Patents by Inventor Mert KILICKAYA

Mert KILICKAYA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • CONTEXT-DRIVEN LEARNING OF HUMAN-OBJECT INTERACTIONS
    Publication number: 20240135712
    Abstract: A method for classifying a human-object interaction includes identifying a human-object interaction in the input. Context features of the input are identified. Each identified context feature is compared with the identified human-object interaction. An importance of the identified context feature is determined for the identified human-object interaction. The context feature is fused with the identified human-object interaction when the importance is greater than a threshold.
    Type: Application
    Filed: November 14, 2020
    Publication date: April 25, 2024
    Inventors: Mert KILICKAYA, Noureldien Mahmoud Elsayed HUSSEIN, Efstratios GAVVES, Arnold Wilhelmus Maria SMEULDERS
  • Network for interacted object localization
    Patent number: 11790646
    Abstract: A method for human-object interaction detection includes receiving an image. A set of features are extracted from multiple positions of the image. One or more human-object pairs may be predicted based on the extracted set of features. A human-object interaction may be determined based on a set of candidate interactions and the predicted human-object pairs.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: October 17, 2023
    Assignee: QUALCOMM Technologies, Inc.
    Inventors: Mert Kilickaya, Arnold Wilhelmus Maria Smeulders
  • NETWORK FOR INTERACTED OBJECT LOCALIZATION
    Publication number: 20220414371
    Abstract: A method for human-object interaction detection includes receiving an image. A set of features are extracted from multiple positions of the image. One or more human-object pairs may be predicted based on the extracted set of features. A human-object interaction may be determined based on a set of candidate interactions and the predicted human-object pairs.
    Type: Application
    Filed: June 25, 2021
    Publication date: December 29, 2022
    Inventors: Mert KILICKAYA, Arnold Wilhelmus Maria SMEULDERS
  • Subject-object interaction recognition model
    Patent number: 11481576
    Abstract: A method for processing an image is presented. The method locates a subject and an object of a subject-object interaction in the image. The method determines relative weights of the subject, the object, and a context region for classification. The method further classifies the subject-object interaction based on a classification of a weighted representation of the subject, a weighted representation of the object, and a weighted representation of the context region.
    Type: Grant
    Filed: March 23, 2020
    Date of Patent: October 25, 2022
    Assignee: Qualcomm Technologies, Inc.
    Inventors: Mert Kilickaya, Efstratios Gavves, Arnold Wilhelmus Maria Smeulders
  • SUBJECT-OBJECT INTERACTION RECOGNITION MODEL
    Publication number: 20200302232
    Abstract: A method for processing an image is presented. The method locates a subject and an object of a subject-object interaction in the image. The method determines relative weights of the subject, the object, and a context region for classification. The method further classifies the subject-object interaction based on a classification of a weighted representation of the subject, a weighted representation of the object, and a weighted representation of the context region.
    Type: Application
    Filed: March 23, 2020
    Publication date: September 24, 2020
    Inventors: Mert KILICKAYA, Efstratios GAVVES, Arnold Wilhelmus Maria SMEULDERS