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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.
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公开(公告)号：US10853407B2
公开(公告)日：2020-12-01
申请号：US14290754
申请日：2014-05-29
Applicant: eBay Inc.
Inventor： Anurag Bhardwaj , Robinson Piramuthu , Vicente Ordonez-Roman , Vignesh Jagadeesh , Wei Di
IPC: G06F16/58 , G06F16/583 , G06K9/46 , G06F16/53 , G06F16/50 , G06T7/11 , G06T7/10 , G06F16/532
Abstract: A machine may be configured to execute a machine-learning process for identifying and understanding fine properties of various items of various types by using images and associated corresponding annotations, such as titles, captions, tags, keywords, or other textual information applied to these images. By use of a machine-learning process, the machine may perform property identification accurately and without human intervention. These item properties may be used as annotations for other images that have similar features. Accordingly, the machine may answer user-submitted questions, such as “What do rustic items look like?,” and items or images depicting items that are deemed to be rustic can be readily identified, classified, ranked, or any suitable combination thereof.
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公开(公告)号：US10387773B2
公开(公告)日：2019-08-20
申请号：US14582059
申请日：2014-12-23
Applicant: eBay Inc.
Inventor： Zhicheng Yan , Robinson Piramuthu , Vignesh Jagadeesh , Wei Di , Dennis Decoste
Abstract: Hierarchical branching deep convolutional neural networks (HD-CNNs) improve existing convolutional neural network (CNN) technology. In a HD-CNN, classes that can be easily distinguished are classified in a higher layer coarse category CNN, while the most difficult classifications are done on lower layer fine category CNNs. Multinomial logistic loss and a novel temporal sparsity penalty may be used in HD-CNN training. The use of multinomial logistic loss and a temporal sparsity penalty causes each branching component to deal with distinct subsets of categories.
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公开(公告)号：US20180173945A1
公开(公告)日：2018-06-21
申请号：US15896384
申请日：2018-02-14
Applicant: eBay Inc.
Inventor： Qiaosong Wang , Robinson Piramuthu , Vignesh Jagadeesh , Bryan Kent Ressler
CPC classification number: G06K9/00375 , A41H1/02 , G06K9/00362 , G06K9/52 , G06K9/6201 , G06Q30/0643 , G06T7/60 , G06T2207/10028 , G06T2207/30196 , G06T2210/16
Abstract: Disclosed are methods and systems for displaying items of clothing on a model having a similar body shape to that of an ecommerce user. In one aspects, a system includes one or more hardware processors configured to perform operations comprising receiving, by one or more hardware processors, an image, the image representing a user height, user weight, and user gender, causing display, by the one or more hardware processors, of a second image via a computer interface, the second image representing a model, the model selected based on a comparison of a model height, weight, and gender with the user height, weight, and gender respectively, receiving, by the one or more hardware processors, a selection of an item of clothing, and causing display, by the one or more hardware processors, of a representation of the selected model wearing the selected item of clothing.
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公开(公告)号：US20160098608A1
公开(公告)日：2016-04-07
申请号：US14971143
申请日：2015-12-16
Applicant: eBay Inc.
Inventor： Anurag Bhardwaj , Chen-Yu Lee , Robinson Piramuthu , Vignesh Jagadeesh , Wei Di
CPC classification number: G06K9/18 , G06K9/3258 , G06K9/6231 , G06K9/6267 , G06K2009/4666 , G06T11/60
Abstract: Apparatus and method for performing accurate text recognition of non-simplistic images (e.g., images with clutter backgrounds, lighting variations, font variations, non-standard perspectives, and the like) may employ a machine-learning approach to identify a discriminative feature set selected from among features computed for a plurality of irregularly positioned, sized, and/or shaped (e.g., randomly selected) image sub-regions.
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Patent Agency Ranking
公开(公告)号：US20250014055A1
公开(公告)日：2025-01-09
申请号：US18887992
申请日：2024-09-17
Applicant: eBay Inc.
Inventor： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
IPC: G06Q30/0201 , G06F16/58 , G06F16/583 , G06F16/60 , G06F16/63 , G06F18/24 , G06F18/2415 , G06Q30/0601 , 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 per forms 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.
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公开(公告)号：US20220391646A1
公开(公告)日：2022-12-08
申请号：US17886648
申请日：2022-08-12
Applicant: eBay Inc
Inventor： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
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.
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公开(公告)号：US20220327854A1
公开(公告)日：2022-10-13
申请号：US17846509
申请日：2022-06-22
Applicant: eBay Inc.
Inventor： Qiaosong Wang , Robinson Piramuthu , Vignesh Jagadeesh , Bryan Kent Ressler
Abstract: Disclosed are methods and systems for displaying items of clothing on a model having a similar body shape to that of an ecommerce user. In one aspects, a system includes one or more hardware processors configured to perform operations comprising receiving, by one or more hardware processors, an image, the image representing a user height, user weight, and user gender, causing display, by the one or more hardware processors, of a second image via a computer interface, the second image representing a model, the model selected based on a comparison of a model height, weight, and gender with the user height, weight, and gender respectively, receiving, by the one or more hardware processors, a selection of an item of clothing; and causing display, by the one or more hardware processors, of a representation of the selected model wearing the selected item of clothing.
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公开(公告)号：US20210406960A1
公开(公告)日：2021-12-30
申请号：US17473280
申请日：2021-09-13
Applicant: eBay Inc.
Inventor： Kota Hara , Vignesh Jagadeesh , Robinson Piramuthu
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.
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公开(公告)号：US20190122083A1
公开(公告)日：2019-04-25
申请号：US16225338
申请日：2018-12-19
Applicant: eBay Inc.
Inventor： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
Abstract: A machine may he 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.
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