Resumes & CV records
Resumes
Qun Gu, 56Foster City, CA
Qun Gu Phones & Addresses
Foster City, CA
4982 Tuscany Cir, San Jose, CA 95135 408-7291973
Logan, UT
4982 Tuscany Cir, San Jose, CA 95135
Social networks
Qun Gu
Linkedin
Work
Position:
Professional/Technical
Education
Degree:
High school graduate or higher
Mentions for Qun Gu
Publications & IP owners
Us Patents
Method For Imaging Coding By Rate-Distortion Adaptive Zero-Tree-Based Residual Vector Quantization And System For Effecting Same
US Patent:
7437010, Oct 14, 2008
Filed:
Sep 1, 2006
Appl. No.:
11/515227
Inventors:
Scott E. Budge - Logan UT, US
Qun Gu - San Jose CA, US
Qun Gu - San Jose CA, US
Assignee:
Utah State University - North Logan UT
International Classification:
G06K 9/46
US Classification:
382239, 382240
Abstract:
Methods and systems for encoding, transmitting and decoding digital images by rate-distortion adaptive zerotree-based residual vector quantization are disclosed. A method of the invention includes receiving a digital image, transforming the digital image into the wavelet domain generating a pyramid hierarchy, losslessly encoding a top LL subband from the pyramid hierarchy, encoding other subbands by vector quantization based on a zerotree insignificance prediction, generating an encoded image from the lossless encoding and vector quantization encoding, transmitting the encoded image along a communications channel, receiving the encoded image transmitted along the communications channel, reconstructing a zerotree from the encoded image, vector quantization decoding subbands from the encoded image other than a top LL subband, losslessly decoding the top LL subband from the encoded image, reverse wavelet transforming the top LL subband and the vector quantization decoded subbands and outputting a decoded image.
Method For Image Coding By Rate-Distortion Adaptive Zerotree-Based Residual Vector Quantization And System For Effecting Same
US Patent:
7602982, Oct 13, 2009
Filed:
Aug 16, 2005
Appl. No.:
11/205366
Inventors:
Scott E. Budge - Logan UT, US
Qun Gu - San Jose CA, US
Qun Gu - San Jose CA, US
Assignee:
Utah State University - Logan UT
International Classification:
G06K 9/46
US Classification:
382239, 382240
Abstract:
Methods and systems for encoding, transmitting and decoding digital images by rate-distortion adaptive zerotree-based residual vector quantization are disclosed. A method of the invention includes receiving a digital image, transforming the digital image into the wavelet domain generating a pyramid hierarchy, losslessly encoding a top LL subband from the pyramid hierarchy, encoding other subbands by vector quantization based on a zerotree insignificance prediction, generating an encoded image from the lossless encoding and vector quantization encoding, transmitting the encoded image along a communications channel, receiving the encoded image transmitted along the communications channel, reconstructing a zerotree from the encoded image, vector quantization decoding subbands from the encoded image other than a top LL subband, losslessly decoding the top LL subband from the encoded image, reverse wavelet transforming the top LL subband and the vector quantization decoded subbands and outputting a decoded image.
Method For Image Coding By Rate-Distortion Adaptive Zerotree-Based Residual Vector Quantization And System For Effecting Same
US Patent:
2002008, Jun 27, 2002
Filed:
Dec 18, 2000
Appl. No.:
09/739168
Inventors:
Scott Budge - Logan UT, US
Qun Gu - San Jose CA, US
Qun Gu - San Jose CA, US
International Classification:
H04N001/417
US Classification:
358/261200
Abstract:
Methods and systems for encoding, transmitting and decoding digital images by rate-distortion adaptive zerotree-based residual vector quantization are disclosed. A method of the invention includes receiving a digital image, transforming the digital image into the wavelet domain generating a pyramid hierarchy, losslessly encoding a top LL subband from the pyramid hierarchy, encoding other subbands by vector quantization based on a zerotree insignificance prediction, generating an encoded image from the lossless encoding and vector quantization encoding, transmitting the encoded image along a communications channel, receiving the encoded image transmitted along the communications channel, reconstructing a zerotree from the encoded image, vector quantization decoding subbands from the encoded image other than a top LL subband, losslessly decoding the top LL subband from the encoded image, reverse wavelet transforming the top LL subband and the vector quantization decoded subbands and outputting a decoded image.
Hybrid Lane Model
US Patent:
2022040, Dec 22, 2022
Filed:
Jun 16, 2021
Appl. No.:
17/349340
Inventors:
- San Jose CA, US
Qun Gu - San Jose CA, US
Qun Gu - San Jose CA, US
International Classification:
G06K 9/00
G06K 9/46
G06K 9/62
G06K 9/40
G06K 9/46
G06K 9/62
G06K 9/40
Abstract:
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.
Rgb-Nir Dual Camera Face Anti-Spoofing Method
US Patent:
2022028, Sep 8, 2022
Filed:
Mar 4, 2021
Appl. No.:
17/192605
Inventors:
- Santa Clara CA, US
Lei Zhang - Campbell CA, US
Qun Gu - San Jose CA, US
Zilong Hu - San Jose CA, US
Lei Zhang - Campbell CA, US
Qun Gu - San Jose CA, US
Zilong Hu - San Jose CA, US
International Classification:
G06K 9/00
H04N 5/225
H04N 5/33
H04N 5/225
H04N 5/33
Abstract:
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.
In-Cabin Occupant Behavoir Description
US Patent:
2022024, Aug 4, 2022
Filed:
Feb 2, 2021
Appl. No.:
17/164954
Inventors:
- Santa Clara CA, US
Lei Zhang - Campbell CA, US
Qun Gu - San Jose CA, US
Lei Zhang - Campbell CA, US
Qun Gu - San Jose CA, US
International Classification:
G06K 9/00
G06K 9/46
G06T 7/70
G06K 9/46
G06T 7/70
Abstract:
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.
Method Of Human Pose Estimation
US Patent:
2023006, Mar 2, 2023
Filed:
Aug 31, 2021
Appl. No.:
17/463166
Inventors:
- San Jose CA, US
Lei Zhang - Campbell CA, US
Qun Gu - San Jose CA, US
Lei Zhang - Campbell CA, US
Qun Gu - San Jose CA, US
International Classification:
G06K 9/00
G06T 7/73
G06K 9/46
G06T 7/73
G06K 9/46
Abstract:
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.
Age And Gender Estimation
US Patent:
2023006, Mar 2, 2023
Filed:
Aug 31, 2021
Appl. No.:
17/463139
Inventors:
- San Jose CA, US
Lei Zhang - Campbell CA, US
Qun Gu - San Jose CA, US
Lei Zhang - Campbell CA, US
Qun Gu - San Jose CA, US
International Classification:
G06K 9/00
G06N 3/08
G06N 3/08
Abstract:
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.
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