公开(公告)号：US11635507B2

公开(公告)日：2023-04-25

申请号：US17190711

申请日：2021-03-03

Applicant: Adobe Inc.

Inventor： Jennifer Anne Healey ,  Haoliang Wang ,  Ding Zhang

IPC: G01S13/58 ,  G01S7/20 ,  G01S7/35

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.

公开(公告)号：US20210304706A1

公开(公告)日：2021-09-30

申请号：US16834776

申请日：2020-03-30

Applicant: Adobe Inc.

Inventor： Stefano Petrangeli ,  Viswanathan Swaminathan ,  Na Wang ,  Haoliang Wang ,  Gwendal Simon

IPC: G09G5/36 ,  G06F16/487 ,  G06F16/44

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that iteratively select versions of augmented reality objects at augmented reality levels of detail to provide for download to a client device to reduce start-up latency associated with providing a requested augmented reality scene. In particular, in one or more embodiments, the disclosed systems determine utility and priority metrics associated with versions of augmented reality objects associated with a requested augmented reality scene. The disclosed systems utilize the determined metrics to select versions of augmented reality objects that are likely to be viewed by the client device and improve the quality of the augmented reality scene as the client device moves through the augmented reality scene. In at least one embodiment, the disclosed systems iteratively select versions of augmented reality objects at various levels of detail until the augmented reality scene is fully downloaded.

公开(公告)号：US20250005289A1

公开(公告)日：2025-01-02

申请号：US18343389

申请日：2023-06-28

Applicant: Adobe Inc.

Inventor： Haoliang Wang ,  Kaige Xie ,  Tong Yu ,  Junda Wu ,  Handong Zhao ,  Ruiyi Zhang ,  Kanak Vivek Mahadik ,  Ani Nenkova

IPC: G06F40/35 ,  G06F16/34 ,  G06F16/35

Abstract: Dialogue state aware dialogue summarization techniques are described that enable generation of dialogue summaries from target domains with limited training data. A content processing system, for instance, generates one or more clusters based on training dialogues from one or more source domains. The clusters represent domain-specific features of the training dialogues and are further based on dialogue states of the training dialogues. The content processing system trains a machine learning model to generate summaries of dialogues by using the one or more clusters as prefixes in a prefix-tuning approach. The content processing system receives an input that includes a dialogue from a target domain. The content processing system generates an input prompt based on the dialogue and the one or more clusters, and the model generates a summary of the dialogue based on the input prompt.

公开(公告)号：US12051175B2

公开(公告)日：2024-07-30

申请号：US17097600

申请日：2020-11-13

Applicant: ADOBE INC.

Inventor： Stefano Petrangeli ,  Viswanathan Swaminathan ,  Haoliang Wang ,  YoungJoong Kwon

IPC: G06N3/08 ,  G06N3/045 ,  G06T3/604 ,  G06T3/606

CPC classification number: G06T3/604 ,  G06N3/045 ,  G06N3/08 ,  G06T3/606 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Methods, system, and computer storage media are provided for novel view synthesis. An input image depicting an object is received and utilized to generate, via a neural network, a target view image. In exemplary aspects, additional view images are also generated within the same pass of the neural network. A loss is determined based on the target view image and additional view images and is used to modify the neural network to reduce errors. In some aspects, a rotated view image is generated by warping a ground truth image from an initial angle to a rotated view angle that matches a view angle of an image synthesized via the neural network, such as a target view image. The rotated view image and the synthesized image matching the rotated view angle (e.g., a target view image) are utilized to compute a rotational loss.

公开(公告)号：US12010296B2

公开(公告)日：2024-06-11

申请号：US17891057

申请日：2022-08-18

Applicant: Adobe Inc.

Inventor： Stefano Petrangeli ,  Viswanathan Swaminathan ,  Haoliang Wang

IPC: H04N19/105 ,  H04N19/176 ,  H04N19/182 ,  H04N19/91

CPC classification number: H04N19/105 ,  H04N19/176 ,  H04N19/182 ,  H04N19/91

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：US11561750B2

公开(公告)日：2023-01-24

申请号：US17091335

申请日：2020-11-06

Applicant: Adobe Inc.

Inventor： Jennifer Healey ,  Haoliang Wang ,  Georgios Theocharous

IPC: G06Q30/00 ,  G06F3/14 ,  G06Q30/06 ,  G06Q10/08 ,  G06K7/10 ,  G06K19/07 ,  G06Q30/02 ,  G06F16/54 ,  G06F16/535 ,  G01C21/20 ,  G06F40/279 ,  G06Q20/20

Abstract: This disclosure describes embodiments of methods, systems, and non-transitory-computer readable media that personalize visual content for display on digital signage near a projected location of a person by mapping visual content to physical items selected by the person. In some examples, the disclosed system identifies physical items selected by a person based on signals from the physical items, such as signals emitted by RFID tags affixed to (or other devices associated with) the physical items. The disclosed system analyzes the collection of physical items—as identified by the signals—to tailor digital signage content specific to the person. The disclosed system further tracks the location of the person as the person moves through a physical space and interacts with the physical items. Based on the tracked positions, the disclosed system determines a digital sign in proximity to a predicted location of the person to display the personalized visual content.

公开(公告)号：US20220222866A1

公开(公告)日：2022-07-14

申请号：US17148928

申请日：2021-01-14

Applicant: Adobe Inc.

Inventor： Stefano Petrangeli ,  Viswanathan Swaminathan ,  Haoliang Wang

IPC: G06T9/40 ,  G06T3/40 ,  H04N19/96 ,  H04N19/13 ,  H04N19/186 ,  H04N19/169 ,  G06N7/00

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：US20220156886A1

公开(公告)日：2022-05-19

申请号：US17097600

申请日：2020-11-13

Applicant: ADOBE INC.

Inventor： Stefano Petrangeli ,  Viswanathan Swaminathan ,  Haoliang Wang ,  YoungJoong Kwon

IPC: G06T3/60 ,  G06N3/08 ,  G06N3/04

Abstract: Methods, system, and computer storage media are provided for novel view synthesis. An input image depicting an object is received and utilized to generate, via a neural network, a target view image. In exemplary aspects, additional view images are also generated within the same pass of the neural network. A loss is determined based on the target view image and additional view images and is used to modify the neural network to reduce errors. In some aspects, a rotated view image is generated by warping a ground truth image from an initial angle to a rotated view angle that matches a view angle of an image synthesized via the neural network, such as a target view image. The rotated view image and the synthesized image matching the rotated view angle (e.g., a target view image) are utilized to compute a rotational loss.

公开(公告)号：US12248056B2

公开(公告)日：2025-03-11

申请号：US18182151

申请日：2023-03-10

Applicant: Adobe Inc.

Inventor： Jennifer Anne Healey ,  Haoliang Wang ,  Ding Zhang

IPC: G01S13/58 ,  G01S7/20 ,  G01S13/72 ,  G06T7/277 ,  G01S7/35

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.

公开(公告)号：US20250061609A1

公开(公告)日：2025-02-20

申请号：US18451201

申请日：2023-08-17

Applicant: ADOBE INC.

Inventor： Junda Wu ,  Haoliang Wang ,  Tong Yu ,  Stefano Petrangeli ,  Gang Wu ,  Viswanathan Swaminathan ,  Sungchul Kim ,  Handong Zhao

IPC: G06T9/40 ,  G06V10/70 ,  G06V10/75

Abstract: One or more aspects of the method, apparatus, and non-transitory computer readable medium include obtaining image data and computing a prediction residue value for a pixel of the image data using a prediction function. An entropy value for the pixel can then be determined based on the prediction residue value using context modeling, and progressive compressed image data for the image data can be generated based on the entropy value. The compressed image data can be used to enable collaborative image editing and other image processing tasks.