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3D-R2N2
Single/multi view image(s) to voxel reconstruction using a recurrent neural networkFCGF
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.pytorch-custom-cuda-tutorial
Tutorial for building a custom CUDA function for PytorchDeepGlobalRegistration
[CVPR 2020 Oral] A differentiable framework for 3D registrationSpatioTemporalSegmentation
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)fully-differentiable-deep-ndf-tf
Fully differentiable deep-neural decision forest in tensorflowMakePytorchPlusPlus
How and why you want to make your pytorch CUDA/CPP extension with a Makefileknn_cuda
Fast K-Nearest Neighbor search with GPUopen-ucn
The first fully convolutional metric learning for geometric/semantic image correspondences.HighDimConvNets
[CVPR 2020 Oral] High-dimensional Convolutional Networks for Geometric Pattern Recognitiongesvd
Pytorch extension for Singular Value Decompostion (SVD) with LAPACK gesvd backendSUN_RGBD
Reorganized SUN RGBD datasetSpatioTemporalSegmentation-ScanNet
enriching_object_detection
CUDA-FFT-Convolution
CUDA FFT convolutionsegmentation_lecture
python-venv-setup
Make python virtual environment setup on old servers less painfulMinkowskiEngineBenchmark
mini_lseg
PybindNumpyExample
A simple reference template for pybind11 + numpyenv-setup
Setup my dev environmentdotfiles
dot filestorch_spmm
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