Inventor

YAO ANBANG

CN115 patents

Patents

50 patents

US9361510B2Jun 7, 2016

Instructions and logic to perform floating point and integer operations for machine learning

INTEL CORP39 citations98

US11169799B2Nov 9, 2021

Instructions and logic to perform floating-point and integer operations for machine learning

INTEL CORP36 citations98

US11080046B2Aug 3, 2021

Instructions and logic to perform floating point and integer operations for machine learning

INTEL CORP38 citations98

US10474458B2Nov 12, 2019

Instructions and logic to perform floating-point and integer operations for machine learning

INTEL CORP46 citations98

US10409614B2Sep 10, 2019

Instructions having support for floating point and integer data types in the same register

INTEL CORP40 citations98

US10353706B2Jul 16, 2019

Instructions and logic to perform floating-point and integer operations for machine learning

INTEL CORP47 citations98

US10186011B2Jan 22, 2019

Programmable coarse grained and sparse matrix compute hardware with advanced scheduling

INTEL CORP37 citations98

US11244191B2Feb 8, 2022

Region proposal for image regions that include objects of interest using feature maps from multiple layers of a convolutional neural network model

INTEL CORP23 citations94

US10242423B2Mar 26, 2019

Compute optimizations for low precision machine learning operations

INTEL CORP11 citations92

US11210760B2Dec 28, 2021

Programmable coarse grained and sparse matrix compute hardware with advanced scheduling

INTEL CORP9 citations86

US11188794B2Nov 30, 2021

Convolutional neural network framework using reverse connections and objectness priors for object detection

INTEL CORP15 citations85

US11106896B2Aug 31, 2021

Methods and apparatus for multi-task recognition using neural networks

INTEL CORP10 citations85

US11074072B2Jul 27, 2021

Compute optimizations for neural networks using bipolar binary weight

INTEL CORP6 citations84

US10929977B2Feb 23, 2021

Coupled multi-task fully convolutional networks using multi-scale contextual information and hierarchical hyper-features for semantic image segmentation

INTEL CORP7 citations84

US10853906B2Dec 1, 2020

Compute optimizations for low precision machine learning operations

INTEL CORP3 citations84

US10824938B2Nov 3, 2020

Specialized fixed function hardware for efficient convolution

INTEL CORP7 citations84

US10726514B2Jul 28, 2020

Compute optimizations for low precision machine learning operations

INTEL CORP5 citations84

US10528839B2Jan 7, 2020

Combinatorial shape regression for face alignment in images

INTEL CORP7 citations84

US10410098B2Sep 10, 2019

Compute optimizations for neural networks

INTEL CORP5 citations84

US10380414B2Aug 13, 2019

Method and system of facial expression recognition using linear relationships within landmark subsets

INTEL CORP7 citations84

US10303953B2May 28, 2019

Person tracking and privacy and acceleration of data using autonomous machines

INTEL CORP6 citations84

US10255656B2Apr 9, 2019

Compute optimization mechanism

INTEL CORP7 citations84

US12175252B2Dec 24, 2024

Concurrent multi-datatype execution within a processing resource

INTEL CORP3 citations75

US11797837B2Oct 24, 2023

Dynamic distributed training of machine learning models

INTEL CORP4 citations75

US11704569B2Jul 18, 2023

Methods and apparatus for enhancing a binary weight neural network using a dependency tree

INTEL CORP4 citations75

US11308675B2Apr 19, 2022

3D facial capture and modification using image and temporal tracking neural networks

INTEL CORP6 citations75

US12412370B2Sep 9, 2025

Method and system of image hashing object detection for image processing

INTEL CORP2 citations74

US11972545B2Apr 30, 2024

Apparatus and method of guided neural network model for image processing

INTEL CORP4 citations74

US11727246B2Aug 15, 2023

Convolutional neural network optimization mechanism

INTEL CORP4 citations74

US12141578B2Nov 12, 2024

Instructions and logic to perform floating point and integer operations for machine learning

INTEL CORP2 citations73

US12124533B2Oct 22, 2024

Method and apparatus of spatially sparse convolution module for visual rendering and synthesis

INTEL CORP2 citations73

US12050984B2Jul 30, 2024

Specialized fixed function hardware for efficient convolution

INTEL CORP1 citations73

US11693658B2Jul 4, 2023

Compute optimizations for neural networks using ternary weight

INTEL CORP1 citations73

US11669718B2Jun 6, 2023

Methods and apparatus for discriminative semantic transfer and physics-inspired optimization of features in deep learning

INTEL CORP2 citations73

US11640526B2May 2, 2023

Methods and apparatus for enhancing a neural network using binary tensor and scale factor pairs

INTEL CORP3 citations73

US11461105B2Oct 4, 2022

Methods and apparatus for deep learning network execution pipeline on multi-processor platform

INTEL CORP2 citations73

US11393211B2Jul 19, 2022

Hybrid graphics processor-field programmable gate array system

INTEL CORP1 citations73

US11308574B2Apr 19, 2022

Compute optimizations for low precision machine learning operations

INTEL CORP1 citations73

US11157764B2Oct 26, 2021

Semantic image segmentation using gated dense pyramid blocks

INTEL CORP2 citations73

US11157727B2Oct 26, 2021

Key-point guided human attribute recognition using statistic correlation models

INTEL CORP3 citations73

US11151361B2Oct 19, 2021

Dynamic emotion recognition in unconstrained scenarios

INTEL CORP2 citations73

US11080811B2Aug 3, 2021

Compute optimization mechanism

INTEL CORP1 citations73

US11010659B2May 18, 2021

Dynamic precision for neural network compute operations

INTEL CORP2 citations73

US10878612B2Dec 29, 2020

Facial image replacement using 3-dimensional modelling techniques

INTEL CORP4 citations73

US10769748B2Sep 8, 2020

Programmable coarse grained and sparse matrix compute hardware with advanced scheduling

INTEL CORP3 citations73

US10685262B2Jun 16, 2020

Object recognition based on boosting binary convolutional neural network features

INTEL CORP2 citations73

US11803739B2Oct 31, 2023

Methods and systems for budgeted and simplified training of deep neural networks

INTEL CORP3 citations72

Showing the top 50 of 115 patents by PatentIndex Score.

YAO ANBANG

Patents

Efficient facial landmark tracking using online shape regression method

Compute unit having independent data paths

Mixed inference using low and high precision

Instructions and logic to perform floating point and integer operations for machine learning

Instructions and logic to perform floating-point and integer operations for machine learning

Instructions and logic to perform floating point and integer operations for machine learning

Instructions and logic to perform floating-point and integer operations for machine learning

Instructions having support for floating point and integer data types in the same register

Instructions and logic to perform floating-point and integer operations for machine learning

Programmable coarse grained and sparse matrix compute hardware with advanced scheduling

Region proposal for image regions that include objects of interest using feature maps from multiple layers of a convolutional neural network model

Compute optimizations for low precision machine learning operations

Programmable coarse grained and sparse matrix compute hardware with advanced scheduling

Convolutional neural network framework using reverse connections and objectness priors for object detection

Methods and apparatus for multi-task recognition using neural networks

Compute optimizations for neural networks using bipolar binary weight

Coupled multi-task fully convolutional networks using multi-scale contextual information and hierarchical hyper-features for semantic image segmentation

Compute optimizations for low precision machine learning operations

Specialized fixed function hardware for efficient convolution

Compute optimizations for low precision machine learning operations

Combinatorial shape regression for face alignment in images

Compute optimizations for neural networks

Method and system of facial expression recognition using linear relationships within landmark subsets

Person tracking and privacy and acceleration of data using autonomous machines

Compute optimization mechanism

Concurrent multi-datatype execution within a processing resource

Dynamic distributed training of machine learning models

Methods and apparatus for enhancing a binary weight neural network using a dependency tree

3D facial capture and modification using image and temporal tracking neural networks

Method and system of image hashing object detection for image processing

Apparatus and method of guided neural network model for image processing

Convolutional neural network optimization mechanism

Instructions and logic to perform floating point and integer operations for machine learning

Method and apparatus of spatially sparse convolution module for visual rendering and synthesis

Specialized fixed function hardware for efficient convolution

Compute optimizations for neural networks using ternary weight

Methods and apparatus for discriminative semantic transfer and physics-inspired optimization of features in deep learning

Methods and apparatus for enhancing a neural network using binary tensor and scale factor pairs

Methods and apparatus for deep learning network execution pipeline on multi-processor platform

Hybrid graphics processor-field programmable gate array system

Compute optimizations for low precision machine learning operations

Semantic image segmentation using gated dense pyramid blocks

Key-point guided human attribute recognition using statistic correlation models

Dynamic emotion recognition in unconstrained scenarios

Compute optimization mechanism

Dynamic precision for neural network compute operations

Facial image replacement using 3-dimensional modelling techniques

Programmable coarse grained and sparse matrix compute hardware with advanced scheduling

Object recognition based on boosting binary convolutional neural network features

Methods and systems for budgeted and simplified training of deep neural networks