Microsoft Technology Licensing, LLC

China Petroleum & Chemical Corporation

Beijing Research Institute of Chemical Industry, China Petroleum & Chemical Corporation

Google Inc.

Motorola Mobility LLC

Ning Xu

Bin Benjamin Zhu

Jia Liu

Jin Fang Yang

Wei Zhang

Ling Han

Guixiang Zhu

Harpreet Singh Sawhney

Wenxi Ji

Shipeng Li

Amol Ashok Ambardekar

Weisheng Li

Ben Appleby

Anupama Janardhan

Wenjie Liang

Churli Su

Binyan Chen

Yi Zou

Karissa C Larson

Qiujie Li

Ashraf A Michail

Mark Stefan Grossman

Peng Guo

Zsolt Mathe

Pedro Urbina Escos

Sheng Kai Tang

Nakul Garg

Muhammad Zeeshan Zia

Andrey Konin

Georg Klein

Andrew Martin Pearson

William Douglas Guyman

Mingfu Lyu

Cui Zheng

Taoyi Zhang

Wei-Qiang Guo

Amit Khanna

Michael Dobrzynski

Daran Cai

Bilha-Catherine W Githinji

Hai Xin

Moses Obadeji Olafenwa

A biodegradable film is prepared from a composition that includes a copolyester obtained by extrusion reaction of a branched aliphatic-aromatic copolyester derived from monomer a, monomer b, monomer c and monomer d with an organic peroxide. The film can be completely degraded into small molecular products such as carbon dioxide, water and the like under natural or composting conditions. Moreover, the film can be prepared having a thickness of 4-50 μm as required, and its mechanical properties can reach the same level as or even better than those of LDPE film.

High strength ultra-thin biodegradable film and preparation method thereof

Examples are disclosed that relate to representing recorded hand motion. One example provides a computing device comprising a logic subsystem and a storage subsystem comprising instructions executable by the logic subsystem to receive a recorded representation of hand motion determined relative to a virtual model aligned to a first instance of an object, receive image data corresponding to an environment, and recognize a second instance of the object in the environment. The instructions are further executable to align the virtual model to the second instance of the object, and output a parametric representation of hand motion for display relative to the virtual model as aligned to the second instance of the object, such that the parametric representation is spatially consistent with the recorded representation of hand motion relative to the virtual model as aligned to the first instance of the object.

Spatially consistent representation of hand motion

An image data annotation system automatically annotates a physical object within individual images frames of an image sequence with relevant object annotations based on a three-dimensional (3D) model of the physical object. Annotating the individual image frames with object annotations includes updating individual image frames within image input data to generate annotated image data that is suitable for reliably training a DNN object detection architecture. Exemplary object annotations that the image data annotation system can automatically apply to individual image frames include, inter alia, object pose, image pose, object masks, 3D bounding boxes composited over the physical object, 2D bounding boxes composited over the physical object, and/or depth map information. Annotating the individual image frames may be accomplished by aligning the 3D model of the physical object with a multi-view reconstruction of the physical object that is generated by inputting an image sequence into a Structure-from-Motion and/or Multi-view Stereo pipeline.

Aligning input image data with model input data to generate image annotations

A method for object recognition includes, at a computing device, receiving an image of a real-world object. An identity of the real-world object is recognized using an object recognition model trained on a plurality of computer-generated training images. A digital augmentation model corresponding to the real-world object is retrieved, the digital augmentation model including a set of augmentation-specific instructions. A pose of the digital augmentation model is aligned with a pose of the real-world object. An augmentation is provided, the augmentation associated with the real-world object and specified by the augmentation-specific instructions.

Real-world object recognition for computing device

Hosted services provided by service provider tenants to their users are an increasingly common software usage model. The usage of such services and handling of data may be subject to regulatory, legal, and industry-based rules, where different rules may be applicable depending on the particular service, handled data, and organization type, for example. Embodiments are directed to providing intelligence and analysis driven security and compliance suggestions for hosted services to reduce the burden on tenant administrators to determine and implement applicable policies and rules. Claims are directed to determination of a suggestion based on an analysis of a tenant's service environment, presentation of the suggestion along with analysis results and a prompt to confirm implementation of the suggestion, and upon receiving confirmation, presentation of an option to customize the suggestion by modifying settings suggested based on analysis results. The suggestion may be a policy, organization, policy customization, or organization customization.

Intelligence and analysis driven security and compliance recommendations

Computer systems, devices, and associated methods of content pattern based automatic document classification are disclosed herein. In one embodiment, a method includes receiving a document and a sequence of words corresponding to a document class having a class label from a network storage. The method also includes determining a longest common subsequence of words between the words in the document and the sequence of words and calculating a similarity percentage between the document and the sequence of words based on the determined longest common subsequence. When the calculated similarity percentage is above a threshold, the class label corresponding to the document class is automatically applied to the received document in the network storage.

Content pattern based automatic document classification

Examples are disclosed that relate to depth-aware late-stage reprojection. One example provides a computing system configured to receive and store image data, receive a depth map for the image data, processing the depth map to obtain a blurred depth map, and based upon motion data, determine a translation to be made to the image data. Further, for each pixel, the computing system is configured to translate an original ray extending from an original virtual camera location to an original frame buffer location to a reprojected ray extending from a translated camera location to a reprojected frame buffer location, determine a location at which the reprojected ray intersects the blurred depth map, and sample a color of a pixel for display based upon a color corresponding to the location at which the reprojected ray intersects the blurred depth map.

Depth-aware reprojection

Disclosed is a method for a femtocell to reduce interference with an overlapping macrocell. The femtocell determines soft-frequency-reuse ('SFR') information of the macrocell. From that information, the femtocell determines which frequency subchannels are assigned by the macrocell for its cell-center users and which frequency subchannels are assigned for cell-edge users. (Cell-edge users are given a higher transmission power profile in order to overcome potential interference with neighboring macrocells.) Then, the femtocell selects from the cell-center user frequency sub-channels for transmission to the femtocell's users. By transmitting on the cell-center user frequency sub-channels, the femtocell reduces interference with the overlapping macro cell. The femtocell continues to update its knowledge of the macrocell's SFR information and re-assigns frequency sub-channels as the SFR changes. If the macrocell detects that one of its cell-center users is 'close enough' to the femtocell, then the macrocell re-assigns the cell-center user as a cell-edge user to overcome interference.

Radio network environment reducing interference among overlapping cells

Techniques for an image-based CAPTCHA for object recognition are described. The disclosure describes adding images to a database by collecting images by querying descriptive keywords to an image search engine or crawling images from the Internet. The disclosure describes generating the image-based CAPTCHA. The image is retrieved from the database, along with objects having significant values. An object is cropped from its image. The portion on the image where the object has been cropped is filled with image inpainting. The process obtains other objects from the database. The object is mixed among the other objects to from a set of candidate objects. A user is asked to select 'the object' from the set of candidate objects that fits or matches the image. The image-based CAPTCHA evaluates whether a response, the selection, is from a human or a bot.

Image-based CAPTCHA exploiting context in object recognition

The present invention relates to a transparent copolyester, wherein the transparent copolyester comprises an aliphatic-aromatic copolyester segment A, a segment B having repeating units &#x2014;O&#x2014;CH(CH)&#x2014;C(O)&#x2014;, and structural units C derived from polyisocyanate(s), wherein the weight ratio for the segment A, segment B and structural unit C is 100:(100-2000):(0.1-10) and wherein the weight-average molecular weight Mw of the transparent copolyester is from 50,000 to 1,000,000. The present invention further relates to a preparation method for a transparent copolyester, including polymerizing lactide, a hydroxyl-terminated aliphatic-aromatic copolyester and a polyisocyanate in the presence of a catalyst; wherein the weight ratio for the aliphatic-aromatic copolyester, lactide and polyisocyanate is 100:(100-2000):(0.1-10). The present invention further relates to a transparent copolyester prepared by said method and an article made from the transparent copolyester according to present invention.

Transparent copolyester, preparing method thereof and articles made from the same

Disclosed is a method for a femtocell to reduce interference with an overlapping macrocell. The femtocell determines soft-frequency-reuse ('SFR') information of the macrocell. From that information, the femtocell determines which frequency sub-channels are assigned by the macrocell for its cell-center users and which frequency sub-channels are assigned for cell-edge users. (Cell-edge users are given a higher transmission power profile in order to overcome potential interference with neighboring macrocells.) Then, the femtocell selects from the cell-center user frequency sub-channels for transmission to the femtocell's users. By transmitting on the cell-center user frequency sub-channels, the femtocell reduces interference with the overlapping macrocell. The femtocell continues to update its knowledge of the macrocell's SFR information and re-assigns frequency sub-channels as the SFR changes. If the macrocell detects that one of its cell-center users is 'close enough' to the femtocell, then the macrocell re-assigns the cell-center user as a cell-edge user to overcome interference.

In a radio network environment, reducing interference among overlapping cells

The overlay human interactive proof system ('OHIPS') and techniques described herein operate in conjunction with any known or later developed computer-based applications or services to provide secure access to resources by reliably differentiating between human and non-human users. Humans have a generally superior ability to differentiate misaligned characters or objects from correctly aligned ones. As such, the OHIP splits an image including one or more visual objects into two or more partial images to form a HIP. The partial images may also be further split into groups of sub-partial images, and/or the partial images (or the sub-partial images) may be moved, so that at any given alignment position, a user can recognize only some visual objects. A user is instructed to reassemble the partial images at one or more predetermined alignment positions using a GUI, and the user is asked to identify information regarding one or more visible objects.

Overlay human interactive proof system and techniques

The present invention relates to a biodegradable composite and its preparation process, which composite is prepared by mixing feed stocks comprising a polylactic acid, an aliphatic-aromatic copolyester A, an aliphatic-aromatic copolyester B and an organic peroxide at a temperature between about 100 and about 200&#xb0; C. The present invention also relates to a disposable article, which is prepared from said biodegradable composite.

Biodegradable composite, the preparation process thereof, and a disposable article made therefrom

Techniques for an image-based CAPTCHA for object recognition are described. The disclosure describes adding images to a database by collecting images by querying descriptive keywords to an image search engine or crawling images from the Internet. The disclosure describes generating the image-based CAPTCHA. The image is retrieved from the database, along with objects having significant values. An object is cropped from its image. The portion on the image where the object has been cropped is filled with image inpainting. The process obtains other objects from the database. The object is mixed among the other objects to form a set of candidate objects. A user is asked to select 'the object' from the set of candidate objects that fits or matches the image. The image-based CAPTCHA evaluates whether a response, the selection, is from a human or a bot.

Growing community of inventors

Beijing, China

Ning Xu