Pinned Repositories
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
ACAN
Attention-based Context Aggregation Network for Monocular Depth Estimation
ACNet
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
awesome-Elas-demo
参考论文：Efficient Large-Scale Stereo Matching，立体匹配。
BM3D
Clone from http://www.cs.tut.fi/~foi/GCF-BM3D/index.html#ref_software
BM3D-Denoise
Using BM3D to denoise ,the code I'm modified is from https://github.com/MarkPrecursor/BM3D_Denosing.git
camera-pipeline-UI
convolution-vision-transformers
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
DeepPruner_For_Simplicity_Public
DeepPruner_For_Simplicity_Public
wuzhongwulidong's Repositories
wuzhongwulidong/convolution-vision-transformers
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
wuzhongwulidong/DeepPruner_For_Simplicity_Public
DeepPruner_For_Simplicity_Public
wuzhongwulidong/ACNet
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
wuzhongwulidong/CCNet
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
wuzhongwulidong/colmap
COLMAP - Structure-from-Motion and Multi-View Stereo
wuzhongwulidong/convolutional_occupancy_networks
[ECCV'20] Convolutional Occupancy Networks
wuzhongwulidong/CSPN
Convolutional Spatial Propagation Network
wuzhongwulidong/DeepCompletionRelease
Deep Depth Completion of a Single RGB-D Image
wuzhongwulidong/DeepPruner
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
wuzhongwulidong/demon
DeMoN: Depth and Motion Network
wuzhongwulidong/DenseMatchingBenchmark
Dense Matching Benchmark
wuzhongwulidong/DSMNet
Domain-invariant Stereo Matching Networks
wuzhongwulidong/expansion
Upgrading Optical Flow to 3D Scene Flow through Optical Expansion, CVPR 2020 (Oral).
wuzhongwulidong/hdrnet-pytorch
Unofficial PyTorch implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017 https://groups.csail.mit.edu/graphics/hdrnet/
wuzhongwulidong/Hierarchical-Localization
Visual localization made easy with hloc
wuzhongwulidong/high-res-stereo
Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.
wuzhongwulidong/image-matching-benchmark
Public release of the Image Matching Benchmark: https://image-matching-challenge.github.io
wuzhongwulidong/NLCA-Net_v2
This is the project of the StereoMatching Project. This project based on my framework (if you want to use it to build the Network, you can find it on my website: fadeshine. If you have any questions, you can send an e-mail to me. My e-mail: raoxi36@foxmail.com)
wuzhongwulidong/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
wuzhongwulidong/PASSRnet
Repository for "Learning Parallax Attention for Stereo Image Super-Resolution", CVPR 2019
wuzhongwulidong/PICK-pytorch
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
wuzhongwulidong/PyTorch-HITNet-Hierarchical-Iterative-Tile-Refinement-Network-for-Real-time-Stereo-Matching
HITNet implementation using PyTorch
wuzhongwulidong/Realsense-disparity-refinement-with-CUDA
wuzhongwulidong/RidgeSfM
Ridge SfM Structure from Motion via robust pairwise matching under depth uncertainty
wuzhongwulidong/SDR
Code for 'Segment-based Disparity Refinement with Occlusion Handling for Stereo Matching'
wuzhongwulidong/SemiGlobalMatching
SGM，立体匹配最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！
wuzhongwulidong/SuperPoint
Efficient neural feature detector and descriptor
wuzhongwulidong/SuperPointPretrainedNetwork
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
wuzhongwulidong/UCSNet
Code for "Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness"
wuzhongwulidong/Vid2Curve
Thin structure reconstruction