Patents by Inventor Goekhan Yildirim

Goekhan Yildirim 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).

  • Suction apparatus
    Patent number: 11406237
    Abstract: A suction apparatus includes a housing, at least one cyclone chamber, a collection container configured to as to be releasably connectable to the housing, and having a filter element. The suction apparatus further includes at least one positioning device within the cyclone chamber and configured for positioning at least one collection element within the cyclone chamber.
    Type: Grant
    Filed: May 5, 2020
    Date of Patent: August 9, 2022
    Assignee: Robert Bosch GmbH
    Inventors: Goekhan Yildirim, Patrick Schlauch
  • Suction Apparatus
    Publication number: 20200353484
    Abstract: A suction apparatus includes a housing, at least one cyclone chamber, a collection container configured to as to be releasably connectable to the housing, and having a filter element. The suction apparatus further includes at least one positioning device within the cyclone chamber and configured for positioning at least one collection element within the cyclone chamber.
    Type: Application
    Filed: May 5, 2020
    Publication date: November 12, 2020
    Inventors: Goekhan Yildirim, Patrick Schlauch
  • Systems, methods, and computer program products for searching and sorting images by aesthetic quality personalized to users or segments
    Patent number: 10410108
    Abstract: A method for assigning a personalized aesthetic score to an image is provided. The method includes providing a base neural network for generating learned features. The base neural network is trained on a first set of training images and the base neural network includes two or more layers comprising one or more initial layers and one or more final layers. The method further includes receiving a second set of training images and updating the base neural network to generate a personalized neural network based on the received second set of training images. Updating the base neural network comprises re-training the final layers of the base neural network with the second set of images and keeping the initial layers of the base neural network, such that the personalized neural network includes two or more layers comprising one or more initial layers and one or more final layers.
    Type: Grant
    Filed: August 7, 2017
    Date of Patent: September 10, 2019
    Inventors: Appu Shaji, Ramzi Rizk, Gökhan Yildirim
  • SYSTEMS, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR SEARCHING AND SORTING IMAGES BY AESTHETIC QUALITY PERSONALIZED TO USERS OR SEGMENTS
    Publication number: 20180039879
    Abstract: A method for assigning a personalized aesthetic score to an image is provided. The method includes providing a base neural network for generating learned features. The base neural network is trained on a first set of training images and the base neural network includes two or more layers comprising one or more initial layers and one or more final layers. The method further includes receiving a second set of training images and updating the base neural network to generate a personalized neural network based on the received second set of training images. Updating the base neural network comprises re-training the final layers of the base neural network with the second set of images and keeping the initial layers of the base neural network, such that the personalized neural network includes two or more layers comprising one or more initial layers and one or more final layers.
    Type: Application
    Filed: August 7, 2017
    Publication date: February 8, 2018
    Applicant: EyeEm Mobile GmbH
    Inventors: Appu SHAJI, Ramzi RIZK, Gökhan YILDIRIM