Patents by Inventor Emre Yamangil
Emre Yamangil 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: 20230384918Abstract: A system of machine learning schemes can be configured to efficiently perform image processing tasks on a user device, such as a mobile phone. The system can selectively detect and transform individual regions within each frame of a live streaming video. The system can selectively partition and toggle image effects within the live streaming video.Type: ApplicationFiled: August 9, 2023Publication date: November 30, 2023Inventors: Theresa Barton, Yanping Chen, Jaewook Chung, Christopher Crutchfield, Aymeric Damien, Sergei Kotcur, Igor Kudriashov, Sergey Tulyakov, Andrew Wan, Emre Yamangil
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Patent number: 11775158Abstract: A system of machine learning schemes can be configured to efficiently perform image processing tasks on a user device, such as a mobile phone. The system can selectively detect and transform individual regions within each frame of a live streaming video. The system can selectively partition and toggle image effects within the live streaming video.Type: GrantFiled: June 22, 2021Date of Patent: October 3, 2023Assignee: Snap Inc.Inventors: Theresa Barton, Yanping Chen, Jaewook Chung, Christopher Yale Crutchfield, Aymeric Damien, Sergei Kotcur, Igor Kudriashov, Sergey Tulyakov, Andrew Wan, Emre Yamangil
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Publication number: 20230283654Abstract: A mobile device can implement a neural network-based style transfer scheme to modify an image in a first style to a second style. The style transfer scheme can be configured to detect an object in the image, apply an effect to the image, and blend the image using color space adjustments and blending schemes to generate a realistic result image. The style transfer scheme can further be configured to efficiently execute on the constrained device by removing operational layers based on resources available on the mobile device.Type: ApplicationFiled: May 10, 2023Publication date: September 7, 2023Inventors: Jaewook Chung, Christopher Yale Crutchfield, Emre Yamangil
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Patent number: 11683362Abstract: A mobile device can implement a neural network-based style transfer scheme to modify an image in a first style to a second style. The style transfer scheme can be configured to detect an object in the image, apply an effect to the image, and blend the image using color space adjustments and blending schemes to generate a realistic result image. The style transfer scheme can further be configured to efficiently execute on the constrained device by removing operational layers based on resources available on the mobile device.Type: GrantFiled: December 16, 2020Date of Patent: June 20, 2023Assignee: Snap Inc.Inventors: Jaewook Chung, Christopher Yale Crutchfield, Emre Yamangil
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Patent number: 11611525Abstract: Disclosed are methods and systems for ranking content. In one aspect, a method of ranking content for display includes identifying, via hardware processing circuitry, interactions by a single account with content pairs, each of the content in the content pairs included in a plurality of content, aggregating, via the hardware processing circuitry, the identified interactions across a plurality of accounts, associating, via the hardware processing circuitry, probabilities with each content in the plurality of content based on the aggregated interactions, ranking, via the hardware processing circuitry, the plurality of content based on the associated probabilities; and selecting, via the hardware processing circuitry, content ranked above a threshold for display.Type: GrantFiled: October 4, 2021Date of Patent: March 21, 2023Assignee: Snap Inc.Inventors: Theresa Barton, Yanping Chen, Lucas Ou-Yang, Emre Yamangil, Keyang Zhang, Jiwoon Jeon, Jaewook Chung, Wisam Dakka, Xin Chen
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Publication number: 20230056082Abstract: Manipulating images using computationally expensive machine learning schemes can be implemented using server-generated models of the machine learning schemes that are transmitted to a client device for application. The schemes can include convolutional neural networks having a kernel comprising a plurality of low-rank matrices.Type: ApplicationFiled: November 4, 2022Publication date: February 23, 2023Inventors: Jaewook Chung, Wisam Dakka, Christopher Yale Crutchfield, Aymeric Damien, Emre Yamangil, Chunhui Zhu
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Patent number: 11532110Abstract: Manipulating images using computationally expensive machine learning schemes can be implemented using server-generated models of the machine learning schemes that are transmitted to a client device for application. The schemes can include convolutional neural networks having a kernel comprising a plurality of low-rank matrices.Type: GrantFiled: July 8, 2020Date of Patent: December 20, 2022Inventors: Jaewook Chung, Emre Yamangil, Wisam Dakka, Aymeric Damien, Emre Yamangil, Chunhui Zhu
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Publication number: 20220029944Abstract: Disclosed are methods and systems for ranking content. In one aspect, a method of ranking content for display includes identifying, via hardware processing circuitry, interactions by a single account with content pairs, each of the content in the content pairs included in a plurality of content, aggregating, via the hardware processing circuitry, the identified interactions across a plurality of accounts, associating, via the hardware processing circuitry, probabilities with each content in the plurality of content based on the aggregated interactions, ranking, via the hardware processing circuitry, the plurality of content based on the associated probabilities; and selecting, via the hardware processing circuitry, content ranked above a threshold for display.Type: ApplicationFiled: October 4, 2021Publication date: January 27, 2022Inventors: Theresa Barton, Yanping Chen, Lucas Ou-Yang, Emre Yamangil, Keyang Zhang, Jiwoon Jeon, Jaewook Chung, Wisam Dakka, Xin Chen
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Publication number: 20210357418Abstract: Disclosed are implementations for ranking a feed in a social network. In one aspect, a method of generating a feed includes identifying a group of users associated with a first user, identify notifications for the first user based on the group of users, determine one or more actions that may result from each of the identified notifications, rank the notifications based on the one or more determined actions; and display the notifications to the first user according to the ranking.Type: ApplicationFiled: July 28, 2021Publication date: November 18, 2021Inventors: Jaewook Chung, Wisam Dakka, Andrei Damian, Jiwoon Jeon, Ranveer Kunal, Andre Madeira, Michael Brian Murray, Emre Yamangil, Diwakar Punjani, Yantao Zheng
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Patent number: 11171908Abstract: Disclosed are methods and systems for ranking content. In one aspect, a method of ranking content for display includes identifying, via hardware processing circuitry, interactions by a single account with content pairs, each of the content in the content pairs included in a plurality of content, aggregating, via the hardware processing circuitry, the identified interactions across a plurality of accounts, associating, via the hardware processing circuitry, probabilities with each content in the plurality of content based on the aggregated interactions, ranking, via the hardware processing circuitry, the plurality of content based on the associated probabilities; and selecting, via the hardware processing circuitry, content ranked above a threshold for display.Type: GrantFiled: February 28, 2019Date of Patent: November 9, 2021Assignee: Snap Inc.Inventors: Theresa Barton, Yanping Chen, Lucas Ou-Yang, Emre Yamangil, Keyang Zhang, Jiwoon Jeon, Jaewook Chung, Wisam Dakka, Xin Chen
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Publication number: 20210311618Abstract: A system of machine learning schemes can be configured to efficiently perform image processing tasks on a user device, such as a mobile phone. The system can selectively detect and transform individual regions within each frame of a live streaming video. The system can selectively partition and toggle image effects within the live streaming video.Type: ApplicationFiled: June 22, 2021Publication date: October 7, 2021Inventors: Theresa Barton, Yanping Chen, Jaewook Chung, Christopher Yale Crutchfield, Aymeric Damien, Sergei Kotcur, Igor Kudriashov, Sergey Tulyakov, Andrew Wan, Emre Yamangil
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Patent number: 11106686Abstract: Disclosed are implementations for ranking a feed in a social network. In one aspect, a method of generating a feed includes identifying a group of users associated with a first user, identify notifications for the first user based on the group of users, determine one or more actions that may result from each of the identified notifications, rank the notifications based on the one or more determined actions; and display the notifications to the first user according to the ranking.Type: GrantFiled: November 28, 2018Date of Patent: August 31, 2021Assignee: Snap Inc.Inventors: Jaewook Chung, Wisam Dakka, Andrei Damian, Jiwoon Jeon, Ranveer Kunal, Andre Madeira, Michael Brian Murray, Emre Yamangil, Diwakar Punjani, Yantao Zheng
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Patent number: 11068141Abstract: A system of machine learning schemes can be configured to efficiently perform image processing tasks on a user device, such as a mobile phone. The system can selectively detect and transform individual regions within each frame of a live streaming video. The system can selectively partition and toggle image effects within the live streaming video.Type: GrantFiled: February 1, 2019Date of Patent: July 20, 2021Assignee: Snap Inc.Inventors: Theresa Barton, Yanping Chen, Jaewook Chung, Christopher Yale Crutchfield, Aymeric Damien, Sergei Kotcur, Igor Kudriashov, Sergey Tulyakov, Andrew Wan, Emre Yamangil
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Publication number: 20210183033Abstract: A mobile device can implement a neural network-based style transfer scheme to modify an image in a first style to a second style. The style transfer scheme can be configured to detect an object in the image, apply an effect to the image, and blend the image using color space adjustments and blending schemes to generate a realistic result image. The style transfer scheme can further be configured to efficiently execute on the constrained device by removing operational layers based on resources available on the mobile device.Type: ApplicationFiled: December 16, 2020Publication date: June 17, 2021Inventors: Jaewook Chung, Christopher Yale Crutchfield, Emre Yamangil
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Patent number: 10891723Abstract: A mobile device can implement a neural network-based style transfer scheme to modify an image in a first style to a second style. The style transfer scheme can be configured to detect an object in the image, apply an effect to the image, and blend the image using color space adjustments and blending schemes to generate a realistic result image. The style transfer scheme can further be configured to efficiently execute on the constrained device by removing operational layers based on resources available on the mobile device.Type: GrantFiled: September 29, 2018Date of Patent: January 12, 2021Assignee: Snap Inc.Inventors: Jaewook Chung, Christopher Yale Crutchfield, Emre Yamangil