Search

Krishnan Ramnath

from Fremont, CA
Age ~41
Get Report
Related to:
Harshini Ramnath Krishnan, 37
Connected to:
Daphne RamnathNavin A Ramnath, 42Sandra V Ramnath, 71Amanda P Ramnauth, 40Devi Ramnauth, 58Danielle E Ramo, 46Pedro H Ramo, 59Ryan J Ramo, 47Priscilla A Ramoin, 66Thomas Ramoino, 48

Krishnan Ramnath Phones & Addresses

  • Fremont, CA
  • Sunnyvale, CA
  • Redmond, WA
  • Ashburn, VA
  • Herndon, VA
  • Pittsburgh, PA

Work

Company: Microsoft reseach May 2010 Position: Rsde

Education

Degree: Master of Science School / High School: Carnegie Mellon University 2005 to 2007 Specialities: Robotics

Skills

Software Development • Refactoring • Computer Vision • Algorithms • Video Analytics • Video Processing • Camera • Image Processing • Pattern Recognition • Data Structures • Opencv • Information Extraction • Data Mining • Software Engineering • Real Time • Software Design • Digital Image Processing • Machine Learning • Artificial Intelligence • Computer Science • Programming • Information Retrieval • C++ • Matlab

Languages

English • Hindi • Tamil • Telugu • French

Ranks

Certificate: Wharton School - An Introduction To Marketing

Interests

Leadership • Technology • Cars • Reading • Health • Electronics • Environment • Education • See 3 • Science and Technology • Human Rights • Stocks • Ping Pong • Management • Robotics • Computer Science • See Less • Meditation • Squash • Nature

Industries

Computer Software

Resumes

Resumes

Krishnan Ramnath Photo 1

Research Science Manager

View page
Location:
40351 Imperio Pl, Fremont, CA 94539
Industry:
Computer Software
Work:
Microsoft Reseach since May 2010
RSDE
ObjectVideo Inc Jun 2007 - Jun 2010
Research Scientist
Carnegie Mellon University Aug 2005 - May 2007
Research Assistant
HP Labs, India Jan 2005 - Jun 2005
Research Intern
Birla Institute of Technology and Science Aug 2004 - Dec 2004
Teaching Assistant
Education:
Carnegie Mellon University 2005 - 2007
Master of Science, Robotics Birla Institute of Technology and Science 2000 - 2005
Master of Science (Hons), Mathematics Birla Institute of Technology and Science 2000 - 2005
Bachelor of Engineering (Hons), Computer Science
Skills:
Software Development
Refactoring
Computer Vision
Algorithms
Video Analytics
Video Processing
Camera
Image Processing
Pattern Recognition
Data Structures
Opencv
Information Extraction
Data Mining
Software Engineering
Real Time
Software Design
Digital Image Processing
Machine Learning
Artificial Intelligence
Computer Science
Programming
Information Retrieval
C++
Matlab
Interests:
Leadership
Technology
Cars
Reading
Health
Electronics
Environment
Education
See 3
Science and Technology
Human Rights
Stocks
Ping Pong
Management
Robotics
Computer Science
See Less
Meditation
Squash
Nature
Languages:
English
Hindi
Tamil
Telugu
French
Certifications:
Wharton School - An Introduction To Marketing
What???S Your Big Idea?
Foundations of Business Strategy
License 7W43Kccwun
What’s Your Big Idea?
Coursera Verified Certificates, License 7W43Kccwun
Coursera

Publications

Us Patents

Image Annotations On Web Pages

View page
US Patent:
20130204608, Aug 8, 2013
Filed:
Feb 6, 2012
Appl. No.:
13/366385
Inventors:
Simon John BAKER - Palo Alto CA, US
Juliet Anne BERNSTEIN - Seattle WA, US
Krishnan RAMNATH - Redmond WA, US
Anitha KANNAN - Mountain View CA, US
Dahua LIN - Cambridge MA, US
Qifa KE - Cupertino CA, US
Matthew UYTTENDAELE - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 17/27
G06F 17/00
US Classification:
704 9, 715234
Abstract:
An image in a web page may be annotated after deriving information about an image when the image may be displayed on multiple web pages. The web pages that show the image may be analyzed in light of each other to determine metadata about the image, then various additional content may be added to the image. The additional content may be hyperlinks to other webpages. The additional content may be displayed as annotations on top of the images and in other manners. Many embodiments may perform searching, analysis, and classification of images prior to the web page being served.

Object Identification Using 3-D Curve Matching

View page
US Patent:
20130156329, Jun 20, 2013
Filed:
Dec 16, 2011
Appl. No.:
13/328133
Inventors:
Richard Stephan Szeliski - Bellevue WA, US
Edward Hsiao - Pittsburgh PA, US
Sudipta Narayan Sinha - Redmond WA, US
Krishnan Ramnath - Redmond WA, US
Simon John Baker - Palo Alto CA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06K 9/68
G06T 15/00
US Classification:
382218, 345419
Abstract:
The claimed subject matter provides for systems and/or methods for identification of instances of an object of interest in 2D images by creating a database of 3D curve models of each desired instance and comparing an image of an object of interest against such 3D curve models of instances. The present application describes identifying and verifying the make and model of a car from a possibly single image—after the models have been populated with training data of test images of many makes and models of cars. In one embodiment, an identification system may be constructed by generating a 3D curve model by back-projecting edge points onto a visual hull reconstruction from silhouettes of an instance. The system and methods employ chamfer distance and orientation distance provides reasonable verification performance, as well as an appearance model for the taillights of the car to increase the robustness of the system.

Mobile Persistent Augmented-Reality Experiences

View page
US Patent:
20190371067, Dec 5, 2019
Filed:
Aug 9, 2018
Appl. No.:
16/100126
Inventors:
- Menlo Park CA, US
Alvaro Collet Romea - Seattle WA, US
Krishnan Kumar Ramnath - Redmond WA, US
International Classification:
G06T 19/00
G06T 19/20
G06T 7/73
Abstract:
In one embodiment, a method includes determining, using one or more location sensors of a computing device, an approximate location of the computing device, identifying a content object located within a threshold distance of the approximate location, wherein an augmented-reality map associates the content object with a stored model of a real-world object and specifies a location of the content object on or relative to the stored model of the real-world object, obtaining an image from a camera of the device, identifying, in the image, a target real-world object that matches the stored model of the real-world object, determining a content object location based on a location of the target real-world object and the location of the content object on or relative to the model of the real-world object, and displaying the content object at the content object location.

Autocaptioning Of Images

View page
US Patent:
20160189414, Jun 30, 2016
Filed:
Mar 7, 2016
Appl. No.:
15/063323
Inventors:
- Redmond WA, US
Krishnan RAMNATH - Redmond WA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06T 11/60
G06F 17/24
Abstract:
The description relates to sentence autocaptioning of images. One example can include a set of information modules and a set of sentence generation modules. The set of information modules can include individual information modules configured to operate on an image or metadata associated with the image to produce image information. The set of sentence generation modules can include individual sentence generation modules configured to operate on the image information to produce a sentence caption for the image.

Object Identification Using 3-D Curve Matching

View page
US Patent:
20150310257, Oct 29, 2015
Filed:
Jul 8, 2015
Appl. No.:
14/794608
Inventors:
- Redmond WA, US
Edward Hsiao - Pittsburgh PA, US
Sudipta Sinha - Redmond WA, US
Krishnan Ramnath - Redmond WA, US
Charles Zitnick - Seattle WA, US
Simon Baker - Palo Alto CA, US
International Classification:
G06K 9/00
G06T 7/00
Abstract:
The claimed subject matter provides for systems and/or methods for identification of instances of an object of interest in 2D images by creating a database of 3D curve models of each desired instance and comparing an image of an object of interest against such 3D curve models of instances. The present application describes identifying and verifying the make and model of a car from a possibly single image—after the models have been populated with training data of test images of many makes and models of cars. In one embodiment, an identification system may be constructed by generating a 3D curve model by back-projecting edge points onto a visual hull reconstruction from silhouettes of an instance. The system and methods employ chamfer distance and orientation distance provides reasonable verification performance, as well as an appearance model for the taillights of the car to increase the robustness of the system.

Browsing Images Via Mined Hyperlinked Text Snippets

View page
US Patent:
20150046781, Feb 12, 2015
Filed:
Aug 12, 2013
Appl. No.:
13/964516
Inventors:
- Redmond WA, US
Anitha Kannan - Mountain View CA, US
Krishnan Ramnath - Redmond WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 17/22
G06F 3/0484
G06F 17/30
G06F 17/27
US Classification:
715205, 707748, 715771
Abstract:
Images stored in an information repository are prepared for browsing. For each image in the repository, text in the repository is mined to extract snippets of text about the image which are semantically relevant to the image, and for each of these snippets of text, keyterms are detected in the snippet of text which represent either concepts that are related to the image or entities that are related to the image, and the snippet of text and keyterms are associated with the image. Each keyterm that is associated with each image in the repository is hyperlinked to each other image in the repository that has this keyterm associated therewith. A graphical user interface allows a user to browse the images in the repository by using their associated snippets of text and hyperlinked keyterms.

Autocaptioning Of Images

View page
US Patent:
20140114643, Apr 24, 2014
Filed:
Oct 18, 2012
Appl. No.:
13/654419
Inventors:
- Redmond WA, US
Krishnan Ramnath - Redmond WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 17/27
US Classification:
704 9
Abstract:
The description relates to sentence autocaptioning of images. One example can include a set of information modules and a set of sentence generation modules. The set of information modules can include individual information modules configured to operate on an image or metadata associated with the image to produce image information. The set of sentence generation modules can include individual sentence generation modules configured to operate on the image information to produce a sentence caption for the image.
Control profile
Krishnan Ramnath from Fremont, CA, age ~41 Get Report