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Rui Yuan Hu

from Dublin, CA
Age ~54
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Also known as:
Rui Y Hu, Ruiyuan Hu, Rui Y Yu
Phone and address:
7917 Tamarack Dr, Pleasanton, CA 94568
(925) 819-6187
Related to:
Xing HuXi X Hu, 45Linda K Chu, 45Qi Q Yu, 47Yaoming HuAnnie K Chu, 52Duong A Chu, 54
Connected to:
Abby Hu, 45Allen K Hu, 60Alyssa Hu, 29Anna T Hu, 79Ava Hu, 43Beata Hu, 82Benfang Hu, 46Betty M Hu, 77Billy G Hu, 45Bo Hu, 54

Rui Hu Phones & Addresses

  • 7917 Tamarack Dr, Dublin, CA 94568 (925) 819-6187
  • Pleasanton, CA
  • San Ramon, CA

Resumes

Resumes

Rui Hu Photo 1

Managerstrategic Hr Planning And Finance

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Position:
Manager at China Minsheng Banking Corp.ltd
Location:
Beijing City, China
Industry:
Banking
Work:
China Minsheng Banking Corp.ltd - Beijing，China since Jun 2011
Manager
Capital One Jul 2005 - Aug 2010
Sr. Financial Analyst
Education:
Brandeis University, Lemberg - International Business School 2003 - 2005
MAief, Finance Beijing Institute of Technology 1999 - 2003
BA, Economics
Skills:
Human Resources
Corporate Finance
Deferred Compensation
Rui Hu Photo 2

Algorithm Engineer

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Work:
Jd.com
Algorithm Engineer

Business Records

Name / Title
Company / Classification
Phones & Addresses
Rui Xun Hu
President
HD SUNSHINE SUPPLIES, INC
374 Edinburgh St, San Francisco, CA 94112
1341 Stockton St, San Francisco, CA 94133
Rui X. Hu
Owner, Principal
Sunshine Hd Supplies Inc
Whol Durable Goods
1341 Stockton St, San Francisco, CA 94133

Publications

Us Patents

Deep Structured Scene Flow For Autonomous Devices

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US Patent:
20200160537, May 21, 2020
Filed:
Aug 5, 2019
Appl. No.:
16/531720
Inventors:
- San Francisco CA, US
Wei-Chiu Ma - Toronto, CA
Shenlong Wang - Toronto, CA
Yuwen Xiong - Toronto, CA
Rui Hu - San Francisco CA, US
International Classification:
G06T 7/246
G06K 9/46
G06T 7/593
G06T 7/00
Abstract:
Systems, methods, tangible non-transitory computer-readable media, and devices associated with motion flow estimation are provided. For example, scene data including representations of an environment over a first set of time intervals can be accessed. Extracted visual cues can be generated based on the representations and machine-learned feature extraction models. At least one of the machine-learned feature extraction models can be configured to generate a portion of the extracted visual cues based on a first set of the representations of the environment from a first perspective and a second set of the representations of the environment from a second perspective. The extracted visual cues can be encoded using energy functions. Three-dimensional motion estimates of object instances at time intervals subsequent to the first set of time intervals can be determined based on the energy functions and machine-learned inference models.
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Rui Yuan Hu from Dublin, CA, age ~54 Get Report