公开(公告)号：US20240095807A1

公开(公告)日：2024-03-21

申请号：US18521798

申请日：2023-11-28

Applicant: eBay Inc.

Inventor： Anurag Bhardwaj ,  Neelakantan Sundaresan ,  Robinson Piramuthu

IPC: G06Q30/0601

CPC classification number: G06Q30/0631

Abstract: Apparatus and method for providing contextual recommendations based on user state are disclosed herein. In some embodiments, sensor data corresponding to at least one sensor included in an item worn by a user is received. A user state is determined based on the received sensor data. In response to a state change being satisfied by at least the user state, a recommendation is determined based on the user state and a profile associated with the user. The recommendation may be presented on an electronic mobile device associated with the user.

公开(公告)号：US11893611B2

公开(公告)日：2024-02-06

申请号：US16058259

申请日：2018-08-08

Applicant: eBay Inc.

Inventor： Braddock Gaskill ,  Robinson Piramuthu

IPC: G06K9/00 ,  G06K9/34 ,  G06K9/32 ,  G06K9/46 ,  G06K9/48 ,  G06Q30/06 ,  G06Q30/0601 ,  G06V30/413 ,  G06V20/62 ,  G06V30/148 ,  G06V30/18 ,  G06V30/412 ,  G06V30/10

CPC classification number: G06Q30/0601 ,  G06V20/62 ,  G06V30/155 ,  G06V30/18105 ,  G06V30/412 ,  G06V30/413 ,  G06V20/625 ,  G06V30/10 ,  G06V2201/13

Abstract: Vehicles and other items often have corresponding documentation, such as registration cards, that includes a significant amount of informative textual information that can be used in identifying the item. Traditional OCR may be unsuccessful when dealing with non-cooperative images. Accordingly, features such as dewarping, text alignment, and line identification and removal may aid in OCR of non-cooperative images. Dewarping involves determining curvature of a document depicted in an image and processing the image to dewarp the image of the document to make it more accurately conform to the ideal of a cooperative image. Text alignment involves determining an actual alignment of depicted text, even when the depicted text is not aligned with depicted visual cues. Line identification and removal involves identifying portions of the image that depict lines and removing those lines prior to OCR processing of the image.

公开(公告)号：US20230316575A1

公开(公告)日：2023-10-05

申请号：US18195751

申请日：2023-05-10

Applicant: eBay Inc.

Inventor： Anurag Bhardwaj ,  Robinson Piramuthu ,  Neelakantan Sundaresan

IPC: G06T7/90 ,  G06F16/532 ,  G06F16/583 ,  G06F16/58 ,  G06F16/9535 ,  G06F16/2457 ,  G06T7/41 ,  G06V10/50 ,  G06V10/56 ,  G06F18/21 ,  G06F18/22 ,  G06Q30/0601 ,  G06T7/13

CPC classification number: G06T7/90 ,  G06F16/24578 ,  G06F16/532 ,  G06F16/583 ,  G06F16/5838 ,  G06F16/5866 ,  G06F16/9535 ,  G06F18/21 ,  G06F18/22 ,  G06Q30/0629 ,  G06Q30/0631 ,  G06Q30/0643 ,  G06T7/13 ,  G06T7/41 ,  G06V10/50 ,  G06V10/507 ,  G06V10/56 ,  G06T2207/10024

Abstract: An apparatus and method to adjust item recommendations are disclosed herein. A first image attribute of a query image is compared to a second image attribute of each of a plurality of inventory images of a plurality of inventory items to identify the inventory items similar to the query image. Item recommendations comprising the identified inventory items in a first listing order are provided for display at a remote device. A second listing order of the identified inventory items is determined based on a user preference for a particular one of the identified inventory items. At least the second listing order is provided to the remote device for re-display of the item recommendations in accordance with the second listing order.

公开(公告)号：US20230290171A1

公开(公告)日：2023-09-14

申请号：US18200460

申请日：2023-05-22

Applicant: eBay Inc.

Inventor： Mohammadhadi Kiapour ,  Ajinkya Gorakhnath Kale ,  Robinson Piramuthu ,  Licheng Yu

IPC: G06V30/40 ,  G06F16/583 ,  G06F16/16 ,  G06V10/82 ,  G06V10/94 ,  G06N3/045

CPC classification number: G06V30/43 ,  G06F16/5838 ,  G06F16/164 ,  G06F16/583 ,  G06V10/82 ,  G06V10/95 ,  G06N3/045 ,  H04L67/02

Abstract: Example embodiments that analyze images to characterize aspects of the images rely on a same neural network to characterize multiple aspects in parallel. Because additional neural networks are not required for additional aspects, such an approach scales with increased aspects.

公开(公告)号：US11636524B2

公开(公告)日：2023-04-25

申请号：US17141618

申请日：2021-01-05

Applicant: eBay Inc.

Inventor： Robinson Piramuthu ,  Timothy Samuel Keefer ,  Ashmeet Singh Rekhi ,  Padmapriya Gudipati ,  Mohammadhadi Kiapour ,  Shuai Zheng ,  Md Atiq ul Islam ,  Nicholas Anthony Whyte ,  Giridharan Iyengar

IPC: G06Q30/0601 ,  G06V20/20 ,  G06F3/01 ,  G06F3/0482 ,  G06F16/583 ,  G06N20/00 ,  G06F16/538 ,  G06F16/9535 ,  G06F16/532 ,  G06F3/04842 ,  G06F3/0488

Abstract: Techniques and systems are described that leverage computer vision as part of search to expand functionality of a computing device available to a user and increase operational computational efficiency as well as efficiency in user interaction. In a first example, user interaction with items of digital content is monitored. Computer vision techniques are used to identify digital images in the digital content, objects within the digital images, and characteristics of those objects. This information is used to assign a user to a user segment of a user population which is then used to control output of subsequent digital content to the user, e.g., recommendations, digital marketing content, and so forth.

公开(公告)号：US11599929B2

公开(公告)日：2023-03-07

申请号：US17102194

申请日：2020-11-23

Applicant: eBay Inc.

Inventor： Wei Di ,  Vignesh Jagadeesh ,  Robinson Piramuthu ,  Elizabeth Churchill ,  Anurag Bhardwaj

IPC: G06Q30/00 ,  G06Q30/0601 ,  G06V40/10

Abstract: A machine is configured to determine fashion preferences of users and to provide item recommendations based on the fashion preferences. For example, the machine accesses an indication of a fashion style of a user. The fashion style is determined based on automatically captured data pertaining to the user. The machine identifies, based on the fashion style, one or more fashion items from an inventory of fashion items. The machine generates one or more selectable user interface elements for inclusion in a user interface. The one or more user interface elements correspond to the one or more fashion items. The machine causes generation and display of the user interface that includes the one or more selectable user interface elements. A selection of a selectable user interface element results in display of a combination of an image of a particular fashion item and an image of an item worn by the user.

公开(公告)号：US20220375193A1

公开(公告)日：2022-11-24

申请号：US17867281

申请日：2022-07-18

Applicant: eBay Inc.

Inventor： Mahyar Najibikohnehshahri ,  Fan Yang ,  Qiaosong Wang ,  Robinson Piramuthu

IPC: G06V10/46 ,  G06T7/194 ,  G06K9/62 ,  G06T7/11 ,  G06N3/04 ,  G06F16/00 ,  G06N3/08 ,  G06V20/10

Abstract: Methods, systems, and computer programs are presented for adding new features to a network service. An example method includes accessing an image from a user device to determine a salient object count of a plurality of objects in the image. A salient object count of the plurality of objects in the image is determined. An indicator of the salient object count of the plurality of objects in the image is caused to be displayed on the user device.

公开(公告)号：US11494823B2

公开(公告)日：2022-11-08

申请号：US17154520

申请日：2021-01-21

Applicant: eBay Inc.

Inventor： Neelakantan Sundaresan ,  Anurag Bhardwaj ,  Robinson Piramuthu

IPC: G06Q30/00 ,  G06Q30/06 ,  G06F3/01

Abstract: Electronic content that has a tactile dimension when presented on a tactile-enabled computing device may be referred to as tactile-enabled content. A tactile-enabled device is a device that is capable of presenting tactile-enabled content in a manner that permits a user to experience tactile quality of electronic content. In one example embodiment, a system is provided for generating content that has a tactile dimension when presented on a tactile-enabled device.

公开(公告)号：US20220245406A1

公开(公告)日：2022-08-04

申请号：US17727100

申请日：2022-04-22

Applicant: eBay Inc.

Inventor： Kevin Lin ,  Fan Yang ,  Qiaosong Wang ,  Robinson Piramuthu

IPC: G06K9/62 ,  G06F16/583 ,  G06F16/51 ,  G06F16/532 ,  G06F16/56 ,  G06N3/08 ,  G06V10/32

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for using adversarial learning for fine-grained image search. An image search system receives a search query that includes an input image depicting an object. The search system generates, using a generator, a vector representation of the object in a normalized view. The generator was trained based on a set of reference images of known objects in multiple views, and feedback data received from an evaluator that indicates performance of the generator at generating vector representations of the known objects in the normalized view. The evaluator including a discriminator sub-module, a normalizer sub-module, and a semantic embedding sub-module that generate the feedback data. The image search system identifies, based on the vector representation of the object, a set of other images depicting the object, and returns at least one of the other images in response to the search query.

公开(公告)号：US20220092367A1

公开(公告)日：2022-03-24

申请号：US17539558

申请日：2021-12-01

Applicant: eBay Inc.

Inventor： Mohammadhadi Kiapour ,  Shuai Zheng ,  Robinson Piramuthu ,  Omid Poursaeed

IPC: G06K9/66 ,  G06K9/62 ,  G06K9/32 ,  G06K9/00 ,  G06Q30/06 ,  G06F16/532 ,  G06F16/583 ,  G06F16/9535 ,  G06K9/36

Abstract: Various embodiments described herein utilize multiple levels of generative adversarial networks (GANs) to facilitate generation of digital images based on user-provided images. Some embodiments comprise a first generative adversarial network (GAN) and a second GAN coupled to the first GAN, where the first GAN includes an image generator and at least two discriminators, and the second GAN includes an image generator and at least one discriminator. According to some embodiments, the (first) image generator of the first GAN is trained by processing a user-provided image using the first GAN. For some embodiments, the user-provided image and the first generated image, generated by processing the user-provided image using the first GAN, are combined to produce a combined image. For some embodiments, the (second) image generator of the second GAN is trained by processing the combined image using the second GAN.