Caffe for Sparse and Low-rank Deep Neural Networks

Unofficial PyTorch implementation of the paper: "CenterNet3D: An Anchor free Object Detector for Autonomous Driving"

Sparse ConvLSTM for Point Cloud Semantic Segmentation

An implementation of Sparse Layers in TensorFlow 2. x.

Open Source Project for 3D Semantic Segmentation

This repository is a Pytorch porting of the Escoin-caffe Sparse Convolution implementation.

Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

[IROS 2020] Indoor Scene Recognition in 3D

Dynamic Frame Interpolation in Wavelet Domain (TIP 2023)

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

[ECCV 2024] 3D Small Object Detection with Dynamic Spatial Pruning

ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)

[CVPR24] MaGGIe: Mask Guided Gradual Human Instance Matting

A fast MATLAB toolbox for N-dimensional sparse arrays.

TSC-PCAC: Voxel Transformer and Sparse Convolution Based Point Cloud Attribute Compression for 3D Broadcasting

[WACV'25] Official implementation of "PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplane MRI Slices".

Neural Medial Axis Approximation of Point Clouds for 3D Tree Skeletonization

Efficient convolution for sparse data on FPGAs