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Xiaobo Ren

from Fremont, CA
Age ~38
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Also known as:
Xiaoe Ren, Ren Xiaobo, O Ren
Phone and address:
38860 Garibaldi Cmn, Fremont, CA 94536
Connected to:
Chao Ren, 61Charles R Ren, 63Cheng J Ren, 42Chenghui Ren, 68Christopher F Ren, 56Ci Ren, 34Daihong Ren, 58Daxin X Ren, 80Emma V Ren, 64Frances M Ren, 82

Xiaobo Ren Phones & Addresses

  • 38860 Garibaldi Cmn, Fremont, CA 94536
  • San Jose, CA
  • Santa Clara, CA
  • Columbia, MO

Work

Company: University of missouri - video processing and communication lab May 2011 Position: Research assistant

Education

School / High School: University of Missouri 2011 Specialities: Master of Science in Electronic Computer Engineering

Skills

Languages: C/C++ • Java • Python • Software packages: OpenCV • CUDA Other experiences: Multithreading • embedded system

Resumes

Resumes

Xiaobo Ren Photo 1

Software Engineer

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Location:
San Jose, CA
Industry:
Computer Software
Work:
Weride.ai
Software Engineer
Tcl Research America
Senior Software Engineer
Tcl Research America Jul 2014 - Mar 2015
Software Engineer
Intel Corporation May 2013 - Aug 2013
Software Intern
Datang Microelectronics Technology Jul 2009 - Dec 2010
Test Engineer
Education:
University of Missouri - Columbia 2010 - 2013
Master of Science, Masters, Electronics Engineering
Skills:
C++
Python
Java
Algorithms
Image Processing
Matlab
Programming
Machine Learning
Sql
Computer Vision
Pattern Recognition
Image Segmentation
Video Processing
Surveillance Detection
Object Recognition
C
C++ Language
Restful Webservices
Languages:
English
Xiaobo Ren Photo 2

Xiaobo Ren

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Xiaobo Ren Photo 3

Xiaobo Ren Columbia, MO

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Work:
University of Missouri - Video Processing and Communication Lab

May 2011 to 2000
Research Assistant
Datang Microelectronics Technology Co,Beijing

Jul 2009 to Dec 2010
Test Engineer
Education:
University of Missouri
2011 to 2000
Master of Science in Electronic Computer Engineering
Beijing University of Technology
2005 to 2009
Bachelor of Science in Telecommunication
Skills:
Languages: C/C++, Java, Python, Software packages: OpenCV, CUDA Other experiences: Multithreading, embedded system

Publications

Us Patents

Face Detection, Identification, And Tracking System For Robotic Devices

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US Patent:
20180181813, Jun 28, 2018
Filed:
Dec 22, 2016
Appl. No.:
15/388372
Inventors:
- San Jose CA, US
Xinpeng LIAO - San Jose CA, US
Xiaobo REN - San Jose CA, US
Haohong WANG - San Jose CA, US
International Classification:
G06K 9/00
G06T 7/269
B25J 9/16
B25J 11/00
G06F 17/30
Abstract:
A face detection and tracking method of a robotic device. The method includes obtaining a video frame from a camera of the robotic device; performing a face detection process on the video frame to detect one or more faces in the video frame and, after the face detection process, identifying the detected one or more faces in the video frame. The method also includes performing a vision-based tracking process to track the identified one or more faces using a combination of a feature points tracker and a correlation tracker and, after the vision-based tracking process, performing a detection and tracking fusion process and providing desired target prediction of the identified one or more faces.

Method And Device For Quasi-Gibbs Structure Sampling By Deep Permutation For Person Identity Inference

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US Patent:
20180181842, Jun 28, 2018
Filed:
Dec 22, 2016
Appl. No.:
15/388039
Inventors:
- San Jose CA, US
Xinyao SUN - San Jose CA, US
Xiaobo REN - San Jose CA, US
Haohong WANG - San Jose CA, US
International Classification:
G06K 9/62
G06K 9/46
Abstract:
The present disclosure provides a method and device for visual appearance based person identity inference. The method may include obtaining a plurality of input images. The input images include a gallery set of images containing, persons-of-interest and a probe set of images containing person detections, and one input image corresponds to one person. The method may further include extracting N feature maps from the input images using a Deep Neural Network, N being a natural number; constructing N structure samples of the N feature maps using conditional random field (CRF) graphical models; learning the N structure samples from an implicit common latent feature space embedded in the N structure samples; and according to the learned structures, identifying one or more images from the probe set containing a same person-of-interest as an image in the gallery set.

Method And System For Sharing-Oriented Personalized Route Planning Via A Customizable Multimedia Approach

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US Patent:
20180182105, Jun 28, 2018
Filed:
Dec 22, 2016
Appl. No.:
15/388852
Inventors:
- San Jose CA, US
Xiaobo REN - San Jose CA, US
Haohong WANG - San Jose CA, US
International Classification:
G06T 7/149
G06T 11/60
H04L 12/58
G06F 17/30
Abstract:
In accordance with some embodiments of the disclosed subject matter, a method and a system for recommending and sharing customized multimedia route planning are provided. The method includes: receiving a query image from a user, the query image containing an object-of-interest of the user, performing an integrative segmentation process to determine one or more contours of the object-of-interest in the query image; determining a route having a maximum area overlap with the one or more contours of object-of-interest on a map image; generating an output image including the object-of-interest and the route; and recommending the output image to the user, and sharing the output image on a social network platform.

System And Method For Enhancing Target Tracking Via Detector And Tracker Fusion For Unmanned Aerial Vehicles

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US Patent:
20180182109, Jun 28, 2018
Filed:
Dec 22, 2016
Appl. No.:
15/387846
Inventors:
- San Jose CA, US
Xinpeng LIAO - San Jose CA, US
Xiaobo REN - San Jose CA, US
Haohong WANG - San Jose CA, US
International Classification:
G06T 7/246
G06T 7/73
G06K 9/46
G06K 9/32
G06N 3/04
Abstract:
A system and a method for enhancing target tracking via detector and tracker fusion for unmanned aerial vehicles (UAVs) are provided. The method comprises receiving at least one raw input image of objects to be detected; based on the at least one raw input image of objects, generating the objects' candidate information; based on the objects' candidate information, calculating location and velocity estimation of an object at a current timestamp based on a detector and tracker fusion; and based on the location and velocity estimation of the object at the current timestamp, predicting the location and velocity estimation of the object at a future timestamp.

Method And System For Optimized Wake-Up Strategy Via Sleeping Stage Prediction With Recurrent Neural Networks

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US Patent:
20180060507, Mar 1, 2018
Filed:
Aug 26, 2016
Appl. No.:
15/248639
Inventors:
- San Jose CA, US
HAOHONG WANG - San Jose CA, US
XIAOBO REN - San Jose CA, US
International Classification:
G06F 19/00
A61B 5/00
A61B 5/0205
Abstract:
A method for optimized wake-up strategy via sleeping stage prediction with recurrent neural networks is provided. The method comprises receiving a set of raw sensory data of a user's sleeping status; translating the set of raw sensory data into a plurality of sleeping stages; saving the plurality of sleeping stages as a history of sleeping stages; determining a current sleeping stage; predicting a plurality of future sleeping stages of the user in an upcoming interval; calculating a wakeup score of the current sleeping stage and a wakeup score of each future sleeping stage; determining an optimized sleeping stage for wake up based on the wakeup score through comparing the wakeup score of the current sleeping stage and the wakeup scores of the future sleeping stages; and triggering an alarm impulse to wake up the user at the optimized sleeping stage for wake up.

Personalized Intelligent Wake-Up System And Method Based On Multimodal Deep Neural Network

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US Patent:
20180060732, Mar 1, 2018
Filed:
Aug 25, 2016
Appl. No.:
15/247665
Inventors:
- San Jose CA, US
HAOHONG WANG - San Jose CA, US
XIAOBO REN - San Jose CA, US
International Classification:
G06N 5/02
G08B 3/10
G06N 3/08
Abstract:
A method for personalized intelligent wake-up system based on multimodal deep neural network comprises monitoring a sleeping status of a user; obtaining a current sleeping-stage of the user within a current time frame and a prediction of a next sleeping-stage of the user for a next time frame; correcting the current sleeping-stage of the user through combining the current sleeping-stage and the prediction of the next sleeping-stage; determining a wake up strategy for the current time frame; determining a relationship between each of a plurality of alarm impulses adopted to wake up the user and a corresponding reaction of the user; identifying a change in the current sleeping-stage for the current time frame; determining an alarm impulse to be triggered for waking up the user; and triggering the determined alarm impulse.

Experience-Aware Anomaly Processing System And Method

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US Patent:
20180039908, Feb 8, 2018
Filed:
Aug 8, 2016
Appl. No.:
15/231492
Inventors:
- San Jose CA, US
XIAOBO REN - San Jose CA, US
WENQIANG BO - San Jose CA, US
GUANGHAN NING - San Jose CA, US
LIFAN GUO - San Jose CA, US
International Classification:
G06N 99/00
Abstract:
An experience-aware anomaly processing system and a method for an experience-aware anomaly processing system are provided. The experience-aware anomaly processing system comprises an anomaly detection module configured to receive geographic location data with corresponding time information of a target object, and analyze target object behavior based on the geographic location data with corresponding time information of the target object; a user feedback module configured to receive user feedback from a user and model user feedback behavior when the user receives an alarm message indicating the target object is abnormal; and a decision module configured to receive user setting from the user, and make a detection decision through fusing target object behavior information corresponding to the target object behavior, user feedback behavior information corresponding to the user feedback behavior, and the user setting.

Scalable Storage-Loss Optimized Framework Based Method And System For Color Gamut Mapping

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US Patent:
20170329566, Nov 16, 2017
Filed:
May 11, 2016
Appl. No.:
15/152239
Inventors:
- San Jose CA, US
HAOHONG WANG - San Jose CA, US
XIAOBO REN - San Jose CA, US
International Classification:
G06F 3/147
H04N 5/225
Abstract:
A method for a scalable storage-loss optimized (SSLO) system for color gamut mapping is provided. The SSLO system method comprises generating a pre-computed color gamut mapping between an input color gamut and an output color gamut, receiving an input signal including a plurality of input pixels from the input signal domain, wherein the input pixels correspond to a set of first color values represented in a first color space; converting the set of the first color values to be a set of second color values represented in a second color space; generating a set of third color values through a mapping modeling and a color reproduction; converting the set of the third color values to be a set of fourth color values represented in the first color space; and outputting an output signal including a plurality of output pixels corresponding to the fourth color values to the output signal domain.

Isbn (Books And Publications)

Syntaxe Des Constructions Passives En Chinois

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Author

Xiaobo Ren

ISBN #

2909003183

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Xiaobo Ren from Fremont, CA, age ~38 Get Report