Qun Gu, 4837386 Ezra Dr, Newark, CA 94560

2022040, Dec 22, 2022

Jun 16, 2021

17/349340

- San Jose CA, US
Qun Gu - San Jose CA, US

G06K 9/00
G06K 9/46
G06K 9/62
G06K 9/40

A method of hybrid lane modeling, including, receiving a roadway image, extracting a set of lane points from the roadway image, fitting a polynomial line to the set of lane points, determining a fitted error of the fitted polynomial line, outputting the polynomial line if the fitted error is less than a predetermined threshold, selecting a set of clean lane points from the set of lane points if the fitted error is greater than the predetermined threshold and interpolating a cubic spline line to the set of clean lane points.

2022028, Sep 8, 2022

Mar 4, 2021

17/192605

- Santa Clara CA, US
Lei Zhang - Campbell CA, US
Qun Gu - San Jose CA, US
Zilong Hu - San Jose CA, US

G06K 9/00
H04N 5/225
H04N 5/33

A method of face anti-spoofing, comprising, receiving a near infra-red facial image, having a near infrared channel, receiving a red-green-blue facial image, having a red channel, a green channel and a blue channel, generating a synthetic three channel image based on the near infrared channel, the red channel, the green channel and the blue channel and training a deep neural network based on the synthetic three channel image.

2022024, Aug 4, 2022

Feb 2, 2021

17/164954

- Santa Clara CA, US
Lei Zhang - Campbell CA, US
Qun Gu - San Jose CA, US

G06K 9/00
G06K 9/46
G06T 7/70

A method of describing a temporal event, including receiving a video sequence of the temporal event, extracting at least one physical characteristic of an at least one occupant within the video sequence, extracting at least one action of the at least one occupant within the video sequence, extracting at least one interaction of the at least one occupant with a secondary occupant within the video sequence, determining a safety level of the temporal event within a vehicle based on at least one of the at least one action and the at least one interaction and describing the at least one physical characteristic of the at least one occupant and at least one of the at least one action and the at least one interaction of the at least one occupant.

2023006, Mar 2, 2023

Aug 31, 2021

17/463166

- San Jose CA, US
Lei Zhang - Campbell CA, US
Qun Gu - San Jose CA, US

G06K 9/00
G06T 7/73
G06K 9/46

A method of human pose estimation, including, receiving an image frame, extracting in at least a first stage a first stage image feature based on the image frame, extracting in at least a second stage a second stage image feature based on the first stage image feature, extracting in at least a subsequent stage a subsequent stage image feature based on the second stage image feature, up-sampling the subsequent stage image feature, up-sampling the second stage image feature, concatenating the first stage image feature, the up-sampled second stage image feature and the up-sampled subsequent stage image feature and outputting a feature map based on an output of the concatenation.

2023006, Mar 2, 2023

Aug 31, 2021

17/463139

- San Jose CA, US
Lei Zhang - Campbell CA, US
Qun Gu - San Jose CA, US

G06K 9/00
G06N 3/08

A method of age and gender estimation, comprising receiving an input image, detecting a facial image within the input image, estimating a head pose based on a set of facial image intensities of the facial image, wherein the head pose is expressed as a yaw, a pitch and a roll, determining whether the yaw, the pitch and the roll of the head pose is less than a predetermined threshold, aligning the facial image if the yaw, the pitch and the roll of the head pose are less than the predetermined threshold and predicting an age and a gender of the aligned facial image.

2021030, Sep 30, 2021

May 10, 2021

17/316263

- San Jose CA, US
Qun Gu - San Jose CA, US
Chengyu Xiong - San Jose CA, US

G06F 3/06
G06T 1/60
G06T 1/20
G06F 13/28
G06F 13/40

A system on a chip, including a first domain having a first processor, a first local memory coupled to the first processor, wherein the first local memory having a first memory format and a first sub-network coupled to the first processor, a second domain having a second processor, a second local memory coupled to the second processor and a second sub-network coupled to the second processor, wherein the second local memory having a second memory format which differs from the first memory format, a multi-tier network coupled to the first sub-network and the second sub-network, a global memory coupled to the multi-tier network and a multi-port DDR controller coupled to the global memory to receive, transmit and share the first local memory having the first memory format and the second local memory having the second memory format based on a predetermined criteria.

2021009, Apr 1, 2021

Feb 27, 2019

16/287625

- Santa Clara CA, US
Yilin Song - San Jose CA, US
Qun Gu - San Jose CA, US

G06N 3/08
G06F 1/03

A method of pruning a convolutional neural network, comprising at least one of determining a number of channels (N) between a network input and a network output, constructing N lookup tables, each lookup table matched to a respective channel and pruning filters in the convolutional neural network to create a shortcut between the network input and the network output based on the N lookup tables.

2020032, Oct 15, 2020

Apr 10, 2019

16/380823

- Santa Clara CA, US
Qun Gu - San Jose CA, US
Jizhang Shan - Los Gatos CA, US

G06K 9/00

A method of distant on-road object detection, comprising, capturing an initial frame of a roadway lane in a direction of travel, detecting lane edges in the initial frame, capturing a subsequent frame of the roadway lane, cropping the subsequent frame based on the detected lane edges of the initial frame resulting in an image patch, detecting an image patch object within the image patch, down-sampling the subsequent frame, detecting a down-sampled object within the down-sampled subsequent frame and merging the detections within the image patch and the detections within the down-sampled subsequent frame.