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Qun Li Phones & Addresses

  • New York, NY

Resumes

Resumes

Qun Li Photo 1

Senior Data Scientist

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Location:
18520 26Th St, Lake Forest Park, WA 98059
Industry:
Research
Work:
Microsoft
Senior Data Scientist

Microsoft Jun 1, 2016 - Sep 2019
Data Scientist and Applied Scientist

Parc Jun 2014 - Jun 2016
Research Scientist

Xerox Jun 2013 - May 2014
Research Scientist

University of Illinois at Chicago Aug 2009 - Aug 2013
Research and Teaching Assistant
Education:
University of Illinois at Chicago 2009 - 2013
Doctorates, Doctor of Philosophy, Electrical Engineering
Nanjing University of Science and Technology 2005 - 2009
Bachelor of Engineering, Bachelors, Engineering, Communications
Skills:
Machine Learning
Matlab
Signal Processing
Image Processing
Algorithms
Pattern Recognition
Image Analysis
C++
Mathematical Modeling
Computer Vision
Opencv
Simulations
Computer Science
Research
C
Latex
Information Retrieval
Video Processing
Python
Multisim
Chinese
Javascript
Compressive Sensing
Deep Learning
Caffe
Keras
Data Mining
Research and Development
Modeling
R
.Net Framework
Statistics
Sql
Interests:
Science and Technology
Health
Languages:
English
Mandarin
Qun Li Photo 2

Qun Li

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Work:
Cell Genesys.inc 1993 - 2008
Senior Process Development Associate
Qun Li Photo 3

Qun Li

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Qun Li Photo 4

Qun Li

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Qun Li Photo 5

Qun Li

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Qun Li Photo 6

Qun Li

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Skills:
Microsoft Excel
Microsoft Office
Research
Management
Microsoft Word
Qun Li Photo 7

Qun Li

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Publications

Us Patents

Hand-Gesture-Based Region Of Interest Localization

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US Patent:
20160091975, Mar 31, 2016
Filed:
Sep 30, 2014
Appl. No.:
14/501284
Inventors:
- Norwalk CT, US
Xiaodong Yang - New York NY, US
Qun Li - Webster NY, US
Edgar A. Bernal - Webster NY, US
Raja Bala - Pittsford NY, US
International Classification:
G06F 3/01
G06T 7/00
G02B 27/01
H04N 5/232
G06K 9/00
Abstract:
A method, non-transitory computer readable medium, and apparatus for localizing a region of interest using a hand gesture are disclosed. For example, the method acquires an image containing the hand gesture from the ego-centric video, detects pixels that correspond to one or more hands in the image using a hand segmentation algorithm, identifies a hand enclosure in the pixels that are detected within the image, localizes a region of interest based on the hand enclosure and performs an action based on the object in the region of interest.

Dynamic Hand-Gesture-Based Region Of Interest Localization

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US Patent:
20160091976, Mar 31, 2016
Filed:
Nov 25, 2014
Appl. No.:
14/553752
Inventors:
- Norwalk CT, US
Xiaodong Yang - New York NY, US
Qun Li - Webster NY, US
Raja Bala - Pittsford NY, US
Edgar A. Bernal - Webster NY, US
Jeyasri Subramanian - San Antonio TX, US
International Classification:
G06F 3/01
G06K 9/20
G06T 7/00
G06K 9/00
Abstract:
A method, non-transitory computer-readable medium, and apparatus for localizing a region of interest using a dynamic hand gesture are disclosed. For example, the method captures the ego-centric video containing the dynamic hand gesture, analyzes a frame of the ego-centric video to detect pixels that correspond to a fingertip using a hand segmentation algorithm, analyzes temporally one or more frames of the ego-centric video to compute a path of the fingertip in the dynamic hand gesture, localizes the region of interest based on the path of the fingertip in the dynamic hand gesture and performs an action based on an object in the region of interest.
Qun Li from New York, NY Get Report