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Andrew Mikhail Rabinovich

from San Francisco, CA
Age ~44

Andrew Rabinovich Phones & Addresses

  • 157 Marview Way, San Francisco, CA 94131 (619) 436-6803
  • San Diego, CA
  • 3974 La Jolla Village Dr, La Jolla, CA 92037 (858) 558-7270 (858) 642-0507

Resumes

Resumes

Andrew Rabinovich Photo 1

Co-Founder And Chief Technology Officer

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Location:
157 Marview Way, San Francisco, CA 94131
Industry:
Computer Software
Work:
Magic Leap
Head of Ai

Magic Leap Apr 2015 - May 2018
Principal Engineer

Magic Leap Apr 2015 - May 2018
Director, Deep Learning

Google Sep 2008 - Feb 2015
Software Engineer

Headroom Sep 2008 - Feb 2015
Co-Founder and Chief Technology Officer
Skills:
Computer Vision
Image Processing
Machine Learning
Algorithms
Neural Networks
Deep Learning
Image Analysis
Computer Science
Matlab
Pattern Recognition
Optimization
C++
Object Recognition
Artificial Intelligence
Software Engineering
Big Data
Distributed Systems
Data Mining
Medical Imaging
Algorithm Design
Mapreduce
Scalability
Languages:
English
Russian
Spanish
Andrew Rabinovich Photo 2

National Sales Director

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Location:
4057 1St Ave, San Diego, CA 92103
Industry:
Medical Devices
Work:
SkinMedica - Southeast since Oct 2012
Regional Sales Manager

SkinMedica Apr 2010 - Dec 2012
National Manager, Strategic Accounts

Astellas Pharma Apr 2002 - May 2009
Regional Sales Manager

GlaxoSmithKline Nov 1997 - Apr 2002
Senior Professional Representative
Education:
New York University - Leonard N. Stern School of Business
BS, Finance
Skills:
Product Launch
Pharmaceutical Sales
Pharmaceutical Industry
Sales
Sales Effectiveness
Dermatology
Managed Care
Medical Devices
Account Management
Strategic Planning
Sales Management
Competitive Analysis
Product Marketing
Medicaid
Market Planning
New Business Development
Diabetes
Marketing Management
Andrew Rabinovich Photo 3

Software Engineer At Google

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Location:
701 south Santa Fe St, Pauls Valley, OK 73075
Industry:
Research
Work:
Google
Software Engineer at Google
Andrew Rabinovich Photo 4

Head Of Ai

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Location:
157 Marview Way, San Francisco, CA 94131
Work:
Magic Leap
Head of Ai

Publications

Us Patents

Automatically Mining Person Models Of Celebrities For Visual Search Applications

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US Patent:
8605956, Dec 10, 2013
Filed:
Aug 19, 2010
Appl. No.:
12/859721
Inventors:
David Ross - San Jose CA, US
Andrew Rabinovich - San Diego CA, US
Anand Pillai - Los Angeles CA, US
Hartwig Adam - Marina del Rey CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06K 9/00
US Classification:
382118, 713186, 340 553, 340 583
Abstract:
Methods and systems for automated identification of celebrity face images are provided that generate a name list of prominent celebrities, obtain a set of images and corresponding feature vectors for each name, detect faces within the set of images, and remove non-face images. An analysis of the images is performed using an intra-model analysis, an inter-model analysis, and a spectral analysis to return highly accurate biometric models for each of the individuals present in the name list. Recognition is then performed based on precision and recall to identify the face images as belonging to a celebrity or indicate that the face is unknown.

Color Unmixing And Region Of Interest Detection In Tissue Samples

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US Patent:
20070053573, Mar 8, 2007
Filed:
May 28, 2004
Appl. No.:
10/558679
Inventors:
Andrew Rabinovich - LA JOLLA CA, US
International Classification:
G06K 9/00
US Classification:
382133000
Abstract:
In a method and system and machine-readable medium, colors in an image () are unmixed () using a matrix X=AS, where A is a n×nmatrix of spectral definitions, where s is the number of spectral components and d is the number of dyes into which the image is decomposed, and where S is a n×l matrix of amounts of each dye at every pixel, where l is the number of pixels; the matrix X is constrained for solution by an unsupervised matrix decomposition method having constraints consistent with properties of an additive color model; and nis determined. A texture is determined to identify areas of interest. Further processing may automatically measure cell dye concentration in the determined regions of interest.

Facial Recognition With Social Network Aiding

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US Patent:
20110038512, Feb 17, 2011
Filed:
Aug 5, 2010
Appl. No.:
12/851473
Inventors:
David Petrou - Brooklyn NY, US
Andrew Rabinovich - San Diego CA, US
Hartwig Adam - Marina del Rey CA, US
International Classification:
G06K 9/00
US Classification:
382118
Abstract:
A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics. Finally, at least one person identifier from the list is sent to the requester.

Systems And Methods For Sign Language Recognition

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US Patent:
20220375177, Nov 24, 2022
Filed:
Aug 3, 2022
Appl. No.:
17/817127
Inventors:
- Plantation FL, US
Michael Janusz Woods - Mountain View CA, US
Andrew Rabinovich - San Francisco CA, US
International Classification:
G06T 19/00
G02B 27/01
G06F 3/01
G06F 1/16
G06F 3/03
G06F 40/58
G06V 10/10
G06V 20/20
G06V 40/20
Abstract:
A sensory eyewear system for a mixed reality device can facilitate user's interactions with the other people or with the environment. As one example, the sensory eyewear system can recognize and interpret a sign language, and present the translated information to a user of the mixed reality device. The wearable system can also recognize text in the user's environment, modify the text (e.g., by changing the content or display characteristics of the text), and render the modified text to occlude the original text.

Systems And Methods For Augmented Reality

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US Patent:
20220365351, Nov 17, 2022
Filed:
May 26, 2022
Appl. No.:
17/826083
Inventors:
- Plantation FL, US
Andrew Rabinovich - San Francisco CA, US
Richard Leslie Taylor - Wellington, NZ
International Classification:
G02B 27/01
G06T 19/00
A63F 13/211
Abstract:
Methods and systems for triggering presentation of virtual content based on sensor information. The display system may be an augmented reality display system configured to provide virtual content on a plurality of depth planes using different wavefront divergences. The system may monitor information detected via the sensors, and based on the monitored information, trigger access to virtual content identified in the sensor information. Virtual content can be obtained, and presented as augmented reality content via the display system. The system may monitor information detected via the sensors to identify a QR code, or a presence of a wireless beacon. The QR code or wireless beacon can trigger the display system to obtain virtual content for presentation.

Content Provisioning System And Method

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US Patent:
20220337899, Oct 20, 2022
Filed:
Jun 17, 2022
Appl. No.:
17/807600
Inventors:
- Plantation FL, US
Andrew RABINOVICH - San Francisco CA, US
David C. LUNDMARK - Los Altos CA, US
Assignee:
Magic Leap, Inc. - Plantation FL
International Classification:
H04N 21/41
H04N 21/414
G06T 19/00
H04W 4/021
Abstract:
The invention provides a content provisioning system. A mobile device has a mobile device processor. The mobile device mobile device has communication interface connected to the mobile device processor and a first resource device communication interface and under the control of the mobile device processor to receive first content transmitted by the first resource device transmitter The mobile device mobile device has a mobile device output device connected to the mobile device processor and under control of the mobile device processor capable of providing an output that can be sensed by a user.

Video Super-Resolution Using Deep Neural Networks

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US Patent:
20220327663, Oct 13, 2022
Filed:
Apr 11, 2022
Appl. No.:
17/718136
Inventors:
- San Francisco CA, US
Yihui He - Pittsburgh PA, US
Megan Hardy - Oakland CA, US
Andrew Rabinovich - San Francisco CA, US
International Classification:
G06T 3/40
Abstract:
Methods and systems for obtaining an input video sequence comprising input video frames; determining i) an input resolution of input video frames and ii) a target output resolution of the plurality of input video frames, wherein the target output resolution is higher than the input resolution; and processing the input video sequence using a neural network to generate an output video sequence, comprising, for each of the plurality of input video frames: processing the input video frame to generate an output video frame having the target output resolution, comprising processing the input video frame using a subnetwork of the neural network corresponding to the input resolution of the plurality of input video frames, the neural network configured to process input video frames having one of a set of possible input resolutions and to generate output video frames having one of a set of possible output resolutions.

Eye Tracking And Gaze Estimation Using Off-Axis Camera

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US Patent:
20220244781, Aug 4, 2022
Filed:
Feb 17, 2022
Appl. No.:
17/674724
Inventors:
- Plantation FL, US
Srivignesh Rajendran - San Francisco CA, US
Tarrence van As - New York NY, US
Joelle Zimmermann - Los Angeles CA, US
Vijay Badrinarayanan - Mountain View CA, US
Andrew Rabinovich - San Francisco CA, US
Assignee:
Magic Leap, Inc. - Plantation FL
International Classification:
G06F 3/01
G06V 10/26
G06V 40/18
G06V 10/82
G06V 10/774
G02B 27/00
Abstract:
Techniques related to the computation of gaze vectors of users of wearable devices are disclosed. A neural network may be trained through first and second training steps. The neural network may include a set of feature encoding layers and a plurality of sets of task-specific layers that each operate on an output of the set of feature encoding layers. During the first training step, a first image of a first eye may be provided to the neural network, eye segmentation data may be generated using the neural network, and the set of feature encoding layers may be trained. During the second training step, a second image of a second eye may be provided to the neural network, network output data may be generated using the neural network, and the plurality of sets of task-specific layers may be trained.
Andrew Mikhail Rabinovich from San Francisco, CA, age ~44 Get Report