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John Dan's Projects

flatcamrbg-d icon flatcamrbg-d

code and data for paper Joint Image and Depth Estimation with Mask-Based Lensless Cameras

flatnet icon flatnet

This is the official pytorch code repo for the ICCV 2019 paper Towards Photorealistic Reconstruction of Highly Multiplexed Lensless Images and the TPAMI 2020 paper FlatNet: Towards Photorealistic Scene Reconstruction from Lensless Measurements

hardseed icon hardseed

SEX IS ZERO (0), so, who wanna be the ONE (1), aha?

java-1 icon java-1

存放JAVA开发的设计**、算法:《剑指Offer》、《编程珠玑》、《深入理解Java虚拟机:JVM高级特性与最佳实践》、《重构-改善既有代码的设计 中文版》、《clean_code(中文完整版)》、《Java编程**(第4版)》、《Java核心技术 卷I (第8版)》、《Quartz_Job+Scheduling_Framework》;一些大的上传不上来的文件在README

keyholeimaging icon keyholeimaging

Code associated with the paper "Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path"

lensless icon lensless

Optimizing phase mask for a lensless imaging system

loci-net icon loci-net

Convolutional neural network for Lensless one-shot color Imaging behind a diffuser

ltsf-linear icon ltsf-linear

This is the official implementation for AAAI-23 paper "Are Transformers Effective for Time Series Forecasting?"

lyn icon lyn

D2NN TRANNING SCRIPT

mcrt_muon_simulation icon mcrt_muon_simulation

Monte Carlo simulations are a powerful computational tool for simulating the transport of particles through matter. They are inherently probabilistic in nature which makes them useful for cascade physics. This method adapts existing code for propagating photons through various stellar objects to model cosmic-ray muons traveling through materials of different Z-number. The code simplifies multiple coulomb scattering into purely elastic collisions using Rutherford scattering. The screened model calculated the standard deviation of the spread of exit angles to be 10.1 milliradians for iron and 20.7 milliradians for lead. Borozdin et al. simulated the spread in iron to be 11 milliradians in iron and 20 milliradians in lead. The results agree with previous simulations using GEANT4 and can be easily modified for different materials and inclusions. A point of closest approach algorithm is used to reconstruct and identify the placement of high Z materials embedded in a volume. However, more advanced reconstructive algorithms should be used for higher accuracy. For the future of imaging nuclear waste, this code provides a simple and accurate tool.

monte-carlo-simulation icon monte-carlo-simulation

A Monte Carlo simulation that simulates photons going through a material getting scattered, absorbed and reflected and outputs an image as a result.

nlos-fk icon nlos-fk

Processing code for "Wave-Based Non-Line-of-Sight Imaging using Fast f-k Migration"

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

opt_microscopy_mc icon opt_microscopy_mc

Monte Carlo simulation program for optical microscopy. Based on Lihong Wang, Steven L. Jacques, Liqiong Zheng, MCML—Monte Carlo modeling of light transport in multi-layered tissues, Computer Methods and Programs in Biomedicine, Volume 47, Issue 2, 1995, Pages 131-146, ISSN 0169-2607, http://dx.doi.org/10.1016/0169-2607(95)01640-F.

opt_microscopy_mc_py icon opt_microscopy_mc_py

Monte Carlo simulation program for optical microscopy. Based on Lihong Wang, Steven L. Jacques, Liqiong Zheng, MCML—Monte Carlo modeling of light transport in multi-layered tissues, Computer Methods and Programs in Biomedicine, Volume 47, Issue 2, 1995, Pages 131-146, ISSN 0169-2607, http://dx.doi.org/10.1016/0169-2607(95)01640-F.

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