YHu's repositories
textureclassification_BIGD_SPIC2020
Texture classification based on block intensity and gradient difference (BIGD) descriptor
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
textureclassification_CLDP_ICIP2016
Code for "Completed Local Derivative Pattern for Rotation Invariant Texture Classification" (ICIP2016)
texturetracking_SPL2018
Code for "A High-Speed, Real-Time Vision System for Texture Tracking and Thread Counting" (IEEE SPL2018)
PyTorch-Encoding
A CV Toolkit
pytorch-tutorial-1
PyTorch Tutorial for Deep Learning Researchers
UNIT
Unsupervised Image-to-Image Translation
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
flower-recognition
🌺🌻 Using state-of-the-art pre-trained Deep Neural Net architectures for Flower Species Recognition
tensorflow-data
An small example how to use tensorflow data (tf.data)
conv-autoencoder-1
a convolutional autoencoder in python and keras.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
bilinear-cnn
PyTorch implementation of bilinear CNN for fine-grained image recognition
SparseNet
[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
DeepHDR
This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)
PyTorch-Tutorial
Build your neural network easy and fast
Deep-Encoding-Pooling-Network-DEP-
Code release for "Deep Texture Manifold for Ground Terrain Recognition", CVPR 2018
fishernet
Codes for our paper Deep FisherNet.
CNNIQA
CVPR2014-Convolutional neural networks for no-reference image quality assessment
motion-flow-syn
Motion flow and corresponding blurry image synthesis. Training data generation for "From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur (CVPR'17)".
tensorflow_input_image_by_tfrecord
Feed your own image data to a pre-trained network by tensorflow
pytorch-beginner
pytorch tutorial for beginners
SegNet-Tutorial
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
conv-autoencoder
Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow
DAIN
Code release for "Differential Angular Imaging for Material Recognition", CVPR 2017.