At the intersection of optics and deep learning: statistical inference, computing, and inverse design
Deep learning has been revolutionizing information processing in many fields of science
and engineering owing to the massively growing amounts of data and the advances in deep …
and engineering owing to the massively growing amounts of data and the advances in deep …
Three-dimensional shape reconstruction from single-shot speckle image using deep convolutional neural networks
Abstract Three-dimensional (3D) shape reconstruction from a monocular two-dimensional
(2D) image has emerged as a highly demanded tool in many applications. This paper …
(2D) image has emerged as a highly demanded tool in many applications. This paper …
Deep learning based inverse model for building fire source location and intensity estimation
Effective fire detection provides early warnings and key information for first responders and
people trapped insides. The idea of integrating sensor data and fire modeling presents a …
people trapped insides. The idea of integrating sensor data and fire modeling presents a …
[HTML][HTML] Diffractive interconnects: all-optical permutation operation using diffractive networks
Permutation matrices form an important computational building block frequently used in
various fields including, eg, communications, information security, and data processing …
various fields including, eg, communications, information security, and data processing …
[HTML][HTML] Automatic handgun detection with deep learning in video surveillance images
There is a great need to implement preventive mechanisms against shootings and terrorist
acts in public spaces with a large influx of people. While surveillance cameras have become …
acts in public spaces with a large influx of people. While surveillance cameras have become …
A motion induced passive infrared (PIR) sensor for stationary human occupancy detection
J Andrews, M Kowsika, A Vakil… - 2020 IEEE/ION position …, 2020 - ieeexplore.ieee.org
Passive Infrared (PIR) sensors are commonly used in indoor applications to detect human
presence. PIR sensors detect human presence by detecting the change in infrared radiation …
presence. PIR sensors detect human presence by detecting the change in infrared radiation …
Fast vehicle and pedestrian detection using improved Mask R‐CNN
C Xu, G Wang, S Yan, J Yu, B Zhang… - Mathematical …, 2020 - Wiley Online Library
This study presents a simple and effective Mask R‐CNN algorithm for more rapid detection
of vehicles and pedestrians. The method is of practical value for anticollision warning …
of vehicles and pedestrians. The method is of practical value for anticollision warning …
[HTML][HTML] Accurate 3D shape reconstruction from single structured-light image via fringe-to-fringe network
Accurate three-dimensional (3D) shape reconstruction of objects from a single image is a
challenging task, yet it is highly demanded by numerous applications. This paper presents a …
challenging task, yet it is highly demanded by numerous applications. This paper presents a …
Unconventional protocol for SAW sensor: multi-physic response enrichment in liquid medium
This paper presents a new paradigm in the analysis and methodology for Surface Acoustic
Wave (SAW) devices for sensing application in a liquid medium. This new protocol …
Wave (SAW) devices for sensing application in a liquid medium. This new protocol …
Non-contact measurement of human respiration using an infrared thermal camera and the deep learning method
S Shu, H Liang, Y Zhang, Y Zhang… - … Science and Technology, 2022 - iopscience.iop.org
The existing methods of contact respiration rate (RR) measurement can bring discomfort to
the person being measured. However, RR is a human index that has to be monitored in …
the person being measured. However, RR is a human index that has to be monitored in …