Patents by Inventor Shreyas V. JOSHI

Shreyas V. JOSHI 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: 20230094061
    Abstract: Various implementations disclosed herein include devices, systems, and methods that provide measurements of objects based on a location of a surface of the objects. An exemplary process may include obtaining a three-dimensional (3D) representation of a physical environment that was generated based on depth data and light intensity image data, generating a 3D bounding box corresponding to an object in the physical environment based on the 3D representation, determining a class of the object based on the 3D semantic data, determining a location of a surface of the object based on the class of the object, the location determined by identifying a plane within the 3D bounding box having semantics in the 3D semantic data satisfying surface criteria for the object, and providing a measurement of the object, the measurement of the object determined based on the location of the surface of the object.
    Type: Application
    Filed: December 1, 2022
    Publication date: March 30, 2023
    Inventors: Amit Jain, Aditya Sankar, Qi Shan, Alexandre Da Veiga, Shreyas V. Joshi
  • Patent number: 11574485
    Abstract: Various implementations disclosed herein include devices, systems, and methods that obtain a three-dimensional (3D) representation of a physical environment that was generated based on depth data and light intensity image data, generate a 3D bounding box corresponding to an object in the physical environment based on the 3D representation, classify the object based on the 3D bounding box and the 3D semantic data, and display a measurement of the object, where the measurement of the object is determined using one of a plurality of class-specific neural networks selected based on the classifying of the object.
    Type: Grant
    Filed: January 14, 2021
    Date of Patent: February 7, 2023
    Assignee: Apple Inc.
    Inventors: Amit Jain, Aditya Sankar, Qi Shan, Alexandre Da Veiga, Shreyas V. Joshi
  • Publication number: 20220414543
    Abstract: A device implementing a system for providing predicted RGB images includes at least one processor configured to obtain an infrared image of a subject, and to obtain a reference RGB image of the subject. The at least one processor is further configured to provide the infrared image and the reference RGB image to a machine learning model, the machine learning model having been trained to output predicted RGB images of subjects based on infrared images and reference RGB images of the subjects. The at least one processor is further configured to provide a predicted RGB image of the subject based on output by the machine learning model.
    Type: Application
    Filed: July 7, 2022
    Publication date: December 29, 2022
    Inventors: Carlos E. GUESTRIN, Leon A. GATYS, Shreyas V. JOSHI, Gustav M. LARSSON, Kory R. WATSON, Srikrishna SRIDHAR, Karla P. VEGA, Shawn R. SCULLY, Thorsten GERNOTH, Onur C HAMSICI
  • Publication number: 20220262025
    Abstract: Various implementations disclosed herein include devices, systems, and methods that determine a wrist measurement or watch band size using depth data captured by a depth sensor from one or more rotational orientations of the wrist. In some implementations, depth data captured by a depth sensor including at least two depth map images of a wrist from different angles is obtained. In some implementations, an output is generated based on inputting the depth data into a machine learning model, the output corresponding to circumference of the wrist or a watch band size of the wrist. Then, a watch band size recommendation is provided based on the output.
    Type: Application
    Filed: February 14, 2022
    Publication date: August 18, 2022
    Inventors: Aditya Sankar, Qi Shan, Shreyas V. Joshi, David Guera Cobo, Fareeha lrfan, Bryan M. Perfetti
  • Patent number: 11386355
    Abstract: A device implementing a system for providing predicted RGB images includes at least one processor configured to obtain an infrared image of a subject, and to obtain a reference RGB image of the subject. The at least one processor is further configured to provide the infrared image and the reference RGB image to a machine learning model, the machine learning model having been trained to output predicted RGB images of subjects based on infrared images and reference RGB images of the subjects. The at least one processor is further configured to provide a predicted RGB image of the subject based on output by the machine learning model.
    Type: Grant
    Filed: December 6, 2019
    Date of Patent: July 12, 2022
    Assignee: Apple Inc.
    Inventors: Carlos E. Guestrin, Leon A. Gatys, Shreyas V. Joshi, Gustav M. Larsson, Kory R. Watson, Srikrishna Sridhar, Karla P. Vega, Shawn R. Scully, Thorsten Gernoth, Onur C Hamsici
  • Publication number: 20210224516
    Abstract: Various implementations disclosed herein include devices, systems, and methods that obtain a three-dimensional (3D) representation of a physical environment that was generated based on depth data and light intensity image data, generate a 3D bounding box corresponding to an object in the physical environment based on the 3D representation, classify the object based on the 3D bounding box and the 3D semantic data, and display a measurement of the object, where the measurement of the object is determined using one of a plurality of class-specific neural networks selected based on the classifying of the object.
    Type: Application
    Filed: January 14, 2021
    Publication date: July 22, 2021
    Inventors: Amit Jain, Aditya Sankar, Qi Shan, Alexandre Da Veiga, Shreyas V. Joshi
  • Publication number: 20200193328
    Abstract: A device implementing a system for providing predicted RGB images includes at least one processor configured to obtain an infrared image of a subject, and to obtain a reference RGB image of the subject. The at least one processor is further configured to provide the infrared image and the reference RGB image to a machine learning model, the machine learning model having been trained to output predicted RGB images of subjects based on infrared images and reference RGB images of the subjects. The at least one processor is further configured to provide a predicted RGB image of the subject based on output by the machine learning model.
    Type: Application
    Filed: December 6, 2019
    Publication date: June 18, 2020
    Inventors: Carlos E. GUESTRIN, Leon A. GATYS, Shreyas V. JOSHI, Gustav M. LARSSON, Kory R. WATSON, Srikrishna SRIDHAR, Karla P. VEGA, Shawn R. SCULLY, Thorsten GERNOTH, Onur C. HAMSICI