activity
20162023
most citedFringe pattern analysis using deep learning

450 citations · 463 across the 10 of their papers we have counts for

collaborators

10 papers

eess.IV2023

Twofold Structured Features-Based Siamese Network for Infrared Target Tracking

Wei-Jie Yan, Yun-Kai Xu, Qian Chen +4

Nowadays, infrared target tracking has been a critical technology in the field of computer vision and has many applications, such as motion analysis, pedestrian surveillance, intel…

physics.optics2022★ 1 cited

Dynamic mutation enhanced greedy strategy for wavefront shaping

Chuncheng Zhang, Xiubao Sui, Zheyi Yao +5

Optical focusing through scattering media has important implications for optical applications in medicine, communications, and detection. In recent years, many wavefront shaping me…

physics.optics2022

Fast optical refocusing through multimode fiber bend using Cake-Cutting Hadamard encoding algorithm to improve robustness

Chuncheng Zhang, Zheyi Yao, Zhengyue Qin +5

Multimode fibres offer the advantages of high resolution and miniaturization over single mode fibers in the field of optical imaging. However, multimode fibre's imaging is suscepti…

cs.CV2020

Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity

Qinyan Huang, Weiwen Zhou, Minjie Wan +3

Infrared (IR) image segmentation is essential in many urban defence applications, such as pedestrian surveillance, vehicle counting, security monitoring, etc. Active contour model…

cs.CV2020

Infrared target tracking based on proximal robust principal component analysis method

Chao Ma, Guohua Gu, Xin Miao +4

Infrared target tracking plays an important role in both civil and military fields. The main challenges in designing a robust and high-precision tracker for infrared sequences incl…

cs.CV2018★ 11 cited

Thermal Infrared Colorization via Conditional Generative Adversarial Network

Xiaodong Kuang, Xiubao Sui, Chengwei Liu +3

Transforming a thermal infrared image into a realistic RGB image is a challenging task. In this paper we propose a deep learning method to bridge this gap. We propose learning the…

eess.IV2018★ 450 cited

Fringe pattern analysis using deep learning

Shijie Feng, Qian Chen, Guohua Gu +5

In many optical metrology techniques, fringe pattern analysis is the central algorithm for recovering the underlying phase distribution from the recorded fringe patterns. Despite e…

cs.CV2017

Adaptive compressed 3D imaging based on wavelet trees and Hadamard multiplexing with a single photon counting detector

Huidong Dai, Weiji He, Guohua Gu +3

Photon counting 3D imaging allows to obtain 3D images with single-photon sensitivity and sub-ns temporal resolution. However, it is challenging to scale to high spatial resolution.…

physics.ins-det2017★ 1 cited

Fast Depth Imaging Denoising with the Temporal Correlation of Photons

Zhenchao Feng, Weiji He, Jian Fang +6

This paper proposes a novel method to filter out the false alarm of LiDAR system by using the temporal correlation of target reflected photons. Because of the inevitable noise, whi…

physics.optics2016

Adaptive Depth Imaging with Single-Photon Detectors

Weiji He, Zhenchao Feng, Jie Lin +5

For active optical imaging, the use of single-photon detectors can greatly improve the detection sensitivity of the system. However, the traditional maximum-likelihood based imagin…