公开(公告)号：US11262906B2

公开(公告)日：2022-03-01

申请号：US16539277

申请日：2019-08-13

Applicant: Amazon Technologies, Inc.

Inventor： Zohar Barzelay ,  Bojan Pepik

IPC: G06F3/0485 ,  G06F16/538 ,  G06N20/00 ,  G06F3/0482 ,  G06F3/0484 ,  G06F3/04847 ,  G06Q30/06

Abstract: Techniques for providing an in-place scrolling feature are described herein. Input via a user interface may be received to update first images of first items to second images of second items where the first images are presented in a focus location of the user interface. Feature vectors may be calculated for each image associated with the first items and the second items using a neural network algorithm. The feature vectors may include a plurality of values that represent each image of the first items and the second items. Candidate images may be determined from the second images based on a distance in a feature vector space between the feature vectors of the candidate images and the feature vectors of the second images. The user interface may be updated to transition from presenting the first images to a portion of the candidate images in the focus location of the user interface.

公开(公告)号：US20210048931A1

公开(公告)日：2021-02-18

申请号：US16539277

申请日：2019-08-13

Applicant: Amazon Technologies, Inc.

Inventor： Zohar Barzelay ,  Bojan Pepik

IPC: G06F3/0485 ,  G06F3/0482 ,  G06F3/0484 ,  G06F16/538 ,  G06N20/00

Abstract: Techniques for providing an in-place scrolling feature are described herein. Input via a user interface may be received to update first images of first items to second images of second items where the first images are presented in a focus location of the user interface. Feature vectors may be calculated for each image associated with the first items and the second items using a neural network algorithm. The feature vectors may include a plurality of values that represent each image of the first items and the second items. Candidate images may be determined from the second images based on a distance in a feature vector space between the feature vectors of the candidate images and the feature vectors of the second images. The user interface may be updated to transition from presenting the first images to a portion of the candidate images in the focus location of the user interface.

公开(公告)号：US12259948B1

公开(公告)日：2025-03-25

申请号：US16834736

申请日：2020-03-30

Applicant: Amazon Technologies, Inc.

Inventor： Nikhil Garg ,  Bojan Pepik ,  Matthieu Guillaumin

IPC: G06F18/2413 ,  G06N3/08 ,  G06N20/00 ,  G06T7/10 ,  G06T17/00

Abstract: Devices and techniques are generally described for retrieving three dimensional part models. Two-dimensional (2D) image data representing an object with at least a first part and a second part may be received. A first machine learning model may be used to generate a first shape embedding representing the first part and a second shape embedding representing the second part. A first 3D model stored in a non-transitory computer-readable memory that represents the first part may be determined based at least in part on the first shape embedding. A second 3D model stored in the non-transitory computer-readable memory that represents the second part may be determined based at least in part on the second shape embedding.