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3d_ultrasonic_scanner

An ultrasonic 3D scanner

3dcs

Three-dimensional compressive sensing algorithms

3dmatch-toolbox

3DMatch reference implementation.

a-low-rank-tensor-dictionary-learning-method-for-multi-spectral-images-denoising

Code is available on https://www.dropbox.com/s/80ltjrxr2v9maeg/LTDL.zip?dl=0

asp

Active-Set Pursuit: an active-set solver for basis pursuit and related sparse optimization problems

beamerscope_tensorflow

This creates a Tensorflow Graph for the automaized illumination detection.

bluenoise

A SciPy implementation of the void-and-cluster method for generation of blue noise textures with arbitrary dimension.

confocal-diffuse-tomography

Code and data for "Three-dimensional imaging through scattering media based on confocal diffuse tomography"

convdiclearntensorfactor

Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independent component analysis and dictionary learning. Model parameters are estimated via CP decomposition of the observed higher order input moments. However, in many domains, additional invariances such as shift invariances exist, enforced via models such as convolutional dictionary learning. In this paper, we develop novel tensor decomposition algorithms for parameter estimation of convolutional models. Our algorithm is based on the popular alternating least squares method, but with efficient projections onto the space of stacked circulant matrices. Our method is embarrassingly parallel and consists of simple operations such as fast Fourier transforms and matrix multiplications. Our algorithm converges to the dictionary much faster and more accurately compared to the alternating minimization over filters and activation maps.

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

deep-listwise-context-model-for-ranking-refinement

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

depth-estimation-using-cnn

Simple depth maps obtained by using CNN

desci

Rank Minimization for Snapshot Compressive Imaging (TPAMI'18)

dl4fli

Deep Learning for Fluorescence Lifetime Imaging

dso_ros

ROS wrapper for dso

ead2019

Github pages

endoscopydepthestimation-pytorch

Self-supervised learning for dense depth estimation in monocular endoscopy

everydaysport

从昨天开始做一个健康的程序员。

falkolib

A library containing keypoint detectors for the stable detection of interest points in laser measurements and two descriptors for robust associations.

freertos-labs

ganpop_pytorch

GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images

gradcsc

Convolutional Sparse Coding in Gradient Domain for MRI Reconstruction

idm-all-products-keygen-v3.6

UltraEdit 注册机

jedi

Joint Estimation of Dictionary and Image (from compressive samples)

k210-micropython-openmv

ldd4

learning-diy-rtos

自己动手从0到1写嵌入式操作系统 课程的相关资料下载

librealsense

Intel® RealSense™ SDK

matconvnet

MatConvNet: CNNs for MATLAB

medaep

Multi-channels and Multi-models based Autoencoding Priors for Grayscale Image Restoration