Pinned Repositories
3dmatch-toolbox
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
caffe-lstm
LSTM implementation on Caffe
capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
ContinuousCRF-CNN
Deformable-ConvNets-caffe
Deformable Convolutional Networks on caffe
demon
DeMoN: Depth and Motion Network
Dense-Spatial-Transform-Flow
Public Caffe implementation of Dense Spatial Transform Flow
FC-DenseNet
Fully Convolutional DenseNets for semantic segmentation.
GuidedNet
Caffe implementation for "Guided Optical Flow Learning"
zmlshiwo's Repositories
zmlshiwo/3dmatch-toolbox
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
zmlshiwo/AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
zmlshiwo/capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
zmlshiwo/ContinuousCRF-CNN
zmlshiwo/Deformable-ConvNets-caffe
Deformable Convolutional Networks on caffe
zmlshiwo/Dense-Spatial-Transform-Flow
Public Caffe implementation of Dense Spatial Transform Flow
zmlshiwo/diracnets
Training Very Deep Neural Networks Without Skip-Connections
zmlshiwo/drn
Dilated Residual Networks
zmlshiwo/DRN-1
zmlshiwo/ESPNet
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
zmlshiwo/flownet2
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
zmlshiwo/flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
zmlshiwo/flownet3d
FlowNet3D: Learning Scene Flow in 3D Point Clouds
zmlshiwo/GeoNet
Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)
zmlshiwo/google-research
Google Research
zmlshiwo/instance-segmentation-pytorch
Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch (https://arxiv.org/abs/1708.02551)
zmlshiwo/LightNet
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
zmlshiwo/LiteFlowNet
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR18 (Spotlight)
zmlshiwo/models
Models and examples built with TensorFlow
zmlshiwo/ppm
PatchMatch algorithms for motion estimation and stereo reconstruction
zmlshiwo/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
zmlshiwo/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
zmlshiwo/Pytorch-Deeplab
DeepLab-ResNet rebuilt in Pytorch
zmlshiwo/pytorch-spynet
a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch
zmlshiwo/rcf
Richer Convolutional Features for Edge Detection
zmlshiwo/RefineDet
Single-Shot Refinement Neural Network for Object Detection
zmlshiwo/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
zmlshiwo/the-gan-zoo
A list of all named GANs!
zmlshiwo/toflow
TOFlow: Video Enhancement with Task-Oriented Flow
zmlshiwo/UnFlow
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss