Peter E Lin

US Patent:

D600975, Sep 29, 2009

Filed:

Mar 13, 2008

Appl. No.:

29/301681

Inventors:

Peter Chi Lin - City of Industry CA, US

International Classification:

0701

US Classification:

D 7397, D7213, D7323

US Patent:

20070181559, Aug 9, 2007

Filed:

Feb 7, 2006

Appl. No.:

11/349809

Inventors:

Peter Lin - City of Industry CA, US

International Classification:

F27D 11/00

US Classification:

219441000

Abstract:

A cooking pot includes a cooking container, an electric heat generator, and a control sensor. The cooking container has a cooking cavity and defines a bottom wall thereof. The electric heat generator includes a heat generating module, which is adapted for electrically connecting with a power source, supported within the cooking cavity of the cooking container at the bottom wall thereof, wherein the heat generating module has an upper heating surface for transmitting heat within the cooking cavity. The control sensor is mounted within the cooking cavity of the cooking container to operatively control the heat generating module in an on-and-off manner, wherein the control sensor has a sensor point positioned above the heating surface of the heat generating module such that a distance between the bottom wall and the sensor point is larger than a distance between the bottom wall and the heating surface of the heat generating module.

US Patent:

20230044969, Feb 9, 2023

Filed:

Aug 6, 2021

Appl. No.:

17/396055

Inventors:

- Grand Cayman, KY
Peter LIN - Los Angeles CA, US
Imran SALEEMI - Los Angeles CA, US

International Classification:

G06T 7/194
G06T 7/11
G06T 3/40
G06K 9/00

Abstract:

The present disclosure describes techniques of improving video matting. The techniques comprise extracting features from each frame of a video by an encoder of a model, wherein the video comprises a plurality of frames; incorporating, by a decoder of the model, into any particular frame temporal information extracted from one or more frames previous to the particular frame, wherein the particular frame and the one or more previous frames are among the plurality of frames of the video, and the decoder is a recurrent decoder; and generating a representation of a foreground object included in the particular frame by the model, wherein the model is trained using segmentation dataset and matting dataset.