Patents by Inventor Vitor Rocha de Carvalho
Vitor Rocha de Carvalho has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240037141Abstract: Systems, methods, devices, media, and computer readable instructions are described for local image tagging in a resource constrained environment. One embodiment involves processing image data using a deep convolutional neural network (DCNN) comprising at least a first subgraph and a second subgraph, the first subgraph comprising at least a first layer and a second layer, processing, the image data using at least the first layer of the first subgraph to generate first intermediate output data; processing, by the mobile device, the first intermediate output data using at least the second layer of the first subgraph to generate first subgraph output data, and in response to a determination that each layer reliant on the first intermediate data have completed processing, deleting the first intermediate data from the mobile device. Additional embodiments involve convolving entire pixel resolutions of the image data against kernels in different layers if the DCNN.Type: ApplicationFiled: October 10, 2023Publication date: February 1, 2024Inventors: Xiaoyu Wang, Ning Xu, Ning Zhang, Vitor Rocha de Carvalho, Jia Li
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Publication number: 20240022532Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use an attention-based mechanism that emphasis or de-emphasizes each data type (e.g., image, word, character) in the multimodal message based on each datatypes relevance. The output of the attention mechanism can be used to update a recurrent network to identify one or more words in the caption as being a named entity.Type: ApplicationFiled: July 25, 2023Publication date: January 18, 2024Inventors: Vitor Rocha de Carvalho, Leonardo Ribas Machado das Neves, Seungwhan Moon
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Publication number: 20230385551Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use a visual attention based mechanism to generate a visual context representation from an image and caption. The system can use the visual context representation to identify one or more terms of the caption as a named entity.Type: ApplicationFiled: May 23, 2023Publication date: November 30, 2023Inventors: Di Lu, Leonardo Ribas Machado das Neves, Vitor Rocha de Carvalho, Ning Zhang
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Publication number: 20230297775Abstract: Systems, devices, media, and methods are presented for generating a language detection model of a language analysis system. The systems and methods access a set of messages including text elements and convert the set of messages into a set of training messages. The set of training messages are configured for training a language detection model. The systems and methods train a classifier based on the set of training messages. The classifier has a set of features representing word frequency, character frequency, and a character ratio. The systems and methods generate a language detection model based on the classifier and the set of features.Type: ApplicationFiled: May 25, 2023Publication date: September 21, 2023Inventors: Vitor Rocha de Carvalho, Luis Carlos Dos Santos Marujo, Leonardo Ribas Machado das Neves
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Patent number: 11750547Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use an attention-based mechanism that emphasis or de-emphasizes each data type (e.g., image, word, character) in the multimodal message based on each datatypes relevance. The output of the attention mechanism can be used to update a recurrent network to identify one or more words in the caption as being a named entity.Type: GrantFiled: August 27, 2021Date of Patent: September 5, 2023Assignee: Snap Inc.Inventors: Vitor Rocha de Carvalho, Leonardo Ribas Machado das Neves, Seungwhan Moon
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Patent number: 11704488Abstract: Systems, devices, media, and methods are presented for generating a language detection model of a language analysis system. The systems and methods access a set of messages including text elements and convert the set of messages into a set of training messages. The set of training messages are configured for training a language detection model. The systems and methods train a classifier based on the set of training messages. The classifier has a set of features representing word frequency, character frequency, and a character ratio. The systems and methods generate a language detection model based on the classifier and the set of features.Type: GrantFiled: December 7, 2021Date of Patent: July 18, 2023Assignee: Snap Inc.Inventors: Vitor Rocha de Carvalho, Luis Carlos Dos Santos Marujo, Leonardo Ribas Machado das Neves
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Patent number: 11687720Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use a visual attention based mechanism to generate a visual context representation from an image and caption. The system can use the visual context representation to identify one or more terms of the caption as a named entity.Type: GrantFiled: May 3, 2021Date of Patent: June 27, 2023Assignee: Snap Inc.Inventors: Di Lu, Leonardo Ribas Machado das Neves, Vitor Rocha de Carvalho, Ning Zhang
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Publication number: 20230013116Abstract: A machine learning based system can identify an entity as the likely subject of a multimodal message (e.g., a social media post having a short text phrase overlaid on an image) by creating embeddings for an image of the multimodal message and one or more string embeddings from text of the multimodal message. The embeddings can be weighted to maximize information gain, then recombined and compared against a result embedding database to identify an entity as the subject of the multimodal message.Type: ApplicationFiled: September 15, 2022Publication date: January 19, 2023Inventors: Vitor Rocha de Carvalho, Leonardo Ribas Machado das Neves, Seungwhan Moon
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Patent number: 11475254Abstract: A machine learning based system can identify an entity as the likely subject of a multimodal message (e.g., a social media post having a short text phrase overlaid on an image) by creating embeddings for an image of the multimodal message and one or more string embeddings from text of the multimodal message. The embeddings can be weighted to maximize information gain, then recombined and compared against a result embedding database to identify an entity as the subject of the multimodal message.Type: GrantFiled: September 7, 2018Date of Patent: October 18, 2022Assignee: Snap Inc.Inventors: Vitor Rocha de Carvalho, Leonardo Ribas Machado das Neves, Seungwhan Moon
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Publication number: 20220092261Abstract: Systems, devices, media, and methods are presented for generating a language detection model of a language analysis system. The systems and methods access a set of messages including text elements and convert the set of messages into a set of training messages. The set of training messages are configured for training a language detection model. The systems and methods train a classifier based on the set of training messages. The classifier has a set of features representing word frequency, character frequency, and a character ratio. The systems and methods generate a language detection model based on the classifier and the set of features.Type: ApplicationFiled: December 7, 2021Publication date: March 24, 2022Inventors: Vitor Rocha de Carvalho, Luis Carlos Dos Santos Marujo, Leonardo Ribas Machado das Neves
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Patent number: 11210467Abstract: Systems, devices, media, and methods are presented for generating a language detection model of a language analysis system. The systems and methods access a set of messages including text elements and convert the set of messages into a set of training messages. The set of training messages are configured for training a language detection model. The systems and methods train a classifier based on the set of training messages. The classifier has a set of features representing word frequency, character frequency, and a character ratio. The systems and methods generate a language detection model based on the classifier and the set of features.Type: GrantFiled: April 13, 2018Date of Patent: December 28, 2021Assignee: Snap Inc.Inventors: Vitor Rocha de Carvalho, Luis Carlos Dos Santos Marujo, Leonardo Ribas Machado das Neves
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Publication number: 20210390411Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use an attention-based mechanism that emphasis or de-emphasizes each data type (e.g., image, word, character) in the multimodal message based on each datatypes relevance. The output of the attention mechanism can be used to update a recurrent network to identify one or more words in the caption as being a named entity.Type: ApplicationFiled: August 27, 2021Publication date: December 16, 2021Inventors: Vitor Rocha de Carvalho, Leonardo Ribas Machado das Neves, Seungwhan Moon
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Patent number: 11120334Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use an attention-based mechanism that emphasis or de-emphasizes each data type (e.g., image, word, character) in the multimodal message based on each datatypes relevance. The output of the attention mechanism can be used to update a recurrent network to identify one or more words in the caption as being a named entity.Type: GrantFiled: September 7, 2018Date of Patent: September 14, 2021Assignee: Snap Inc.Inventors: Vitor Rocha de Carvalho, Leonardo Ribas Machado das Neves, Seungwhan Moon
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Publication number: 20210256213Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use a visual attention based mechanism to generate a visual context representation from an image and caption. The system can use the visual context representation to identify one or more terms of the caption as a named entity.Type: ApplicationFiled: May 3, 2021Publication date: August 19, 2021Inventors: Di Lu, Leonardo Ribas Machado das Neves, Vitor Rocha de Carvalho, Ning Zhang
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Patent number: 11017173Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use a visual attention based mechanism to generate a visual context representation from an image and caption. The system can use the visual context representation to identify one or more terms of the caption as a named entity.Type: GrantFiled: December 21, 2018Date of Patent: May 25, 2021Assignee: Snap Inc.Inventors: Di Lu, Leonardo Ribas Machado das Neves, Vitor Rocha de Carvalho, Ning Zhang
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Patent number: 9622177Abstract: A context aware system, for use in a mobile device, includes a context change detector (CCD) coupled to a context classifier (CCL). The CCD is configured to receive sensor data and to detect a change in a current context state of the mobile device based on the received sensor data. The CCL is configured to transition from a low power consumption mode to a normal power consumption mode in response to the CCD detecting the change in the current context state. The CCL is further configured to determine a next context state of the mobile device while in the normal power consumption mode.Type: GrantFiled: August 6, 2015Date of Patent: April 11, 2017Assignee: QUALCOMM IncorporatedInventors: Tadeusz Jarosinski, Shankar Sadasivam, Ryan Michael Carey, Jinwon Lee, Bhuwan Dhingra, Abhijeet Bisain, Vitor Rocha de Carvalho, Rajeev Jain, Muralidhar Reddy Akula, Ashwin Swaminathan
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Publication number: 20170041874Abstract: A context aware system, for use in a mobile device, includes a context change detector (CCD) coupled to a context classifier (CCL). The CCD is configured to receive sensor data and to detect a change in a current context state of the mobile device based on the received sensor data. The CCL is configured to transition from a low power consumption mode to a normal power consumption mode in response to the CCD detecting the change in the current context state. The CCL is further configured to determine a next context state of the mobile device while in the normal power consumption mode.Type: ApplicationFiled: August 6, 2015Publication date: February 9, 2017Inventors: Tadeusz JAROSINSKI, Shankar SADASIVAM, Ryan Michael CAREY, Jinwon LEE, Bhuwan DHINGRA, Abhijeet BISAIN, Vitor Rocha de CARVALHO, Rajeev JAIN, Muralidhar Reddy AKULA, Ashwin SWAMINATHAN
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Patent number: 8135728Abstract: Extraction analysis techniques biased, in part, by query frequency information from a query log file and/or search engine cache are employed along with machine learning processes to determine candidate keywords and/or phrases of web documents. Web oriented features associated with the candidate keywords and/or phrases are also utilized to analyze the web documents. A keyword and/or phrase extraction mechanism can be utilized to score keywords and/or phrases in a web document and estimate a likelihood that the keywords and/or phrases are relevant, for example, in an advertising system and the like.Type: GrantFiled: January 3, 2007Date of Patent: March 13, 2012Assignee: Microsoft CorporationInventors: Wen-tau Yih, Joshua T. Goodman, Vitor Rocha de Carvalho