Jd.com American Technologies Corporation

Beijing Jingdong Shangke Information Technology Co., Ltd.

Beijing Wodong Tianjun Information Technology Co., Ltd.

Chumeng Lyu

Xiaochuan Fan

Hongda Mao

Dan Miao

Wei Xiang

Weidong Zhang

A method and a system for garment try-on. The method includes: capturing a three dimensional (3D) image of a customer; obtaining first 3D pose of the customer in the 3D image; performing a machine learning model on the 3D pose to generate a first skinned multi-person linear model (SMPL) pose; calculating an angle of the whole body rotation of the customer based on the first SMPL pose; when the angle is in a predefined range relative to a front direction of the customer: constructing an SMPL model using the first SMPL pose; and when the angle is out of the predefined range: generating a second SMPL pose using two dimensional (2D) component of the 3D image, and constructing the SMPL model using the second SMPL pose.

System and method for 3D try-on based on human pose and body shape estimation

System and method for simultaneous object detection and semantic segmentation. The system includes a computing device. The computing device has a processor and a non-volatile memory storing computer executable code. The computer executable code, when executed at the processor, is configured to: receive an image of a scene; process the image using a neural network backbone to obtain a feature map; process the feature map using an object detection module to obtain object detection result of the image; and process the feature map using a semantic segmentation module to obtain semantic segmentation result of the image. The object detection module and the semantic segmentation module are trained using a same loss function comprising an object detection component and a semantic segmentation component.

System and method for real-time, simultaneous object detection and semantic segmentation

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Mountain View, CA, United States of America

Chumeng Lyu