Patents by Inventor Alexey Supikov

Alexey Supikov 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).

  • Publication number: 20240302791
    Abstract: A method and system calibrates spatial light modulators.
    Type: Application
    Filed: March 7, 2023
    Publication date: September 12, 2024
    Applicant: Intel Corporation
    Inventors: Alexey Supikov, Michael Mefenza Nentedem
  • Publication number: 20240233062
    Abstract: Described herein is a graphics processor comprising a system interconnect and a graphics processor cluster coupled with the system interconnect. The graphics processor cluster includes circuitry configurable to generate per-frame neural representations of a multi-view video via incremental training and transferal of weights.
    Type: Application
    Filed: October 24, 2022
    Publication date: July 11, 2024
    Applicant: Intel Corporation
    Inventors: Shengze Wang, Alexey Supikov, Joshua Ratcliff, Ronald Azuma
  • Publication number: 20240233244
    Abstract: Apparatus and method for a hierarchical beam tracer.
    Type: Application
    Filed: January 16, 2024
    Publication date: July 11, 2024
    Inventors: Scott JANUS, Prasoonkumar SURTI, Karthik VAIDYANATHAN, Alexey SUPIKOV, Gabor LIKTOR, Carsten BENTHIN, Philip LAWS, Michael DOYLE
  • Patent number: 12019396
    Abstract: Techniques related to generating holographic images for a holographic heads up display are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via an iterative propagation feedback model. The iterative propagation feedback model is used to generate a feedback strength value, which is then used to generate a phase diffraction pattern for presentation at a holographic plane of the heads up display.
    Type: Grant
    Filed: April 27, 2023
    Date of Patent: June 25, 2024
    Assignee: Intel Corporation
    Inventors: Alexey Supikov, Qiong Huang, Ronald T. Azuma
  • Publication number: 20240135483
    Abstract: Described herein is a graphics processor comprising a system interconnect and a graphics processor cluster coupled with the system interconnect. The graphics processor cluster includes circuitry configurable to generate per-frame neural representations of a multi-view video via incremental training and transferal of weights.
    Type: Application
    Filed: October 23, 2022
    Publication date: April 25, 2024
    Applicant: Intel Corporation
    Inventors: Shengze Wang, Alexey Supikov, Joshua Ratcliff, Ronald Azuma
  • Publication number: 20240062391
    Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to improve separation mask estimation. An example apparatus includes interface circuitry, instructions, and programmable circuitry to at least one of instantiate or execute the instructions to deactivate a motion network and activate an attribute network in response to a frame input of a stream to a neural network. The example apparatus also executes the instructions to train the attribute network based on the frame input, activate the motion network and deactivate the attribute network in response to a subsequent frame input of the stream to the neural network, train the motion network based on the subsequent frame, and determine pixels of the video stream that are moving.
    Type: Application
    Filed: October 31, 2023
    Publication date: February 22, 2024
    Inventors: Niloufar Pourian, Alexey Supikov
  • Patent number: 11880928
    Abstract: Apparatus and method for a hierarchical beam tracer.
    Type: Grant
    Filed: April 19, 2022
    Date of Patent: January 23, 2024
    Assignee: INTEL CORPORATION
    Inventors: Scott Janus, Prasoonkumar Surti, Karthik Vaidyanathan, Alexey Supikov, Gabor Liktor, Carsten Benthin, Philip Laws, Michael Doyle
  • Publication number: 20230341815
    Abstract: Techniques related to generating holographic images for a holographic heads up display are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via an iterative propagation feedback model. The iterative propagation feedback model is used to generate a feedback strength value, which is then used to generate a phase diffraction pattern for presentation at a holographic plane of the heads up display.
    Type: Application
    Filed: April 27, 2023
    Publication date: October 26, 2023
    Applicant: Intel Corporation
    Inventors: Alexey Supikov, Qiong Huang, Ronald T. Azuma
  • Patent number: 11733648
    Abstract: Techniques related to generating holographic images are discussed. Such techniques include application of a hybrid system including a pre-trained deep neural network and a subsequent iterative process using a suitable propagation model to generate diffraction pattern image data for a target holographic image such that the diffraction pattern image data is to generate a holographic image when implemented via a holographic display.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: August 22, 2023
    Assignee: Intel Corporation
    Inventors: Alexey Supikov, Qiong Huang, Anders Grunnet-Jepsen, Paul Winer, Ronald T. Azuma, Ofir Mulla
  • Patent number: 11650542
    Abstract: Techniques related to generating holographic images are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via an iterative propagation feedback model. The iterative propagation feedback model is used to generate a feedback strength value, which is then used to generate a phase diffraction pattern for presentation at a holographic plane.
    Type: Grant
    Filed: May 10, 2022
    Date of Patent: May 16, 2023
    Assignee: Intel Corporation
    Inventors: Alexey Supikov, Qiong Huang, Ronald T. Azuma
  • Publication number: 20230043791
    Abstract: A method and system of holographic image processing includes phase error compensation.
    Type: Application
    Filed: October 5, 2022
    Publication date: February 9, 2023
    Applicant: Intel Corporation
    Inventors: Alexey Supikov, Ronald T. Azuma
  • Patent number: 11573528
    Abstract: Techniques related to generating holographic images are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via a wave propagation model. The wave propagation model is used to generate holographic data, which is then adjusted according to one or more constraints associated with the holographic display that will be used to generate a holographic image based on the adjusted holographic data.
    Type: Grant
    Filed: March 10, 2022
    Date of Patent: February 7, 2023
    Assignee: Intel Corporation
    Inventors: Alexey Supikov, Qiong Huang, Ronald T. Azuma
  • Publication number: 20220357704
    Abstract: Techniques related to generating holographic images are discussed. Such techniques include application of a hybrid system including a pre-trained deep neural network and a subsequent iterative process using a suitable propagation model to generate diffraction pattern image data for a target holographic image such that the diffraction pattern image data is to generate a holographic image when implemented via a holographic display.
    Type: Application
    Filed: July 25, 2022
    Publication date: November 10, 2022
    Applicant: Intel Corporation
    Inventors: Alexey Supikov, Qiong Huang, Anders Grunnet-Jepsen, Paul Winer, Ronald T. Azuma, Ofir Mulla
  • Publication number: 20220327763
    Abstract: Apparatus and method for a hierarchical beam tracer.
    Type: Application
    Filed: April 19, 2022
    Publication date: October 13, 2022
    Inventors: Scott JANUS, Prasoonkumar SURTI, Karthik VAIDYANATHAN, Alexey SUPIKOV, Gabor LIKTOR, Carsten BENTHIN, Philip LAWS, Michael DOYLE
  • Patent number: 11435695
    Abstract: Techniques related to generating holographic images are discussed. Such techniques include application of a hybrid system including a pre-trained deep neural network and a subsequent iterative process using a sui table propagation model to generate diffraction pattern image data for a target holographic image such that the diffraction pattern image data is to generate a holographic image when implemented via a holographic display.
    Type: Grant
    Filed: June 25, 2019
    Date of Patent: September 6, 2022
    Assignee: Intel Corporation
    Inventors: Alexey Supikov, Qiong Huang, Anders Grunnet-Jepsen, Paul Winer, Ronald T. Azuma, Ofir Mulla
  • Publication number: 20220269218
    Abstract: Techniques related to generating holographic images are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via an iterative propagation feedback model. The iterative propagation feedback model is used to generate a feedback strength value, which is then used to generate a phase diffraction pattern for presentation at a holographic plane.
    Type: Application
    Filed: May 10, 2022
    Publication date: August 25, 2022
    Applicant: Intel Corporation
    Inventors: Alexey Supikov, Qiong Huang, Ronald T. Azuma
  • Patent number: 11378915
    Abstract: Techniques related to generating holographic images are discussed. Such techniques include application of a pre-trained deep neural network to a target holographic image to generate a feedback strength value for error feedback in an iterative propagation feedback model and generating a diffraction pattern image corresponding to the target holographic image by applying the iterative propagation feedback model based on the target holographic image and using the feedback strength value.
    Type: Grant
    Filed: December 12, 2019
    Date of Patent: July 5, 2022
    Assignee: Intel Corporation
    Inventors: Alexey Supikov, Qiong Huang, Ronald T. Azuma
  • Publication number: 20220197214
    Abstract: Techniques related to generating holographic images are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via a wave propagation model. The wave propagation model is used to generate holographic data, which is then adjusted according to one or more constraints associated with the holographic display that will be used to generate a holographic image based on the adjusted holographic data.
    Type: Application
    Filed: March 10, 2022
    Publication date: June 23, 2022
    Applicant: Intel Corporation
    Inventors: Alexey Supikov, Qiong Huang, Ronald T. Azuma
  • Patent number: 11315304
    Abstract: Apparatus and method for a hierarchical beam tracer.
    Type: Grant
    Filed: August 26, 2020
    Date of Patent: April 26, 2022
    Assignee: INTEL CORPORATION
    Inventors: Scott Janus, Prasoonkumar Surti, Karthik Vaidyanathan, Alexey Supikov, Gabor Liktor, Carsten Benthin, Philip Laws, Michael Doyle
  • Publication number: 20210325828
    Abstract: Methods and apparatus to calibrate spatial light modulators are disclosed. Examples include processor circuitry to execute and/or instantiate instructions to provide a greyscale image to a spatial light modulator (SLM) to define voltages to be applied to individual pixels of the SLM. The voltages associated with pixel values in the greyscale image. The pixel values arranged in a double-slit grating pattern. The SLM to produce an interference pattern based on the double-slit grating pattern. The processor circuitry is to determine a phase difference between first and second gratings of the double-slit grating pattern based on the interference pattern. The processor circuitry is to generate a phase curvature based on the phase difference.
    Type: Application
    Filed: June 25, 2021
    Publication date: October 21, 2021
    Inventors: Anders Grunnet-Jepsen, Paul Winer, Alexey Supikov