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公开(公告)号:US20230273841A1
公开(公告)日:2023-08-31
申请号:US18312481
申请日:2023-05-04
发明人: Austin WALTERS , Vincent PHAM , Kate KEY , Kenneth TAYLOR , Anh TRUONG , Fardin ABDI TAGHI ABAD , Jeremy GOODSITT
IPC分类号: G06F9/54 , G06N20/00 , G06F17/16 , G06N3/04 , G06F11/36 , G06N3/088 , G06F21/62 , G06N5/04 , G06F17/15 , G06T7/194 , G06T7/254 , G06T7/246 , G06F16/2455 , G06F16/22 , G06F16/28 , G06F16/906 , G06F16/93 , G06F16/903 , G06F16/9038 , G06F16/9032 , G06F16/25 , G06F16/335 , G06F16/242 , G06F16/248 , G06F30/20 , G06F40/166 , G06F40/117 , G06F40/20 , G06F8/71 , G06F17/18 , G06F21/55 , G06F21/60 , G06N7/00 , G06Q10/04 , G06T11/00 , H04L9/40 , H04L67/306 , H04L67/00 , H04N21/234 , H04N21/81 , G06N5/00 , G06N5/02 , G06V30/196 , G06F18/22 , G06F18/23 , G06F18/24 , G06F18/40 , G06F18/213 , G06F18/214 , G06F18/21 , G06F18/20 , G06F18/2115 , G06F18/2411 , G06F18/2415 , G06N3/044 , G06N3/045 , G06N7/01 , G06V30/194 , G06V10/98 , G06V10/70 , G06N3/08
CPC分类号: G06F9/541 , G06N20/00 , G06F17/16 , G06N3/04 , G06F11/3628 , G06N3/088 , G06F21/6254 , G06N5/04 , G06F17/15 , G06F21/6245 , G06T7/194 , G06T7/254 , G06T7/246 , G06T7/248 , G06F16/24568 , G06F16/2237 , G06F16/285 , G06F16/906 , G06F16/93 , G06F16/90335 , G06F16/9038 , G06F16/90332 , G06F16/258 , G06F16/288 , G06F16/283 , G06F16/335 , G06F16/2264 , G06F16/2423 , G06F16/248 , G06F16/254 , G06F30/20 , G06F40/166 , G06F40/117 , G06F40/20 , G06F8/71 , G06F9/54 , G06F9/547 , G06F11/3608 , G06F11/3636 , G06F17/18 , G06F21/552 , G06F21/60 , G06N7/00 , G06Q10/04 , G06T11/001 , H04L63/1416 , H04L63/1491 , H04L67/306 , H04L67/34 , H04N21/23412 , H04N21/8153 , G06N5/00 , G06N5/02 , G06V30/1985 , G06F18/22 , G06F18/23 , G06F18/24 , G06F18/40 , G06F18/213 , G06F18/214 , G06F18/217 , G06F18/285 , G06F18/2115 , G06F18/2148 , G06F18/2193 , G06F18/2411 , G06F18/2415 , G06N3/044 , G06N3/045 , G06N7/01 , G06V30/194 , G06V10/993 , G06V10/768 , G06N3/08 , G06T2207/20084 , G06T2207/10016 , G06T2207/20081
摘要: Systems and methods for generating synthetic video are disclosed. For example, a system may include a memory unit and a processor configured to execute the instructions to perform operations. The operations may include receiving video data, normalizing image frames, generating difference images, and generating an image sequence generator model. The operations may include training an autoencoder model using difference images, the autoencoder comprising an encoder model and a decoder model. The operations may include identifying a seed image frame and generating a seed difference image from the seed image frame. The operations may include generating, by the image sequence generator model, synthetic difference images based on the seed difference image. In some aspects, the operations may include using the decoder model to synthetic normalized image frames from the synthetic difference images. The operations may include generating synthetic video by adding background to the synthetic normalized image frames.
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公开(公告)号:US20230206460A1
公开(公告)日:2023-06-29
申请号:US18145880
申请日:2022-12-23
发明人: Reza FARIVAR , Kenneth TAYLOR
CPC分类号: G06T7/149 , G06T7/174 , G06N3/088 , G06N20/00 , G06T7/11 , G06T7/194 , G06N3/08 , G06T2207/20084 , G06T2207/20081 , G06T2207/30176
摘要: A method may include identifying a first image for training a deep learning network, wherein the first image includes at least one target object associated with at least one location in the first image, and wherein the first image is associated with a mask image; determining a set of deformations to create a training set of deformed images, wherein the training set is to be used to train the deep learning network; generating the training set of deformed images by applying the set of deformations to the first image; and generating a set of deformed mask images by applying the set of deformations to the mask image, wherein each deformed image of the training set of deformed images is associated with a respective mask image to identify the location of the at least one target object in each deformed image.
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公开(公告)号:US20230195541A1
公开(公告)日:2023-06-22
申请号:US18165725
申请日:2023-02-07
发明人: Anh TRUONG , Fardin ABDI TAGHI ABAD , Jeremy GOODSITT , Austin WALTERS , Mark WATSON , Vincent PHAM , Noriaki TATSUMI , Michael WALTERS , Kate KEY , Reza FARIVAR , Kenneth TAYLOR
IPC分类号: G06F9/54 , G06N20/00 , G06F17/16 , G06N3/04 , G06F11/36 , G06N3/088 , G06F21/62 , G06N5/04 , G06F17/15 , G06T7/194 , G06T7/254 , G06T7/246 , G06F16/2455 , G06F16/22 , G06F16/28 , G06F16/906 , G06F16/93 , G06F16/903 , G06F16/9038 , G06F16/9032 , G06F16/25 , G06F16/335 , G06F16/242 , G06F16/248 , G06F30/20 , G06F40/166 , G06F40/117 , G06F40/20 , G06F8/71 , G06F17/18 , G06F21/55 , G06F21/60 , G06N7/00 , G06Q10/04 , G06T11/00 , H04L9/40 , H04L67/306 , H04L67/00 , H04N21/234 , H04N21/81 , G06N5/00 , G06N5/02 , G06V30/196 , G06F18/22 , G06F18/23 , G06F18/24 , G06F18/40 , G06F18/213 , G06F18/214 , G06F18/21 , G06F18/20 , G06F18/2115 , G06F18/2411 , G06F18/2415 , G06N3/044 , G06N3/045 , G06N7/01 , G06V30/194 , G06V10/98 , G06V10/70 , G06N3/08
CPC分类号: G06F9/541 , G06N20/00 , G06F17/16 , G06N3/04 , G06F11/3628 , G06N3/088 , G06F21/6254 , G06N5/04 , G06F17/15 , G06F21/6245 , G06T7/194 , G06T7/254 , G06T7/246 , G06T7/248 , G06F16/24568 , G06F16/2237 , G06F16/285 , G06F16/906 , G06F16/93 , G06F16/90335 , G06F16/9038 , G06F16/90332 , G06F16/258 , G06F16/288 , G06F16/283 , G06F16/335 , G06F16/2264 , G06F16/2423 , G06F16/248 , G06F16/254 , G06F30/20 , G06F40/166 , G06F40/117 , G06F40/20 , G06F8/71 , G06F9/54 , G06F9/547 , G06F11/3608 , G06F11/3636 , G06F17/18 , G06F21/552 , G06F21/60 , G06N7/00 , G06Q10/04 , G06T11/001 , H04L63/1416 , H04L63/1491 , H04L67/306 , H04L67/34 , H04N21/23412 , H04N21/8153 , G06N5/00 , G06N5/02 , G06V30/1985 , G06F18/22 , G06F18/23 , G06F18/24 , G06F18/40 , G06F18/213 , G06F18/214 , G06F18/217 , G06F18/285 , G06F18/2115 , G06F18/2148 , G06F18/2193 , G06F18/2411 , G06F18/2415 , G06N3/044 , G06N3/045 , G06N7/01 , G06V30/194 , G06V10/993 , G06V10/768 , G06N3/08 , G06T2207/20084 , G06T2207/10016 , G06T2207/20081
摘要: A cloud computing system can be configured to generate data models. A model optimizer of the cloud computing system can provision computing resources of the cloud computing system with a data model. A dataset generator of the cloud computing system can generate a synthetic dataset for training the data model. The computing resources can train the data model using the synthetic dataset. The model optimizer can store the data model and metadata of the data model in a model storage. The cloud computing system can receive production data from a data source by a production instance of the cloud computing system using a common file system. The production data can be processed using the data model by the production instance. The computing resources, the dataset generator, and the model optimizer can be hosted by separate virtual computing instances of the cloud computing system.
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公开(公告)号:US20220318078A1
公开(公告)日:2022-10-06
申请号:US17845786
申请日:2022-06-21
发明人: Mark WATSON , Fardin Abdi Taghi ABAD , Anh TRUONG , Kenneth TAYLOR , Reza FARIVAR , Jeremy GOODSITT , Austin WALTERS , Vincent PHAM
IPC分类号: G06F9/54 , G06N20/00 , G06F17/16 , G06N3/04 , G06F11/36 , G06N3/08 , G06F21/62 , G06N5/04 , G06F17/15 , G06T7/194 , G06T7/254 , G06T7/246 , G06F16/2455 , G06F16/22 , G06F16/28 , G06F16/906 , G06F16/93 , G06F16/903 , G06F16/9038 , G06F16/9032 , G06F16/25 , G06F16/335 , G06F16/242 , G06F16/248 , G06F30/20 , G06F40/166 , G06F40/117 , G06F40/20 , G06F8/71 , G06F17/18 , G06F21/55 , G06F21/60 , G06K9/62 , G06N7/00 , G06Q10/04 , G06T11/00 , H04L9/40 , H04L67/306 , H04L67/00 , H04N21/234 , H04N21/81 , G06N5/00 , G06N5/02 , G06V10/70 , G06V10/98 , G06V30/194 , G06V30/196
摘要: An exemplary system, method, and computer-accessible medium can include, for example, receiving an original dataset(s), receiving a synthetic dataset(s), training a model(s) using the original dataset(s) and the synthetic dataset(s), and evaluating the synthetic dataset(s) based on the training of the model(s). The model(s) can include a first model and a second model, and the first model can be trained using the original dataset(s) and the second model can be trained using the synthetic dataset(s). The synthetic dataset(s) can be evaluated by comparing first results from the training of the first model to second results from the training of the second model.
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公开(公告)号:US20220308942A1
公开(公告)日:2022-09-29
申请号:US17836614
申请日:2022-06-09
发明人: Austin WALTERS , Fardin ABDI TAGHI ABAD , Vincent PHAM , Jeremy GOODSITT , Anh TRUONG , Mark WATSON , Reza FARIVAR , Kenneth TAYLOR
IPC分类号: G06F9/54 , G06N20/00 , G06F17/16 , G06N3/04 , G06F11/36 , G06N3/08 , G06F21/62 , G06N5/04 , G06F17/15 , G06T7/194 , G06T7/254 , G06T7/246 , G06F16/2455 , G06F16/22 , G06F16/28 , G06F16/906 , G06F16/93 , G06F16/903 , G06F16/9038 , G06F16/9032 , G06F16/25 , G06F16/335 , G06F16/242 , G06F16/248 , G06F30/20 , G06F40/166 , G06F40/117 , G06F40/20 , G06F8/71 , G06F17/18 , G06F21/55 , G06F21/60 , G06K9/62 , G06N7/00 , G06Q10/04 , G06T11/00 , H04L9/40 , H04L67/306 , H04L67/00 , H04N21/234 , H04N21/81 , G06N5/00 , G06N5/02 , G06V10/70 , G06V10/98 , G06V30/194 , G06V30/196
摘要: Systems and methods for censoring text-based data are provided. In some embodiments a censoring system may include at least one processor and at least one non-transitory memory storing application programming interface instructions. The censoring system may be configured to perform operations comprising storing a target pattern type and a computer-based model for identifying a target data pattern corresponding to a target pattern type within text based data. The censoring system may also be configured to receive text-based data by a server, and to retrieve the stored target pattern type to be censored in the text-based data. The censoring system may be configured to identify within the received text-based data, a target data pattern corresponding to the retrieved target pattern type. The censoring system may be configured to censor target characters within the identified target data pattern, and transmit the censored text-based data to a receiving party.
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公开(公告)号:US20210318865A1
公开(公告)日:2021-10-14
申请号:US16844680
申请日:2020-04-09
发明人: Reza FARIVAR , Kenneth TAYLOR , Austin Grant WALTERS , Fardin ABDI TAGHI ABAD , Anh TRUONG , Vincent PHAM , Jeremy Edward GOODSITT
摘要: Described herein are embodiments for managing comments in a program code file. A system may select program code and compile it to an intermediary code. The system may compare the intermediary code to a library of intermediary code snippets associated with comments. Based on the comparison, a system may recognize the code to be obsolete. In some embodiments, a system may generate one or more recommendations to update a code. Based on received feedback regarding a recommendation, a system may accordingly update a code.
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公开(公告)号:US20210056187A1
公开(公告)日:2021-02-25
申请号:US16996580
申请日:2020-08-18
发明人: Kenneth TAYLOR , Fardin Abdi Taghi ABAD , Jeremy GOODSITT , Austin WALTERS , Vincent PHAM , Anh TRUONG
摘要: Systems and methods for augmented reality authentication of a user are described, including authenticating a user by presenting the user with augmented reality authentication challenges, evaluating the user's response, and using the response to authenticate the user.
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公开(公告)号:US20200382487A1
公开(公告)日:2020-12-03
申请号:US16554726
申请日:2019-08-29
发明人: Fardin ABDI TAGHI ABAD , Reza FARIVAR , Jeremy Edward GOODSITT , Anh TRUONG , Kenneth TAYLOR , Mark Louis WATSON , Kate KEY , Vincent PHAM , Austin Grant WALTERS
IPC分类号: H04L29/06
摘要: Techniques for protecting passwords and/or password entry by a user are provided. User identification data for a user can be received from a remote computing device. An identity of the user can be determined based on the user identification data. A password for the user can be determined. A modified keyboard configuration associated with the user can be determined. A request can be transmitted to the remote computing device for the password for the user based on the modified keyboard configuration. A modified password from the remote computing device can be received. A converted password based on the modified password and the modified keyboard configuration can be determined. The converted password can be compared to the password for the user. The user can be authorized when the converted password matches the password for the user.
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公开(公告)号:US20200285958A1
公开(公告)日:2020-09-10
申请号:US16686793
申请日:2019-11-18
发明人: Fardi Abdi Taghi ABAD , Reza FARIVAR , Vincent PHAM , Kenneth TAYLOR , Mark WATSON , Jeremy GOODSITT , Austin WALTERS , Anh TRUONG
摘要: A method for generating a dual-class dataset is disclosed. A single-class dataset and a context dataset are obtained. The context dataset can be labeled. A model can be trained using the combination of the single-class dataset and the labeled context dataset. The model can be run on the context dataset. The data points that are classified the same as the data points included in the single-class dataset, can be removed from the labeled context dataset and added to the single-class dataset. These steps can be repeated until no data points are classified by the model.
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公开(公告)号:US20200226807A1
公开(公告)日:2020-07-16
申请号:US16707996
申请日:2019-12-09
发明人: Austin Grant WALTERS , Fardin ABDI TAGHI ABAD , Jeremy Edward GOODSITT , Reza FARIVAR , Kenneth TAYLOR
摘要: Logic may create new images by adding more than one synthetic image on a template. Logic may provide a template with a background for a new image. Logic may provide a set of models, each model to comprise a generative adversarial network (GAN), the GANs pretrained independently to generate different synthetic images. Logic may select two or more models from the set of models. Logic may generate, by the two or more models, two or more of the different synthetic images. Logic may combine the two or more of the different synthetic images with the template to create the new image. And logic may train a set of GANs independently, to generate one of two or more different synthetic images on a blank image background, the different synthetic images to comprise a subset of the multiple features of a new image.
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