Electronics and Telecommunications Research Institute

Samsung Electronics Co., Ltd.

Sungkyunkwan University

Rohm and Haas Electronic Materials Korea Ltd.

Hyundai Motor Company

Kwangwoon University Industry-academic Collaboration Foundation

Kia Motors Corporation

Kia Corporation

Korea University Research and Business Foundation

Dimagic Co., Ltd.

Tae-Jin Lee

Dae-Young Jang

Jeong-Il Seo

Jin-Woo Hong

Jin-Woong Kim

Yong-Ju Lee

Jong-Dae Park

Jeong-Hwan Lee

Se-Yoon Jeong

Dong-Hyun Kim

Jae-Ho Jung

Jong-Ho Kim

Dong-Gyu Sim

Kyeongok Kang

Chieteuk Ahn

Doo-Hyeon Moon

Seoung-Jun Oh

Kyung-Hun Jang

Sang-Hee Cho

Sang-Hoon Lee

Jongho Park

Young-Soo Kim

Dong-jun Lee

Mingyu Lee

Woo-shik Kang

Dong In Kim

Hwan Shim

Jung-Je Son

Sung-Jin Lee

Sung-Hoon Kim

Jung-Soo Jung

Jin Woo Hong

Seung-Hoon Park

Sanghoon Lee

Jungsoo Jung

Sang Shin Lee

Young-il Kim

Jung-Min Moon

Gun Bang

Kyu-Seok Kim

Yong-Il Kim

Ok-Seon Lee

Hyoung-Joo Kim

Dong-Hoon Kim

Young-Kyo Baek

Young-cheol Park

Dong-Jun Lee

Seung-Kwon Beack

Kyeong-Ok Kang

Yunmin Kim

Jae-Hyoun Yoo

Jin-Soo Choi

Hyoung-Jin Kwon

Joo-Young Lee

In-Seon Jang

Youn-Hee Kim

Jeong-Eun Yang

Keun-Woo Lee

Hee-Choon Ahn

Ji-Hoon Do

Hee-Ryong Kang

Yong-seok Choi

Young-Mook Lim

Bitnari Kim

Jin-Ri Hong

Chi-Sik Kim

Min Young Chung

Jae-Sang Lee

Hong-Se Oh

Jong-Hun Park

Su-Hyun Lee

Kyoung-Jin Park

Kyung-hun Jang

Hyun-Ju Kang

Yang-Ick Joo

Ji-Song Jun

Yong-suk Kim

Byung-Woong Han

Yun-gu Lee

Hyunjoo Chung

Jung-Hoon Suh

So Jin Lee

Subhojit Chakladar

Dong-Hyung Lee

Toshio Saito

Won-hee Lee

Seok-Won Lee

Chang-Beom Ahn

Jong-Ho Park

Woong Lim

Se-Youn Lim

Min-Gyu Kim

Ho-Yeon Lee

Jong-ho Park

Seung-Ri Jin

Nam-Kyun Kim

Seon-Tae Kim

Young-Jun Cho

Hong-Yeop Na

Soo-Yong Lee

Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding using filtering. The image encoding method and the image decoding method perform classification on a classification unit of a target image, and perform filtering that uses a filter on the classification unit. A classification index of the classification unit is determined, and the classification index indicates a filter to be used for filtering on the classification unit, among multiple filters. The classification index is determined by various coding parameters, such as an encoding mode of the target block and an encoding mode of a neighboring block adjacent to the target block.

Method, apparatus and storage medium for image encoding/decoding using filtering

An encoding apparatus extracts features of an image by applying multiple padding operations and multiple downscaling operations to an image represented by data and transmits feature information indicating the features to a decoding apparatus. The multiple padding operations and the multiple downscaling operations are applied to the image in an order in which one padding operation is applied and thereafter one downscaling operation corresponding to the padding operation is applied. A decoding method receives feature information from an encoding apparatus, and generates a reconstructed image by applying multiple upscaling operations and multiple trimming operations to an image represented by the feature information. The multiple upscaling operations and the multiple trimming operations are applied to the image in an order in which one upscaling operation is applied and thereafter one trimming operation corresponding to the upscaling operation is applied.

Method, apparatus, and storage medium using padding/trimming in compression neural network

There are provided a method, apparatus, system, and computer-readable recording medium for image compression. An encoding apparatus performs domain transformation and quantization on feature map information and image information. The encoding apparatus rearranges the result of domain transformation and quantization so as to have a form advantageous to the encoding procedure and encodes the result of rearrangement, thereby generating a bitstream. A decoding apparatus receives the bitstream, decodes the received bitstream, and performs inverse transformation, dequantization, and inverse rearrangement using information transmitted through the bitstream. The result of inverse transformation, dequantization, and inverse rearrangement is used for the machine-learning task of a neural network.

Method, apparatus, system and computer-readable recording medium for feature information

The present disclosure relates to an organic electroluminescent compound represented by formula 1 and an organic electroluminescent device comprising the same. By comprising the organic electroluminescent compound of the present disclosure, an organic electroluminescent device having improved driving voltage and/or luminous efficiency characteristics can be provided.

Organic electroluminescent compound and organic electroluminescent device comprising the same

Provided is random access method, performed by terminal for uplink data transmission during random access process between cellular based machine communication terminal and base station. The method includes performing random access process between cellular based machine communication terminal and base station, and the random access process includes selecting random access resource by considering coverage level and whether to support multi-tone transmission or not. Terminal can perform efficient random access process in response to coverage level, subcarrier spacing configuration, multi-tone configuration when machine communication terminal or machine communication device which operates in cellular based IoT system perform random access, number of repetition may be increased, when coverage level is changed, by minimizing the change in coverage level, and operation time of the terminal, due to standing by up to PRACH resource corresponding to the coverage level, may be reduced to reduce energy consumption and to enhance delay time performance.

Random access method considering a coverage level, subcarrier spacing configuration and/or multi-tone configuration in internet of things environment

Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding. An intra-prediction mode for the target block is derived, and intra-prediction for the target block that uses the derived intra-prediction mode is performed. The intra-prediction mode for the target block is derived using an artificial neural network, and an MPM list for the target block is derived using information about the target block, pieces of information about blocks adjacent to the target block, and the artificial neural network. The artificial neural network outputs one or more available intra-prediction modes. Further, the artificial neural network outputs match probabilities for one or more candidate intra-prediction modes, and each of the match probabilities for the candidate intra-prediction modes indicates a probability that the corresponding candidate intra-prediction mode matches the intra-prediction mode for the target block.

Apparatus, method and storage medium for image encoding/decoding to perform intra prediction using artificial neutral network

There are provided an apparatus, method, system, and recording medium for performing selective encoding/decoding on feature information. An encoding apparatus generates residual feature information. The encoding apparatus transmits the residual feature information to a decoding apparatus through a residual feature map bitstream. The residual feature information is the difference between feature information extracted from an original image and feature information extracted from a reconstructed image. Feature information of the reconstructed image is generated using the reconstructed image. Reconstructed feature information is generated using the feature information of the reconstructed image and reconstructed residual feature information.

Disclosed herein are a method, an apparatus and a storage medium for image encoding/decoding using a binary mask. An encoding method includes generating a latent vector using an input image, generating a selected latent vector component set using a binary mask, and generating a main bitstream by performing entropy encoding on the selected latent vector component set. A decoding method includes generating a selected latent vector component set including one or more selected latent vector components by performing entropy decoding on a main bitstream and generating the latent vector in which the one or more selected latent vector components are relocated by relocating the selected latent vector component set in the latent vector.

Method, apparatus and storage medium for image encoding/decoding using binary mask

A communication device of a vehicle transmits a charging permission request message to a server and receives charging permission information from the server. A charging requester is configured to transmit a charging request message including the charging permission information to a charging device and a power receiver is configured to receive a charging response message from the charging device and to wirelessly receive power from the charging device.

Vehicle that receives power wirelessly while the vehicle is moving, server for the same, and wireless charging system

There is provided a method for transmitting data. The method for transmitting data comprises arranging a plurality of RIS based on INFO message of an AP; grouping a plurality of terminals disposed within a predetermined distance from the RIS for each RIS based on distance information from the RIS; and when data is received in the RIS from at least one or more of the grouped terminals, transmitting the received data to the AP.

Data transmission method, data transmission apparatus, and computer-readable recording medium storing instructions to perform data transmission method

The present disclosure relates to a plurality of light-emitting materials comprising at least one of first compounds and at least one of second compounds, wherein the first compound is represented by formula 1, and the second compound is represented by formula 2, and an organic electroluminescent device having improved lifetime properties can be provided by comprising the plurality of light-emitting materials.

Plurality of light-emitting materials and organic electroluminescent device comprising the same

Disclosed herein are a video processing method, apparatus and storage medium using the resolution of a reference picture. Filtering is performed based on resolutions of reference pictures of blocks forming a boundary. The resolutions of the reference pictures may define filtering. Depending on whether the resolutions of the reference pictures are different from each other, one or more filter selection parameters for filtering may be determined or updated. Further, based on whether the resolutions of the reference pictures are different from each other, the boundary strength of the filter may be determined. Because filtering is defined using the resolutions of reference pictures, performance of encoding and/or decoding may be improved.

Video processing method and device using resolution of reference picture, and recording medium

The present disclosure relates to an organic electroluminescent compound and an organic electroluminescent device comprising the same. By comprising the organic electroluminescent compound of the present disclosure, an organic electroluminescent device having improved driving voltage, luminous efficiency, and/or lifespan characteristics can be provided.

The present disclosure relates to an organic electroluminescent device. The organic electroluminescent device of the present disclosure shows high luminous efficiency and good lifespan by comprising a specific combination of the plural kinds of host compounds and a specific hole transport compound.

Organic electroluminescent device

The present disclosure relates to an organic electroluminescent compound and an organic electroluminescent device comprising the same. By using the organic electroluminescent compound of the present disclosure, an organic electroluminescent device having low driving voltage, high luminous efficiency, and/or long lifespan properties can be provided.

Growing community of inventors

Suwon-si, South Korea

Tae-Jin Lee