Qualcomm Incorporated

Wistron Neweb Corporation

Wei-Lun Chang

Michel Adib Sarkis

Chieh-Ming Kuo

Kuang-Man Huang

Wen-Jiun Lin

Jimmy Cuong Tran

Yu-Min Ho

Methods, systems, and apparatuses are provided to automatically reconstruct an image, such as a 3D image. For example, a computing device may obtain an image, and may apply a first trained machine learning process to the image to generate coefficient values characterizing the image in a plurality of dimensions. Further, the computing device may generate a mesh based on the coefficient values. The computing device may apply a second trained machine learning process to the coefficient values and the image to generate a displacement map. Based on the mesh and the displacement map, the computing device may generate output data characterizing an aligned mesh. The computing device may store the output data within a data repository. In some examples, the computing device provides the output data for display.

Apparatus and methods for image reconstruction using machine learning processes

A method for configuring a plurality of antennas in a wireless communication device, including using at least a plurality of representative antennas of the plurality of antennas to receive RF signals from a cell with a specific cell identity, determining a status of an RF environment corresponding to the wireless communication device according to the received RF signals, and selecting at least an antenna from the plurality of antennas for transmission or reception of following RF signals according to the status of the RF environment.

Method for configuring multiple antennas and related wireless communication device

Growing community of inventors

Hsinchu, Taiwan

Wei-Lun Chang