Inventor
MICHAEL GILAD
US17 patents
⚠️ This page may combine multiple inventors who share the name “MICHAEL GILAD”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.
INTEL CORP
16 patentsUS11386293B2Jul 12, 2022
Training image signal processors using intermediate loss functions
INTEL CORP2 citations71
US10796200B2Oct 6, 2020
Training image signal processors using intermediate loss functions
INTEL CORP3 citations71
US9489720B2Nov 8, 2016
Non-local means image denoising with detail preservation using self-similarity driven blending
INTEL CORP3 citations71
US11699217B2Jul 11, 2023
Generating gaze corrected images using bidirectionally trained network
INTEL CORP2 citations70
US11024002B2Jun 1, 2021
Generating gaze corrected images using bidirectionally trained network
INTEL CORP3 citations70
US10885384B2Jan 5, 2021
Local tone mapping to reduce bit depth of input images to high-level computer vision tasks
INTEL CORP5 citations69
US10755425B2Aug 25, 2020
Automatic tuning of image signal processors using reference images in image processing environments
INTEL CORP6 citations69
US9697796B2Jul 4, 2017
Adaptive linear luma domain video pipeline architecture
INTEL CORP4 citations68
US10210180B2Feb 19, 2019
Hybrid nearest neighbor search tree with hashing table
INTEL CORP3 citations65
US10296605B2May 21, 2019
Dictionary generation for example based image processing
INTEL CORP1 citations59
US11409986B2Aug 9, 2022
Trainable vision scaler
INTEL CORP0 citations56
US11868892B2Jan 9, 2024
Partially-frozen neural networks for efficient computer vision systems
INTEL CORP1 citations55
US11880763B2Jan 23, 2024
Partially-frozen neural networks for efficient computer vision systems
INTEL CORP0 citations53
US11302035B2Apr 12, 2022
Processing images using hybrid infinite impulse response (TTR) and finite impulse response (FIR) convolution block
INTEL CORP1 citations51
US9678749B2Jun 13, 2017
Instruction and logic for shift-sum multiplier
INTEL CORP0 citations50
US11625559B2Apr 11, 2023
Attenuating visual artifacts of image processing systems using adversarial networks on-the-fly
INTEL CORP0 citations43