Hui C Wu

20210382922, Dec 9, 2021

Aug 19, 2021

17/406893

- Armonk NY, US
Hui Wu - White Plains NY, US
Rogerio Feris - Hartford CT, US

G06F 16/332
G06F 16/383
G06K 9/62
G06N 3/04
G06F 16/535
G06F 16/53

A method includes receiving input from a client at least partially specifying one or more characteristics, wherein the initial input includes a seed image and a natural language statement describing a desired change to the seed image; predicting one or more attributes of the seed image by operation of a neural network on the seed image; and parsing the natural language statement to identify desired changes to the one or more attributes of the seed image. The method also includes generating an interim target image by changing the one or more attributes of the seed image, according to the parsed natural language statement; selecting a set of images from an image database for output to the client, each of said set of images being determined to at least partially satisfy the one or more changed attributes of the seed image; and displaying the set of images to the client.

20210073252, Mar 11, 2021

Oct 17, 2019

16/656468

- Armonk NY, US
Hui Wu - White Plains NY, US
Rogerio Feris - Hartford CT, US

G06F 16/332
G06F 16/383
G06N 3/04
G06K 9/62

A method includes: receiving initial input from a client at least partially specifying one or more characteristics sought by the client; selecting a set of images from an image database for output to the client; and determining after each set of images whether an end condition has occurred. The method also includes, until the end condition has occurred: responsive to each set of images output to the client, receiving additional input from the client further specifying the one or more characteristics sought by the client; and responsive to each input received from the client, selecting another set of images for presentation to the client, said set of images being determined to at least partially satisfy the one or more characteristics specified by all input received from the client, said determination being based at least in part on side information for respective images for at least the set of images.

20200401933, Dec 24, 2020

Jun 21, 2019

16/448176

- Armonk NY, US
Aldis Sipolins - New York NY, US
Patrick Watson - Montrose NY, US
Ravi Tejwani - Cambridge MA, US
Marco Cavallo - New York NY, US
Hui Wu - White Plains NY, US

G06N 20/00
G06F 3/01
G16C 60/00

A system includes a virtual reality system configured to enable a user to interact with a virtual environment, a plurality of biofeedback sensors configured to monitor a user, and a computer system including a virtual reality module configured to generate at least a view of the virtual environment, a biofeedback module configured to fuse output of the plurality of biofeedback sensors with a plurality of events within the virtual environment, a training module configured to generate a model of user behavior, wherein the training module executed by the computer system enables the computer system to make a prediction of a user response of the user based on a corpus of biofeedback data, and an alert module configured to generate at least one alert to the user via the virtual reality system based on the user response predicted by the computer system.

20200285304, Sep 10, 2020

Mar 9, 2019

16/297644

- Armonk NY, US
Aldis Sipolins - New York NY, US
Jenna Reinen - Greenwich CT, US
Ravi Tejwani - Cambridge MA, US
Hui Wu - White Plains NY, US

G06F 3/01

A virtual reality (VR) system for VR desk application that allows a user to move in a VR environment while sitting in front of a working desk is provided. The VR system receives sensor data from a mobile device. The VR system generates a set of sitting motion data by interpreting the received sensor data as a motion of a limb of a person in a sitting posture. The VR system maps the set of sitting motion data into a set of movements in the VR environment. The VR system renders the VR environment and presents the rendered VR environment.

20200160744, May 21, 2020

Nov 21, 2018

16/197874

- Armonk NY, US
Marco Cavallo - New York NY, US
Ravi Tejwani - Cambridge MA, US
Jenna Reinen - Greenwich CT, US
Hui Wu - White Plains NY, US

G09B 17/04
G06F 3/01
G09B 17/00

A method includes detecting an eye movement of a reader during a reading of presented text; determining, based on whether an eye movement is detected, whether the reader is looking at the presented text; pausing a presentation of the presented text if it is determined that the reader is not looking at the presented text; and resuming, if the presentation of the text is paused, the presentation of the presented text.

20190197289, Jun 27, 2019

Dec 22, 2017

15/852082

- Armonk NY, US
HARIKLIA DELIGIANNI - Alpine NJ, US
NALINI K. RATHA - Yorktown Heights NY, US
VINCE SIU - Thornhill, CA
HUI WU - WHITE PLAINS NC, US

G06K 9/00
G06F 17/30
G01N 33/02

A method of displaying information relating to an allergen present in a food substance together with a user profile, the method including capturing an image of a scene, segmenting the image to determining at least a segmentation of the food substance in the image, determining a classification of the food substance using the segmentation, determining a presence of the allergen in the food substance using the classification of the food substance and a database of allergens and food substances, determining a risk to a user using the user profile specifying a user sensitivity to the allergen, and displaying an output including a view of the user profile and the image, wherein the image is augmented to identify the presence of the allergen.

20180349977, Dec 6, 2018

Jun 1, 2017

15/610797

- Armonk NY, US
Hui Wu - White Plains NY, US

G06Q 30/06
G06Q 50/00
G06N 99/00

Product recommendations are provided to a target user that take into account the style, interests, and hobbies of the target user and a desire by the target user to be unique from the target user's social group. In some aspects, a list of recommended products may be generated for the target user based on data about the target user's purchasing habits, social media interactions, or any other data. A list of products associated with users in the target user's social group may also be generated, for example, based on products purchased, currently worn by, or previously worn by the users in the target user's social group. A uniqueness-aware list of recommended products may then be generated from the list of recommended products by removing any products found in both the list of recommended products and the list of products associated with users in the target user's social group.

20180089540, Mar 29, 2018

Sep 23, 2016

15/273872

- Armonk NY, US
John R. Smith - New York NY, US
Rosario A. Uceda-Sosa - Hartsdale NY, US
Hui Wu - White Plains NY, US

G06K 9/66
G06K 9/62

A method includes utilizing two or more classifiers to calculate, for an input image, probability scores for a plurality of classes based on visual information extracted from the input image and semantic relationships in a classification hierarchy, wherein each of the two or more classifiers is associated with a given one of two or more levels in the classification hierarchy with each level in the classification hierarchy comprising a subset of the plurality of classes, and classifying the input image based on the calculated probability scores.