Samsung Electronics Co., Ltd.

Jaehyoung Yoo

Changyong Son

Jaejoon Han

Jinwoo Son

Sangil Jung

Changin Choi

Dongwook Lee

Seohyung Lee

Chang Kyu Choi

Woosup Lee

Jaedeok Lim

Hana Choe

Taejun Lim

Provided is a method and apparatus with neural network operation. The method includes generating a first intermediate operation result by performing a first-order partial operation of a neural network layer on a first input line of a first area of a frame, generating a second intermediate operation result by performing another first-order partial operation of the neural network layer on a second input line of the first area, and generating an objective operation result of the neural network layer with respect to the first area based on a second-order partial operation performed on the first intermediate operation result and the second intermediate operation result.

Method and apparatus with neural network operation

An example electronic device includes a battery, a coil antenna that transmits power of the battery, a shield disposed on a lower surface of the coil antenna, and a plurality of magnet modules formed to surround at least a portion of a side surface of the coil antenna. Each of the plurality of magnet modules includes an inner part that faces toward the side surface of the coil antenna, an outer part that faces toward an opposite side to the coil antenna, and a non-magnetized area disposed between the inner part and the outer part. The inner part includes a first inner area and a second inner area over the first inner area, and the outer part includes a first outer area and a second outer area over the first outer area. The first inner area and the second outer area are magnetized with a first polarity, and the second inner area and the first outer area are magnetized with a second polarity opposite to the first polarity.

Electronic device including a plurality of magnet modules

A method and apparatus for processing an image based on partial images. The method includes extracting a feature of a current partial processing region of an input image frame by inputting pixel data of the current partial processing region into a convolutional neural network (CNN), updating a hidden state of a recurrent neural network (RNN) for a context between the current partial processing region and at least one previous partial processing region by inputting the extracted feature into the RNN, and generating an image processing result for the input image frame based on the updated hidden state.

Method and apparatus for processing image based on partial images

A system includes: an image sensor configured to acquire an image; an image processor configured to generate a quantized image based on the acquired image using a trained quantization filter; and an output interface configured to output the quantized image.

Method and apparatus with quantized image generation

Disclosed are an image data processing method and a sensor device performing the same. The sensor device includes an image sensor configured to acquire image data, an image buffer configured to store the image data, and an image processor configured to generate image-processed data by applying a filter corresponding to a storage pattern of the image buffer to the image data stored in the image buffer.

Data processing method and sensor device for performing the same

Disclosed is a method and apparatus for face detection using an adaptive threshold. The method includes determining a detection box in an input image, calculating a confidence score indicating whether an object in the detection box corresponds to a face, setting an adaptive threshold based on a size of the detection box, and determining whether the object in the detection box corresponds to a face based on comparing the confidence score to the adaptive threshold.

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Seongnam-si, South Korea

Jaehyoung Yoo