Alibaba Group Holding Limited

Shenzhen China Star Optoelectronics Technology Co., Ltd.

Huawei Technologies Co., Limited

Boe Technology Group Co., Ltd.

Beijing Xiaomi Mobile Software Co., Ltd.

Abb Schweiz Ag

Abb Research Ltd.

Tcl China Star Optoelectronics Technology Co., Ltd.

Ordos Yuansheng Optoelectronics Co., Ltd.

Sz Dji Technology Co., Ltd.

Ge Precision Healthcare LLC

Honor Device Co., Ltd.

O2micro International Limited

State Grid Corporation of China

Apollo Intelligent Driving Technology (beijing) Co., Ltd.

Zhao Wang

Yan Ye

Jiancong Luo

Jiangbing Xie

Dan Cao

Siwei Ma

Hang Yin

Haitao Yang

Ying Li

Jun Xiao

Yafang Zhang

Jian Zhang

Dong Wang

Qiang Zhang

Jinfeng Liu

Yao Liang Chen

Shan Gao

Bernhard Deck

RongRong Yu

Mingjong Jou

Fengcheng Xu

Haiyan Xu

Huan Tang

Fuyi Wang

Xianhui Dong

Wenlong Zhao

Hyunjin Kim

Wenbo Tian

Shurun Wang

Lei Zhang

Lin Ma

Xiaozhen Zheng

Jun Li

Ru-Ling Liao

Rui Zhang

Yu Wu

Yu-Yeh Chen

Jianping Wang

Yongchuan Lai

Zhe Yang

Le Sun

Shiqi Wang

Zhuoyi Lv

Qing Yu

Cong Chen

Hector Zelaya De La Parra

Robert Saers

Yin-hung Chen

Lingsong Zhou

Xianglong Li

Pengfei Lu

Jianbo Zhu

Ruiqing Xu

Dave Xiao Dong Yang

Chengbin Liu

Xiaobing Dong

Yifeng Ding

Pengshuai Wang

Xiaoxia Yang

Xuwu Ge

Mingquan Qiu

Ping Chen

Qijing Xing

Dapeng Duan

Huanna Niu

Changyue Ma

Zongsheng Li

Hanbei Zhang

Dave Xiaodong Yang

Anqi Liang

Shuang Zeng

Shuyan Guo

Xiaoqiang Cui

Lianjie Tao

Fulin Cheng

Zhencao Zhang

Jialin Zhu

Jinfeng Zhou

David Xiao Dong Yang

Jukka Kinnunen

A video processing method is provided. The method includes inserting a set of spatial merge candidates to a first merge candidate list of a coding block, wherein the first merge candidate list is constructed by: adding a top neighboring block Bto the first merge candidate list when the top neighboring block Bis available; adding a left neighboring block Ato the first merge candidate list when the left neighboring block Ais available; adding a top neighboring block Bto the first merge candidate list when the top neighboring block Bis available; adding a left neighboring block Ato the first merge candidate list when the left neighboring block Ais available; and adding an above-left neighboring block Bto the first merge candidate list when the above-left neighboring block Bis available.

Methods for constructing a merge candidate list

Provided in embodiments of the present invention are a magnetic resonance image processing method and device, and a computer-readable storage medium. The method includes: determining a central angle; converting, on the basis of the central angle, a radio-frequency field pattern of a radio-frequency transmitting coil into an angular pattern; acquiring, on the basis of a trigonometric function value of the angular pattern, a radio-frequency transmitting field pattern of the radio-frequency transmitting coil; and correcting, on the basis of the radio-frequency transmitting field pattern, a magnetic resonance image to be corrected.

Magnetic resonance image processing method and device, and computer readable storage medium

The present disclosure provides methods and systems for motion compensation. The method can include: determining a plurality of intermediate interpolation coefficients of an interpolation filter, the determining of the plurality of intermediate interpolation coefficients being: based on positions of a plurality of integer samples respectively, and based on fractional reference positions of a plurality of fractional samples respectively; determining a plurality of integer interpolation coefficients of the interpolation filter by rounding the plurality of intermediate interpolation coefficients to a plurality of integers respectively; and applying the plurality of integer interpolation coefficients on a picture to perform motion compensation prediction.

Motion compensation methods for video coding

An image data encoding method is provided. The image data encoding method includes receiving an input image and a quantization parameter (QP); performing pre-analysis of the input image based on the QP to obtain input image data for machine version; determining at least one of a temporal redundancy or a spatial redundancy of the input image data; determining, based on the at least one of temporal redundancy or spatial redundancy, whether to perform at least one of temporal down-sampling or spatial down-sampling; performing down-sampling of the input image data according to the determination, wherein the down-sampling includes at least one of temporal down-sampling or spatial down-sampling; and encoding the down-sampled image data based on the QP.

Methods and non-transitory computer readable storage medium for pre-analysis based resampling compression for machine vision

The present disclosure provides methods for performing training and executing of a multi-density neural network in video processing. An exemplary method comprises: receiving a video stream comprising a plurality of pictures; processing the plurality of pictures using a first branch of a first block in the neural network, wherein the neural network is configured to reduce blocking artifacts in video compression of the video stream and the first branch comprises one or more residual blocks; and processing the plurality of pictures using a second branch of the first block in the neural network, wherein the second branch comprises a down-sampling processing, an up-sampling processing, and one or more residual blocks.

Neural network based in-loop filtering for video coding

The present invention discloses a method for making an aspheric vision correction lens with controlled peripheral defocus. The present invention also discloses a vision correction lens worn outside the eye, an orthokeratology lens and an intraocular lens made according to the method. The present invention further discloses a diagnosis and treatment method that utilizes myopic peripheral defocus to control and retard myopia growth.

Vision correction lens and method for preparation of the same

A delivery site and delivery method are provided, the delivery site includes: a building having a storage space configured to store an article and a drone apron configured to allow a drone to land thereon, an article receiving device at least partially arranged in the building and configured to receive an article unloaded from the drone on the drone apron, and an article sorting device arranged in the building, and configured to sort a received article into the storage space.

Delivery site and delivery method

An unmanned aerial vehicle airport, an unmanned aerial vehicle system, a tour inspection system and an unmanned aerial vehicle cruise system. The unmanned aerial vehicle airport comprises a support base, a parking apron, a protective cover and a protective cover opening and closing driving device. The parking apron is installed on the top of the support base; the protective cover covers the top of the apron; the protective cover opening and closing driving device is installed between the support base and the protective cover, and the protective cover opening and closing driving device is configured to cause a bar linkage mechanism to drive the protective cover to switch between an open position and a closed position. The unmanned aerial vehicle airport is provided with the protective cover for the parking apron. If the protective cover is open, the unmanned aerial vehicle is parked on the parking apron, and takes off from the parking apron.

Unmanned aerial vehicle airport, unmanned aerial vehicle system, tour inspection system and unmanned aerial vehicle cruise system

A video processing method is provided. The method includes inserting a set of spatial merge candidates to a first merge candidate list of a coding block, wherein the first merge candidate list is constructed by: adding a top neighboring block B1 to the first merge candidate list when the top neighboring block B1 is available; adding a left neighboring block A1 to the first merge candidate list when the left neighboring block A1 is available; adding a top neighboring block B0 to the first merge candidate list when the top neighboring block B0 is available; adding a left neighboring block A0 to the first merge candidate list when the left neighboring block A0 is available; and adding an above-left neighboring block B2 to the first merge candidate list when the above-left neighboring block B2 is available.

A method for temporal resampling for multi-task machine vision is provided. The method includes receiving a bitstream of a video sequence after temporal resampling; and constructing a target frame from the bitstream using a frame construction model.

Methods and systems for temporal resampling for multi-task machine vision

A transaction harmony degree-based method and system for transaction matching between a power grid and building energy. The method includes: obtaining a transaction harmony degree of a historical transaction cycle; sending, by using a blockchain, the transaction harmony degree to a corresponding building energy user, and sending a maximum compensated electricity price and an expected compensated electricity price in peak-valley regulation to all building energy users; determining, by each building energy user, a transaction-based compensated electricity price in the peak-valley regulation based on the received transaction harmony degree and the received maximum compensated electricity price and expected compensated electricity price in the peak-valley regulation, and feeding back the transaction-based compensated electricity price in the peak-valley regulation to a power grid; and determining, by the power grid, a building energy user that successfully performs transaction matching with the power grid.

Transaction harmony degree-based method and system for transaction matching between power grid and building energy

The present disclosure provides methods for convolutional-neural-network (CNN) based filter for video coding. An exemplary method includes: applying motion estimation to a target coding block, to determine a reference block of the target coding block; inputting, to a convolutional neural network (CNN) filter, image data associated with the target coding block and the reference block; and executing the CNN filter to determine a residual associated with the target coding block based on the input image data.

Convolutional-neutral-network based filter for video coding

The present invention relates to an aspherical multifocal intraocular lens with large depth of field, the intraocular lens having an anterior optical surface and a posterior optical surface, wherein one optical surface is distributed with an aspherical surface which plays a role of expanding the depth of field, and the other optical surface is distributed with a multifocal structure which plays a role of providing two or more focal points. The aspherical surface provides a depth of field matching with an absolute value of a difference in refractive power of at least one pair of adjacent focal points of the two or more focal points provided by the multifocal structure. The aspherical surface, on the one hand, allows a continuous visual range between the focal points and, on the other hand, extends near vision in the direction of near focal point through the depth of field, thereby enabling continuous, uninterrupted full-range vision and adequate near vision. The present invention also relates to a method for manufacturing an intraocular lens. The present invention also relates to an artificial lens, and more particularly to an artificial lens that makes use of excessive resolution to achieve focal extension. The present invention also relates to a method for manufacturing an artificial lens.

Intraocular lens and manufacturing method therefor

Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for information processing. The method may be applied to an electronic equipment. The electronic equipment may collect environmental audio information when the electronic equipment plays multimedia. The electronic equipment may also perform noise detection on the environmental audio information to determine whether the environmental audio information represents a target noise scenario. The electronic equipment may also process a parameter of the multimedia played by the electronic equipment when the environmental audio information represents the target noise scenario.

Information processing method, electronic equipment, and storage medium

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Beijing, China

Zhao Wang