公开(公告)号：US12198420B2

公开(公告)日：2025-01-14

申请号：US17727100

申请日：2022-04-22

Applicant: eBay Inc.

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

IPC: G06N3/088 ,  G06F16/51 ,  G06F16/532 ,  G06F16/56 ,  G06F16/583 ,  G06F18/21 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2411 ,  G06V10/44 ,  G06V10/82 ,  G06V20/00

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：US12131342B2

公开(公告)日：2024-10-29

申请号：US17886648

申请日：2022-08-12

Applicant: eBay Inc.

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

IPC: G06K9/00 ,  G06F16/58 ,  G06F16/583 ,  G06F16/60 ,  G06F16/63 ,  G06F18/24 ,  G06F18/2415 ,  G06Q30/0201 ,  G06Q30/0601 ,  G06V30/192 ,  G06V30/198

CPC classification number: G06Q30/0201 ,  G06F16/58 ,  G06F16/5854 ,  G06F16/60 ,  G06F16/63 ,  G06F18/24 ,  G06F18/2415 ,  G06Q30/0601 ,  G06Q30/0613 ,  G06V30/192 ,  G06V30/198

Abstract: A machine may be configured to perform image evaluation of images depicting items for sale and to provide recommendations for improving the images depicting the items to increase the sales of the items depicted in the images. For example, the machine accesses a result of a user behavior analysis. The machine receives an image of an item from a user device. The machine performs an image evaluation of the received image based on an analysis of the received image and the result of the user behavior analysis. The performing of the image evaluation may include determining a likelihood of a user engaging in a desired user behavior in relation to the received image. Then, the machine generates, based on the evaluation of the received image, an output that references the received image and indicates the likelihood of a user engaging in the desired behavior.

公开(公告)号：US12081913B2

公开(公告)日：2024-09-03

申请号：US18302714

申请日：2023-04-18

Applicant: eBay Inc.

Inventor： Shuai Zheng ,  Fan Yang ,  Mohammadhadi Kiapour ,  Qiaosong Wang ,  Japjit S. Tulsi ,  Robinson Piramuthu

IPC: H04N7/18 ,  G06F18/214 ,  G06N20/00 ,  G06Q30/0601 ,  G06Q30/08 ,  G06T7/60 ,  G06T11/60 ,  G06V10/10 ,  G06V20/20 ,  G06V30/194 ,  H04N23/63 ,  G06F3/04842 ,  G06F18/2431 ,  H04N23/61

CPC classification number: H04N7/185 ,  G06F18/214 ,  G06N20/00 ,  G06Q30/0623 ,  G06Q30/08 ,  G06T7/60 ,  G06T11/60 ,  G06V10/10 ,  G06V20/20 ,  G06V30/194 ,  H04N23/63 ,  G06F3/04842 ,  G06F18/2431 ,  G06Q30/0631 ,  G06Q30/0643 ,  G06T2210/16 ,  H04N23/61 ,  H04N23/631

Abstract: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.

公开(公告)号：US11875389B2

公开(公告)日：2024-01-16

申请号：US17321698

申请日：2021-05-17

Applicant: eBay Inc.

Inventor： Andrew Chalkley ,  Robinson Piramuthu ,  Bindia Saraf ,  Qiaosong Wang

IPC: G06Q50/28 ,  G01S17/89 ,  H04N23/69 ,  H04N23/90 ,  H04N23/695 ,  G06Q30/0601 ,  B25J9/16 ,  G06T7/00 ,  G06K19/06 ,  G05D1/02 ,  G05D1/10

CPC classification number: G06Q30/0603 ,  B25J9/1656 ,  G01S17/89 ,  G06Q50/28 ,  G06T7/0002 ,  H04N23/69 ,  H04N23/695 ,  H04N23/90 ,  G05D1/0276 ,  G05D1/101 ,  G06K19/06028 ,  G06T2207/10048

Abstract: The disclosed technologies include a robotic selling assistant that receives an item from a seller, automatically generates a posting describing the item for sale, stores the item until it is sold, and delivers or sends the item out for delivery. The item is placed in a compartment that uses one or more sensors to identify the item, retrieve supplemental information about the item, and take pictures of the item for inclusion in the posting. A seller-supplied description of the item may be verified based on the retrieved supplemental information, preventing mislabeled items from being sold.

公开(公告)号：US20240004920A1

公开(公告)日：2024-01-04

申请号：US18228328

申请日：2023-07-31

Applicant: eBay Inc.

Inventor： Fan Yang ,  Ajinkya Gorakhnath Kale ,  Qiaosong Wang ,  Mohammadhadi Kiapour ,  Robinson Piramuthu

IPC: G06F16/532 ,  G06F16/50 ,  G06F16/583 ,  G06N3/084 ,  G06V10/46 ,  G06F18/2415 ,  G06F18/2113 ,  G06F18/2411 ,  G06N3/044 ,  G06N3/045 ,  G06V10/771 ,  G06N5/022

CPC classification number: G06F16/532 ,  G06F16/50 ,  G06F16/583 ,  G06N3/084 ,  G06V10/462 ,  G06F18/2415 ,  G06N7/01 ,  G06F18/2411 ,  G06N3/044 ,  G06N3/045 ,  G06V10/771 ,  G06N5/022 ,  G06F18/2113

Abstract: Methods, systems, and computer programs are presented for adding new features to a network service. A method includes receiving an image depicting an object of interest. A category set is determined for the object of interest and an image signature is generated for the image. Using the category set and the image signature, the method identifies a set of publications within a publication database and assigns a rank to each publication. The method causes presentation of the ranked list of publications at a computing device from which the image was received.

公开(公告)号：US20230409930A1

公开(公告)日：2023-12-21

申请号：US18459328

申请日：2023-08-31

Applicant: eBay Inc.

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

IPC: G06N5/022 ,  G06V10/44 ,  G06V20/20 ,  G06V10/82 ,  G06F18/2413 ,  G06N3/044 ,  G06N7/01 ,  G06V10/764

CPC classification number: G06N5/022 ,  G06V10/454 ,  G06V20/20 ,  G06V10/82 ,  G06F18/24143 ,  G06N3/044 ,  G06N7/01 ,  G06V10/764 ,  G06T2207/20081

Abstract: Various embodiments use a neural network to analyze images for aspects that characterize the images, to present locations of those aspects on the images, and, additionally, to permit a user to interact with those locations on the images. For example, a user may interact with a visual cue over one of those locations to modify, refine, or filter the results of a visual search, performed on a publication corpus, that uses an input image (e.g., one captured using a mobile device) as a search query.

公开(公告)号：US11836777B2

公开(公告)日：2023-12-05

申请号：US17221367

申请日：2021-04-02

Applicant: eBay Inc.

Inventor： Ajinkya Gorakhnath Kale ,  Fan Yang ,  Qiaosong Wang ,  Mohammadhadi Kiapour ,  Robinson Piramuthu

IPC: G06Q30/00 ,  G06Q30/0601 ,  G06F16/583 ,  G06F16/2452 ,  G06F16/2457 ,  G06F16/532 ,  G06N5/022 ,  G06N3/044 ,  G06N7/01 ,  G06N3/02

CPC classification number: G06Q30/0625 ,  G06F16/24522 ,  G06F16/24578 ,  G06F16/532 ,  G06F16/583 ,  G06N3/02 ,  G06N3/044 ,  G06N5/022 ,  G06N7/01

Abstract: Systems, methods, and computer program products for identifying a relevant candidate product in an electronic marketplace. Embodiments perform a visual similarity comparison between candidate product image visual content and input query image visual content, process formal and informal natural language user inputs, and coordinate aggregated past user interactions with the marketplace stored in a knowledge graph. Visually similar items and their corresponding product categories, aspects, and aspect values can determine suggested candidate products without discernible delay during a multi-turn user dialog. The user can then refine the search for the most relevant items available for purchase by providing responses to machine-generated prompts that are based on the initial search results from visual, voice, and/or text inputs. An intelligent online personal assistant can thus guide a user to the most relevant candidate product more efficiently than existing search tools.

公开(公告)号：US11727627B2

公开(公告)日：2023-08-15

申请号：US17500756

申请日：2021-10-13

Applicant: eBay Inc.

Inventor： Qiaosong Wang ,  James Thomas Dowdell ,  Jinrong Xie ,  Robinson Piramuthu

IPC: G06T15/20 ,  G06T7/90 ,  G06T17/20

CPC classification number: G06T15/205 ,  G06T7/90 ,  G06T17/20 ,  G06T2200/08 ,  G06T2207/10028

Abstract: In various example embodiments, a system and method for integration of a three-dimensional model is disclosed. In one example embodiment, a method includes receiving a plurality of images, selecting points on the images and triangulating the points to generate a plurality of depth maps, generate a three-dimensional mesh by combining the plurality of depth maps, generating a three-dimensional model of the item by projecting the plurality of images onto the mesh using the points, calibrating colors used in the model using colors diffuse properties of the colors in the images, and providing a user interface allowing a user to select one or more user points on the three-dimensional model and provide additional information associated with the selected user points.

公开(公告)号：US11704926B2

公开(公告)日：2023-07-18

申请号：US17523998

申请日：2021-11-11

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 ,  G06N7/01 ,  H04L67/02 ,  H04L67/01 ,  H04L67/10

CPC classification number: G06V30/43 ,  G06F16/164 ,  G06F16/583 ,  G06F16/5838 ,  G06N3/045 ,  G06V10/82 ,  G06V10/95 ,  G06N7/01 ,  G06T2207/20081 ,  G06T2207/20084 ,  H04L67/01 ,  H04L67/02 ,  H04L67/10

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：US11665320B2

公开(公告)日：2023-05-30

申请号：US17170549

申请日：2021-02-08

Applicant: eBay Inc.

Inventor： Shuai Zheng ,  Fan Yang ,  Mohammadhadi Kiapour ,  Qiaosong Wang ,  Japjit S. Tulsi ,  Robinson Piramuthu

IPC: G06V20/20 ,  G06T11/60 ,  H04N7/18 ,  G06Q30/08 ,  G06Q30/0601 ,  G06N20/00 ,  G06V10/10 ,  G06V30/194 ,  G06F18/214 ,  H04N23/63 ,  G06T7/60 ,  G06F18/2431 ,  H04N23/61 ,  G06F3/04842

CPC classification number: G06V20/20 ,  G06F18/214 ,  G06N20/00 ,  G06Q30/0623 ,  G06Q30/08 ,  G06T7/60 ,  G06T11/60 ,  G06V10/10 ,  G06V30/194 ,  H04N7/185 ,  H04N23/63 ,  G06F3/04842 ,  G06F18/2431 ,  G06Q30/0631 ,  G06Q30/0643 ,  G06T2210/16 ,  H04N23/61 ,  H04N23/631

Abstract: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.