Patents by Inventor Dimitrios Lymperopoulos
Dimitrios Lymperopoulos 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: 20250014142Abstract: Systems and methods for georegistration are provided. An example method includes receiving a video stream including a plurality of video frames collected by an image sensor, presenting the video stream via a video player, and receiving user input associated with a first video frame of the plurality of video frames and a reference image. In some examples, the first video frame includes incomplete telemetry data. In some examples, the method further includes determining one or more coordinates associated with the first video frame based on user input associated with the first video frame and the reference image, determining the incomplete telemetry data associated with the first video frame based on the one or more determined coordinates, and generating a georegistration transform based on the determined telemetry data and the reference image.Type: ApplicationFiled: June 27, 2024Publication date: January 9, 2025Inventors: Ethan Van Andel, Joseph Driscoll, Stephen Ramsey, Mary Cameron, Matthew Betten, Matthew Fedderly, Duyen Luu Hai, Luke Wing, Dimitrios Lymperopoulos
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Publication number: 20240362798Abstract: In some examples, systems and methods for multiple-sensor object tracking are provided. For example, a method includes: receiving a first sensor feed and a second sensor feed from a plurality of sensors respectively. The first sensor feed includes a set of first images. The second sensor feed includes a set of second images. In some examples, the method further includes generating an image transformation based on at least one first image in the set of first images and at least one second image in the set of second images, applying the image transformation to the set of second images, aggregating the set of first images and the set of transformed second images to generate a set of aggregated images, and applying a multiple object tracking model to the set of aggregated images to identify a plurality of objects.Type: ApplicationFiled: April 26, 2024Publication date: October 31, 2024Inventors: Joseph Adam Driscoll, Aleksandr Patsekin, Ben Radford, Daniel Marasco, Dimitrios Lymperopoulos, Ethan Van Andel, Keun Jae Kim, Mary Cameron, Michel Goraczko, Miles Sackler, Prasanna Srikhanta, Rodney LaLonde, Stephen Ramsey, Tong Shen, Xin Li, Yue Wu, Cameron Derwin
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Publication number: 20240338830Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving a first image frame in a sequence of image frames, performing object tracking using an object tracker to identify a first object of interest and a second object of interest in the first image frame based at least in part on one or more first templates associated with the first object of interest, one or more second templates associated with the second object of interest, and a spatial relationship between the first object of interest and the second object of interest, outputting a first indicator associated with a first image portion corresponding to the identified first object of interest, and outputting a second indicator associated with a second image portion corresponding to the identified second object of interest.Type: ApplicationFiled: April 3, 2024Publication date: October 10, 2024Inventors: Aleksandr Patsekin, Ben Radford, Daniel Marasco, Dimitrios Lymperopoulos, Keun Jae Kim, Michel Goraczko, Prasanna Srikhanta, Rodney LaLonde, Tong Shen, Xin Li, Yue Wu, Cameron Derwin, Di Wang
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Publication number: 20240312027Abstract: In some examples, systems and methods for object tracking are provided. For example, a method includes: receiving an image frame in a sequence of image frames; identifying an object of interest in the image frame using a single-object tracker (SOT) based upon one or more templates associated with the object of interest in a template repository; generating a SOT output based on the identified object of interest; and detecting one or more objects in the image frame using a multiple-object tracker (MOT). In some examples, the MOT including a machine-learning model. In some examples, the method further includes conducting a matching between the SOT output and each detected object of the one or more detected objects to generate a match result; and generating a tracker output based at least in part on the SOT output, the one or more detected objects, and the match result.Type: ApplicationFiled: February 20, 2024Publication date: September 19, 2024Inventors: Aleksandr Patsekin, Ben Radford, Cameron Derwin, Daniel Marasco, Di Wang, Dimitrios Lymperopoulos, Elliot Kang, Keun Jae Kim, Matthew Betten, Matthew Fedderly, Michel Goraczko, Peng Lei, Prasanna Srikhanta, Rodney LaLonde, Steven Fackler, Tong Shen, Xin Li, Yue Wu
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Publication number: 20240303831Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving a first image frame of a sequence of image frames, performing object detection using an object tracker to identify an object of interest in the first image frame, based upon one or more templates associated with the object of interest in a template repository, outputting a first indicator associated with a first image portion corresponding to the identified object of interest, and receiving a user input associated with the object of interest. In some examples, the user input indicates an identified image portion in the image frame. In some examples, the method further includes generating a retargeted template, based at least in part on the identified image portion, and determining a second image portion associated with the object of interest in a second image frame of the sequence of image frames using the object tracker, based at least in part on the retargeted template.Type: ApplicationFiled: February 21, 2024Publication date: September 12, 2024Inventors: Aleksandr Patsekin, Ben Radford, Cameron Derwin, Daniel Marasco, Di Wang, Dimitrios Lymperopoulos, Elliot Kang, Keun Jae Kim, Matthew Betten, Matthew Fedderly, Michel Goraczko, Peng Lei, Prasanna Srikhanta, Rodney LaLonde, Steven Fackler, Tong Shen, Xin Li, Yue Wu
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Publication number: 20240296671Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving an input image, and performing object detection by a software detector to identify a set of detected objects. The software detector includes a machine-learning model. The method further includes outputting one or more indicators of the set of detected objects. Each detected object in the set of detected objects is associated with a confidence level. The method further includes receiving a user input; identifying a template including an image portion associated with the user input; determining a similarity metric between the template and an object in the set of detected objects; modifying a confidence level of the object based at least in part on the determined similarity metric; and generating an output including an indicator of the object based at least in part on the modified confidence level.Type: ApplicationFiled: February 19, 2024Publication date: September 5, 2024Inventors: Aleksandr Patsekin, Ben Radford, Cameron Derwin, Daniel Marasco, Di Wang, Dimitrios Lymperopoulos, Keun Jae Kim, Michel Goraczko, Peng Lei, Prasanna Srikhanta, Rodney LaLonde, Tong Shen, Xin Li, Yue Wu
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Patent number: 11106943Abstract: A computer implemented method includes obtaining a first deep neural network (DNN) model trained on labeled real image data for a downstream vision task, obtaining a second DNN model trained on synthetic images created with random image parameter values for the downstream vision task, obtaining a third DNN model trained on the labeled real image data and the synthetic images for the downstream vision task, performing a forward pass execution of each model to generate a loss, backpropagating the loss to modify parameter values, and iterating the forward pass execution and backpropagating with images generated by the modified parameters to jointly train the models and optimize the parameters.Type: GrantFiled: July 23, 2019Date of Patent: August 31, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Yuri Pekelny, Pedro Urbina Escos, Emanuel Shalev, Di Wang, Dimitrios Lymperopoulos
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Publication number: 20210027107Abstract: A computer implemented method includes obtaining a first deep neural network (DNN) model trained on labeled real image data for a downstream vision task, obtaining a second DNN model trained on synthetic images created with random image parameter values for the downstream vision task, obtaining a third DNN model trained on the labeled real image data and the synthetic images for the downstream vision task, performing a forward pass execution of each model to generate a loss, backpropagating the loss to modify parameter values, and iterating the forward pass execution and backpropagating with images generated by the modified parameters to jointly train the models and optimize the parameters.Type: ApplicationFiled: July 23, 2019Publication date: January 28, 2021Inventors: Yuri Pekelny, Pedro Urbina Escos, Emanuel Shalev, Di Wang, Dimitrios Lymperopoulos
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Patent number: 9696802Abstract: In general, the short range wireless powered ring described herein pertains to a finger-worn ring. In one embodiment the ring has a small interaction area towards the palm of the hand that employs sensors to sense user input and can interpret this input and other data. For example, the ring can interpret user input as scroll and select input actions. The ring communicates user interactions and other data wirelessly using a low-power wireless solution. The ring contains a coil and other circuitry for energy harvesting from short range wireless enabled devices such as, for example, NFC enabled phones, while users interact with their devices. A built in rechargeable battery is used to store the scavenged energy. The ring may also contain physiological and inertial sensors. The ring can provide a readily available input device of small form factor that has an easily accessible energy source for ease of use.Type: GrantFiled: March 20, 2013Date of Patent: July 4, 2017Assignee: Microsoft Technology Licensing, LLCInventors: Nissanka Arachchige Bodhi Priyantha, Douglas Christopher Burger, Gerald Reuben DeJean, Jie Liu, Dimitrios Lymperopoulos, Deepak Ganesan
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Patent number: 9152726Abstract: A location-related entity ranking technique is described that allows a user see the ranking of location-related entities near a desired location in response to a query. The technique can leverage the searches performed by a community of mobile device users at a given location and at a given time to infer the location-related entities that are popular at this specific location and time window. The technique can also filter out or re-rank these location-related entities based on the personal preferences of the person that submits the query and group preferences of a group to which the user belongs. The personal preferences can also be context specific (i.e. different restaurant preferences for lunch and dinner times).Type: GrantFiled: December 1, 2010Date of Patent: October 6, 2015Assignee: Microsoft Technology Licensing, LLCInventors: Dimitrios Lymperopoulos, Jie Liu, Melissa Wood Dunn, Ashwini K. Varma, Fang Wang, Jen-Hsien Kenny Chien
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Publication number: 20140285416Abstract: In general, the short range wireless powered ring described herein pertains to a finger-worn ring. In one embodiment the ring has a small interaction area towards the palm of the hand that employs sensors to sense user input and can interpret this input and other data. For example, the ring can interpret user input as scroll and select input actions. The ring communicates user interactions and other data wirelessly using a low-power wireless solution. The ring contains a coil and other circuitry for energy harvesting from short range wireless enabled devices such as, for example, NFC enabled phones, while users interact with their devices. A built in rechargeable battery is used to store the scavenged energy. The ring may also contain physiological and inertial sensors. The ring can provide a readily available input device of small form factor that has an easily accessible energy source for ease of use.Type: ApplicationFiled: March 20, 2013Publication date: September 25, 2014Applicant: Microsoft CorporationInventors: Nissanka Arachchige Bodhi Priyantha, Douglas Christopher Burger, Gerald Reuben DeJean, Jie Liu, Dimitrios Lymperopoulos, Deepak Ganesan
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Patent number: 8706172Abstract: A “Communication Device with Energy Efficient Sensing” provides various techniques for enabling a variety of sensor-based applications and processes while conserving energy on mobile communications devices. More specifically, the Communication Device with Energy Efficient Sensing provides a novel sensing architecture for mobile communications devices where sampling and, in various embodiments, processing, of sensor data received from one or more sensors is offloaded to a dedicated low-power processor having the capability to interact with a primary processor of the communications device. Such sensors include, but are not limited to accelerometers, ambient light sensors, compasses, microphones, pressure sensors, touch sensors, low-power radio devices, etc. This approach enables the communications device to perform continuous sensing with a low power overhead.Type: GrantFiled: October 26, 2010Date of Patent: April 22, 2014Assignee: Miscrosoft CorporationInventors: Nissanka Arachchige Bodhi Priyantha, Jie Liu, Dimitrios Lymperopoulos
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Publication number: 20120284194Abstract: A “Portable Card Generator” is implemented within a portable device, such as a mobile phone, and provides various techniques for writing secure account information from user selected accounts to a “wildcard” having rewritable magnetic stripes, rewritable RFID tags, and/or rewritable smartcard circuitry. The account information is retrieved by the portable device from local or remote stores of user accounts. Once that account information is written, the wildcard is then available for immediate use for credit card or debit-type payments, loyalty card use, etc. Consequently, by providing a credit card sized object having a rewriteable magnetic stripe, RFID tag, and/or smartcard circuitry, in combination with account information for various credit cards, debit cards, consumer loyalty cards, insurance cards, ID cards or badges, etc., the user is no longer required to physically carry those cards in order to use the corresponding accounts within existing card-based infrastructures.Type: ApplicationFiled: May 3, 2011Publication date: November 8, 2012Applicant: MICROSOFT CORPORATIONInventors: Jie Liu, Nissanka Arachchige Bodhi Priyantha, Aman Kansal, Suman Nath, Dimitrios Lymperopoulos, Michel Goraczko
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Publication number: 20120151055Abstract: The subject disclosure is directed towards delivering information to mobile devices in an energy and bandwidth efficient manner by sending information only when the device user is likely to use the information. The information is delivered proactively based on user attention being paid to the device or the user's anticipated attention, corresponding to sensed state data and other state data. Also described is a proxy that interfaces with legacy information servers or the like, such as to emulate the mobile device, so that information delivery from such sources can be deferred until needed by the user. Device energy is conserved and user disruptions reduced by computing an inference as to when the user is likely to be interested in the communicated information, and downloading based upon the inference.Type: ApplicationFiled: December 11, 2010Publication date: June 14, 2012Applicant: Microsoft CorporationInventors: Aman Kansal, Jie Liu, Dimitrios Lymperopoulos
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Publication number: 20120143859Abstract: A location-related entity ranking technique is described that allows a user see the ranking of location-related entities near a desired location in response to a query. The technique can leverage the searches performed by a community of mobile device users at a given location and at a given time to infer the location-related entities that are popular at this specific location and time window. The technique can also filter out or re-rank these location-related entities based on the personal preferences of the person that submits the query and group preferences of a group to which the user belongs. The personal preferences can also be context specific (i.e. different restaurant preferences for lunch and dinner times).Type: ApplicationFiled: December 1, 2010Publication date: June 7, 2012Applicant: MICROSOFT CORPORATIONInventors: Dimitrios Lymperopoulos, Jie Liu, Melissa Wood Dunn, Ashwini K. Varma, Fang Wang, Jen-Hsien Kenny Chien
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Publication number: 20120100895Abstract: A “Communication Device with Energy Efficient Sensing” provides various techniques for enabling a variety of sensor-based applications and processes while conserving energy on mobile communications devices. More specifically, the Communication Device with Energy Efficient Sensing provides a novel sensing architecture for mobile communications devices where sampling and, in various embodiments, processing, of sensor data received from one or more sensors is offloaded to a dedicated low-power processor having the capability to interact with a primary processor of the communications device. Such sensors include, but are not limited to accelerometers, ambient light sensors, compasses, microphones, pressure sensors, touch sensors, low-power radio devices, etc. This approach enables the communications device to perform continuous sensing with a low power overhead.Type: ApplicationFiled: October 26, 2010Publication date: April 26, 2012Applicant: MICROSOFT CORPORATIONInventors: Nissanka Arachchige Bodhi Priyantha, Jie Liu, Dimitrios Lymperopoulos
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Publication number: 20110313954Abstract: The present disclosure describes a community model based point of interest local search platform. Specifically, logs of users that store selections while accessing a point of interest application are loaded into a database. The logs are of users that have similar demographic or other community attributes. The logs are then mined for contextual parameters, including, but not limited to time of day, day of week, distance, activity, environment, popularity, and personal preferences. The point of interest selections are then mapped to a multi-dimensional map where each dimension corresponds to a contextual parameter. Clusters are evaluated by a classifier and classes of users of the community are identified. When a user then queries the community model based point of interest local search platform, contextual parameters are submitted with the query, relevant classes identified, and the corresponding point of interest information is displayed to the user.Type: ApplicationFiled: June 18, 2010Publication date: December 22, 2011Applicant: Microsoft CorporationInventors: Feng Zhao, Nicholas D. Lane, Dimitrios Lymperopoulos, Jing Zhao
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Patent number: 7636796Abstract: A smart interconnect for modular multi-component embedded devices is described. In an embodiment of a smart interconnect for modular multi-component embedded devices, a desired functionality of a stack of hardware boards is accessed. For example, a user may select a new functionality for the stack of hardware boards. The desired functionality is then transmitted to a board in the stack of hardware boards and the board is configured to implement the desired functionality of the stack of hardware boards.Type: GrantFiled: February 16, 2007Date of Patent: December 22, 2009Assignee: Microsoft CorporationInventors: Feng Zhao, Nissanka B. Priyantha, Dimitrios Lymperopoulos
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Publication number: 20080071934Abstract: A smart interconnect for modular multi-component embedded devices is described. In an embodiment of a smart interconnect for modular multi-component embedded devices, a desired functionality of a stack of hardware boards is accessed. For example, a user may select a new functionality for the stack of hardware boards. The desired functionality is then transmitted to a board in the stack of hardware boards and the board is configured to implement the desired functionality of the stack of hardware boards.Type: ApplicationFiled: February 16, 2007Publication date: March 20, 2008Applicant: Microsoft CorporationInventors: Feng Zhao, Nissanka Priyantha, Dimitrios Lymperopoulos