Patents by Inventor Dimitry Fisher
Dimitry Fisher 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: 20230126877Abstract: Certain aspects of the present disclosure provide techniques for training a tumor detection model. A method generally includes processing an input scan image of a tumor in a first state using a first computational model configured to simulate growth of the tumor in a first configuration to generate model output images of the simulated tumor comprising at least a first model output image representing the tumor in a second state, wherein the first model output image comprises a timestamp associated with the second state, training a first machine learning model to convert the first model output image to a first synthesized scan image, and training a second machine learning model to detect the simulated tumor in image data using the first synthesized scan image and the input scan image.Type: ApplicationFiled: October 25, 2022Publication date: April 27, 2023Inventors: Dimitry FISHER, Diana SHAPIRO, I
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Publication number: 20230119124Abstract: Apparatus and methods for identification of a coded pattern visible to a computerized imaging apparatus while invisible or inconspicuous to human eyes. A pattern and/or marking may serve to indicate identity of an object, and/or the relative position of the pattern to a viewer. While some solutions exist for identifying patterns (for example, QR codes), they may be visually obtrusive to a human observer due to visual clutter. In exemplary implementations, apparatus and methods are capable of generating patterns with sufficient structure to be used for either discrimination or some aspect of localization, while incorporating spectral properties that are more aesthetically acceptable such as being: a) imperceptible or subtle to the human observer and/or b) aligned to an existing acceptable visual form, such as a logo. In one variant, a viewer comprises an imaging system comprised as a processor and laser scanner, or camera, or moving photodiode.Type: ApplicationFiled: December 19, 2022Publication date: April 20, 2023Inventors: Philip Meier, Dimitry Fisher, Chance Roth, Steven Hypnarowski
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Publication number: 20230055263Abstract: Certain aspects of the present disclosure provide techniques for stratifying data samples for use in machine learning and/or data analytics. A method generally includes extracting one or more meta attributes from each respective data sample of a plurality of data samples in a dataset; generating a plurality of hyper information frames, wherein each respective hyper information frame is associated with a respective data sample of the plurality of data samples and comprises the data sample and at least a subset of the one or more meta attributes extracted from the respective data sample; converting any non-numeric attribute value in each hyper information frame of the plurality of hyper information frames into a numeric attribute value; generating reduced dimensionality hyper information frames; clustering the reduced dimensionality hyper information frames into a plurality of clusters; and stratifying the data samples by sampling from the plurality of clusters.Type: ApplicationFiled: August 22, 2022Publication date: February 23, 2023Inventors: Yang ZHONG, Dimitry FISHER
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Patent number: 11562458Abstract: Apparatus and methods for identification of a coded pattern visible to a computerized imaging apparatus while invisible or inconspicuous to human eyes. A pattern and/or marking may serve to indicate identity of an object, and/or the relative position of the pattern to a viewer. While some solutions exist for identifying patterns (for example, QR codes), they may be visually obtrusive to a human observer due to visual clutter. In exemplary implementations, apparatus and methods are capable of generating patterns with sufficient structure to be used for either discrimination or some aspect of localization, while incorporating spectral properties that are more aesthetically acceptable such as being: a) imperceptible or subtle to the human observer and/or b) aligned to an existing acceptable visual form, such as a logo. In one variant, a viewer comprises an imaging system comprised as a processor and laser scanner, or camera, or moving photodiode.Type: GrantFiled: February 6, 2020Date of Patent: January 24, 2023Assignee: GoPro, Inc.Inventors: Philip Meier, Dimitry Fisher, Chance Roth, Steven Hypnarowski
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Publication number: 20220400251Abstract: Certain aspects of the present disclosure provide techniques for generating context-aware inferences using a machine learning model. The method generally includes receiving a time-series data sequence and a contextual model specifying characteristics of how objects behave in an environment in which the time-series data sequence was captured. A feature data set from the contextual model is extracted using a first machine learning model. Generally, the extracted feature data set comprises a representation of the specified characteristics of how objects behave in the environment. A future state of an object in the environment is predicted using the time-series data sequence and the extracted feature data set representing the specified characteristics of how objects behave in the environment as input into a second machine learning model. One or more actions are taken based on the predicted future state of the object in the environment.Type: ApplicationFiled: June 14, 2022Publication date: December 15, 2022Inventor: Dimitry FISHER
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Patent number: 10967519Abstract: Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.Type: GrantFiled: September 25, 2019Date of Patent: April 6, 2021Assignee: Brain CorporationInventors: Dimitry Fisher, Cody Griffin, Micah Richert, Filip Piekniewski, Eugene Izhikevich, Jayram Moorkanikara Nageswaran, John Black
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Patent number: 10860882Abstract: Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.Type: GrantFiled: July 23, 2018Date of Patent: December 8, 2020Assignee: Brain CorporationInventors: Filip Piekniewski, Micah Richert, Dimitry Fisher
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Patent number: 10818016Abstract: Systems and methods for predictive/reconstructive visual object tracking are disclosed. The visual object tracking has advanced abilities to track objects in scenes, which can have a variety of applications as discussed in this disclosure. In some exemplary implementations, a visual system can comprise a plurality of associative memory units, wherein each associative memory unit has a plurality of layers. The associative memory units can be communicatively coupled to each other in a hierarchical structure, wherein data in associative memory units in higher levels of the hierarchical structure are more abstract than lower associative memory units. The associative memory units can communicate to one another supplying contextual data.Type: GrantFiled: March 19, 2019Date of Patent: October 27, 2020Assignee: Brain CorporationInventors: Filip Piekniewski, Micah Richert, Dimitry Fisher, Patryk Laurent, Csaba Petre
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Patent number: 10810456Abstract: Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.Type: GrantFiled: January 15, 2018Date of Patent: October 20, 2020Assignee: Brain CorporationInventors: Filip Piekniewski, Micah Richert, Dimitry Fisher
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Publication number: 20200175640Abstract: Apparatus and methods for identification of a coded pattern visible to a computerized imaging apparatus while invisible or inconspicuous to human eyes. A pattern and/or marking may serve to indicate identity of an object, and/or the relative position of the pattern to a viewer. While some solutions exist for identifying patterns (for example, QR codes), they may be visually obtrusive to a human observer due to visual clutter. In exemplary implementations, apparatus and methods are capable of generating patterns with sufficient structure to be used for either discrimination or some aspect of localization, while incorporating spectral properties that are more aesthetically acceptable such as being: a) imperceptible or subtle to the human observer and/or b) aligned to an existing acceptable visual form, such as a logo. In one variant, a viewer comprises an imaging system comprised as a processor and laser scanner, or camera, or moving photodiode.Type: ApplicationFiled: February 6, 2020Publication date: June 4, 2020Inventors: Philip Meier, Dimitry Fisher, Chance Roth, Steven Hypnarowski
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Publication number: 20200086494Abstract: Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.Type: ApplicationFiled: September 25, 2019Publication date: March 19, 2020Inventors: Dimitry Fisher, Cody Griffin, Micah Richert, Filip Piekniewski, Eugene Izhikevich, Jayram Moorkanikara Nageswaran, John Black
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Patent number: 10580102Abstract: Apparatus and methods for identification of a coded pattern visible to a computerized imaging apparatus while invisible or inconspicuous to human eyes. A pattern and/or marking may serve to indicate identity of an object, and/or the relative position of the pattern to a viewer. While some solutions exist for identifying patterns (for example, QR codes), they may be visually obtrusive to a human observer due to visual clutter. In exemplary implementations, apparatus and methods are capable of generating patterns with sufficient structure to be used for either discrimination or some aspect of localization, while incorporating spectral properties that are more aesthetically acceptable such as being: a) imperceptible or subtle to the human observer and/or b) aligned to an existing acceptable visual form, such as a logo. In one variant, a viewer comprises an imaging system comprised as a processor and laser scanner, or camera, or moving photodiode.Type: GrantFiled: December 29, 2017Date of Patent: March 3, 2020Assignee: GoPro, Inc.Inventors: Philip Meier, Dimitry Fisher, Chance Roth, Steven Hypnarowski
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Patent number: 10464213Abstract: Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.Type: GrantFiled: June 4, 2018Date of Patent: November 5, 2019Assignee: Brain CorporationInventors: Dimitry Fisher, Cody Griffin, Micah Richert, Filip Piekniewski, Eugene Izhikevich, Jayram Moorkanikara Nageswaran, John Black
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Patent number: 10391628Abstract: Apparatus and methods for a modular robotic device with artificial intelligence that is receptive to training controls. In one implementation, modular robotic device architecture may be used to provide all or most high cost components in an autonomy module that is separate from the robotic body. The autonomy module may comprise controller, power, actuators that may be connected to controllable elements of the robotic body. The controller may position limbs of the toy in a target position. A user may utilize haptic training approach in order to enable the robotic toy to perform target action(s). Modular configuration of the disclosure enables users to replace one toy body (e.g., the bear) with another (e.g., a giraffe) while using hardware provided by the autonomy module. Modular architecture may enable users to purchase a single AM for use with multiple robotic bodies, thereby reducing the overall cost of ownership.Type: GrantFiled: March 30, 2017Date of Patent: August 27, 2019Assignee: Brain CorporationInventors: Eugene Izhikevich, Dimitry Fisher, Jean-Baptiste Passot
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Publication number: 20190244365Abstract: Systems and methods for predictive/reconstructive visual object tracking are disclosed. The visual object tracking has advanced abilities to track objects in scenes, which can have a variety of applications as discussed in this disclosure. In some exemplary implementations, a visual system can comprise a plurality of associative memory units, wherein each associative memory unit has a plurality of layers. The associative memory units can be communicatively coupled to each other in a hierarchical structure, wherein data in associative memory units in higher levels of the hierarchical structure are more abstract than lower associative memory units. The associative memory units can communicate to one another supplying contextual data.Type: ApplicationFiled: March 19, 2019Publication date: August 8, 2019Inventors: Filip Piekniewski, Micah Richert, Dimitry Fisher, Patryk Laurent, Csaba Petre
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Publication number: 20190143505Abstract: Apparatus and methods for a modular robotic device with artificial intelligence that is receptive to training controls. In one implementation, modular robotic device architecture may be used to provide all or most high cost components in an autonomy module that is separate from the robotic body. The autonomy module may comprise controller, power, actuators that may be connected to controllable elements of the robotic body. The controller may position limbs of the toy in a target position. A user may utilize haptic training approach in order to enable the robotic toy to perform target action(s). Modular configuration of the disclosure enables users to replace one toy body (e.g., the bear) with another (e.g., a giraffe) while using hardware provided by the autonomy module. Modular architecture may enable users to purchase a single AM for use with multiple robotic bodies, thereby reducing the overall cost of ownership.Type: ApplicationFiled: November 26, 2018Publication date: May 16, 2019Inventors: Eugene Izhikevich, Dimitry Fisher, Jean-Baptiste Passot, Heathcliff Hatcher, Vadim Polonichko
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Patent number: 10282849Abstract: Systems and methods for predictive/reconstructive visual object tracking are disclosed. The visual object tracking has advanced abilities to track objects in scenes, which can have a variety of applications as discussed in this disclosure. In some exemplary implementations, a visual system can comprise a plurality of associative memory units, wherein each associative memory unit has a plurality of layers. The associative memory units can be communicatively coupled to each other in a hierarchical structure, wherein data in associative memory units in higher levels of the hierarchical structure are more abstract than lower associative memory units. The associative memory units can communicate to one another supplying contextual data.Type: GrantFiled: June 19, 2017Date of Patent: May 7, 2019Assignee: Brain CorporationInventors: Filip Piekniewski, Micah Richert, Dimitry Fisher, Patryk Laurent, Csaba Petre
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Publication number: 20190061160Abstract: Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.Type: ApplicationFiled: June 4, 2018Publication date: February 28, 2019Inventors: Dimitry Fisher, Cody Griffin, Micah Richert, Filip Piekniewski, Eugene Izhikevich, Jayram Moorkanikara Nageswaran, John Black
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Publication number: 20190043208Abstract: Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.Type: ApplicationFiled: July 23, 2018Publication date: February 7, 2019Inventors: Filip Piekniewski, Micah Richert, Dimitry Fisher
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Publication number: 20190005659Abstract: Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.Type: ApplicationFiled: August 17, 2018Publication date: January 3, 2019Inventors: Filip Piekniewski, Micah Richert, Dimitry Fisher