Huawei Technologies Co., Limited

Honor Device Co., Ltd.

Suzhou Kanova Biopharmaceutical Co., Ltd.

Beijing Kanova Biopharmaceutical Co., Ltd.

Beijing University of Posts and Telecommunications

Beijing Kanova Biopharmaceuticals Co. Ltd.

Chen Dong

Wenmei Gao

Xin Ding

Hongwei Hu

Xiaohan Chen

Yu Wang

Yixin Chen

Yongtao Jiang

Li Hui Guo

Jian Wang

Fan Yang

Tong Jiang

Tiantian Sun

Qiang Li

Xinmiao Chang

Xiaona Zhao

Xiaodong Sun

Zhizhi Guo

Xiaoxu Qi

Ping Zhang

Lili Zhang

Jie Zhang

Xiaodong Xu

Richard Stirling-Gallacher

Yongbo Zeng

Liang Zhang

Jingqing Mei

Chao Lv

Chao Dong

Henghui Lu

Yanliang Sun

Sishan Wang

Kai Niu

Peida Xu

Yuewan Lu

Jiaming Li

Hongbao Li

Zijian Liang

Ye Yao

Deyu Zhou

Yuan Dou

Nidan Wang

Jincheng Dai

The present invention is related to anti-B7S1 (B7-H4) polypeptides including anti-B7S1 (B7-H4) antibodies and their immunoreactive fragments, chimeric antigen receptor (CAR) binding to B7S1 (B7-H4) molecule and the uses thereof, particularly in the treatment of cancers. The invention particularly concerns humanized anti-B7S1 antibodies and their antigen binding fragments capable of enhancing the activation of the immune system against diseased tissues including cancerous cells, and the genetically engineered immune cells expressing anti-B7S1 CAR used for treatment of diseases including cancers.

Anti-B7S1 polypeptides and their use

The technology of this application relates to an artificial intelligence terminal-based image detection method and apparatus, and an electronic device. The method includes obtaining a to-be-detected image, determining a light source region of the to-be-detected image and a foreground region of the to-be-detected image, and determining a blurring degree of the to-be-detected image based on the light source region and the foreground region. Impact of a light source on clarity of the to-be-detected image is determined by performing light source region detection and foreground region detection on the to-be-detected image, to effectively detect whether an image shot in a backlight condition is blurred.

Image detection method and apparatus, and electronic device

The present invention provides anti-IL-25 antibodies that are directed against (human) IL-25, nucleic acids that encode such antibodies, compositions, and in particular pharmaceutical compositions that comprise such antibodies; and uses of such antibodies and compositions.

Anti-IL-25 antibodies and use thereof

The present invention encompasses antibodies and fragments thereof that bind to an extracellular domain of B7H3, and uses thereof.

Anti-B7-H3 antibody

An emulated card selection method is implemented on a mobile device having a near field communication (NEC) NFC function. A first emulated card and a second emulated card are configured on the mobile device, When detecting an NFC radio frequency field, the mobile device detects whether there is fingerprint input. The mobile device selects the first emulated card if there is the fingerprint input. The mobile device selects the second emulated card if there is no fingerprint input. The mobile device performs NEC interaction with the NFC card reader based on the selected first emulated card or second emulated card. The mobile device can automatically select an emulated card in different emulated cards based on a card swiping status when a user uses an NEC emulated card.

Emulated card selection method and mobile device

A wrinkle detection method includes: obtaining an original image, where the original image includes a face; adjusting a size of an ROI region on the original image to obtain at least two ROI images of different sizes, where the ROI region is a region in which a wrinkle on the face is located. A terminal device processes all the at least two ROI images of different sizes to obtain at least two binary images, where a white region in each binary image is a region in which a wrinkle is suspected to appear. The terminal device fuses the at least two binary images to obtain a final image, where a white region on the final image is recognized as a wrinkle.

Wrinkle detection method and terminal device

A wrinkle detection method includes: rotating a region, in a face image, in which a wrinkle needs to be detected, to obtain a plurality of to-be-detected images; determining wrinkle points from all pixel points based on grayscale values of the pixel points in each of the to-be-detected images with different angles; determining at least one wrinkle line based on the wrinkle points; and then displaying, by the electronic device, the wrinkle line in the region in which the wrinkle needs to be detected, where each wrinkle line indicates one wrinkle in each of the to-be-detected images.

Wrinkle detection method and electronic device

A multiple access method includes: obtaining, by a user equipment (UE), first source information; extracting a semantic feature of the first source information to obtain a first semantic feature sequence; performing a joint source-channel coding on the first semantic feature sequence to obtain a first semantic information sequence; mapping the first semantic information sequence into preset time-frequency resources of an uplink multiple access channel; and transmitting the first semantic information sequence through the uplink multiple access channel.

Multiple access method and related device

An image acquisition method includes acquiring a first image based on a first photographing parameter, where the first image includes a first to-be-detected item, acquiring a second image based on a second photographing parameter, where the second image includes a second to-be-detected item, and determining, based on the first image and the second image, a detection result corresponding to the first to-be-detected item and a detection result corresponding to the second to-be-detected item.

Image acquisition method, apparatus, and terminal

A skin detection method includes: dividing a region of interest in a face image into a highlighted region and a non-highlighted region; separately determining a first segmentation threshold of the highlighted region and a second segmentation threshold of the non-highlighted region; obtaining a binary image of the highlighted region based on the first segmentation threshold, and obtaining a binary image of the non-highlighted region based on the second segmentation threshold; fusing the binary image of the highlighted region and the binary image of the non-highlighted region; and identifying, based on a fused image, pores and/or blackheads included in the region of interest.

Skin detection method and electronic device

A dark circle detection and evaluation method includes: obtaining a to-be-processed image; extracting a dark circle region of interest from the to-be-processed image; performing color clustering on the dark circle region of interest to obtain n types of colors in the dark circle region of interest, where n is a positive integer; recognizing a dark circle region in the dark circle region of interest based on the n types of colors; and obtaining a dark circle evaluation result based on the dark circle region.

Dark circle detection and evaluation method and apparatus

A skin detection and evaluation method includes: obtaining a face image of a user; detecting a skin problem that appears in the face image; prompting in a first interface, the user that the skin problem appears on a face, wherein the first interface comprises the face image; and displaying a second interface in response to a first operation performed by the user in the first interface, wherein the second interface comprises a first facial simulated image obtained after the skin problem is aged; or displaying a third interface in response to a second operation performed by the user in the first interface, wherein the third interface comprises a second facial simulated image obtained after the skin problem is de-aged.

A face recognition-based method includes, when a terminal detects a placement posture on the terminal, obtaining placement posture information of the terminal, where the placement posture information is used to determine a tilt angle of the terminal relative to a first plane; performing facial recognition on a user when determining that a tilt angle meets a preset range without notifying the user and regardless of detecting an action of the terminal other than obtaining the placement posture information; and opening the application when the facial recognition succeeds.

Facial recognition-based payment method, apparatus, and terminal

A method includes: collecting an original signal in a specified time interval, and performing combined acceleration processing on the original signal to obtain a combined acceleration signal; performing state processing on the combined acceleration signal to obtain a motion time interval, and extracting a plurality of feature groups from the combined acceleration signal according to a preset motion rule; and performing screening on the plurality of feature groups to obtain a first feature group, extracting a median value from the first feature group, and obtaining a stride frequency in the specified time interval based on the median value and a collection frequency, and obtaining a quantity of steps through calculation based on the motion time interval and the stride frequency.

Method and apparatus for counting foot step based on stride frequency, and device

An eye open or closed state detection method, in addition to an eye opening feature, an iris shape feature and/or a vertical direction feature are added to identify the eye open or closed state, where the eye opening feature is used to represent an eye opening degree, the iris shape feature is used to represent a shape of an iris of an eye, and the vertical direction feature is used to represent a change degree of an eyelid curve.

Eye open or closed state detection method and electronic device

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Beijing, China

Chen Dong