Patents Examined by Leon Flores
  • Patent number: 11928792
    Abstract: Disclosed is a fusion network-based method for image super-resolution and non-uniform motion deblurring. The method achieves, for the first time, restoration of a low-resolution non-uniform motion-blurred image based on a deep neural network. The network uses two branch modules to respectively extract features for image super-resolution and non-uniform motion deblurring, and achieves, by means of a feature fusion module that is trainable, adaptive fusion of outputs of the two branch modules for extracting features. Finally, an upsampling reconstruction module achieves a non-uniform motion deblurring and super-resolution task. According to the method, a self-generated set of training data is configured to perform offline training on a network, thereby achieving restoration of the low-resolution non-uniform motion-blurred image.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: March 12, 2024
    Assignee: XI'AN JIAOTONG UNIVERSITY
    Inventors: Fei Wang, Xinyi Zhang, Hang Dong, Kanglong Zhang, Zhao Wei
  • Patent number: 11928965
    Abstract: A vehicle capable of autonomous driving includes a lane detection system. The lane detection system is trained to predict lane lines using training images. The training images are automatically processed by a training module of the lane detection system in order to create ground truth data. The ground truth data is used to train the lane detection system to predict lane lines that are occluded in real-time images of roadways. The lane detection system predicts lane lines of a roadway in a real-time image even though the lane lines maybe indiscernible due to objects on the roadway or due to the position of the lane lines being in the horizon.
    Type: Grant
    Filed: April 25, 2023
    Date of Patent: March 12, 2024
    Assignee: Phantom AI, Inc.
    Inventor: Youngwook Paul Kwon
  • Patent number: 11915419
    Abstract: Systems and methods for using a prediction model jointly with a normalization model to provide prediction results are provided. One example method includes receiving an input image of a tissue sample of a patient and generating a normalized image by applying a normalization model on the input image. The normalization model is configured to generate normalized data using input data for a prediction model, and the prediction model is configured to generate prediction results using normalized data generated by the normalization model. The normalization model and the prediction model are jointly trained. The method further includes generating a prediction of disease severity for the patient by applying the prediction model on the normalized image.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: February 27, 2024
    Assignee: Verily Life Sciences LLC
    Inventors: Ali Behrooz, Cheng-Hsun Wu
  • Patent number: 11893777
    Abstract: Systems, methods, and computer program products for image recognition in which instructions are executable by a processor to dynamically generate simulated documents and corresponding images, which are then used to train a fully convolutional neural network. A plurality of document components are provided, and the processor selects subsets of the document components. The document components in each subset are used to dynamically generate a corresponding simulated document and a simulated document image. The convolutional neural network processes the simulated document image to produce a recognition output. Information corresponding to the document components from which the image was generated is used as an expected output. The recognition output and expected output are compared, and weights of the convolutional neural network are adjusted based on the differences between them.
    Type: Grant
    Filed: January 12, 2021
    Date of Patent: February 6, 2024
    Assignee: Open Text Corporation
    Inventors: Arnaud Gilles Flament, Christopher Dale Lund, Guillaume Bernard Serge Koch, Denis Eric Goupil
  • Patent number: 11887336
    Abstract: A relative position of an object in the surroundings of a vehicle is estimated based on a two-dimensional camera image. A control unit determines an object contour of the object from the camera image and determines at least one digital object template that represents the object based on the object contour. The control unit forward projects the at least one object template from respective different positions onto an image plane of the camera image. Each forward-projected object template yields a respective two-dimensional contour proposal, and the control unit compares the contour proposals with the object contour of the object.
    Type: Grant
    Filed: July 5, 2019
    Date of Patent: January 30, 2024
    Assignee: ARGO AI GmbH
    Inventor: Francesco Ferroni
  • Patent number: 11880178
    Abstract: A surface data acquisition, storage, and assessment system for detecting and quantifying similarities or differences between scanned surface data before and after the surface has been acted upon by a surface altering element.
    Type: Grant
    Filed: July 15, 2020
    Date of Patent: January 23, 2024
    Inventors: Paul E. Thomson, Adam R. Gerlach
  • Patent number: 11880985
    Abstract: The disclosure herein enables tracking of multiple objects in a real-time video stream. For each individual frame received from the video stream, a frame type of the frame is determined. Based on the individual frame being an object detection frame type, a set of object proposals is detected in the individual frame, associations between the set of object proposals and a set of object tracks are assigned, and statuses of the set of object tracks are updated based on the assigned associations. Based on the individual frame being an object tracking frame type, single-object tracking is performed on the frame based on each object track of the set of object tracks and the set of object tracks is updated based on the performed single-object tracking. For each frame received, a real-time object location data stream is provided based on the set of object tracks.
    Type: Grant
    Filed: May 28, 2022
    Date of Patent: January 23, 2024
    Assignee: Microsoft Technology Licensing, LLC.
    Inventors: Ishani Chakraborty, Yi-Ling Chen, Lu Yuan
  • Patent number: 11874119
    Abstract: The present disclosure provides devices, systems and methods for mapping of traffic boundaries.
    Type: Grant
    Filed: January 8, 2021
    Date of Patent: January 16, 2024
    Assignee: NETRADYNE, INC.
    Inventors: Jonathan Albert Cox, Veeresh Taranalli, David Jonathan Julian, Badugu Naveen Chakravarthy, Michael Campos, Adam David Kahn, Venkata Ramanan Venkatachalam Jayaraman, Arvind Yedla
  • Patent number: 11875265
    Abstract: A computer-implemented method for training an artificial neural network using training data, which include features and identifiers, the features characterizing term candidates from a corpus, the corpus including a text from a domain, the identifier characterizing a degree of association to at least three classes for term candidates that differ from one another, different classes indicating different degrees of association of the term candidates to the domain, the training data including an assignment of features to identifiers. An artificial neural network, method for classifying term candidates, and computer-implemented method for generating training data, are also described.
    Type: Grant
    Filed: July 11, 2019
    Date of Patent: January 16, 2024
    Assignee: ROBERT BOSCH GMBH
    Inventors: Anna Constanze Haetty, Michael Dorna
  • Patent number: 11868442
    Abstract: A board damage classification system includes a Convolutional Neural Network (CNN) sub-engine and a Graph Convolutional Network (GCN) sub-engine that were trained based on digital images of structures that have experienced natural disasters. The CNN sub-engine receives a board digital image of a board, analyzes the board digital image to identify board features, and determines a board feature damage classification for the board features. The CGN sub-engine receives a board feature graph that was generated using the board digital image and that includes nodes that correspond to the board features in the board digital image, and defines relationships between the nodes included in the board feature graph. The board feature damage classification determined by the CNN sub-engine and the relationships defined by the GCN sub-engine are then used to generate a board damage classification that includes a damage probability for board features in the board digital image.
    Type: Grant
    Filed: June 8, 2021
    Date of Patent: January 9, 2024
    Assignee: Dell Products L.P.
    Inventors: Vinay Sawal, Ravi Shankar Sabapathy, Sithiqu Shahul Hameed
  • Patent number: 11854176
    Abstract: A method and device for generating a composite group image from subgroup images is provided. Subgroup images, each having a common background, are accessed. The boundaries of a subgroup area within each of the subgroup images is determined. At least one horizontal and at least one vertical shift factor is determined using the determined boundaries. An arrangement for the subgroup images based on the at least one horizontal and the at least one vertical shift factor is generated. The composite group image is generated by blending the subgroup images arranged in the arrangement.
    Type: Grant
    Filed: May 6, 2021
    Date of Patent: December 26, 2023
    Assignee: Shutterfly, LLC
    Inventor: Keith A. Benson
  • Patent number: 11847779
    Abstract: Systems and methods for determining a concordance between results of medical assessments are provided. Results of a medical assessment of a first type for an anatomical object of a patient and results of a medical assessment of a second type for the anatomical object are received. The results of the medical assessment of the first type are converted to a hemodynamic measure. A concordance analysis between the results of the medical assessment of the first type and the results of the medical assessment of the second type based on the hemodynamic measure is performed. Results of the concordance analysis are output.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: December 19, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Lucian Mihai Itu, Puneet Sharma, Ulrich Hartung, Catalin Lungu
  • Patent number: 11847816
    Abstract: Techniques are provided for processing video frames in a process flow that includes first and second computation engines. In an example, the first engine is an artificial intelligence based computation engine, and the second engine is a heuristics-based computation engine. A sequence of frames of a video includes a first and second frames that are two consecutive frames in the sequence. An analyzer determines whether the second frame has non-redundant information relative to the first frame. In response to the determination, the analyzer selects one of the first or second engine for processing at least a section of the second frame. For example, if the second frame has non-redundant information relative to the first frame, at least the section of the second frame is processed by the first engine. If the second frame does not include non-redundant information, the second frame is processed by the second engine.
    Type: Grant
    Filed: June 12, 2020
    Date of Patent: December 19, 2023
    Assignee: Intel Corporation
    Inventors: Pravin Chander Chandran, Raghavendra Bhat, Sean J. Lawrence
  • Patent number: 11847570
    Abstract: A method for training a deep learning model of a patterning process. The method includes obtaining (i) training data comprising an input image of at least a part of a substrate having a plurality of features and a truth image, (ii) a set of classes, each class corresponding to a feature of the plurality of features of the substrate within the input image, and (iii) a deep learning model configured to receive the training data and the set of classes, generating a predicted image, by modeling and/or simulation of the deep learning model using the input image, assigning a class of the set of classes to a feature within the predicted image based on matching of the feature with a corresponding feature within the truth image, and generating, by modeling and/or simulation, a trained deep learning model by iteratively assigning weights using a loss function.
    Type: Grant
    Filed: June 10, 2022
    Date of Patent: December 19, 2023
    Assignee: ASML NETHERLANDS B.V.
    Inventors: Adrianus Cornelis Matheus Koopman, Scott Anderson Middlebrooks, Antoine Gaston Marie Kiers, Mark John Maslow
  • Patent number: 11842493
    Abstract: A method for predicting brain disease state change is disclosed. The method includes acquiring test images obtained by capturing a portion of a human brain at a time interval, performing a pre-processing procedure of converting the test images into test voxels configured to be processed for image analysis, wherein a respective test voxel of the test voxels is composed of three-dimensional voxel units, mapping first and second test voxels selected from the test voxels acquired from a patient, with each other on a three-dimensional voxel unit, wherein the first test voxel is acquired at a first time-point and the second test voxel is acquired at a second time-point, generating a voxel-based data-set based on the mapped first and second test voxels, extracting a change in the test voxels using a deep neural network, and generating a state change probability model based on the change in the test voxels.
    Type: Grant
    Filed: July 24, 2020
    Date of Patent: December 12, 2023
    Assignees: THE ASAN FOUNDATION, UNIVERSITY OF ULSAN FOUNDATION FOR INDUSTRY COOPERATION
    Inventors: Dong Wha Kang, Young Hwan Kim
  • Patent number: 11836992
    Abstract: A system comprises a processor and a memory storing instructions. The processor receives an image for processing using a reinforcement learning based agent comprising a neural network trained using a reward function. The image includes N lane lines of a roadway, where N is a positive integer. The instructions configure the processor to traverse the image using the agent at least N times from a first end of the image to a second end of the image by: incrementally moving the agent from a first side of the image to a second side of the image after each traversal; and maximizing rewards for the agent using the reward function during each traversal of the image using the agent. The instructions configure the processor to identify the N lane lines of the roadway as a single cluster of lane lines after traversing the image using the agent at least N times.
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: December 5, 2023
    Assignee: General Motors LLC
    Inventors: Mohammed H. Al Qizwini, Orhan Bulan, David H. Clifford, Mason D. Gemar
  • Patent number: 11836923
    Abstract: An image processing apparatus according to the present invention calculates, even in a case where a region of a part as an observation target included in an image capturing range is different between a plurality of medical images in different time phases, a degree of slippage of the region of the part as the observation target with high accuracy.
    Type: Grant
    Filed: June 11, 2021
    Date of Patent: December 5, 2023
    Assignee: Canon Kabushiki Kaisha
    Inventors: Toru Tanaka, Ryo Ishikawa, Tatsuya Kimoto, Hiroshi Moriya
  • Patent number: 11830275
    Abstract: A person re-identification method and apparatus, a device, and a readable storage medium. A homogeneous training network of an initial person re-identification network is trained by means of an objective function such as a knowledge synergy for dynamic classification probability loss function to obtain a final person re-identification network carrying more accurate final weight parameters, and a person re-identification task is performed by means of the final person re-identification network. In this way, the accuracy and performance of the person re-identification network to process the person re-identification task may be improved, the storage space in a device may be reduced, more beneficial to the storage and deployment of the portable device, and the amount of calculation of performing the person re-identification task may be reduced, thereby increasing the processing rate of the person re-identification task.
    Type: Grant
    Filed: September 29, 2021
    Date of Patent: November 28, 2023
    Assignee: INSPUR SUZHOU INTELLIGENT TECHNOLOGY CO., LTD.
    Inventors: Li Wang, Baoyu Fan
  • Patent number: 11823453
    Abstract: The technology described herein is directed to a media indexer framework including a character recognition engine that automatically detects and groups instances (or occurrences) of characters in a multi-frame animated media file. More specifically, the character recognition engine automatically detects and groups the instances (or occurrences) of the characters in the multi-frame animated media file such that each group contains images associated with a single character. The character groups are then labeled and used to train an image classification model. Once trained, the image classification model can be applied to subsequent multi-frame animated media files to automatically classifying the animated characters included therein.
    Type: Grant
    Filed: February 1, 2022
    Date of Patent: November 21, 2023
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Oron Nir, Maria Zontak, Tucker Cunningham Burns, Apar Singhal, Lei Zhang, Irit Ofer, Avner Levi, Haim Sabo, Ika Bar-Menachem, Eylon Ami, Ella Ben Tov
  • Patent number: 11823459
    Abstract: A method includes receiving a first time series of video frames depicting a first area of interest that includes a display area in a retail environment, and using classification by a convolutional neural network to detect instances of people picking up inventory items from the display area. The method also includes receiving a second time series of video frames depicting a second area of interest in the retail environment, and determining, based upon one or more portions of the second time series of video frames, that at least one inventory item picked up at the display area was not, or will not likely be, checked out. The method also includes causing one or more alert messages to be displayed, including causing an alert message to be displayed based on the determining.
    Type: Grant
    Filed: March 14, 2022
    Date of Patent: November 21, 2023
    Assignee: SAI GROUP LIMITED
    Inventors: Somnath Sinha, Abhijit Sanyal