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Daniel S Ron

from Medford, MA
Age ~33
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Also known as:
Daniel Dron
Connected to:
Anita G Ron, 58Arlynn A Ron, 34Camerina Ron, 42Diego Ron, 37Ema N Ron, 37Ian J Ron, 30Krystal L Ron, 40Nilesh P Ron, 51Pierre V Ron, 52Raata Ron, 57

Daniel Ron Phones & Addresses

  • Medford, MA
  • 213 Willow Ave, Somerville, MA 02144 (781) 367-3905
  • Pittsburgh, PA
  • 7 Coach Rd, Lexington, MA 02420 (781) 863-2317

Emails

e***[email protected]

Resumes

Resumes

Daniel Ron Photo 1

Applied Scientist Ii, Amazon Go

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Location:
Somerville, MA
Industry:
Research
Work:
Amazon
Applied Scientist Ii, Amazon Go
Snap Inc.
Research Intern
Amazon Robotics Sep 2014 - Sep 2016
Software Engineer
Gelsight Jul 2013 - Aug 2014
Algorithm and Software Engineer
Massachusetts Institute of Technology (Mit) Oct 2012 - Jul 2013
Research Assistant
Education:
Carnegie Mellon University 2016 - 2017
Master of Science, Masters Massachusetts Institute of Technology 2010 - 2013
Bachelors, Bachelor of Science, Mathematics, Computer Science
Skills:
Python
C
Java
Computer Vision
C++
Data Analysis
Programming
Latex
Matlab
Algorithms
Research
Opengl
Opencv
Arduino
Processing
R
Android Development
Cilk
Computer Science
Interests:
Soccer
Home Brewing
Cooking
Daniel Ron Photo 2

Construction Specialist

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Work:

Construction Specialist
Daniel Ron Photo 3

Daniel Ron

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Daniel Ron Photo 4

Daniel Ron

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Location:
New Canaan, Connecticut
Industry:
Financial Services
Daniel Ron Photo 5

Daniel Ron

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Daniel Ron Photo 6

Daniel Ron

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Publications

Us Patents

Active Image Depth Prediction

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US Patent:
20200258248, Aug 13, 2020
Filed:
Apr 27, 2020
Appl. No.:
16/859468
Inventors:
- Santa Monica CA, US
Daniel Ron - Lexington MA, US
Chongyang Ma - Los Angeles CA, US
Ning Xu - Irvine CA, US
Shenlong Wang - Toronto, CA
Sumant Milind Hanumante - Marina Del Rey CA, US
Dhritiman Sagar - Marina del Rey CA, US
International Classification:
G06T 7/536
G06T 11/60
Abstract:
An active depth detection system can generate a depth map from an image and user interaction data, such as a pair of clicks. The active depth detection system can be implemented as a recurrent neural network that can receive the user interaction data as runtime inputs after training. The active depth detection system can store the generated depth map for further processing, such as image manipulation or real-world object detection.

Active Image Depth Prediction

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US Patent:
20200074653, Mar 5, 2020
Filed:
Aug 31, 2018
Appl. No.:
16/120105
Inventors:
Kun Duan - Los Angeles CA, US
Daniel Ron - Lexington MA, US
Chongyang Ma - Los Angeles CA, US
Ning Xu - Irvine CA, US
Shenlong Wang - Toronto, CA
Sumant Milind Hanumante - Marina Del Rey CA, US
Dhritiman Sagar - Marina del Rey CA, US
International Classification:
G06T 7/536
G06T 11/60
Abstract:
An active depth detection system can generate a depth map from an image and user interaction data, such as a pair of clicks. The active depth detection system can be implemented as a recurrent neural network that can receive the user interaction data as runtime inputs after training. The active depth detection system can store the generated depth map for further processing, such as image manipulation or real-world object detection.
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Daniel S Ron from Medford, MA, age ~33 Get Report