Ashutosh Saxena

US Patent:

8477246, Jul 2, 2013

Filed:

Jul 9, 2009

Appl. No.:

12/500416

Inventors:

Ashutosh Saxena - Redwood City CA, US
Siddharth Batra - Stanford CA, US
Andrew Y. Ng - Palo Alto CA, US

Assignee:

The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA

International Classification:

H04N 5/272

US Classification:

348586, 345632

Abstract:

Methods, systems, products and devices are implemented for editing video image frames. According to one such method, image content is embedded into video. A selection input is received for a candidate location in a video frame of the video. The candidate location is traced in subsequent video frames of the video by approximating three-dimensional camera motion between two frames using a model that compensates for camera rotations, camera translations and zooming, and by optimizing the approximation using statistical modeling of three-dimensional camera motion between video frames. Image content is embedded in the candidate location in the subsequent video frames of the video based upon the tracking thereof.

US Patent:

20080114750, May 15, 2008

Filed:

Nov 14, 2006

Appl. No.:

11/559659

Inventors:

Ashutosh Saxena - Stanford CA, US
Jingwei Lu - Redmond WA, US
Nimish Khanolkar - Kirkland WA, US

Assignee:

MICROSOFT CORPORATION - Redmond WA

International Classification:

G06F 17/30

US Classification:

707 5, 707E17108

Abstract:

The subject disclosure pertains to systems and methods for facilitating item retrieval and/or ranking. An original ranking of items can be modified and enhanced utilizing a Markov Random Field (MRF) approach based upon item similarity. Item similarity can be measured utilizing a variety of methods. An MRF similarity model can be generated by measuring of similarity between items. An original ranking of items can be obtained, where each document is evaluated independently based upon a query. For example, the original ranking can be obtained using a keyword search. The original ranking can be enhanced based upon similarity of items. For example, items that are deemed to be similar should have similar rankings. The MRF model can be used in conjunction with original rankings to adjust rankings to reflect item relationships.

US Patent:

20080137989, Jun 12, 2008

Filed:

Nov 21, 2007

Appl. No.:

11/944017

Inventors:

Andrew Y. Ng - Stanford CA, US
Ashutosh Saxena - Redwood City CA, US
Sung Hwan Chung - San Jose CA, US
Min Sun - Princeton NJ, US

International Classification:

G06K 9/36

US Classification:

382285

Abstract:

Three-dimensional image data is generated. According to an example embodiment, three-dimensional depth information is estimated from a still image. A set of monocular images and their corresponding ground-truth depth maps are used to determine a relationship between monocular image features and the depth of image points. For different points in a particular image, the determined relationship is used together with local and global image features including monocular cues to determine relative depths of the points.

US Patent:

20190353337, Nov 21, 2019

Filed:

May 20, 2019

Appl. No.:

16/416656

Inventors:

- Redwood City CA, US
Ashutosh Saxena - San Mateo CA, US

Assignee:

BrainofT Inc. - Redwood City CA

International Classification:

F21V 23/04
H01H 13/14
H01H 19/14
H01H 23/12

Abstract:

One embodiment can provide a light switch module for controlling at least one light source coupled to the light switch module. The light switch module can include a manual control configured to receive a user manual operation; a control-signal-receiving module configured to receive, from a central controller, a control signal; and a switch-mode-configuration module coupled to the manual control and the control-signal-receiving module. The switch-mode-configuration module is configured to place the light switch in a first operation mode in response to receiving the control signal and place the light switch in a second operation mode in response to not receiving the control signal within a predetermined time interval.