Patents Examined by Xiao Liu
  • Patent number: 12039640
    Abstract: A keyboard file verification method based on image processing comprises controlling a processor to perform following operations: obtaining a keyboard file; generating, according to the keyboard file, a search index and a feature image; obtaining a template image from a template database according to the search index; performing a calibration operation according to the feature image, wherein the calibration operation comprises: adjusting a resolution of the feature image according to a resolution of the template image; performing a shifting operation according to the feature image, to generate a plurality of candidate images; and comparing a key block of each of the plurality of candidate images with a key block of the template image to generate a difference map and a comparison result.
    Type: Grant
    Filed: December 10, 2021
    Date of Patent: July 16, 2024
    Assignees: INVENTEC (PUDONG) TECHNOLOGY CORPORATION, INVENTEC CORPORATION
    Inventors: Hao Hsuan Lee, Trista Pei-Chun Chen, Meng-Chia Hung
  • Patent number: 12033376
    Abstract: A system and method for training a neural network is implemented for detecting at least one entity in a document to derive relevant inferences therefrom. The method describes obtaining at least one document. The at least one document is processed, via a detection module, to detect a widget entity. The detected widget entity is classified as active or inactive based on a detected state of the widget entity. The classified widget entity is modified into a corresponding machine-readable widget-entity based on the detected state. The at least one document is processed, via an extraction module, to detect a text entity in near vicinity of the classified widget entity. A training pair comprising the machine-readable widget entity and the corresponding text entity is generated. The neural network is trained using the generated training pair.
    Type: Grant
    Filed: December 16, 2021
    Date of Patent: July 9, 2024
    Inventors: Reghu Hariharan, Jeevan Prakash, Harsh Kothari, Kavitha S, Rajat Jaiswal
  • Patent number: 12026229
    Abstract: A method is provided. The method includes generating a set of candidate training data based on a simulated environment and a first set of environmental parameters. The method also includes training a machine learning model based on the set of candidate training data. The method further includes obtaining a set of segmentations based on the machine learning model and a set of test data. The method further includes determining whether a mean intersection-over-union (MIOU) of the set of segmentations has increased by more than a threshold change. The method further includes generating a next set of candidate training data based on the simulated environment and a second set of environmental parameters for the simulated environment, in response to determining that the MIOU has increased by more than the threshold MIOU amount.
    Type: Grant
    Filed: October 29, 2021
    Date of Patent: July 2, 2024
    Assignee: VOLKSWAGEN AKTIENGESELLSCHAFT
    Inventors: Elnaz Vahedforough, Adrienne Othon, Jens Langenberg, Pratik P. Brahma
  • Patent number: 12019711
    Abstract: A generative adversarial network-based classification system and method that can generate missing data as missing data imputation values similar to real data using a generative adversarial network (GAN) and allowing training with labeled data sets with labels, as well as and irregular data sets such as non-labeled data sets without labels.
    Type: Grant
    Filed: March 17, 2020
    Date of Patent: June 25, 2024
    Assignee: AGILESODA INC.
    Inventors: Cheol-Kyun Rho, Ye-Rin Min, Pham-Tuyen Le
  • Patent number: 12014556
    Abstract: An image recognition method includes acquiring a target image, the target image being an image of a certificate to be recognized; text area recognition is performed on the target image to obtain a text area image of a target text corresponding to the certificate to be recognized; a text direction of the target text is determined according to the text area image; direction adjustment is performed on the text area image according to the text direction to obtain an adjusted text area image; and text recognition is performed on the adjusted text area image to obtain a text content of the target text.
    Type: Grant
    Filed: April 18, 2022
    Date of Patent: June 18, 2024
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Minhui Wu, Huajie Huang, Yugeng Lin
  • Patent number: 12014259
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating descriptions of input images. One of the methods includes obtaining an input image; processing the input image using a first neural network to generate an alternative representation for the input image; and processing the alternative representation for the input image using a second neural network to generate a sequence of a plurality of words in a target natural language that describes the input image.
    Type: Grant
    Filed: November 9, 2020
    Date of Patent: June 18, 2024
    Assignee: Google LLC
    Inventors: Samy Bengio, Oriol Vinyals, Alexander Toshkov Toshev, Dumitru Erhan
  • Patent number: 12002273
    Abstract: An apparatus for optimizing workflows of one or more microscopes and/or microscope systems includes one or more processors and one or more computer-readable storage media. The one or more computer-readable storage media have stored therein computer-executable instructions, which, when executed by the one or more processors cause execution of the following steps: implementing, by one or more components of the one or more microscopes and/or microscope systems, a workflow comprising a capture of first data; applying one or more trained models to the captured first data; and making at least one decision in relation to the workflow based on the application of the one or more trained models to the captured first data.
    Type: Grant
    Filed: September 25, 2019
    Date of Patent: June 4, 2024
    Assignee: LEICA MICROSYSTEMS CMS GMBH
    Inventors: Frank Sieckmann, Constantin Kappel
  • Patent number: 11995835
    Abstract: A pixel-level object detection system that detects an object at a pixel level, includes: an imaging unit that acquires an inference image that is an image that captures a detection target; an area detection unit that detects an area including a detection target from the inference image; a detail detection unit that detects the detection target using only local information from the inference image; and a result integration processing unit that integrates an output of the area detection unit with an output of the detail detection unit to output a segmentation map indicating, as a probability map, which pixel in the image corresponds to the detection object.
    Type: Grant
    Filed: April 14, 2021
    Date of Patent: May 28, 2024
    Assignee: HITACHI SYSTEMS, LTD.
    Inventors: Yuki Inoue, Hiroto Nagayoshi, Masato Nakamura
  • Patent number: 11995905
    Abstract: An object recognition method related to the field of artificial intelligence comprises: collecting an object to be subjected to recognition (S101); according to a target text detection model corresponding to the object to be subjected to recognition, carrying out screening and recognition on full text information corresponding to the object to be subjected to recognition, so as to obtain point-of-interest text information therefrom (S102); and carrying out recognition on the point-of-interest text information according to a preset text recognition model (S103). A target text detection model obtains point-of-interest text information by means of carrying out screening and recognition on full text information, such that the recognition of full text information in the prior art is avoided, thus saving recognition time, and improving the recognition efficiency.
    Type: Grant
    Filed: January 4, 2022
    Date of Patent: May 28, 2024
    Assignee: Beijing Baidu Netcom Science Technology Co., Ltd.
    Inventors: Bohao Feng, Xiaoshuai Zhang
  • Patent number: 11989921
    Abstract: A three-dimensional data encoding method includes generating a bitstream by encoding subspaces included in a current space including three-dimensional points. In the generating of the bitstream: first information is stored in a first header which is common to the subspaces and included in the bitstream, the first information indicating first coordinates which are coordinates of the current space; and second information is stored in a second header which is provided on a subspace basis and included in the bitstream, the second information indicating a difference between second coordinates which are coordinates of a corresponding subspace among the subspaces and the first coordinates.
    Type: Grant
    Filed: November 6, 2020
    Date of Patent: May 21, 2024
    Assignee: PANASONIC INTELLECTUAL PROPERTY CORPORATION OF AMERICA
    Inventors: Chung Dean Han, Pongsak Lasang, Chi Wang, Toshiyasu Sugio
  • Patent number: 11983942
    Abstract: A method for detecting a specific object based on a specific model includes: capturing a set of images, wherein objects in each image include a desired object; transmitting the set of images to a cloud server; in response to found objects being obtained from the set of images based on at least one object detection algorithm in the cloud server, displaying the found objects fora user to confirm which object is desired; in response to the desired object being confirmed from the found objects that are displayed, loading the specific model of the desired object from the cloud server, wherein the specific model of the desired object is trained on the cloud server based on at least the set of images and related CNN algorithm; and performing the specific model to detect the specific object on a captured image.
    Type: Grant
    Filed: June 24, 2021
    Date of Patent: May 14, 2024
    Assignee: HIMAX TECHNOLOGIES LIMITED
    Inventors: Ti-Wen Tang, Kuan-Ting Lai, Chin-Kuei Hsu
  • Patent number: 11961243
    Abstract: A geometric approach may be used to detect objects on a road surface. A set of points within a region of interest between a first frame and a second frame are captured and tracked to determine a difference in location between the set of points in two frames. The first frame may be aligned with the second frame and the first pixel values of the first frame may be compared with the second pixel values of the second frame to generate a disparity image including third pixels. One or more subsets of the third pixels that have a value above a first threshold may be combined, and the third pixels may be scored and associated with disparity values for each pixel of the one or more subsets of the third pixels. A bounding shape may be generated based on the scoring.
    Type: Grant
    Filed: February 26, 2021
    Date of Patent: April 16, 2024
    Assignee: NVIDIA Corporation
    Inventors: Dong Zhang, Sangmin Oh, Junghyun Kwon, Baris Evrim Demiroz, Tae Eun Choe, Minwoo Park, Chethan Ningaraju, Hao Tsui, Eric Viscito, Jagadeesh Sankaran, Yongqing Liang
  • Patent number: 11948378
    Abstract: Systems and methods for dynamically generating a predicted similarity score for a pair of input sequences. A predicted similarity score for a pair of input sequences is determined based at least in part on at least one of a token-level similarity probability score for the pair of input sequences, a target region match indication for the pair of input sequences, a fuzzy match score for the pair of input sequences, a character-level match score for the pair of input sequences, one or more similarity ratio occurrence indicators for the pair of input sequences, and a harmonic mean score of the fuzzy match score for the pair of input sequences and the token-level similarity probability score for the pair of input sequences.
    Type: Grant
    Filed: December 23, 2021
    Date of Patent: April 2, 2024
    Assignee: UnitedHealth Group Incorporated
    Inventors: Subhodeep Dey, Brad Booher, Edward Sverdlin, Reshma S. Ombase, Raghvendra Kumar Yadav
  • Patent number: 11941892
    Abstract: A method for providing data for creating a digital map. The method includes: detecting surroundings sensor data of the surroundings during a measuring run of a physical system, preferably a vehicle, the surroundings sensor data capturing the surroundings in an at least partially overlapping manner, first surroundings sensor data including three-dimensional information, and second surroundings sensor data including two-dimensional information; extracting, with the aid of a first neural network situated in the physical system, at least one defined object from the first and second surroundings sensor data into first extracted data; and extracting, with the aid of a second neural network situated in the physical system, characteristic features including descriptors from the first extracted data into second extracted data, the descriptors being provided for a defined alignment of the second extracted data in a map creation process.
    Type: Grant
    Filed: September 10, 2021
    Date of Patent: March 26, 2024
    Assignee: ROBERT BOSCH GMBH
    Inventors: Tayyab Naseer, Piyapat Saranrittichai, Carsten Hasberg
  • Patent number: 11934953
    Abstract: An image detection apparatus includes: a display outputting an image; a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: detect, by using a neural network, an additional information area in a first image output on the display; obtain style information of the additional information area from the additional information area; and detect, in a second image output on the display, an additional information area having style information different from the style information by using a model that has learned an additional information area having new style information generated based on the style information.
    Type: Grant
    Filed: June 22, 2021
    Date of Patent: March 19, 2024
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventor: Youngchun Ahn
  • Patent number: 11915500
    Abstract: A system uses a neural network based model to perform scene text recognition. The system achieves high accuracy of prediction of text from scenes based on a neural network architecture that uses double attention mechanism. The neural network based model includes a convolutional neural network component that outputs a set of visual features and an attention extractor neural network component that determines attention scores based on the visual features. The visual features and the attention scores are combined to generate mixed features that are provided as input to a character recognizer component that determines a second attention score and recognizes the characters based on the second attention score. The system trains the neural network based model by adjusting the neural network parameters to minimize a multi-class gradient harmonizing mechanism (GHM) loss. The multi-class GHM loss varies based on a level of difficulty of the sample.
    Type: Grant
    Filed: January 28, 2021
    Date of Patent: February 27, 2024
    Assignee: Salesforce, Inc.
    Inventors: Pan Zhou, Peng Tang, Ran Xu, Chu Hong Hoi
  • Patent number: 11908036
    Abstract: The technology described herein is directed to a cross-domain training framework that iteratively trains a domain adaptive refinement agent to refine low quality real-world image acquisition data, e.g., depth maps, when accompanied by corresponding conditional data from other modalities, such as the underlying images or video from which the image acquisition data is computed. The cross-domain training framework includes a shared cross-domain encoder and two conditional decoder branch networks, e.g., a synthetic conditional depth prediction branch network and a real conditional depth prediction branch network. The shared cross-domain encoder converts synthetic and real-world image acquisition data into synthetic and real compact feature representations, respectively.
    Type: Grant
    Filed: September 28, 2020
    Date of Patent: February 20, 2024
    Assignee: Adobe Inc.
    Inventors: Oliver Wang, Jianming Zhang, Dingzeyu Li, Zekun Hao
  • Patent number: 11906660
    Abstract: In various examples, a deep neural network (DNN) may be used to detect and classify animate objects and/or parts of an environment. The DNN may be trained using camera-to-LiDAR cross injection to generate reliable ground truth data for LiDAR range images. For example, annotations generated in the image domain may be propagated to the LiDAR domain to increase the accuracy of the ground truth data in the LiDAR domain—e.g., without requiring manual annotation in the LiDAR domain. Once trained, the DNN may output instance segmentation masks, class segmentation masks, and/or bounding shape proposals corresponding to two-dimensional (2D) LiDAR range images, and the outputs may be fused together to project the outputs into three-dimensional (3D) LiDAR point clouds. This 2D and/or 3D information output by the DNN may be provided to an autonomous vehicle drive stack to enable safe planning and control of the autonomous vehicle.
    Type: Grant
    Filed: August 28, 2020
    Date of Patent: February 20, 2024
    Assignee: NVIDIA Corporation
    Inventors: Tilman Wekel, Sangmin Oh, David Nister, Joachim Pehserl, Neda Cvijetic, Ibrahim Eden
  • Patent number: 11907338
    Abstract: Techniques are provided herein for retrieving images that correspond to a target subject matter within a target context. Although useful in a number of applications, the techniques provided herein are particularly useful in contextual product association and visualization. A method is provided to apply product images to a neural network. The neural network is configured to classify the products in the images. The images are associated with a context representing the combination of classified products in the images. These techniques leverage both seller-provided images of products and user-generated content, which potentially includes hundreds or thousands of images of the same or similar products as the seller-provided images. A graphical user interface is configured to permit a user to select the context of interest in which to visualize the products.
    Type: Grant
    Filed: January 26, 2021
    Date of Patent: February 20, 2024
    Assignee: Adobe Inc.
    Inventors: Gourav Singhal, Sourabh Gupta, Mrinal Kumar Sharma
  • Patent number: 11893086
    Abstract: A system for analyzing images includes a processing device includes a receiving module configured to receive an image, and an analysis module configured to apply the received image to a machine learning network and classify one or more features in the received image, the machine learning network configured to propagate image data through a plurality of convolutional layers, each convolutional layer of the plurality of convolutional layers including a plurality of filter channels, the machine learning network including a bottleneck layer configured to recognize an image feature based on a shape of an image component, The system also includes an output module configured to output characterization data that includes a classification of the one or more features.
    Type: Grant
    Filed: March 10, 2021
    Date of Patent: February 6, 2024
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Dan Levi, Noa Garnett, Roy Uziel