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learned_gradient_tomography

Solving ill-posed inverse problems using iterative deep neural networks

learning_methods_dynamic_tm

Code for the models introduced in the paper "Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis" by Olga Isupova, Danil Kuzin, Lyudmila Mihaylova. Published in IEEE Transactions on Neural Networks and Learning Systems, 2017

libseg

libseg

libwethair

A Multi-Scale Model for Simulating Liquid-Hair Interactions

light_field_blind_motion_deblurring

CVPR 2017 Paper: Light Field Blind Motion Deblurring

livequalitymonitor

Video Quality Assessment System for check stream video quality including image quality, fps, pts variation etc.

lriid

Multispectral intrinsic image decomposition via Low Rank Constraint

magcut

mbs

Minimum Barrier Salient Object Detection

mdwi_demosaicking

mex

List of MATLAB/MEX functions (written in C/C++) for various aspects of Computer Vision and Image Processing

models

Models and examples built with TensorFlow

monocular-depth-estimation

monodepth

Unsupervised single image depth prediction with CNNs

msg-net

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV16

mstex-cvl-matlab

Submission for the MSTEx competition (ICDAR 2015)

multiple-multiband-image-fusion

Data and MATLAB code for the simulations of [R. Arablouei and F. de Hoog, “Fusing multiple multiband images,” submitted to the IEEE Transactions on Geoscience and Remote Sensing, 2017.]

mvgl

IEEE Transactions on Cybernetics 2017: Graph learning for multiview clustering

near_ps

Code for solving photometric stereo under calibrated or semi-calibrated near point light source illumination (e.g., LEDs).

nonlinearunmixingvector

This demo reproduces the results reported in the paper "Nonlinear unmixing of hyperspectral data with vector-valued kernel functions," R. Ammanouil, A. Ferrari, C. Richard and S. Mathieu 2016 IEEE Transactions on Image Processing (To appear).

nrw

MATLAB code for the paper "Nonlocal Random Walks Algorithm for Semi-Automatic 2D-to-3D Image Conversion"

paintschainer

line drawing colorization using chainer

pcv-book-code

:book:Python计算机视觉中译本实例代码

pmlda

pspnet

Pyramid Scene Parsing Network

px2graph

Training code for "Pixels to Graphs by Associative Embedding"

pytorch-scripts

A few Windows specific scripts for PyTorch

qualia2.0

Qualia2.0 is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia2.0 was built from scratch with pure python3 code.

r2dto3d

Robust Semi-Automatic 2D-to-3D Conversion via $\ell_1$ Optimization

rainremoval_iccv2017