Stanley J Baran

20210264163, Aug 26, 2021

Feb 11, 2021

17/173732

- Santa Clara CA, US
Barnan Das - San Jose CA, US
Narayan Biswal - Folsom CA, US
Stanley J. Baran - Elk Grove CA, US
Gokcen Cilingir - Sunnyvale CA, US
Nilesh V. Shah - Folsom CA, US
Archie Sharma - Folsom CA, US
Sherine Abdelhak - Beaverton CA, US
Sachin Godse - Porland OR, US
Farshad Akhbari - Chandler AZ, US
Narayan Srinivasa - Portland OR, US
Altug Koker - El Dorado Hills CA, US
Nadathur Rajagopalan Satish - Santa Clara CA, US
Dukhwan Kim - San Jose CA, US
Feng Chen - Shanghai, CN
Abhishek R. Appu - El Dorado HIlls CA, US
Joydeep Ray - Folsom CA, US
Ping T. Tang - Edison NJ, US
Michael S. Strickland - Sunnyvale CA, US
Xiaoming Chen - Shanghai, CN
Anbang Yao - Anbang, CN
Tatiana Shpeisman - Menlo Park CA, US
Vasanth Ranganathan - El Dorado Hills CA, US
Sanjeev Jahagirdar - Folsom CA, US

Intel Corporation - Santa Clara CA

G06K 9/00
G06T 1/20
G06N 3/04
G06N 3/08
G06N 3/063

A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.

20200210472, Jul 2, 2020

Nov 26, 2019

16/696854

- Santa Clara CA, US
MAYURESH M. VARERKAR - San Jose CA, US
NARAYAN BISWAL - Folsom CA, US
STANLEY J. BARAN - Elk Grove CA, US
GOKCEN CILINGIR - Sunnyvale CA, US
NILESH V. SHAH - Folsom CA, US
ARCHIE SHARMA - Folsom CA, US
SHERINE ABDELHAK - Beaverton OR, US
PRANEETHA KOTHA - Atlanta GA, US
NEELAY PANDIT - Beaverton OR, US
JOHN C. WEAST - Portland OR, US
MIKE B. MACPHERSON - Portland OR, US
DUKHWAN KIM - San Jose CA, US
LINDA L. HURD - Cool CA, US
ABHISHEK R. APPU - El Dorado Hills CA, US
ALTUG KOKER - El Dorado Hills CA, US
JOYDEEP RAY - Folsom CA, US

Intel Corporation - Santa Clara CA

G06F 16/583
G06F 16/783
G06K 9/00
G06K 9/62

A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.

20200043121, Feb 6, 2020

Jul 31, 2018

16/050431

- Santa Clara CA, US
Sang-hee Lee - San Jose CA, US
Scott Janus - Loomis CA, US
Stanley Baran - Chandler AZ, US
Michael Apodaca - Folsom CA, US
Prasoonkumar Surti - Folsom CA, US
Srikanth Potluri - Folsom CA, US
Atsuo Kuwahara - Portland OR, US
Kai Xiao - San Jose CA, US
Jason Tanner - Folsom CA, US
Gokcen Cilingir - San Jose CA, US
Archie Sharma - Folsom CA, US
Jeffrey Tripp - Hillsboro OR, US
Jason Ross - Folsom CA, US
Barnan Das - Newark CA, US

Intel Corporation - Santa Clara CA

G06T 1/20
G06T 7/20
G06T 15/00
G06T 5/20
H04N 19/517
H04N 19/523

An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to decode occupancy map data and auxiliary patch information and generate a plurality of patch video frames based on patch data decoded from the occupancy map data and auxiliary patch information, and a memory communicatively coupled to the one or more processors.

20200043182, Feb 6, 2020

Jul 31, 2018

16/050468

- Santa Clara CA, US
Barnan Das - Newark CA, US
Hugues Labbe - Granite Bay CA, US
Jong Dae Oh - San Jose CA, US
Gokcen Cilingir - San Jose CA, US
James Holland - Folsom CA, US
Narayan Biswal - Folsom CA, US
Yi-Jen Chiu - San Jose CA, US
Qian Xu - Folsom CA, US
Mayuresh Varerkar - Folsom CA, US
Sang-Hee Lee - San Jose CA, US
Stanley Baran - Chandler AZ, US
Srikanth Potluri - Folsom CA, US
Jason Ross - Folsom CA, US
Maruthi Sandeep Maddipatla - Sacramento CA, US

Intel Corporation - Santa Clara CA

G06T 7/262
G06T 3/40
G06T 7/30
G06T 15/08
G06T 17/00

Embodiments described herein provide an apparatus comprising a processor to divide a first point cloud data set frame representing a three dimensional space at a first point in time into a matrix of blocks, determine at least one three dimensional (3D) motion vector for at least a subset of blocks in the matrix of blocks, generate a predicted second point cloud data set frame representing a prediction of the three dimensional space at a second point in time by applying the at least one 3D motion vector to the subset of blocks in the matrix of blocks, compare the predicted second point cloud data set frame to a second point cloud data set frame representing a prediction of the three dimensional space at a second point in time to generate a prediction error parameter, and encode the second point cloud data set frame as a function of the first point cloud data set frame and the at least one three dimensional (3D) motion vector when the prediction error factor is beneath an error threshold to produce an encoded second point cloud data set frame. Other embodiments may be described and claimed.

20190332869, Oct 31, 2019

Apr 9, 2019

16/379176

- Santa Clara CA, US
BARNAN DAS - SAN JOSE CA, US
NARAYAN BISWAL - FOLSOM CA, US
STANLEY J. BARAN - ELK GROVE CA, US
GOKCEN CILINGIR - SUNNYVALE CA, US
NILESH V. SHAH - FOLSOM CA, US
ARCHIE SHARMA - FOLSOM CA, US
SHERINE ABDELHAK - BEAVERTON CA, US
SACHIN GODSE - PORTLAND OR, US
FARSHAD AKHBARI - CHANDLER AZ, US
NARAYAN SRINIVASA - PORTLAND OR, US
ALTUG KOKER - EL DORADO HILLS CA, US
NADATHUR RAJAGOPALAN SATISH - SANTA CLARA CA, US
DUKHWAN KIM - SAN JOSE CA, US
FENG CHEN - SHANGHAI, CN
ABHISHEK R. APPU - EL DORADO HILLS CA, US
JOYDEEP RAY - FOLSOM CA, US
PING T. TANG - EDISON NJ, US
MICHAEL S. STRICKLAND - SUNNYVALE CA, US
XIAOMING CHEN - SHANGHAI, CN
ANBANG YAO - ANBANG, CN
TATIANA SHPEISMAN - MENLO PARK CA, US
VASANTH RANGANATHAN - EL DORADO HILLS CA, US
SANJEEV JAHAGIRDAR - FOLSOM CA, US

Intel Corporation - Santa Clara CA

G06K 9/00
G06N 3/063
G06T 1/20
G06N 3/08
G06N 3/04

A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.

20190095703, Mar 28, 2019

Sep 6, 2018

16/123842

- Santa Clara CA, US
Mayuresh M. Varerkar - San Jose CA, US
Narayan Biswal - Folsom CA, US
Stanley J. Baran - Elk Grove CA, US
Gokcen Cilingir - Sunnyvale CA, US
Nilesh V. Shah - Folsom CA, US
Archie Sharma - Folsom CA, US
Sherine Abdelhak - Beaverton OR, US
Praneetha Kotha - Santa Clara CA, US
Neelay Pandit - Beaverton OR, US
John C. Weast - Portland OR, US
Mike B. Macpherson - Portland OR, US
Dukhwan Kim - San Jose CA, US
Linda L. Hurd - Cool CA, US
Abhishek R. Appu - El Dorado Hills CA, US
Altug Koker - El Dorado Hills CA, US
Joydeep Ray - Folsom CA, US

Intel Corporation - Santa Clara CA

G06K 9/00
G06F 17/30
G06K 9/62
G06T 7/70

A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.

20180307899, Oct 25, 2018

Apr 24, 2017

15/495327

- Santa Clara CA, US
MAYURESH M. VARERKAR - SAN JOSE CA, US
NARAYAN BISWAL - FOLSOM CA, US
STANLEY J. BARAN - ELK GROVE CA, US
GOKCEN CILINGIR - SUNNYVALE CA, US
NILESH V. SHAH - FOLSOM CA, US
ARCHIE SHARMA - FOLSOM CA, US
SHERINE ABDELHAK - BEAVERTON OR, US
Praneetha Kotha - Santa Clara CA, US
Neelay Pandit - Beaverton OR, US
John C. Weast - Portland OR, US
Mike B. Macpherson - Portland OR, US
Dukhwan Kim - San Jose CA, US
Linda L. Hurd - Cool CA, US
Abhishek R. Appu - El Dorado Hills CA, US
Altug Koker - El Dorado Hills CA, US
Joydeep Ray - Folsom CA, US

Intel Corproation - Santa Clara CA

G06K 9/00
G06K 9/62
G06T 7/70
G06F 17/30

A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.

20180307981, Oct 25, 2018

Apr 24, 2017

15/494826

- Santa Clara CA, US
Rajkishore Barik - Santa Clara CA, US
Kevin Nealis - San Jose CA, US
Xiaoming Chen - Shanghai, CN
Justin E. Gottschlich - Santa Clara CA, US
Prasoonkumar Surti - Folsom CA, US
Chandrasekaran Sakthivel - Sunnyvale CA, US
Abhishek R. Appu - El Dorado Hills CA, US
John C. Weast - Portland OR, US
Sara S. Baghsorkhi - San Jose CA, US
Barnan Das - San Jose CA, US
Narayan Biswal - Folsom CA, US
Stanley J. Baran - Elk Grove CA, US
Nilesh Shah - Folsom CA, US
Archie Sharma - Folsom CA, US
Mayuresh M. Varerkar - Folsom CA, US

G06N 3/08
G06N 3/04

An apparatus to facilitate neural network (NN) training is disclosed. The apparatus includes training logic to receive one or more network constraints and train the NN by automatically determining a best network layout and parameters based on the network constraints.