Samsung Electronics Co., Ltd.

Ki Hwan Choi

Chang Hyun Kim

Hyun Jin Choi

Dong Hwa Lee

Eun Sub Shim

Sang-Hyun Joo

Sung Soo Lee

Ji Yoon Park

Jung Eun Lee

Jae-Woo Park

Stephanie Kim Ahn

Ji-Sang Lee

Oh Suk Kwon

Si Hyoung Lee

Yoon Jeong Heo

Eun Soo Shim

Jin Joo Park

Ievgen Zaichuk

Tae Sup Moon

Apparatuses and methods for image processing are provided. The image processing apparatus performs area classification and object detection in an image, and includes a feature map generator configured to generate the feature map of the input image using the neural network, and an image processor configured to classify the areas and to detect the objects in the image using the generated feature map.

Image processing apparatus and method based on deep learning and neural network learning

Disclosed is an apparatus and method to train an autonomous driving model. The apparatus includes a driver information collection processor configured to collect driver information while a vehicle is being driven. The apparatus also includes a sensor information collection processor configured to collect sensor information from a sensor installed in the vehicle while the vehicle is being driven, and a model training processor configured to train the autonomous driving model based on the driver information and the sensor information.

Apparatus and method to train autonomous driving model, and autonomous driving apparatus

An electronic device comprises a camera; a sensor configured to sense a motion; and one or more processors, wherein the one or more processors are configured to: sequentially acquire a plurality of images using the camera and acquire motion information of the plurality of images using the sensor, during a specified time; create a panoramic image with a first image sub-set comprising a portion of the plurality of images and a second image sub-set comprising another portion of the plurality of images, and moving picture data related to the panoramic image; and determine whether to correct at least a partial section of the moving picture data using a particular image from the second image sub-set that corresponds to the at least the partial section of the moving picture data, based on the frame rate of the at least the partial section of the moving picture data.

Electronic device for creating panoramic image or motion picture and method for the same

Disclosed are methods and apparatuses for object recognition using an artificial neural network. An object recognition apparatus includes an adjacent pixel setter configured to set the neighboring pixel pairs in the image frame, each neighboring pixel pair including first pixel and one or more second pixels adjacent to the first pixel, a labeler configured to label the first pixel using deep neural network-based model based on probability density function value of the neighboring pixel pairs, and an object recognizer configured to recognize an object based on the labeled first pixel.

Apparatus and method for object recognition and for training object recognition model

A non-volatile memory device, a data read method thereof and a recording medium are provided. The method includes receiving a data read command for a first word line in a memory cell array, reading data from a second word line adjacent to the first word line, and reading data from the first word line using a different voltage according to a state of the data read from the second word line. The number of read voltages used to distinguish an erased state and a first programmed state is greater than the number of read voltages used to distinguish a second programmed state and a third programmed state.

Non-volatile multi-level memory device and data read method

A programming method for a nonvolatile memory device includes performing a LSB programming operation programming all LSB logical pages, and thereafter performing a MSB programming operation programming all MSB logical pages, wherein during the LSB programming operation a selected MLC is programmed to a negative intermediate program state. A program sequence for the LSB and MSB programming operations may be sequential or non-sequential in relation to an order arranged of word lines.

Flash memory device and system with program sequencer, and programming method

A high voltage generation circuit for use with a semiconductor memory device includes a plurality of high voltage generation units and a control circuit. The high voltage generation units generate high voltages having different voltage levels in response to corresponding clock signals. The control circuit generates clock signals, which do not toggle simultaneously, based on the voltage levels of the high voltages.

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Yongin-si, South Korea

Ki Hwan Choi