yutinghu

bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

Bilinear-CNN-TensorFlow

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

CNNIQA

CVPR2014-Convolutional neural networks for no-reference image quality assessment

conv-autoencoder

Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow

conv-autoencoder-1

a convolutional autoencoder in python and keras.

convolutional_autoencoder

Code for a convolutional autoencoder written on python, theano, lasagne, nolearn

DAIN

Code release for "Differential Angular Imaging for Material Recognition", CVPR 2017.

Deep-Encoding-Pooling-Network-DEP-

Code release for "Deep Texture Manifold for Ground Terrain Recognition", CVPR 2018

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

yutinghu/bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

yutinghu/CNNIQA

CVPR2014-Convolutional neural networks for no-reference image quality assessment

yutinghu/conv-autoencoder

Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow

yutinghu/conv-autoencoder-1

a convolutional autoencoder in python and keras.

yutinghu/DAIN

Code release for "Differential Angular Imaging for Material Recognition", CVPR 2017.

yutinghu/Deep-Encoding-Pooling-Network-DEP-

Code release for "Deep Texture Manifold for Ground Terrain Recognition", CVPR 2018

yutinghu/Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

yutinghu/DeepHDR

This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)

yutinghu/deeplearning-benchmark

yutinghu/dla

yutinghu/faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

yutinghu/fishernet

Codes for our paper Deep FisherNet.

yutinghu/flower-recognition

🌺🌻 Using state-of-the-art pre-trained Deep Neural Net architectures for Flower Species Recognition

yutinghu/flownet2-tf

yutinghu/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)".

yutinghu/pytorch-beginner

pytorch tutorial for beginners

yutinghu/PyTorch-Encoding

A CV Toolkit

yutinghu/PyTorch-Tutorial

Build your neural network easy and fast

yutinghu/pytorch-tutorial-1

PyTorch Tutorial for Deep Learning Researchers

yutinghu/PyTorchZeroToAll

Simple PyTorch Tutorials Zero to ALL!

yutinghu/SegNet-Tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

yutinghu/SparseNet

[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895

yutinghu/SSELBP_ICASSP2017

yutinghu/tensorflow-data

An small example how to use tensorflow data (tf.data)

yutinghu/TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

yutinghu/tensorflow_input_image_by_tfrecord

Feed your own image data to a pre-trained network by tensorflow

yutinghu/textureclassification_BIGD_SPIC2020

Texture classification based on block intensity and gradient difference (BIGD) descriptor

yutinghu/textureclassification_CLDP_ICIP2016

Code for "Completed Local Derivative Pattern for Rotation Invariant Texture Classification" (ICIP2016)

yutinghu/texturetracking_SPL2018

Code for "A High-Speed, Real-Time Vision System for Texture Tracking and Thread Counting" (IEEE SPL2018)

yutinghu/UNIT

Unsupervised Image-to-Image Translation