Patents by Inventor Abhishek SARKAR

Abhishek SARKAR 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).

  • Patent number: 11386144
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media for generating tags for an object portrayed in a digital image based on predicted attributes of the object. For example, the disclosed systems can utilize interleaved neural network layers of alternating inception layers and dilated convolution layers to generate a localization feature vector. Based on the localization feature vector, the disclosed systems can generate attribute localization feature embeddings, for example, using some pooling layer such as a global average pooling layer. The disclosed systems can then apply the attribute localization feature embeddings to corresponding attribute group classifiers to generate tags based on predicted attributes. In particular, attribute group classifiers can predict attributes as associated with a query image (e.g., based on a scoring comparison with other potential attributes of an attribute group).
    Type: Grant
    Filed: September 9, 2019
    Date of Patent: July 12, 2022
    Assignee: Adobe Inc.
    Inventors: Ayush Chopra, Mausoom Sarkar, Jonas Dahl, Hiresh Gupta, Balaji Krishnamurthy, Abhishek Sinha
  • Publication number: 20220007213
    Abstract: The disclosure provides methods, apparatus and machine-readable mediums for mitigating power failures in base stations in wireless communication networks. In one aspect of the disclosure, a method for mitigating power failures in a wireless communication network is provided. The method comprises, responsive to a determination that a primary power supply for a base station in the wireless communication network has failed or is predicted to fail, initiating deployment of an unmanned aerial vehicle to the base station to charge one or more batteries providing a secondary power supply for the base station.
    Type: Application
    Filed: February 15, 2019
    Publication date: January 6, 2022
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Leonid MOKRUSHIN, Abhishek SARKAR, Selim ICKIN, Kaushik DEY, Ashis Kumar ROY
  • Publication number: 20210403159
    Abstract: A method (100) for managing a group of Unmanned Aerial Vehicles (UAVs) operable to fly in a formation is disclosed, each UAV being programmed with a task to be performed by the UAV. The method is performed in a controller UAV of the group and comprises receiving UAV status information from UAVs in the group (110), obtaining information on a current formation of the group (120) and combining the received UAV status information with the information on current group formation to form a representation of a first state of the group (130). The method further comprises using a machine learning model to predict, on the basis of the first state of the group, an optimal formation transition to a new formation (140) and to instruct the UAVs in the group to perform the predicted optimal formation transition (150). An optimal formation transition is a transition to a formation that will minimise predicted total energy consumption for all UAVs in the group to complete their tasks.
    Type: Application
    Filed: January 22, 2019
    Publication date: December 30, 2021
    Inventors: Kaushik Dey, Abhishek Sarkar, Ashis Kumar Roy, Dhiraj Nagaraja Hegde
  • Publication number: 20210323070
    Abstract: Embodiments of the present invention provide an electromagnet alignment system for AM or 3D printing technology providing improved in-situ alignment of the magnetic particulate material as it is dispensed during deposition to form a 3D shape. In-situ alignment of the magnetic particulate material can be controlled to be unidirectional or multi-directional.
    Type: Application
    Filed: April 15, 2021
    Publication date: October 21, 2021
    Inventors: Cajetan Ikenna Nlebedim, Abhishek Sarkar, Matthew J. Kramer, Thomas Lograsso, Christopher Haase, Somashekara Adinarayanappa, Mariappan Parans Paranthaman
  • Publication number: 20210296926
    Abstract: Methods and devices optimize backup power management for network devices connected to backup power sources including two different batteries. Machine learning techniques are used to predict upcoming power outages affecting the network device based on power-related historic information and current conditions. A backup-power operation plan prescribing usage of the backup power sources during the predicted power outages is then generated. The backup-power operation plan schedules a battery among the backup power devices to be used at least twice without being recharged.
    Type: Application
    Filed: July 19, 2018
    Publication date: September 23, 2021
    Inventors: Lackis ELEFTHERIADIS, Christofer FLINTA, Valentin KULYK, Konstantinos VANDIKAS, Abhishek SARKAR
  • Publication number: 20190147390
    Abstract: The present disclosure relates to a method performed by a processing device (4) of a Work Force Management (WFM) system (1) for predicting timely completion of a work order for service at a remote site (3) of a telecommunication system (2). The method comprises obtaining information about a time period allowed for completion of the work order. The method also comprises selecting, based on previous knowledge about the remote site, a set of factors which may affect service at the remote site. The method also comprises updating information about the selected factors. The method also comprises, at a first point in time within the allowed time period, obtaining information about a current status of the work order. The method also comprises, based on the updated information and the work order status at said first point of time, predicting whether it is likely that the work order will be completed within the allowed time period.
    Type: Application
    Filed: April 21, 2016
    Publication date: May 16, 2019
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Shivashankar SUBRAMANIAN, Kalyana Chakravarthy BEDHU, Saradindu KAR, Sujoy ROYCHOWDHURY, Abhishek SARKAR