Panasonic Intellectual Property Corporation of America

Shopee IP Singapore Private Limited

Panasonic Corporation

National University of Singapore

Visenze Pte Ltd

Shuicheng Yan

Ryouichi Kawanishi

Zhongyang Huang

Yang Hua

Zheng Song

Si Liu

Qiang Chen

Sheng Mei Shen

Lijuan Liu

Xiangyu Xu

Zhongwen Xu

Rundong Wang

Systems, methods, and non-transitory computer-readable mediums are provided for an improved system for determining a response strategy to a set of messages received by at least one agent of a plurality of agents. For example, a system may be configured to obtain a set of messages received by at least one agent of a plurality of agents. Additionally, the system may be configured to categorize each message of the set of messages into an asynchronous category or a synchronous category. Moreover, the system may be configured to determine a significance parameter indicative of an importance of the received content parameter of each of at least two asynchronous messages. Further, the system may be configured to determine, for the at least one agent, a response signal related to the response strategy. In some examples, response signal may be determined based on the significance parameter.

System and method for determining a response strategy to a set of messages

A method for estimating the shape and pose of a body includes obtaining an image of the body, extracting image features, and transforming the image features to a set of parameter values describing the body's shape and pose using a transformer comprising a cascade of transformer units, wherein each transformer unit operates on a representation of a respective version of the set of parameter values and modifies the representation of the respective version of the set of parameter values by the image features weighted by an attention of the respective version of the set of parameter values to the image features in sequence with a self-attention layer modifying the representation of the respective version of the set of parameter values by components of the representation of parameter values weighted by an attention between the components of the representation of the respective version of the set of parameter values to themselves.

Device and method for estimating the shape and pose of a body

A clothing search system provides a clothing search to users using a component-based image search. Retailer catalogs are analyzed to determine clothing components within clothing images. Features associated with the components are determined. When a user requests a clothing search, the clothing search system selects clothing based on the components and features requested by the user. The user may also provide an image to the clothing search system. The clothing search system determines components and features of the image and identifies clothing with matching components.

Interactive clothes searching in online stores

An image processing device combines a plurality of contents (e.g. videos) with a story line retained as much as possible, while reducing view's discomfort. The image processing device compares one of the contents, which contains a first partial content and a second partial content subsequent to the first partial content, with another one of the contents, which contains a plurality of consecutive partial contents; detects, as a third partial content, a partial content with the highest similarity value from among the plurality of partial contents; and generates relational information by using the highest similarity value obtained by the first processing unit. The relational information is then used for merging the first partial content, the second partial content and the third partial content.

Image processing device, image processing method, image processing program, and integrated circuit

An image recognition device that improves the accuracy of generic object recognition compared with conventional technologies by reducing the influence of the position, size, background clutter and the like of an object that is targeted to be recognized in the input image by the generic object recognition. The image recognition device performs a generic object recognition and includes: a segmenting unit configured to segment an input image into a plurality of regions in accordance with meanings extracted from content of the input image; a generating unit configured to compute feature data for each of the plurality of regions and generate feature data of the input image reflecting the computed feature data; and a checking unit configured to check whether or not a recognition-target object is present in the input image in accordance with the feature data of the input image.

Image recognition device, image recognition method, and integrated circuit

The present invention provides an image recognition apparatus with enhanced performance and robustness. In an image recognition apparatus, an image classification information accumulating unitstores therein feature information defining visual features of various objects obtained through a learning process. For classification of input images, an image feature obtaining unitextracts descriptors indicating features from each input image, image vocabularies corresponding to the descriptors are voted, and a classifying unitcalculates existence probabilities of one or more candidate objects, based on the result of the voting. According to the existence probabilities, objects contained in the image is identified. Through the calculation, the existence probabilities are adjusted by an exclusive classifier, based on exclusive relationship information defining exclusive object sets each containing different objects (object labels) predicted not to coexist in a same image.

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Singapore, Singapore

Shuicheng Yan