequence including a plurality of image frames, the plurality of image frames including a second image frame corresponding to a time t of the video sequence and a first image frame corresponding to a time t−1 before the time t; extracting a second feature vector from the second image frame; generating second hidden state information corresponding to the second image frame, based on first hidden state information corresponding to the first image frame and second fusion information in which the second feature vector is fused with information related to the second image frame stored in a memory; generating a second segmentation mask corresponding to the second image frame, based on an output vector corresponding to the second hidden state information; and outputting the second segmentation mask.

Method and apparatus with video segmentation

A method with image augmentation includes recognizing, based on a gaze of the user corresponding to the input image, any one or any combination of any two or more of an object of interest of a user, a situation of the object of interest, and a task of the user from partial regions of an input image determining relevant information indicating an intention of the user, based on any two or any other combination of the object of interest of the user, the situation of the object of interest, and the task of the user, and generating a visually augmented image by visually augmenting the input image based on the relevant information.

Method and apparatus with image augmentation

A recognizer including a shared encoder to extract a feature of an input image in a source domain and a target domain; and a shared decoder to classify a class of an object included in the input image based on the feature of the input image, in the source domain and the target domain. A set of object classes of the source domain and a set of object classes of the target domain differ from each other.

Recognizer, object recognition method, learning apparatus, and learning method for domain adaptation

A stereo matching method includes extracting feature points of a first image and feature points of a second image, the first image and the second image together constituting a stereo image, determining reference points by matching the feature points of the second image to the feature points of the first image, classifying the reference points, and performing stereo matching on pixels of which disparities are not determined in the first image and the second image based on disparities of the reference points in the pixels determined based on a result of the classifying.

Stereo matching method and apparatus

An object detection method includes setting a first window region and a second window region larger than the first window region that correspond to partial regions of different sizes in an input image, downsampling the second window region to generate a resized second window region, detecting a first object candidate from the first window region and a second object candidate from the resized second window region, and detecting an object included in the input image based on one or both of the first object candidate and the second object candidate.

Method and apparatus for detecting object

A method and apparatus for predicting an object of interest of a user receives an input image of a visible region of a user and gaze information including a gaze sequence of the user, generates weight filters for a per-frame segmentation image by analyzing a frame of the input image for input characteristics of the per-frame segmentation image and the gaze information, and predicts an object of interest of the user by integrating the weight filters and applies the integrated weight filter to the per-frame segmentation image.

Method and apparatus for predicting object of interest of user

A method with video segmentation may include: acquiring, over time, a video sequence including a plurality of image frames, the plurality of image frames including a second image frame corresponding to a time t of the video sequence and a first image frame corresponding to a time t&#x2212;1 before the time t; extracting a second feature vector from the second image frame; generating second hidden state information corresponding to the second image frame, based on first hidden state information corresponding to the first image frame and second fusion information in which the second feature vector is fused with information related to the second image frame stored in a memory; generating a second segmentation mask corresponding to the second image frame, based on an output vector corresponding to the second hidden state information; and outputting the second segmentation mask.

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Yongin-si, South Korea

Seungin Park