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1.发明申请公开(公告)号：US20250103822A1
公开(公告)日：2025-03-27
申请号：US18372462
申请日：2023-09-25
Applicant: Adobe Inc.
Inventor： Niranjan Kumbi , Sreekanth Reddy , Sumit Bhatia , Milan Aggarwal , Simra Shahid , Nikitha Srikanth , Camille Girabawe , Narayanan Seshadri
IPC: G06F40/35
Abstract: System and methods for generating, validating, and augmenting question-answer pairs using generative AI are provided. An online interaction server accesses a set of digital content available at a set of designated network locations. The online interaction server further trains a pre-trained large language model (LLM) using the set of digital content to obtain a customized LLM. The online interaction server generates a set of question-answer pairs based on the set of digital content using the customized LLM and validates the set of question-answer pairs by determining if an answer in a question-answer pair is derived from the set of digital content. The online interaction server also selects a digital asset to augment an answer in a validated question-answer pair based on a semantic similarity between the validated question-answer pair and the digital asset.
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公开(公告)号：US11983946B2
公开(公告)日：2024-05-14
申请号：US17517434
申请日：2021-11-02
Applicant: Adobe Inc.
Inventor： Shripad Deshmukh , Milan Aggarwal , Mausoom Sarkar , Hiresh Gupta
IPC: G06V30/414 , G06F18/21 , G06N3/08 , G06V10/94 , G06V30/18 , G06V30/262
CPC classification number: G06V30/414 , G06F18/21 , G06N3/08 , G06V10/95 , G06V30/18 , G06V30/274
Abstract: In implementations of refining element associations for form structure extraction, a computing device implements a structure system to receive estimate data describing estimated associations of elements included in a form and a digital image depicting the form. An image patch is extracted from the digital image, and the image patch depicts a pair of elements of the elements included in the form. The structure system encodes an indication of whether the pair of elements have an association of the estimated associations. An indication is generated that the pair of elements have a particular association based at least partially on the encoded indication, bounding boxes of the pair of elements, and text depicted in the image patch.
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公开(公告)号：US11948358B2
公开(公告)日：2024-04-02
申请号：US17455126
申请日：2021-11-16
Applicant: ADOBE INC.
Inventor： Sumegh Roychowdhury , Sumedh A. Sontakke , Mausoom Sarkar , Nikaash Puri , Pinkesh Badjatiya , Milan Aggarwal
Abstract: Systems and methods for video processing are described. Embodiments of the present disclosure generate a plurality of image feature vectors corresponding to a plurality of frames of a video; generate a plurality of low-level event representation vectors based on the plurality of image feature vectors, wherein a number of the low-level event representation vectors is less than a number of the image feature vectors; generate a plurality of high-level event representation vectors based on the plurality of low-level event representation vectors, wherein a number of the high-level event representation vectors is less than the number of the low-level event representation vectors; and identify a plurality of high-level events occurring in the video based on the plurality of high-level event representation vectors.
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公开(公告)号：US12190061B2
公开(公告)日：2025-01-07
申请号：US17644856
申请日：2021-12-17
Applicant: ADOBE INC.
Inventor： Shashank Shailabh , Madhur Panwar , Milan Aggarwal , Pinkesh Badjatiya , Simra Shahid , Nikaash Puri , S Sejal Naidu , Sharat Chandra Racha , Balaji Krishnamurthy , Ganesh Karbhari Palwe
IPC: G06F40/289 , G06F40/30 , G06F40/40
Abstract: Systems and methods for topic modeling are described. The systems and methods include encoding words of a document using an embedding matrix to obtain word embeddings for the document. The words of the document comprise a subset of words in a vocabulary, and the embedding matrix is trained as part of a topic attention network based on a plurality of topics. The systems and methods further include encoding a topic-word distribution matrix using the embedding matrix to obtain a topic embedding matrix. The topic-word distribution matrix represents relationships between the plurality of topics and the words of the vocabulary. The systems and methods further include computing a topic context matrix based on the topic embedding matrix and the word embeddings and identifying a topic for the document based on the topic context matrix.
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公开(公告)号：US20240362941A1
公开(公告)日：2024-10-31
申请号：US18140143
申请日：2023-04-27
Applicant: Adobe Inc.
Inventor： Silky Singh , Surgan Jandial , Shripad Vilasrao Deshmukh , Milan Aggarwal , Mausoom Sarkar , Balaji Krishnamurthy , Arneh Jain , Abhinav Java
IPC: G06V30/262 , G06V30/14 , G06V30/19 , G06V30/414
CPC classification number: G06V30/274 , G06V30/1444 , G06V30/19147 , G06V30/414
Abstract: A corrective noise system receives an electronic version of a fillable form generated by a segmentation network and receives a correction to a segmentation error in the electronic version of the fillable form. The corrective noise system is trained to generate noise that represents the correction and superimpose the noise on the fillable form. The corrective noise system is further trained to identify regions in a corpus of forms that are semantically similar to a region that was subject to the correction. The generated noise is propagated to the semantically similar regions in the corpus of forms and the noisy corpus of forms is provided as input to the segmentation network. The noise causes the segmentation network to accurately identify fillable regions in the corpus of forms and output a segmented version of the corpus of forms having improved fidelity without retraining or otherwise modifying the segmentation network.
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Patent Agency Ranking
公开(公告)号：US20240355020A1
公开(公告)日：2024-10-24
申请号：US18304534
申请日：2023-04-21
Applicant: Adobe Inc.
Inventor： Yaman Kumar , Somesh Singh , Seoyoung Park , Pranjal Prasoon , Nithyakala Sainath , Nisarg Shailesh Joshi , Nikitha Srikanth , Nikaash Puri , Milan Aggarwal , Jayakumar Subramanian , Ganesh Palwe , Balaji Krishnamurthy , Matthew William Rozen , Mihir Naware , Hyman Chung
Abstract: In implementations of systems for digital content analysis, a computing device implements an analysis system to extract a first content component and a second content component from digital content to be analyzed based on content metrics. The analysis system generates first embeddings using a first machine learning model and second embedding using a second machine learning model. The first embeddings and the second embeddings are combined as concatenated embeddings. The analysis system generates an indication of a content metric for display in a user interface using a third machine learning model based on the concatenated embeddings.
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公开(公告)号：US20240330351A1
公开(公告)日：2024-10-03
申请号：US18190686
申请日：2023-03-27
Applicant: Adobe Inc.
Inventor： Abhinav Java , Surgan Jandial , Shripad Vilasrao Deshmukh , Milan Aggarwal , Mausoom Sarkar , Balaji Krishnamurthy , Arneh Jain
IPC: G06F16/383 , G06F16/332 , G06V30/19 , G06V30/412
CPC classification number: G06F16/383 , G06F16/332 , G06V30/19147 , G06V30/412
Abstract: Form structure similarity detection techniques are described. A content processing system, for instance, receives a query snippet that depicts a query form structure. The content processing system generates a query layout string that includes semantic indicators to represent the query form structure and generates candidate layout strings that represent form structures from a target document. The content processing system calculates similarity scores between the query layout string and the candidate layout strings. Based on the similarity scores, the content processing system generates a target snippet for display that depicts a form structure that is structurally similar to the query form structure. The content processing system is further operable to generate a training dataset that includes image pairs of snippets depicting form structures that are structurally similar. The content processing system utilizes the training dataset to train a machine learning model to perform form structure similarity matching.
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公开(公告)号：US20220245141A1
公开(公告)日：2022-08-04
申请号：US17656772
申请日：2022-03-28
Applicant: Adobe Inc.
Inventor： Milan Aggarwal , Balaji Krishnamurthy
IPC: G06F16/242 , G06N20/00 , G06F16/248
Abstract: An interactive search session is implemented using an artificial intelligence model. For example, when the artificial intelligence model receives a search query from a user, the model selects an action from a plurality of actions based on the search query. The selected action queries the user for more contextual cues about the search query (e.g., may enquire about use of the search results, may request to refine the search query, or otherwise engage the user in conversation to better understand the intent of the search). The interactive search session may be in the form, for example, of a chat session between the user and the system, and the chat session may be displayed along with the search results (e.g., in a separate section of display). The interactive search session may enable the system to better understand the user's search needs, and accordingly may help provide more focused search results.
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公开(公告)号：US11294891B2
公开(公告)日：2022-04-05
申请号：US16394853
申请日：2019-04-25
Applicant: Adobe Inc.
Inventor： Milan Aggarwal , Balaji Krishnamurthy
IPC: G06F16/332 , G06F16/242 , G06N20/00 , H04L51/02 , G06F40/205
Abstract: Techniques are disclosed for providing an interactive search session. The interactive search session is implemented using an artificial intelligence model. For example, when the artificial intelligence model receives a search query from a user, the model selects an action from a plurality of actions based on the search query. The selected action queries the user for more contextual cues about the search query (e.g., may enquire about use of the search results, may request to refine the search query, or otherwise engage the user in conversation to better understand the intent of the search). The interactive search session may be in the form, for example, of a chat session between the user and the system, and the chat session may be displayed along with the search results (e.g., in a separate section of display). The interactive search session may enable the system to better understand the user's search needs, and accordingly may help provide more focused search results.
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公开(公告)号：US20200341976A1
公开(公告)日：2020-10-29
申请号：US16394853
申请日：2019-04-25
Applicant: Adobe Inc.
Inventor： Milan Aggarwal , Balaji Krishnamurthy
IPC: G06F16/242 , H04L12/58 , G06N20/00
Abstract: Techniques are disclosed for providing an interactive search session. The interactive search session is implemented using an artificial intelligence model. For example, when the artificial intelligence model receives a search query from a user, the model selects an action from a plurality of actions based on the search query. The selected action queries the user for more contextual cues about the search query (e.g., may enquire about use of the search results, may request to refine the search query, or otherwise engage the user in conversation to better understand the intent of the search). The interactive search session may be in the form, for example, of a chat session between the user and the system, and the chat session may be displayed along with the search results (e.g., in a separate section of display). The interactive search session may enable the system to better understand the user's search needs, and accordingly may help provide more focused search results.
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