Patents by Inventor Abir Das

Abir Das 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).

  • Temporal contrastive learning for semi-supervised video action recognition
    Patent number: 12067082
    Abstract: A base pathway of a computerized two-pathway video action recognition model is trained using a plurality of labeled video samples. The base pathway is trained using a plurality of unlabeled video samples at a first framerate. An auxiliary pathway of the computerized two-pathway video action recognition model is trained using a plurality of the unlabeled video samples at a second framerate, the second framerate being slower than the first framerate, wherein the training of the base pathway and the training of the auxiliary pathway result in a trained computerized two-pathway video action recognition model. A candidate video is categorized using the trained computerized two-pathway video action recognition model and the categorized candidate video is stored in a computer-accessible video database system for information retrieval.
    Type: Grant
    Filed: October 29, 2021
    Date of Patent: August 20, 2024
    Assignees: International Business Machines Corporation, Indian Institute of Technology
    Inventors: Rameswar Panda, Rogerio Schmidt Feris, Abir Das
  • TEMPORAL CONTRASTIVE LEARNING FOR SEMI-SUPERVISED VIDEO ACTION RECOGNITION
    Publication number: 20230138254
    Abstract: A base pathway of a computerized two-pathway video action recognition model is trained using a plurality of labeled video samples. The base pathway is trained using a plurality of unlabeled video samples at a first framerate. An auxiliary pathway of the computerized two-pathway video action recognition model is trained using a plurality of the unlabeled video samples at a second framerate, the second framerate being slower than the first framerate, wherein the training of the base pathway and the training of the auxiliary pathway result in a trained computerized two-pathway video action recognition model. A candidate video is categorized using the trained computerized two-pathway video action recognition model and the categorized candidate video is stored in a computer-accessible video database system for information retrieval.
    Type: Application
    Filed: October 29, 2021
    Publication date: May 4, 2023
    Inventors: Rameswar Panda, Rogerio Schmidt Feris, Abir Das