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1.发明公开公开(公告)号：US20240193328A1
公开(公告)日：2024-06-13
申请号：US18534578
申请日：2023-12-09
Inventor： Avinash Sharma , Chandradeep Pokhariya , Shanthika Naik , Astitva Srivastava
Abstract: A method for determining two-dimensional (2D) patches corresponding to a three-dimensional (3D) object using machine learning models for enabling an improved texture mapping process on the 3D object. The method includes (i) receiving mesh of the 3D object, (ii) training first machine learning model by providing correlation between historic vertices with (a) historic faces, and (b) historic vertex normals of historic meshes based on an objective function of patch extraction, (iii) determining, using the first machine learning model, 2D patches by partitioning the mesh until distortion of the mesh reaches threshold distortion, (iv) training second machine learning model using (i) shape-related features of historic 2D patches associated with historic meshes and (ii) an objective function of surface parameterization of the historic 2D patches associated with the historic meshes, and (v) automatically parameterizing each vertex in the 2D patches to 2D points on 2D plane to enable the texture mapping process.
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2.发明公开公开(公告)号：US20230290371A1
公开(公告)日：2023-09-14
申请号：US18120374
申请日：2023-03-11
Inventor： C.V. Jawahar , Parul Kapoor , Sindhu B. Hegde , Rudrabha Mukhopadhyay , Vinay Namboodiri
Abstract: Embodiments herein provide a system and method for automatically generating a sign language video from an input speech using the machine learning model. The method includes (i) extracting a plurality of spectrograms of an input speech by (a) encoding, using an encoder, a time domain series of the input speech to a frequency domain series, and (b) decoding, using a decoder, a plurality of tokens for time steps of the frequency domain series, (ii) generating a plurality of pose sequences for a current time step of the plurality of spectrograms using a first machine learning model, and (iii) automatically generating, using a discriminator of a second machine learning model, a sign language video for the input speech using the plurality of pose sequences and the plurality of spectrograms when the plurality of pose sequences are matched with corresponding the plurality of spectrograms that are extracted.
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公开(公告)号：US20220215830A1
公开(公告)日：2022-07-07
申请号：US17567120
申请日：2022-01-01
Inventor： C.V. Jawahar , Rudrabha Mukhopadhyay , K R Prajwal , Vinay Namboodiri
Abstract: A processor-implemented method for generating a lip-sync for a face to a target speech of a live session to a speech in one or more languages in-sync with improved visual quality using a machine learning model and a pre-trained lip-sync model is provided. The method includes (i) determining a visual representation of the face and an audio representation, the visual representation includes crops of the face; (ii) modifying the crops of the face to obtain masked crops; (iii) obtaining a reference frame from the visual representation at a second timestamp; (iv) combining the masked crops at the first timestamp with the reference to obtain lower half crops; (v) training the machine learning model by providing historical lower half crops and historical audio representations as training data; (vi) generating lip-synced frames for the face to the target speech, and (vii) generating an in-sync lip-synced frames by the pre-trained lip-sync model.
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公开(公告)号：US20210117438A1
公开(公告)日：2021-04-22
申请号：US17078005
申请日：2020-10-22
Inventor： Manish Shrivastava , Vishnu Ramesh
IPC: G06F16/25 , G06N20/00 , G06F16/2457
Abstract: A system for generating a queryable structured document from an unstructured document using a machine learning model is provided. The system (i) identifies breakpoints in the unstructured document, (ii) segments the unstructured document into one or more fragments based on identified breakpoints, (iii) classifies the one or more fragments as one or more title fragments or one or more non-title fragments based on a sequence of a position of words used in each fragment of the one or more fragments, (iv) constructs a data tree using the one or more title fragments and the one or more non-title fragments as a node of the data tree; (v) assigns one or more vectors to each node of the data tree, and (vi) generates a structured document by providing matrix representation for each node of the data tree.
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5.发明授权公开(公告)号：US10084970B2
公开(公告)日：2018-09-25
申请号：US15832217
申请日：2017-12-05
Inventor： Vineet Gandhi , Moneish Kumar , Remi Pierre Ronfard , Michael Lee Gleicher
IPC: H04N9/74 , H04N5/262 , G06F3/0484 , H04N5/445
CPC classification number: H04N5/2624 , G06F3/0484 , G06F2203/04803 , H04N5/44591 , H04N21/23418 , H04N21/234363 , H04N21/4312 , H04N21/854
Abstract: A system and method for automatically generating split screen for a video of a dynamic scene is disclosed. The system generates the split screen by (a) obtaining the video of the dynamic scene, (b) detecting one or more objects in the video, (c) selecting one or more shot specifications for the one or more objects, (d) automatically cropping the dynamic scene of the one or more objects based on selected shot specifications, (e) automatically selecting a layout configuration for the split screen based on the cropped dynamic scenes to partition a display screen of a computing unit, (f) optimizing the split screen, (g) automatically generating the split screen by depicting (i) an overview of an original shot of the video in a top half and (ii) the cropped dynamic scenes in the one or more partition views of a bottom half and (h) displaying the split screen to a user.
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Patent Agency Ranking
6.发明公开公开(公告)号：US20240283660A1
公开(公告)日：2024-08-22
申请号：US18444639
申请日：2024-02-17
Inventor： Sujit Gujar , Kishore Kothapalli
CPC classification number: H04L9/3263 , H04L9/3231 , H04L9/50
Abstract: The present disclosure provides a system and a method for generating a secure digital certificate for a user using cryptographic hashing and storing the digital certificate on a smart contract by a decentralized blockchain. The method includes (i) generating a registration token for a first user using the cryptographic hashing, (ii) storing the registration token of the first user as a second hash in the smart contract, (iii) receiving digital request through the first user device, (iv) validating (a) the digital request of the first user by (m) authenticating whether the biometrics of the first user, and (n) checking whether the second hash exists in the decentralized blockchain, and (b) the second user associated with a second user device using a driver algorithm, (v) sending a message to the second user device to initiate the digital request and (vi) generating the digital certificate when the first user receives a verification.
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7.发明公开公开(公告)号：US20240154797A1
公开(公告)日：2024-05-09
申请号：US18279886
申请日：2022-03-01
Inventor： Kannan Srinathan
IPC: H04L9/08
CPC classification number: H04L9/0869 , H04L9/0825 , H04L9/0838
Abstract: A system and method for establishing a secure communication agreement between an initiating unit 102 and a responding unit 104 through a channel 106 are provided. The method includes generating, using first set of local random numbers, multi-dimensional matrices by an initiating unit. The method includes computing a transcript by the initiating unit based on multi-dimensional matrices and communicating to the responding unit. The method includes determining response by selecting a subset of the transcript to communicate response to the initiating unit. The method includes iteratively generating, communicating a subsequent transcript and waiting for a subsequent response from the responding unit for one or more times. The method includes computing a secret key as a function of the first set of local random numbers, the second set of local numbers, the subsequent transcripts, the subsequent responses at each iteration, and the indices of the selected subset J.
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公开(公告)号：US20230348118A1
公开(公告)日：2023-11-02
申请号：US18009716
申请日：2021-06-10
Inventor： Bonagiri Venkata Sai Gopala Suraj , Spandan Roy , Madhava Krishna K
CPC classification number: B64U10/14 , B64U20/70 , B64D1/08 , B64U2101/20
Abstract: An embodiment herein provides a re-configurable unmanned aerial vehicle that re-configures its shape based on the shape, size, weight of a payload, and efficiently performs payload delivery in real-time. The re-configurable unmanned aerial vehicle includes one or more rotor units placed at corners and is connected by one or more scissor units. The re-configurable unmanned aerial vehicle approaches the payload in a first location, and analyses the position and dimension of the payload with a camera, that enables the one or more scissor units to adjust its length by at least one elongation or compression following size and shape of the payload and fit the payload within the re-configurable unmanned aerial vehicle. The re-configurable unmanned aerial vehicle takes off carrying the payload from the first location and lands at a second location.
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公开(公告)号：US20220165367A1
公开(公告)日：2022-05-26
申请号：US17526712
申请日：2021-11-15
Inventor： U. Deva Priyakumar , Sarvesh Mehta , Siddhartha Laghuvarapu , Yashaswi Pathak
Abstract: A system and method for exploring a chemical space during molecular design for at least one top hit molecule using a machine learning (ML) model are provided. The method includes (i) representing the at least one molecule stored in a drug library into at least one vector; (ii) clustering the at least one vector to obtain at least one cluster of molecules into one or more clusters; (iii) uniformly sampling a first subset of molecules from each cluster of molecules; (vi) determining a docking score for sampled subset of molecules; (iv) training the ML model by correlating sampled subset of molecules with docking score; (viii) computing acquisition function values for a second subset of molecules from each cluster; and (ix) determining at least one top hit molecule based on the computed acquisition function values, thereby exploring the chemical space for the at least one top hit molecule.
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公开(公告)号：US11237008B2
公开(公告)日：2022-02-01
申请号：US16724322
申请日：2019-12-22
Inventor： Praveen Paruchuri , Sreeja Kamishetty , Soumya Vadlamannati
Abstract: A method for providing maximum traffic flow throughput and controlling vehicular pollution concentration is provided. The method includes (i) processing a source location and a destination location obtained from a user device associated with a user to determine at least one possible route to reach the destination location from the source location, (ii) determining at least one maximum flow route that includes at least one edge with an edge capacity from the at least one possible route, (iii) determining maximum traffic flow capacity for the at least one maximum flow route, (iv) determining active traffic flow routes by comparing continuously if shared or common edges of a plurality of route solutions is less than or equal to a pre-defined limit and (v) partitioning the maximum traffic flow capacity for the active traffic flow routes and permuting each partition of the maximum traffic flow capacity for the active traffic flow routes.
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