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    DETECTING CROSS-LINGUAL COMPARABLE LISTINGS
    41.
    发明申请
    DETECTING CROSS-LINGUAL COMPARABLE LISTINGS 有权

    公开(公告)号：US20230079147A1

    公开(公告)日：2023-03-16

    申请号：US18055574

    申请日：2022-11-15

    Applicant: eBay Inc.

    Inventor： Sanjika Hewavitharana ,  Evgeny Matusov ,  Robinson Piramuthu ,  Hassan Sawaf

    IPC: G06Q30/06 ,  G06F40/58 ,  G06N20/00 ,  G06F16/50

    Abstract: In various example embodiments, a system and method for a Listing Engine that translates a first listing from a first language to a second language. The first listing includes an image(s) of a first item. The Listing Engine provides as input to an encoded neural network model a portion(s) of a translated first listing and a portions(s) of a second listing in the second language. The second listing includes an image(s) of a second item. The Listing Engine receives from the encoded neural network model a first feature vector for the translated first listing and a second feature vector for the second listing. The first and the second feature vectors both include at least one type of image signature feature and at least one type of listing text-based feature. Based on a similarity score of the first and second feature vectors at least meeting a similarity score threshold, the Listing Engine generates a pairing of the first listing in the first language with the second listing in the second language for inclusion in training data of a machine translation system.

    Image evaluation
    42.
    发明授权
    Image evaluation 有权

    公开(公告)号：US11449719B2

    公开(公告)日：2022-09-20

    申请号：US16225338

    申请日：2018-12-19

    Applicant: eBay Inc.

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

    IPC: G06K9/00 ,  G06K9/62 ,  G06F16/58 ,  G06F16/583 ,  G06V10/40 ,  G06Q30/06 ,  G06Q30/02 ,  G06F16/60 ,  G06F16/63

    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.

    Generating a digital image using a generative adversarial network
    44.
    发明授权
    Generating a digital image using a generative adversarial network 有权

    公开(公告)号：US11222246B2

    公开(公告)日：2022-01-11

    申请号：US16733766

    申请日：2020-01-03

    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.

    Joint-based item recognition
    45.
    发明授权
    Joint-based item recognition 有权

    公开(公告)号：US11120478B2

    公开(公告)日：2021-09-14

    申请号：US14963026

    申请日：2015-12-08

    Applicant: eBay Inc.

    Inventor： Kota Hara ,  Vignesh Jagadeesh ,  Robinson Piramuthu

    IPC: G06Q30/02 ,  G06K9/62 ,  G06T11/60 ,  G06K9/00 ,  G06K9/72 ,  G06N20/00 ,  G06N20/10 ,  G06N3/04

    Abstract: For an input image of a person, a set of object proposals are generated in the form of bounding boxes. A pose detector identifies coordinates in the image corresponding to locations on the person's body, such as the waist, head, hands, and feet of the person. A convolutional neural network receives the portions of the input image defined by the bounding boxes and generates a feature vector for each image portion. The feature vectors are input to one or more support vector machine classifiers, which generate an output representing a probability of a match with an item. The distance between the bounding box and a joint associated with the item is used to modify the probability. The modified probabilities for the support vector machine are then compared with a threshold and each other to identify the item.

    Camera Platform and Object Inventory Control
    47.
    发明申请
    Camera Platform and Object Inventory Control 有权

    公开(公告)号：US20210158046A1

    公开(公告)日：2021-05-27

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

    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.

    Searchable Texture Index
    48.
    发明申请
    Searchable Texture Index 有权

    公开(公告)号：US20210142383A1

    公开(公告)日：2021-05-13

    申请号：US17154520

    申请日：2021-01-21

    Applicant: eBay Inc.

    Inventor： Neelakantan Sundaresan ,  Anurag Bhardwaj ,  Robinson Piramuthu

    IPC: 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.

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