Chen J Sun

US Patent:

20220406001, Dec 22, 2022

Filed:

Jun 21, 2021

Appl. No.:

17/353296

Inventors:

- Grand Cayman, KY
Haiying Cheng - Culver City CA, US
Chen Sun - Los Angeles CA, US

International Classification:

G06T 15/04
G06K 9/00
G06T 17/20
G06T 13/20
G10L 25/48
G10L 25/03

Abstract:

Systems and methods for generating a virtual article of clothing at a display are described. Some examples may include: obtaining video data and audio data, analyzing the video data to determine one or more body joints of a target object appearing in the video data. A mesh based on the determined one or more body joints may be generated. The audio data may be analyzed to determine audio characteristics associated with the audio data. Texture rendering information associated with a virtual article of clothing may be determined based on the audio characteristics. A rendered video may be generated by rendering the virtual article of clothing to the generated mesh using the texture rendering information.

US Patent:

20220406337, Dec 22, 2022

Filed:

Jun 21, 2021

Appl. No.:

17/353441

Inventors:

- Grand Cayman, KY
Zihao Chen - Los Angeles CA, US
Chen Sun - Los Angeles CA, US

International Classification:

G11B 27/031

Abstract:

Systems and methods for rendering a segmentation contour effect are described. More specifically, video data including one or more video frames and audio data are obtained. Based on the video data, one or more segments in each of the one or more video frame are determined. The audio data is analyzed to determine beat characteristics of each beat. A segmentation contour effect to be applied to the one or more segments in the video data is determined based on the beat characteristics. A rendered video is generated by synchronizing the segmentation contour effect to audio data.

US Patent:

20170046613, Feb 16, 2017

Filed:

Apr 5, 2016

Appl. No.:

15/091490

Inventors:

- Menlo Park CA, US
Lubomir Bourdev - Mountain View CA, US
Ronan Stéfan Collobert - Los Altos CA, US
Chen Sun - Los Angeles CA, US

International Classification:

G06N 3/04
G06N 3/08

Abstract:

Systems, methods, and non-transitory computer-readable media can obtain a content item to be evaluated by a set of cascaded convolutional neural networks, the set of cascaded convolutional neural networks including at least a first convolutional neural network (CNN) and a second CNN. The content item can be provided to the first CNN as input, wherein an output of the first CNN includes data describing at least one region of interest in the content item and at least one first concept corresponding to the region of interest. The output of the first CNN can be provided to the second CNN as input, wherein an output of the second CNN includes data describing at least one second concept corresponding to the region of interest, the second concept being more accurate than the first concept.