-
公开(公告)号：US20250028751A1
公开(公告)日：2025-01-23
申请号：US18355901
申请日：2023-07-20
Applicant: Adobe Inc.
Inventor： Tong Yu , Kaige Xie , Haoliang Wang , Junda Wu , Handong Zhao , Ruiyi Zhang , Kanak Vivek Mahadik , Ani Nenkova
Abstract: Dialogue skeleton assisted prompt transfer for dialogue summarization techniques are described that support training of a language model to perform dialogue summarization in a few-shot scenario. A processing device, for instance, receives a training dataset that includes training dialogues. The processing device then generates dialogue skeletons based on the training dialogues using one or more perturbation-based probes. The processing device trains a language model using prompt transfer between a source task, e.g., dialogue state tracking, and a target task, e.g., dialogue summarization, using the dialogue skeletons as supervision. The processing device then receives an input dialogue and uses the trained language model to generate a summary of the input dialogue.
-
公开(公告)号：US20230213641A1
公开(公告)日：2023-07-06
申请号：US18182151
申请日：2023-03-10
Applicant: Adobe Inc.
Inventor： Jennifer Anne Healey , Haoliang Wang , Ding Zhang
CPC classification number: G01S13/726 , G01S13/589 , G06T7/277 , G06T2207/10028 , G06T2207/30241
Abstract: In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.
-
3.发明授权公开(公告)号：US11170389B2
公开(公告)日：2021-11-09
申请号：US16796169
申请日：2020-02-20
Applicant: Adobe Inc.
Inventor： Haoliang Wang , Viswanathan Swaminathan , Stefano Petrangeli , Ran Xu
IPC: G06Q30/02 , G11B27/031
Abstract: Techniques are disclosed for improving media content effectiveness. A methodology implementing the techniques according to an embodiment includes generating an intermediate representation (IR) of provided media content, the IR specifying editable elements of the content and maintaining a result of cumulative edits to those elements. The method also includes editing the elements of the IR to generate a set of candidate IR variations. The method further includes creating a set of candidate media contents based on the candidate IR variations, evaluating the candidate media contents to generate effectiveness scores, and pruning the set of candidate IR variations to retain a threshold number of the candidate IR variations as surviving IR variations associated with the highest effectiveness scores. The process iterates until either an effectiveness score exceeds a threshold value, the incremental improvement at each iteration falls below a desired value, or a maximum number of iterations have been performed.
-
公开(公告)号：US20240427998A1
公开(公告)日：2024-12-26
申请号：US18339694
申请日：2023-06-22
Applicant: Adobe Inc.
Inventor： Haoliang Wang , Tong Yu , Sungchul Kim , Ruiyi Zhang , Paiheng Xu , Junda Wu , Handong Zhao , Ani Nenkova
Abstract: Contextual query generation techniques are described that enable generation of a contextual query for output to a question-answering (QA) model. A content processing system, for instance, configures a language model using in-context learning to generate queries based on semantic contexts of input documents, e.g., based on one or more linguistic cues from text of the input documents. The content processing system receives an input that includes a document having text and a reference query. The content processing system leverages the language model to generate a contextual query based on a semantic context of the text of the document and the reference query. The content processing system then outputs the contextual query and the document to a QA model. Using the QA model, the content processing system generates a response as an answer to the contextual query based on the contextual query and the document.
-
公开(公告)号：US11967049B2
公开(公告)日：2024-04-23
申请号：US17531640
申请日：2021-11-19
Applicant: Adobe Inc.
Inventor： Stefano Petrangeli , Viswanathan Swaminathan , Haoliang Wang , YoungJoong Kwon
CPC classification number: G06T5/005 , G06N3/045 , G06V10/7553
Abstract: The present disclosure describes multi-stage image editing techniques to improve detail and accuracy in edited images. An input image including a target region to be edited and an edit parameter specifying a modification to the target region are received. A parsing map of the input image is generated. A latent representation of the parsing map is generated. An edit is applied to the latent representation of the parsing map based on the edit parameter. The edited latent representation is input to a neural network to generate a modified parsing map including the target region with a shape change according to the edit parameter. Based on the input image and the modified parsing map, a masked image corresponding to the shape change is generated. Based on the masked image, a neural network is used to generate an edited image with the modification to the target region.
-
Patent Agency Ranking
公开(公告)号：US11425368B1
公开(公告)日：2022-08-23
申请号：US17177592
申请日：2021-02-17
Applicant: Adobe Inc.
Inventor： Stefano Petrangeli , Viswanathan Swaminathan , Haoliang Wang
IPC: H04N19/105 , H04N19/182 , H04N19/91 , H04N19/176
Abstract: Embodiments are disclosed for lossless image compression using block-based prediction and context adaptive entropy coding. A method of lossless image compression using block-based prediction and context adaptive entropy coding comprises dividing an input image into a plurality of blocks, determining a pixel predictor for each block based on a block strategy, determining a plurality of residual values using the pixel predictor for each block, selecting a subset of features associated with the plurality of residual values, performing context modeling on the plurality of residual values based on the subset of features to identify a plurality of residual clusters, and entropy coding the plurality of residual clusters.
-
公开(公告)号：US20220264251A1
公开(公告)日：2022-08-18
申请号：US17176982
申请日：2021-02-16
Applicant: ADOBE INC.
Inventor： Haoliang Wang , Stefano Petrangeli , Viswanathan Swaminathan , Na Wang
IPC: H04W4/029
Abstract: A first device determines relative position data representative of a position of one or more other user devices relative to the first device. To determine relative position data between the first device and a second device, the first device determines a distance between the first device and the second device at a plurality of timestamps. Additionally, the first device determines movement data at each timestamp from one or more device sensors. The movement data at each corresponding timestamp may reflect movement of the first device and/or the second device between a prior timestamp and the corresponding timestamp. The first device computes relative position data for the second device by combining the distance measurements and movement data over the plurality of timestamps, for instance, through a process of sensor fusion. By computing the relative position data, the first device may determine a transformation that can be used to convert between a coordinate system of the second device and the coordinate system of the first device.
-
8.发明申请公开(公告)号：US20210264446A1
公开(公告)日：2021-08-26
申请号：US16796169
申请日：2020-02-20
Applicant: Adobe Inc.
Inventor： Haoliang Wang , Viswanathan Swaminathan , Stefano Petrangeli , Ran Xu
IPC: G06Q30/02 , G11B27/031
Abstract: Techniques are disclosed for improving media content effectiveness. A methodology implementing the techniques according to an embodiment includes generating an intermediate representation (IR) of provided media content, the IR specifying editable elements of the content and maintaining a result of cumulative edits to those elements. The method also includes editing the elements of the IR to generate a set of candidate IR variations. The method further includes creating a set of candidate media contents based on the candidate IR variations, evaluating the candidate media contents to generate effectiveness scores, and pruning the set of candidate IR variations to retain a threshold number of the candidate IR variations as surviving IR variations associated with the highest effectiveness scores. The process iterates until either an effectiveness score exceeds a threshold value, the incremental improvement at each iteration falls below a desired value, or a maximum number of iterations have been performed.
-
公开(公告)号：US12002246B2
公开(公告)日：2024-06-04
申请号：US17148928
申请日：2021-01-14
Applicant: Adobe Inc.
Inventor： Stefano Petrangeli , Viswanathan Swaminathan , Haoliang Wang
IPC: G06T9/40 , G06N7/01 , G06T3/40 , H04N19/13 , H04N19/169 , H04N19/186 , H04N19/96
CPC classification number: G06T9/40 , G06N7/01 , G06T3/40 , H04N19/13 , H04N19/186 , H04N19/1883 , H04N19/96
Abstract: In implementations of systems for digital image compression using context-based pixel predictor selection, a computing device implements a compression system to receive digital image data describing pixels of a digital image. The compression system groups first differences between values of the pixels and first prediction values of the pixels into context groups. A pixel predictor is determined for each of the context groups based on a compression criterion. The compression system generates second prediction values of the pixels using the determined pixel predictor for pixels corresponding to the first differences included in each of the context groups. Second differences between the values of the pixels and the second prediction values of the pixels are grouped into different context groups. The compression system compresses the digital image using entropy coding based on the different context groups.
-
公开(公告)号：US11722845B2
公开(公告)日：2023-08-08
申请号：US17176982
申请日：2021-02-16
Applicant: ADOBE INC.
Inventor： Haoliang Wang , Stefano Petrangeli , Viswanathan Swaminathan , Na Wang
CPC classification number: H04W4/029 , G06T19/006
Abstract: A first device determines relative position data representative of a position of one or more other user devices relative to the first device. To determine relative position data between the first device and a second device, the first device determines a distance between the first device and the second device at a plurality of timestamps. Additionally, the first device determines movement data at each timestamp from one or more device sensors. The movement data at each corresponding timestamp may reflect movement of the first device and/or the second device between a prior timestamp and the corresponding timestamp. The first device computes relative position data for the second device by combining the distance measurements and movement data over the plurality of timestamps, for instance, through a process of sensor fusion. By computing the relative position data, the first device may determine a transformation that can be used to convert between a coordinate system of the second device and the coordinate system of the first device.
-
-
-
-
-
-
-
-
-
Search Results
28
records
(took 0.017 seconds)
