Yuan Li

US Patent:

6539149, Mar 25, 2003

Filed:

Sep 20, 1999

Appl. No.:

09/399575

Inventors:

Giovanni Barbarossa - Tucker GA
Leonard George Cohen - Atlanta GA
Yuan P. Li - Duluth GA
Yan Wang - Norcross GA

Assignee:

Lucent Technologies Inc. - Murray Hill NJ

International Classification:

G02B 634

US Classification:

385 37, 359571

Abstract:

In accordance with the invention, an optical router for an optical communications system comprises a pair of transmissive Echelle gratings having their grating surfaces coupled by a waveguide grating. The arrangement provides for substantial design freedom in that the dispersive parameters include the shapes of the first and second Echelle gratings as well as the path length difference among the waveguides. Moreover the device eliminates any need for reflective surfaces in the Echelle gratings.

US Patent:

6658181, Dec 2, 2003

Filed:

Jan 2, 2002

Appl. No.:

10/038508

Inventors:

Yan Wang - Norcross GA
Yuan P. Li - Duluth GA

Assignee:

Wavesplitter Technologies, Inc. - Fremont CA

International Classification:

G02B 612

US Classification:

385 37, 385 24, 385 27, 385 14

Abstract:

A method and apparatus provides a WDM optical signal having a plurality of channels with a pair-wise orthogonal polarization state. The method begins by receiving a plurality of unpolarized optical wavelengths defining a plurality of optical channels separated by a prescribed channel spacing. A polarization wavelength dependent shift is imparted to the optical wavelengths, which is substantially equal to a particular fraction of the prescribed channel spacing.

US Patent:

6917760, Jul 12, 2005

Filed:

Dec 31, 2001

Appl. No.:

10/039242

Inventors:

Yuan P. Li - Duluth GA, US
Yan Wang - Norcross GA, US
Kevin Sullivan - Fremont CA, US

Assignee:

Wavesplitter Technologies, Inc. - Fremont CA

International Classification:

H04B010/00

US Classification:

398 82, 398 48

Abstract:

A method and apparatus is provided for reformatting or interleaving a WDM signal that includes a plurality of optical channels having a first bandwidth and a first channel spacing. The method begins by receiving the WDM signal and dividing it into first and second subsets of optical channels each having a second channel spacing. Next, the first subset of optical channels are divided into third and fourth subsets of optical channels each having a third channel spacing. In addition, the second subset of optical channels is divided into fifth and sixth subsets of optical channels each having a fourth channel spacing. The third and fifth subsets of optical channels are combined to generate a first output WDM signal, while the fourth and sixth subsets of optical channels are combined to generate a second output WDM signal.

US Patent:

7006729, Feb 28, 2006

Filed:

Dec 31, 2001

Appl. No.:

10/039245

Inventors:

Yan Wang - Norcross GA, US
Yuan P. Li - Duluth GA, US

Assignee:

Wavesplitter Technologies, Inc. - Fremont CA

International Classification:

G02B 6/34
G02B 6/26

US Classification:

385 37, 385 46

Abstract:

An optical device is provided which includes a slab waveguide and at least one input waveguide coupled to a first side of the slab waveguide. The device also includes a plurality of output waveguides coupled to a second side of the slab waveguide. The slab waveguide has a segmented transition region that includes a plurality of waveguiding regions spaced apart from one other by at least one discrete sector.

US Patent:

8438163, May 7, 2013

Filed:

Dec 7, 2011

Appl. No.:

13/314061

Inventors:

Yuan Li - Los Angeles CA, US
Hartwig Adam - Marina del Rey CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 17/30

US Classification:

707737, 707706, 707722, 707754, 707915, 382159, 382195, 382209

Abstract:

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatically extracting logos from images. Methods include generating a query list including a plurality of logo search queries, for each logo search query of the plurality of logo search queries: generating a plurality of image search results, each image search result including image data, and clustering the plurality of image search results into a plurality of clusters, each cluster including a plurality of images of the plurality of image search results, extracting, for each cluster of the plurality of clusters, a representative image to provide a plurality of representative images, and a name corresponding to the representative image to provide a plurality of names, and providing the plurality of representative images and the plurality of names to a logo index, the logo index being accessible to identify one or more logo images in a query image.

US Patent:

8548195, Oct 1, 2013

Filed:

Jun 13, 2008

Appl. No.:

12/664588

Inventors:

Haizhou Ai - Beijing, CN
Yuan Li - Los Angeles CA, US
Shihong Lao - Kyoto, JP
Takayoshi Yamashita - Kizugawa, JP

Assignee:

Omron Corporation - Kyoto
Tsinghua University - Beijing

International Classification:

G06K 9/00

US Classification:

382103, 382165

Abstract:

The present invention relates to a tracking method and a tracking device adopting multiple observation models with different life spans. The tracking method is suitable for tracking an object in a low frame rate video or with abrupt motion, and uses three observation models with different life spans to track and detect a specific subject in frame images of a video sequence. An observation model I performs online learning with one frame image prior to the current image, an observation model II performs online learning with five frames prior to the current image, and an observation model III is offline trained. The three observation models are combined by a cascade particle filter so that the specific subject in the low frame rate video or the object with abrupt motion can be tracked quickly and accurately.

US Patent:

8577131, Nov 5, 2013

Filed:

Jul 12, 2011

Appl. No.:

13/181015

Inventors:

Yuan Li - Los Angeles CA, US
Hartwig Adam - Marina del Rey CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06K 9/62

US Classification:

382159, 382157, 382160, 382161, 382209

Abstract:

Systems and methods for improving visual object recognition by analyzing query images are disclosed. In one example, a visual object recognition module may determine query images matching objects of a training corpus utilized by the module. Matched query images may be added to the training corpus as training images of a matched object to expand the recognition of the object by the module. In another example, relevant candidate image corpora from a pool of image data may be automatically selected by matching the candidate image corpora against user query images. Selected image corpora may be added to a training corpus to improve recognition coverage. In yet another example, objects unknown to a visual object recognition module may be discovered by clustering query images. Clusters of similar query images may be annotated and added into a training corpus to improve recognition coverage.

US Patent:

8625887, Jan 7, 2014

Filed:

Jul 13, 2011

Appl. No.:

13/182076

Inventors:

Yuan Li - Los Angeles CA, US
Hartwig Adam - Marina del Rey CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06K 9/62

US Classification:

382159, 382209

Abstract:

Systems and methods for modeling the occurrence of common image components (e. g. , sub-regions) in order to improve visual object recognition are disclosed. In one example, a query image may be matched to a training image of an object. A matched region within the training image to which the query image matches may be determined and a determination may be made whether the matched region is located within an annotated image component of the training image. When the matched region matches only to the image component, an annotation associated with the component may be identified. In another example, sub-regions within a plurality of training image corpora may be annotated as common image components including associated information (e. g. , metadata). Matching sub-regions appearing in many training images of objects may be down-weighted in the matching process to reduce possible false matches to query images including common image components.