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公开(公告)号:US20190286950A1
公开(公告)日:2019-09-19
申请号:US15923347
申请日:2018-03-16
Applicant: eBay Inc.
Inventor: Mohammadhadi Kiapour , Shuai Zheng , Robinson Piramuthu , Omid Poursaeed
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.
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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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公开(公告)号:US10255686B2
公开(公告)日:2019-04-09
申请号:US15408648
申请日:2017-01-18
Applicant: eBay Inc.
Inventor: Anurag Bhardwaj , Mohammad Haris Baig , Robinson Piramuthu , Vignesh Jagadeesh , Wei Di
Abstract: During a training phase, a machine accesses reference images with corresponding depth information. The machine calculates visual descriptors and corresponding depth descriptors from this information. The machine then generates a mapping that correlates these visual descriptors with their corresponding depth descriptors. After the training phase, the machine may perform depth estimation based on a single query image devoid of depth information. The machine may calculate one or more visual descriptors from the single query image and obtain a corresponding depth descriptor for each visual descriptor from the generated mapping. Based on obtained depth descriptors, the machine creates depth information that corresponds to the submitted single query image.
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公开(公告)号:US20190080172A1
公开(公告)日:2019-03-14
申请号:US15859056
申请日:2017-12-29
Applicant: eBay Inc.
Inventor: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
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.
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公开(公告)号:US20190080171A1
公开(公告)日:2019-03-14
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
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.
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公开(公告)号:US20180276495A1
公开(公告)日:2018-09-27
申请号:US15465883
申请日:2017-03-22
Applicant: eBay Inc.
Inventor: Licheng Yu , Mohammadhadi Kiapour , Ajinkya Gorakhnath Kale , Robinson Piramuthu
CPC classification number: G06N7/005 , G06K9/00671 , G06K9/4628 , G06K9/6274 , G06N3/0445 , G06N3/08 , G06N5/022
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.
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公开(公告)号:US20180150710A1
公开(公告)日:2018-05-31
申请号:US15824403
申请日:2017-11-28
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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公开(公告)号:US20180107902A1
公开(公告)日:2018-04-19
申请号:US15294773
申请日:2016-10-16
Applicant: eBay Inc.
Inventor: Fan Yang , Ajinkya Gorakhnath Kale , Qiaosong Wang , Mohammadhadi Kiapour , Robinson Piramuthu
CPC classification number: G06K9/6277 , G06F16/50 , G06F16/532 , G06F16/583 , G06K9/4671 , G06K9/623 , G06K9/6269 , G06N3/0445 , G06N3/0454 , G06N3/084 , G06N5/022 , G06N7/005
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.
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公开(公告)号:US20180107685A1
公开(公告)日:2018-04-19
申请号:US15294767
申请日:2016-10-16
Applicant: eBay Inc.
Inventor: Ajinkya Gorakhnath Kale , Fan Yang , Qiaosong Wang , Mohammadhadi Kiapour , Robinson Piramuthu
CPC classification number: G06F16/5838 , G06F16/24578 , G06F16/248 , G06F16/51 , G06K9/6212 , G06K9/6269 , G06N3/0445 , G06N7/005 , G06Q30/0643
Abstract: Systems, methods, and computer program products for identifying a candidate product in an electronic marketplace based on a visual comparison between candidate product image visual content and input query image visual content. Embodiments generate and store descriptive image signatures from candidate product images or selected portions of such images. A subsequently calculated visual similarity measure serves as a visual search result score for the candidate product in comparison to an input query image. Any number of images of any number of candidate products may be analyzed, such as for items available for sale in an online marketplace. Image analysis results are stored in a database and made available for subsequent automated on-demand visual comparisons to an input query image. The embodiments enable substantially real time visual based product searching of a potentially vast catalog of items.
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公开(公告)号:US09928412B2
公开(公告)日:2018-03-27
申请号:US14883419
申请日:2015-10-14
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: A large synthetic 3D human body model dataset using real-world body size distributions is created. The model dataset may follow real-world body parameter distributions. Depth sensors can be integrated into mobile devices such as tablets, cellphones, and wearable devices. Body measurements for a user are extracted from a single frontal-view depth map using joint location information. Estimates of body measurements are combined with local geometry features around joint locations to form a robust multi-dimensional feature vector. A fast nearest-neighbor search is performed using the feature vector for the user and the feature vectors for the synthetic models to identify the closest match. The retrieved model can be used in various applications such as clothes shopping, virtual reality, online gaming, and others.
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