Patents by Inventor Nikola Milosavljevic

Nikola Milosavljevic 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).

  • MODEL FITTING USING KEYPOINT REGRESSION
    Publication number: 20230281863
    Abstract: Keypoints are predicted in an image. Predictions are generated for each of the keypoints of an image as a 2D random variable, normally distributed with location (x, y) and standard deviation sigma. A neural network is trained to maximize a log-likelihood that samples from each of the predicted keypoints equal a ground truth. The trained neural network is used to predict keypoints of an image without generating a heatmap.
    Type: Application
    Filed: June 28, 2022
    Publication date: September 7, 2023
    Inventors: Julien Pascal Christophe VALENTIN, Erroll William WOOD, Thomas Joseph CASHMAN, Martin de LA GORCE, Tadas BALTRUSAITIS, Daniel Stephen WILDE, Jingjing SHEN, Matthew Alastair JOHNSON, Charles Thomas HEWITT, Nikola MILOSAVLJEVIC, Stephan Joachim GARBIN, Toby SHARP, Ivan STOJILJKOVIC
  • Detecting pose of 3D objects using a geometry image
    Patent number: 11164334
    Abstract: There is an apparatus for detecting pose of an object. The apparatus comprises a processor configured to receive captured sensor data depicting the object. It also has a memory storing a parameterized model of a class of 3D shape of which the object is a member, where an instance of the model is given as a mapping from a point in a 2D rectangular grid to a 3D position. The processor is configured to compute values of the parameters of the model by calculating an optimization to fit the model to the captured sensor data, using the parametrized mapping. The processor is configured to output the computed values of the parameters comprising at least global position and global orientation of the object.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: November 2, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Erroll William Wood, Thomas Joseph Cashman, Andrew William Fitzgibbon, Nikola Milosavljevic
  • DETECTING POSE OF 3D OBJECTS USING A GEOMETRY IMAGE
    Publication number: 20200311977
    Abstract: There is an apparatus for detecting pose of an object. The apparatus comprises a processor configured to receive captured sensor data depicting the object. It also has a memory storing a parameterized model of a class of 3D shape of which the object is a member, where an instance of the model is given as a mapping from a point in a 2D rectangular grid to a 3D position. The processor is configured to compute values of the parameters of the model by calculating an optimization to fit the model to the captured sensor data, using the parametrized mapping. The processor is configured to output the computed values of the parameters comprising at least global position and global orientation of the object.
    Type: Application
    Filed: March 29, 2019
    Publication date: October 1, 2020
    Inventors: Erroll William WOOD, Thomas Joseph CASHMAN, Andrew William FITZGIBBON, Nikola MILOSAVLJEVIC
  • Computer-implemented method for obtaining a minimum biclique cover in a bipartite dataset
    Patent number: 8209742
    Abstract: A method includes providing a bipartite graph having vertices of a first type, vertices of a second type, and a plurality of edges, wherein each edge joins a vertex of the first type with a vertex of the second type. A unipartite edge dual graph is generated from the bipartite graph, and a minimum clique partition of the edge dual graph is recursively determined. A biclique is then created in the bipartite graph corresponding to each clique in the minimum clique partition of the edge dual graph.
    Type: Grant
    Filed: January 7, 2009
    Date of Patent: June 26, 2012
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Robert S. Schreiber, Alina Ene, Nikola Milosavljevic, Robert E. Tarjan, Mehul A. Shah
  • Computer-Implemented Method for Obtaining a Minimum Biclique Cover in a Bipartite Dataset
    Publication number: 20100175111
    Abstract: A method includes providing a bipartite graph having vertices of a first type, vertices of a second type, and a plurality of edges, wherein each edge joins a vertex of the first type with a vertex of the second type. A unipartite edge dual graph is generated from the bipartite graph, and a minimum clique partition of the edge dual graph is recursively determined. A biclique is then created in the bipartite graph corresponding to each clique in the minimum clique partition of the edge dual graph.
    Type: Application
    Filed: January 7, 2009
    Publication date: July 8, 2010
    Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
    Inventors: Robert S. Schreiber, Alina Ene, Nikola Milosavljevic, Robert E. Tarjan, Mehul A. Shah