Patents by Inventor Maneesh KUMAR

Maneesh KUMAR 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: 20230238216
    Abstract: Bias supplies and plasma processing systems are disclosed. One bias supply comprises an output node, a return node, and a switch network and at least one power supply coupled to the output node and the return node. The switch network and the at least one power supply configured, in combination, to apply an asymmetric periodic voltage waveform and provide a corresponding current waveform at the output node relative to the return node. A timing parameter estimator receives a digital representation of a full cycle of the voltage and current waveforms, and generates a pulse width control signal based on a crossing time that the current waveform crosses a threshold current value after falling from a positive peak current value to control the switch network.
    Type: Application
    Filed: January 26, 2022
    Publication date: July 27, 2023
    Inventors: Maneesh Kumar Singh, Hien Minh Nguyen
  • Patent number: 11702264
    Abstract: A packaged oral care implement that includes a package and at least one oral care implement. The package may include a blister package having a receiving cavity and a flat panel coupled to the blister package to close an open end of the receiving cavity. The flat panel may include a first window aperture. A transparent film may be placed onto a front surface of the flat panel to cover or otherwise close the first window aperture.
    Type: Grant
    Filed: August 8, 2019
    Date of Patent: July 18, 2023
    Assignee: Colgate-Palmolive Company
    Inventors: Maneesh Kumar, Devesh Badola, Swapnil Raut
  • Publication number: 20230215197
    Abstract: Systems and methods for detection and localization of image and document forgery. The method can include the step of receiving a dataset having a plurality of authentic images and a plurality of manipulated images. The method can also include the step of benchmarking a plurality of image forgery algorithms using the dataset. The method can further include the step of generating a plurality of receiver operating characteristic (ROC) curves for each of the plurality of image forgery algorithms. The method also includes the step of calculating a plurality of area under curve metrics for each of the plurality of ROC curves. The method further includes the step of training a neural network for image forgery based on the plurality of area under curve metrics.
    Type: Application
    Filed: August 9, 2022
    Publication date: July 6, 2023
    Applicant: Insurance Services Office, Inc.
    Inventors: Anurag Ghosh, Dongmian Zou, Maneesh Kumar Singh
  • Patent number: 11667654
    Abstract: The present invention relates to an improved process for the preparation of a compound of formula (I), wherein PG1 may be independently selected from tert-butyloxycarbonyl (Boc), phthaloyl, 9-fluorenylmethyloxycarbonyl (Fmoc), triphenylmethyl (Trityl), carboxybenzyl (Cbz), trifluoroacetyl, benzyl (Bn), benzylidene, methanesulfonyl (Mesyl), toluene sulfonyl (Tosyl) or acyl; its isolation as solid and use for the preparation of the compound of formula (IV), in particular the compound of formula (IV) i.e. [(1R)-3-methyl-1[[(2S)-1-oxo-3-phenyl-2-[(pyrazinylcarbonyl) amino]propyl]amino]butyl] boronic acid with more than 99.95% chiral purity, as measured by HPLC.
    Type: Grant
    Filed: February 19, 2018
    Date of Patent: June 6, 2023
    Assignee: Fresenius Kabi Oncology Ltd.
    Inventors: Maneesh Kumar Pandey, Raj Narayan Tiwari, Sonu Shukla, Sarbjot Singh Sokhi, Govind Singh, Saswata Lahiri, Walter Cabri
  • Patent number: 11663489
    Abstract: A system for improved localization of image forgery. The system generates a variational information bottleneck objective function and works with input image patches to implement an encoder-decoder architecture. The encoder-decoder architecture controls an information flow between the input image patches and a representation layer. The system utilizes information bottleneck to learn useful residual noise patterns and ignore semantic content present in each input image patch. The system trains a neural network to learn a representation indicative of a statistical fingerprint of a source camera model from each input image patch while excluding semantic content thereof. The system can determine a splicing manipulation localization by the trained neural network.
    Type: Grant
    Filed: June 24, 2020
    Date of Patent: May 30, 2023
    Assignees: Insurance Services Office, Inc., The Regents of the University of Colorado
    Inventors: Aurobrata Ghosh, Steve Cruz, Terrance E. Boult, Maneesh Kumar Singh, Venkata Subbarao Veeravarasapu, Zheng Zhong
  • Patent number: 11636607
    Abstract: Computer vision systems and methods for optimizing correlation clustering for image segmentation are provided. The system receives input data and generates a correlation clustering formulation for Benders Decomposition for optimized correlation clustering of the input data. The system optimizes the Benders Decomposition for the generated correlation clustering formulation and performs image segmentation using the optimized Benders Decomposition.
    Type: Grant
    Filed: December 23, 2020
    Date of Patent: April 25, 2023
    Assignee: Insurance Services Office, Inc.
    Inventors: Maneesh Kumar Singh, Julian Yarkony
  • Patent number: 11610322
    Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: March 21, 2023
    Assignee: Insurance Services Office, Inc.
    Inventors: Venkata Subbarao Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh
  • Patent number: 11562591
    Abstract: Computer vision systems and methods for text classification are provided. The system detects a plurality of text regions in an image and generates a bounding box for each detected text region. The system utilizes a neural network to recognize text present within each bounding box and classifies the recognized text, based on at least one extracted feature of each bounding box and the recognized text present within each bounding box, according to a plurality of predefined tags. The system can associate a key with a value and return a key-value pair for each predefined tag.
    Type: Grant
    Filed: December 23, 2020
    Date of Patent: January 24, 2023
    Assignee: Insurance Services Office, Inc.
    Inventors: Khoi Nguyen, Maneesh Kumar Singh
  • Publication number: 20220366194
    Abstract: Computer vision systems and methods for localizing image forgery are provided. The system generates a constrained convolution via a plurality of learned rich filters. The system trains a convolutional neural network with the constrained convolution and a plurality of images of a dataset to learn a low level representation of each image among the plurality of images. The low level representation is indicative of a statistical signature of at least one source camera model of each image. The system can determine a splicing manipulation localization by the trained convolutional neural network.
    Type: Application
    Filed: July 19, 2022
    Publication date: November 17, 2022
    Applicant: Insurance Services Office, Inc.
    Inventors: Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Kumar Singh
  • Patent number: 11450431
    Abstract: A method of identifying an optimum treatment for a patient suffering from coronary artery disease, comprising: (i) providing patient information selected from: (a) status in the patient of one or more coronary disease associated biomarkers; (b) one or more items of medical history information selected from prior condition history, intervention history and medication history; (c) one or more items of diagnostic history, if the patient has a diagnostic history; and (d) one or more items of demographic data; (ii) aggregating the patient information in: (a) a Bayesian network; (b) a machine learning and neural network; (c) a rule-based system; and (d) a regression-based system; (iii) deriving a predicted probabilistic adverse event outcome for each intervention comprising percutaneous coronary intervention by placement of a bare metal stent, or a drug-coated stent; or by coronary artery bypass grafting; and (iv) determining the intervention having the lowest predicted probabilistic adverse outcome.
    Type: Grant
    Filed: November 15, 2013
    Date of Patent: September 20, 2022
    Assignee: Siemens Healthcare GmbH
    Inventors: Ali Kamen, Maneesh Kumar Singh, Sebastian Poelsterl, Lance Anthony Ladic, Dorin Comaniciu
  • Patent number: 11440912
    Abstract: The invention relates to a process for the preparation of ribociclib of formula V or its salts. The invention provides novel crystalline forms of ribociclib succinate and ribociclib trifluoroacetate. The present invention also relates to pharmaceutical compositions comprising a crystalline form of ribociclib succinate and at least a pharmaceutically acceptable carrier. It further relates to the use of such compositions in the treatment of cancer.
    Type: Grant
    Filed: October 26, 2018
    Date of Patent: September 13, 2022
    Assignee: FRESENIUS KABI ONCOLOGY LTD
    Inventors: Sarbjot Singh Sokhi, Govind Singh, Saswata Lahiri, Maneesh Kumar Pandey, Raj Narayan Tiwari, Sonu Shukla, Sachin Musmade, Heena Dua, Walter Cabri
  • Patent number: 11410414
    Abstract: Systems and methods for detection and localization of image and document forgery. The method can include the step of receiving a dataset having a plurality of authentic images and a plurality of manipulated images. The method can also include the step of benchmarking a plurality of image forgery algorithms using the dataset. The method can further include the step of generating a plurality of receiver operating characteristic (ROC) curves for each of the plurality of image forgery algorithms. The method also includes the step of calculating a plurality of area under curve metrics for each of the plurality of ROC curves. The method further includes the step of training a neural network for image forgery based on the plurality of area under curve metrics.
    Type: Grant
    Filed: October 10, 2017
    Date of Patent: August 9, 2022
    Assignee: Insurance Services Office, Inc.
    Inventors: Anurag Ghosh, Dongmian Zou, Maneesh Kumar Singh
  • Patent number: 11392800
    Abstract: Computer vision systems and methods for localizing image forgery are provided. The system generates a constrained convolution via a plurality of learned rich filters. The system trains a convolutional neural network with the constrained convolution and a plurality of images of a dataset to learn a low level representation of each image among the plurality of images. The low level representation is indicative of a statistical signature of at least one source camera model of each image. The system can determine a splicing manipulation localization by the trained convolutional neural network.
    Type: Grant
    Filed: July 2, 2020
    Date of Patent: July 19, 2022
    Assignee: Insurance Services Office, Inc.
    Inventors: Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Kumar Singh
  • Publication number: 20220164546
    Abstract: Machine learning (ML) systems and methods for fact extraction and claim verification are provided. The system receives a claim and retrieves a document from a dataset. The document has a first relatedness score higher than a first threshold, which indicates that ML models of the system determine that the document is most likely to be relevant to the claim. The dataset includes supporting documents and claims including a first group of claims supported by facts from more than two supporting documents and a second group of claims not supported by the supporting documents. The system selects a set of sentences from the document. The set of sentences have second relatedness scores higher than a second threshold, which indicate that the ML models determine that the set of sentences are most likely to be relevant to the claim. The system determines whether the claim includes facts from the set of sentences.
    Type: Application
    Filed: November 24, 2021
    Publication date: May 26, 2022
    Applicant: Insurance Services Office, Inc.
    Inventors: Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Kumar Singh, Mohit Bansal
  • Publication number: 20220165029
    Abstract: Computer vision systems and methods for high-fidelity representation of complex 3D surfaces using deep unsigned distance embeddings are provided. The system receives data associated with the 3D surface. The system processes the data based at least in part on one or more computer vision models to predict an unsigned distance field and a normal vector field. The unsigned distance field is indicative of proximity to the 3D surface and includes a predicted closest unsigned distance to a surface point of the 3D surface from a given point in a 3D space. The normal vector field is indicative of a surface orientation of the 3D surface and includes a predicted normal vector to the surface point closest to the given point. The system further determines the 3D surface representation based at least in part on the unsigned distance field and the normal vector field.
    Type: Application
    Filed: November 24, 2021
    Publication date: May 26, 2022
    Applicant: Insurance Services Office, Inc.
    Inventors: Rahul M. Venkatesh, Sarthak Sharma, Aurobrata Ghosh, Laszlo A. Jeni, Maneesh Kumar Singh
  • Publication number: 20210353218
    Abstract: Machine learning systems and methods for multiscale Alzheimer's dementia recognition through spontaneous speech are provided. The system retrieves one or more audio samples and processes the one or more audio samples to extract acoustic features from audio samples. The system further processes the one or more audio samples to extract linguistic features from the audio samples. Machine learning is performed on the extracted acoustic and linguistic features, and the system indicates a likelihood of Alzheimer's disease based on output of machine learning performed on the extracted acoustic and linguistic features.
    Type: Application
    Filed: May 17, 2021
    Publication date: November 18, 2021
    Applicant: Insurance Services Office, Inc.
    Inventors: Erik Edwards, Charles Dognin, Bajibabu Bollepalli, Maneesh Kumar Singh
  • Publication number: 20210342997
    Abstract: Computer vision systems and methods for vehicle damage detection are provided. An embodiment of the system generates a dataset and trains a neural network with a plurality of images of the dataset to learn to detect an attribute of a vehicle present in an image of the dataset and to classify at least one feature of the detected attribute. The system can detect the attribute of the vehicle and classify the at least one feature of the detected attribute by the trained neural network. In addition, an embodiment of the system utilizes a neural network to reconstruct a vehicle from one or more digital images.
    Type: Application
    Filed: December 16, 2020
    Publication date: November 4, 2021
    Applicant: Insurance Services Office, Inc.
    Inventors: Siddarth Malreddy, Sashank Jujjavarapu, Abhinav Gupta, Maneesh Kumar Singh, Yash Patel, Shengze Wang
  • Patent number: 11078231
    Abstract: The present invention relates to a process for the purification of compound of formula II, wherein X may be independently selected from trifluoroacetic acid, hydrochloric acid, hydrobromic acid, p-toluene sulfonic acid and phosphoric acid; its isolation as solid and use for the preparation of carfilzomib.
    Type: Grant
    Filed: September 13, 2017
    Date of Patent: August 3, 2021
    Assignee: FRESENIUS KABI ONCOLOGY LTD
    Inventors: Walter Cabri, Saswata Lahiri, Govind Singh, Sarbjot Singh Sokhi, Maneesh Kumar Pandey, Raj Narayan Tiwari, Sonu Prasad Shukla
  • Publication number: 20210227249
    Abstract: Computer vision systems and methods for compositional pixel prediction are provided. The system receives an input image frame having a plurality of entities where each entity has a location at a first time step. The system processes the input image frame to extract a representation of each entity. The system utilizes an entity predictor to determine a predicted representation of each extracted entity representation at a next time step based on each extracted entity representation and a latent variable and utilizes a frame decoder to generate a predicted frame based on the input image frame and the predicted entity representations. The system trains an encoder to predict a distribution over the latent variable based on the input image frame and a final frame of a ground truth video associated with the input image frame.
    Type: Application
    Filed: January 19, 2021
    Publication date: July 22, 2021
    Applicant: Insurance Services Office, Inc.
    Inventors: Yufei Ye, Maneesh Kumar Singh, Abhinav Gupta, Shubham Tulsiani
  • Patent number: D943428
    Type: Grant
    Filed: August 10, 2018
    Date of Patent: February 15, 2022
    Assignee: Colgate-Palmolive Company
    Inventors: Maneesh Kumar, Devesh Badola, Swapnil Raut