The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

CUDA accelerated rasterization of gaussian splatting

Squeeze-and-Excitation Networks

how to optimize some algorithm in cuda.

MatConvNet: CNNs for MATLAB

Efficient GPU kernels for block-sparse matrix multiplication and convolution

UNet diffusion model in pure CUDA

Fast k nearest neighbor search using GPU

PopSift is an implementation of the SIFT algorithm in CUDA.

This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

pytorch knn [cuda version]

Fixed Radius Nearest Neighbor Search on GPU

[ECCV'24] On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy

A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search. Run on Jetson Orin NX 8GB.

A high performance CUDA implementation of Scan Matching via the Iterative Closest Point Algorithm

Superpixel SLIC for GPU (CUDA)