Patents by Inventor Ibrahima J. Ndiour

Ibrahima J. Ndiour 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).

  • Publication number: 20210266145
    Abstract: In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of devices. The processor is to: receive compressed data from a first device, wherein the compressed data is associated with visual data captured by sensor(s); perform a current stage of processing on the compressed data using a current CNN, wherein the current stage of processing corresponds to one of a plurality of processing stages associated with the visual data, and wherein the current CNN corresponds to one of a plurality of CNNs associated with the plurality of processing stages; obtain an output associated with the current stage of processing; determine, based on the output, whether processing associated with the visual data is complete; if the processing is complete, output a result associated with the visual data; if the processing is incomplete, transmit the compressed data to a second device.
    Type: Application
    Filed: October 2, 2020
    Publication date: August 26, 2021
    Applicant: Intel Corporation
    Inventors: Yen-Kuang Chen, Shao-Wen Yang, Ibrahima J. Ndiour, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Srenivas Varadarajan
  • Publication number: 20210243012
    Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.
    Type: Application
    Filed: September 11, 2020
    Publication date: August 5, 2021
    Applicant: Intel Corporation
    Inventors: Yen-Kuang Chen, Shao-Wen Yang, Ibrahima J. Ndiour, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Srenivas Varadarajan
  • Publication number: 20210194674
    Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device may store a plurality of compressed images comprising one or more compressed master images and one or more compressed slave images.
    Type: Application
    Filed: August 7, 2020
    Publication date: June 24, 2021
    Applicant: Intel Corporation
    Inventors: Yen-Kuang Chen, Shao-Wen Yang, Ibrahima J. Ndiour, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Srenivas Varadarajan
  • Publication number: 20200326667
    Abstract: Techniques are disclosed for using neural network architectures to estimate predictive uncertainty measures, which quantify how much trust should be placed in the deep neural network (DNN) results. The techniques include measuring reliable uncertainty scores for a neural network, which are widely used in perception and decision-making tasks in automated driving. The uncertainty measurements are made with respect to both model uncertainty and data uncertainty, and may implement Bayesian neural networks or other types of neural networks.
    Type: Application
    Filed: June 24, 2020
    Publication date: October 15, 2020
    Inventors: Nilesh Ahuja, Ignacio J. Alvarez, Ranganath Krishnan, Ibrahima J. Ndiour, Mahesh Subedar, Omesh Tickoo
  • Patent number: 10797863
    Abstract: In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of devices. The processor is to: receive compressed data from a first device, wherein the compressed data is associated with visual data captured by sensor(s); perform a current stage of processing on the compressed data using a current CNN, wherein the current stage of processing corresponds to one of a plurality of processing stages associated with the visual data, and wherein the current CNN corresponds to one of a plurality of CNNs associated with the plurality of processing stages; obtain an output associated with the current stage of processing; determine, based on the output, whether processing associated with the visual data is complete; if the processing is complete, output a result associated with the visual data; if the processing is incomplete, transmit the compressed data to a second device.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: October 6, 2020
    Assignee: Intel Corporation
    Inventors: Yen-Kuang Chen, Shao-Wen Yang, Ibrahima J. Ndiour, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Srenivas Varadarajan
  • Patent number: 10778412
    Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: September 15, 2020
    Assignee: Intel Corporation
    Inventors: Yen-Kuang Chen, Shao-Wen Yang, Ibrahima J. Ndiour, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Srenivas Varadarajan
  • Patent number: 10742399
    Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device may store a plurality of compressed images comprising one or more compressed master images and one or more compressed slave images.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: August 11, 2020
    Assignee: Intel Corporation
    Inventors: Yen-Kuang Chen, Shao-Wen Yang, Ibrahima J. Ndiour, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Srenivas Varadarajan
  • Publication number: 20200250003
    Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph.
    Type: Application
    Filed: June 29, 2018
    Publication date: August 6, 2020
    Applicant: Intel Corporation
    Inventors: Shao-Wen Yang, Yen-Kuang Chen, Ragaad Mohammed Irsehid Altarawneh, Juan Pablo Munoz Chiabrando, Siew Wen Chin, Kushal Datta, Subramanya R. Dulloor, Julio C. Zamora Esquivel, Omar Ulises Florez Choque, Vishakha Gupta, Scott D. Hahn, Rameshkumar Illikkal, Nilesh Kumar Jain, Siti Khairuni Amalina Kamarol, Anil S. Keshavamurthy, Heng Kar Lau, Jonathan A. Lefman, Yiting Liao, Michael G. Millsap, Ibrahima J. Ndiour, Luis Carlos Maria Remis, Addicam V. Sanjay, Usman Sarwar, Eve M. Schooler, Ned M. Smith, Vallabhajosyula S. Somayazulu, Christina R. Strong, Omesh Tickoo, Srenivas Varadarajan, Jesús A. Cruz Vargas, Hassnaa Moustafa, Arun Raghunath, Katalin Klara Bartfai-Walcott, Maruti Gupta Hyde, Deepak S. Vembar, Jessica McCarthy
  • Patent number: 10582196
    Abstract: An example apparatus for encoding video frames includes a receiver to receive events from a dynamic vision sensor and a video frame from an image sensor. The apparatus also includes a heat map generator to generate a heat map based on the received events. The apparatus further includes a region of interest (ROI) map generator generate a ROI map based on the heat map. The apparatus includes a parameter adjuster to adjust an encoding parameter based on the ROI map. The apparatus also further includes a video encoder to encode the video frame using the adjusted parameter.
    Type: Grant
    Filed: June 30, 2017
    Date of Patent: March 3, 2020
    Assignee: Intel Corporation
    Inventors: Javier Perez-Ramirez, Srenivas Varadarajan, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Ibrahima J. Ndiour
  • Publication number: 20190327486
    Abstract: In one embodiment, an apparatus comprises processing circuitry to: receive, via a communication interface, a compressed video stream captured by a camera, wherein the compressed video stream comprises: a first compressed frame; and a second compressed frame, wherein the second compressed frame is compressed based at least in part on the first compressed frame, and wherein the second compressed frame comprises a plurality of motion vectors; decompress the first compressed frame into a first decompressed frame; perform pixel-domain object detection to detect an object at a first position in the first decompressed frame; and perform compressed-domain object detection to detect the object at a second position in the second compressed frame, wherein the object is detected at the second position in the second compressed frame based on: the first position of the object in the first decompressed frame; and the plurality of motion vectors from the second compressed frame.
    Type: Application
    Filed: June 28, 2019
    Publication date: October 24, 2019
    Inventors: Yiting Liao, Yen-Kuang Chen, Shao-Wen Yang, Vallabhajosyula S. Somayazulu, Srenivas Varadarajan, Omesh Tickoo, Ibrahima J. Ndiour
  • Patent number: 10349060
    Abstract: An example apparatus for encoding video frames includes a receiver to receive video frames and a heat map from a camera and expected object regions from a video database. The apparatus also includes a region of interest (ROI) map generator to detect a region of interest in a video frame based on the expected object regions. The ROI map generator can also detect a region of interest in the video frame based on the heat map. The ROI map generator can then generate an ROI map based on the detected regions of interest. The apparatus further includes a parameter adjuster to adjust an encoding parameter based on the ROI map. The apparatus also further includes a video encoder to encode the video frame using the adjusted encoding parameter.
    Type: Grant
    Filed: June 30, 2017
    Date of Patent: July 9, 2019
    Assignee: Intel Corporation
    Inventors: Srenivas Varadarajan, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Ibrahima J. Ndiour, Javier Perez-Ramirez
  • Publication number: 20190045207
    Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device may store a plurality of compressed images comprising one or more compressed master images and one or more compressed slave images.
    Type: Application
    Filed: June 29, 2018
    Publication date: February 7, 2019
    Inventors: Yen-Kuang Chen, Shao-Wen Yang, Ibrahima J. Ndiour, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Srenivas Varadarajan
  • Publication number: 20190042870
    Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.
    Type: Application
    Filed: June 29, 2018
    Publication date: February 7, 2019
    Inventors: Yen-Kuang Chen, Shao-Wen Yang, Ibrahima J. Ndiour, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Srenivas Varadarajan
  • Publication number: 20190042867
    Abstract: In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of devices. The processor is to: receive compressed data from a first device, wherein the compressed data is associated with visual data captured by sensor(s); perform a current stage of processing on the compressed data using a current CNN, wherein the current stage of processing corresponds to one of a plurality of processing stages associated with the visual data, and wherein the current CNN corresponds to one of a plurality of CNNs associated with the plurality of processing stages; obtain an output associated with the current stage of processing; determine, based on the output, whether processing associated with the visual data is complete; if the processing is complete, output a result associated with the visual data; if the processing is incomplete, transmit the compressed data to a second device.
    Type: Application
    Filed: June 29, 2018
    Publication date: February 7, 2019
    Inventors: Yen-Kuang Chen, Shao-Wen Yang, Ibrahima J. Ndiour, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Srenivas Varadarajan
  • Publication number: 20190007690
    Abstract: An example apparatus for encoding video frames includes a receiver to receive video frames and a heat map from a camera and expected object regions from a video database. The apparatus also includes a region of interest (ROI) map generator to detect a region of interest in a video frame based on the expected object regions. The ROI map generator can also detect a region of interest in the video frame based on the heat map. The ROI map generator can then generate an ROI map based on the detected regions of interest. The apparatus further includes a parameter adjuster to adjust an encoding parameter based on the ROI map. The apparatus also further includes a video encoder to encode the video frame using the adjusted encoding parameter.
    Type: Application
    Filed: June 30, 2017
    Publication date: January 3, 2019
    Applicant: INTEL CORPORATION
    Inventors: Srenivas Varadarajan, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Ibrahima J. Ndiour, Javier Perez-Ramirez
  • Publication number: 20190007678
    Abstract: An example apparatus for encoding video frames includes a receiver to receive events from a dynamic vision sensor and a video frame from an image sensor. The apparatus also includes a heat map generator to generate a heat map based on the received events. The apparatus further includes a region of interest (ROI) map generator generate a ROI map based on the heat map. The apparatus includes a parameter adjuster to adjust an encoding parameter based on the ROI map. The apparatus also further includes a video encoder to encode the video frame using the adjusted parameter.
    Type: Application
    Filed: June 30, 2017
    Publication date: January 3, 2019
    Applicant: INTEL CORPORATION
    Inventors: Javier Perez-Ramirez, Srenivas Varadarajan, Yiting Liao, Vallabhajosyula S. Somayazulu, Omesh Tickoo, Ibrahima J. Ndiour