Samsung Electronics Co., Ltd.

Changkyo Lee

Jaejoon Han

Kyungryun Kim

Chang Kyu Choi

Byung In Yoo

Byungin Yoo

Young-Soo Sohn

Jungbae Kim

Jae Joon Han

Kyungsoo Ha

Jinhoon Jang

Kiseok Oh

Dongkeon Lee

Youngjun Kwak

Kyung-Soo Ha

Jinwoo Son

Ki-Seok Oh

Donghun Lee

Namjoon Kim

Young-Hoon Son

Hyun-Yoon Cho

Daesik Moon

Seokhun Hyun

Wonjun Hwang

A memory device includes a driver that drives a data line connected with an external device, an internal ZQ manager that generates an internal ZQ start signal, a selector that selects one of the internal ZQ start signal and a ZQ start command from the external device, based on a ZQ mode, a ZQ calibration engine that generates a ZQ code by performing ZQ calibration in response to a selection result of the selector, and a ZQ code register that loads the ZQ code onto the driver in response to a ZQ calibration command from the external device.

Memory device, memory system, and operation method of memory device

A signal transmitting and receiving apparatus including: a first on-die termination circuit connected to a first pin through which a first signal is transmitted or received and, when enabled, the first on-die termination circuit is configured to provide a first termination resistance to a signal line connected to the first pin; a second on-die termination circuit connected to a second pin through which a second signal is transmitted or received and, when enabled, the second on-die termination circuit is configured to provide a second termination resistance to a signal line connected to the second pin; and an on-die termination control circuit configured to independently control an enable time and a disable time of each of the first on-die termination circuit and the second on-die termination circuit.

Apparatus for transmitting and receiving a signal, a method of operating the same, a memory device, and a method of operating the memory device

A liveness test method and apparatus is disclosed. A processor implemented liveness test method includes extracting an interest region of an object from a portion of the object in an input image, performing a liveness test on the object using a neural network model-based liveness test model, the liveness test model using image information of the interest region as provided first input image information to the liveness test model and determining liveness based at least on extracted texture information from the information of the interest region by the liveness test model, and indicating a result of the liveness test.

Liveness test method and apparatus

Memory device performing ZQ calibration, memory system, and operation method of memory device

A method and an apparatus for extracting a facial feature and a method and an apparatus for recognizing a face are provided, in which the apparatus for extracting a facial feature may extract facial landmarks from a current input image, sample a skin region and a facial component region based on the extracted facial landmarks, generate a probabilistic model associated with the sampled skin region and the facial component region, extract the facial component region from a face region included in the input image using the generated probabilistic model, and extract facial feature information from the extracted facial component region.

Method and apparatus for extracting facial feature, and method and apparatus for facial recognition

An object detection method and apparatus are provided. The object detection method may include adaptively generating a pyramid image corresponding to a current frame based on information associated with a target object detected from a previous frame.

Method and apparatus for detecting object

A recognition method includes receiving an input image; and recognizing a plurality of elements associated with the input image using a single recognizer pre-trained to recognize a plurality of elements simultaneously.

Method and apparatus for recognizing object, and method and apparatus for training recognizer

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Seoul, South Korea

Changkyo Lee