公开(公告)号：US12086840B2

公开(公告)日：2024-09-10

申请号：US18055273

申请日：2022-11-14

Applicant: eBay Inc.

Inventor： Shuai Zheng ,  Mohammadhadi Kiapour ,  Nandini Ramakrishnan ,  Christophe Boudet ,  Fred Aye Zaw, Jr.

IPC: G06Q30/00 ,  G06F40/186 ,  G06N20/00 ,  G06Q30/0241 ,  G06F3/04842

CPC classification number: G06Q30/0276 ,  G06F40/186 ,  G06N20/00 ,  G06Q30/0277 ,  G06F3/04842

Abstract: A machine is configured to generate in real time personalized online banner images for users based on data pertaining to user behavior in relation to an image of a product. For example, the machine receives a user selection indicating one or more data features associated with the user. The one or more data features include a data feature pertaining to user behavior in relation to an image of a product. The machine generates, using a machine learning algorithm, a data representation of the machine learning algorithm based on the one or more data features including the data feature pertaining to user behavior in relation to the image of the product. The data representation includes one or more data features pertaining to one or more characteristics of online banner images. The machine generates an online banner image for the user based on the data representation.

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：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.

公开(公告)号：US11126849B2

公开(公告)日：2021-09-21

申请号：US16673638

申请日：2019-11-04

Applicant: eBay Inc.

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

IPC: G06K9/00 ,  H04N5/232 ,  G06T11/60 ,  H04N7/18 ,  G06Q30/08 ,  G06Q30/06 ,  G06K9/66 ,  G06N20/00 ,  G06K9/62 ,  G06K9/78 ,  G06T7/60 ,  G06F3/0484

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：US20210166086A1

公开(公告)日：2021-06-03

申请号：US17091851

申请日：2020-11-06

Applicant: eBay Inc.

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

IPC: G06K9/62 ,  G06F16/50 ,  G06K9/46 ,  G06F16/532 ,  G06F16/583 ,  G06N3/04 ,  G06N3/08 ,  G06N5/02

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：US10949667B2

公开(公告)日：2021-03-16

申请号：US15858463

申请日：2017-12-29

Applicant: eBay Inc.

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

IPC: G06K9/00 ,  H04N5/232 ,  G06T11/60 ,  H04N7/18 ,  G06Q30/08 ,  G06Q30/06 ,  G06K9/66 ,  G06N20/00 ,  G06K9/62 ,  G06K9/78 ,  G06T7/60 ,  G06F3/0484

Abstract: Camera platform and object inventory control techniques are described. In an implementation a live feed of digital images is output in a user interface by a computing device. A user selection is received through interaction with the user interface of at least one of the digital images. An object, included within the at least one digital image, is recognized using machine learning. Metadata is then obtained that pertains to the recognized object. Augmented reality digital content is generated based at least in part of the obtained metadata. The augmented reality digital content is displayed as part of the live feed of digital images as associated with the object.

公开(公告)号：US20190244271A1

公开(公告)日：2019-08-08

申请号：US16388473

申请日：2019-04-18

Applicant: eBay Inc.

Inventor： Robinson Piramuthu ,  Timothy Samuel Keefer ,  Kenneth Clark Crookston ,  Ashmeet Singh Rekhi ,  Niaz Ahamed Khaja Nazimudeen ,  Padmapriya Gudipati ,  Shane Lin ,  John F. Weigel ,  Fujun Zhong ,  Suchitra Ramesh ,  Mohammadhadi Kiapour ,  Shuai Zheng ,  Alberto Ordonez Pereira ,  Ravindra Surya Lanka ,  Md Atiq ul Islam ,  Nicholas Anthony Whyte ,  Giridharan Iyengar ,  Bryan Allen Plummer

IPC: G06Q30/06 ,  G06K9/62

CPC classification number: G06F16/532 ,  G06F3/017 ,  G06F3/0482 ,  G06F3/04842 ,  G06F3/0488 ,  G06F16/3326 ,  G06F16/538 ,  G06F16/583 ,  G06F16/9032 ,  G06F16/9035 ,  G06F16/907 ,  G06F16/908 ,  G06F16/9535 ,  G06K9/00671 ,  G06K9/6202 ,  G06K9/66 ,  G06N20/00 ,  G06Q30/0621 ,  G06Q30/0627 ,  G06Q30/0631 ,  G06Q30/0643

Abstract: Computer vision and image characteristic search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and comparing the determined characteristics to visual characteristics of other images, e.g., to identify similar visual characteristics in the other images. In some aspects, the described system performs searches that leverage a digital image as part of a search query to locate digital content of interest. In some aspects, the described system surfaces multiple user interface instrumentalities that include images of patterns, textures, or materials and that are selectable to initiate a visual search of digital content having a similar pattern, texture, or material. The described aspects also include pattern-based authentication in which the system determines authenticity of an item in an image based on a similarity of its visual characteristics to visual characteristics of known authentic items.

公开(公告)号：US20190205646A1

公开(公告)日：2019-07-04

申请号：US16235007

申请日：2018-12-28

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: G06K9/00 ,  G06N20/00 ,  G06F3/01 ,  G06F16/583

CPC classification number: G06F16/532 ,  G06F3/017 ,  G06F3/0482 ,  G06F16/3326 ,  G06F16/538 ,  G06F16/583 ,  G06F16/9032 ,  G06F16/9035 ,  G06F16/907 ,  G06F16/908 ,  G06F16/9535 ,  G06K9/00671 ,  G06K9/66 ,  G06N20/00

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：US11869057B2

公开(公告)日：2024-01-09

申请号：US17539558

申请日：2021-12-01

Applicant: eBay Inc.

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

IPC: G06V10/25 ,  G06Q30/0601 ,  G06F16/532 ,  G06F16/583 ,  G06F16/9535 ,  G06V40/10 ,  G06F18/214 ,  G06F18/2413 ,  G06V10/764 ,  G06V10/82 ,  G06V10/44

CPC classification number: G06Q30/0625 ,  G06F16/532 ,  G06F16/5838 ,  G06F16/9535 ,  G06F18/214 ,  G06F18/2413 ,  G06Q30/0631 ,  G06Q30/0643 ,  G06V10/25 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06V40/103

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.