Javier R Leon

US Patent:

20210279506, Sep 9, 2021

Filed:

Mar 4, 2021

Appl. No.:

17/191718

Inventors:

- Santa Clara CA, US
Nilesh AHUJA - Cupertino CA, US
Javier FELIP LEON - Hillsboro OR, US

International Classification:

G06K 9/62
G06K 9/00

Abstract:

Estimating a head pose may include obtaining sensor data corresponding to a head and at least a portion of the body of a human subject and determining an estimate of a three-dimensional (3D) body pose using the obtained sensor data. The estimation can further include generating a first rendering of at least the human subject's head using the obtained sensor data and generating a plurality of head pose sample data sets by applying the estimated 3D body pose to a head-pose generative model. Further, the head pose estimation can include generating a plurality of second renderings respectively from each of the plurality of head pose sample data sets; determining which of the plurality of second renderings is closest to the first rendering; and selecting the second rendering determined to be closest to the first rendering.

US Patent:

20190325292, Oct 24, 2019

Filed:

Jun 28, 2019

Appl. No.:

16/457413

Inventors:

- Santa Clara CA, US
Justin Gottschlich - Santa Clara CA, US
Javier Sebastian Turek - Beaverton OR, US
Ignacio Javier Alvarez - Portland OR, US
David Israel Gonzalez Aguirre - Hillsboro OR, US
Javier Felip Leon - Hillsboro OR, US

International Classification:

G06N 3/04
G06F 16/28
G06F 16/245
G06F 16/901
G06N 3/08

Abstract:

Methods, apparatus, systems and articles of manufacture for providing query selection systems are disclosed. An example query selection system includes a processor to: analyze a graph database; identify respective ones of objects associated with the graph database; obtain properties associated with the objects; identify common properties present in the respective ones of the objects; in response to determining the common properties present in the identified objects, output a list of the common properties corresponding to the respective ones of the objects; generate a table for the common properties and the respective ones of the objects; and populate the table with the common properties and the respective ones of the objects from the graph database to establish a relational database. The system further includes a machine learning model classifier to enable relational database query searching via the relational database.

US Patent:

20190051015, Feb 14, 2019

Filed:

Jan 12, 2018

Appl. No.:

15/869933

Inventors:

- Santa Clara CA, US
Omar Florez - Sunnyvale CA, US
Julio Zamora Esquivel - Zapopan, MX
Mahesh Subedar - Laveen AZ, US
Javier Felip Leon - Hillsboro OR, US
Rebecca Chierichetti - Brookings OR, US
Andrea Johnson - Beaverton OR, US
Glen Anderson - Beaverton OR, US

Assignee:

Intel Corporation - Santa Clara CA

International Classification:

G06T 7/80
G06T 7/00
G06T 7/32

Abstract:

In one example a management system for an autonomous vehicle, comprises a first image sensor to collect first image data in a first geographic region proximate the autonomous vehicle and a second image sensor to collect second image data in a second geographic region proximate the first geographic region and a controller communicatively coupled to the first image sensor and the second image sensor and comprising processing circuitry to collect the first image data from the first image sensor and second image data from the second image sensor, generate a first reliability index for the first image sensor and a second reliability index for the second image sensor, and determine a correlation between the first image data and the second image data. Other examples may be described.