Patents by Inventor Yuval BECKER

Yuval BECKER 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).

  • Patent number: 12620055
    Abstract: Image processing systems and image processing techniques leveraging neural networks (e.g., convolutional neural networks (CNNs)) for image restoration tasks (e.g., for demosaicing tasks) are described. In certain aspects, Mixture of Experts (MoE) techniques may be employed, where multiple different expert networks are used to divide a problem space (e.g., image reconstruction tasks) into homogenous regions. For example, each MoE module may reconstruct a certain problem in an image, and a gating component may activate certain MoE modules to provide a reconstructed image. In some aspects, training and optimization techniques are described for each expert of the MoE architecture, to increase individual performance (e.g., a sub-task for each expert of an image processing system may be imposed in a residual manner, a gating function may be trained, etc.).
    Type: Grant
    Filed: October 23, 2023
    Date of Patent: May 5, 2026
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Raz Zvi Nossek, Yuval Becker, Tomer Peleg, Stas Dubinchik
  • Publication number: 20240281921
    Abstract: Image processing systems and image processing techniques leveraging neural networks (e.g., convolutional neural networks (CNNs)) for image restoration tasks (e.g., for demosaicing tasks) are described. In certain aspects, Mixture of Experts (MoE) techniques may be employed, where multiple different expert networks are used to divide a problem space (e.g., image reconstruction tasks) into homogenous regions. For example, each MoE module may reconstruct a certain problem in an image, and a gating component may activate certain MoE modules to provide a reconstructed image. In some aspects, training and optimization techniques are described for each expert of the MoE architecture, to increase individual performance (e.g., a sub-task for each expert of an image processing system may be imposed in a residual manner, a gating function may be trained, etc.).
    Type: Application
    Filed: October 23, 2023
    Publication date: August 22, 2024
    Inventors: Raz Zvi Nossek, Yuval Becker, Tomer Peleg, Stas Dubinchik
  • Publication number: 20190320997
    Abstract: A method and system of the invention generally relate to measuring ambient pressure in systems comprising incompressible fluids. Particularly, the method and system relate to monitoring pressure within body lumens. The ambient pressure may be measured by transmitting a frequency comb having non-uniform spacing between transmitted frequencies at the passive sensor and measuring the frequency response of the passive sensor. In one embodiment, a higher-order harmonic of the sensor is excited and measured to determine the ambient pressure. In another embodiment, the frequency response of frequencies in-between the transmitted frequencies are measured to determine the ambient pressure.
    Type: Application
    Filed: April 19, 2019
    Publication date: October 24, 2019
    Inventors: Amir KOHEN, Yuval BECKER, Eric S. TAMMAM