Efficient convolution for sparse data on FPGAs
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Updated
Aug 4, 2026 - Python
Efficient convolution for sparse data on FPGAs
An implementation of Sparse Layers in TensorFlow 2. x.
Lidar Bridge Classification
This repository is a Pytorch porting of the Escoin-caffe Sparse Convolution implementation.
Lidar Bridge Classification
Dynamic Frame Interpolation in Wavelet Domain (TIP 2023)
TSC-PCAC: Voxel Transformer and Sparse Convolution Based Point Cloud Attribute Compression for 3D Broadcasting
3D Shape Completion using EDM Diffusion on Sparse Signed Distance Fields.
NVIDIA/MinkowskiEngine ported to torch 2.11 / CUDA 12.8 / CCCL 2.x: builds and runs on sm_89 + sm_120 (Blackwell), 48 errors to 0
Open Source Project for 3D Semantic Segmentation
A fast MATLAB toolbox for N-dimensional sparse arrays.
spconv-Triton is a fast sparse convolution library with full operator support (SubM conv, Conv3D, Transposed Conv, Pooling). It is hardware-agnostic and runs on GPUs supporting Triton.
Fork of NVIDIA MinkowskiEngine modernized for CUDA 12.8+/Blackwell (RTX 50-series), NumPy 2.0, PyTorch 2.x prebuilt wheels, fp16/bf16 autocast, fused gather/scatter. Best-effort, no support commitment.
Sparse ConvLSTM for Point Cloud Semantic Segmentation
Neural Medial Axis Approximation of Point Clouds for 3D Tree Skeletonization
Lidar Bridge Classification
[CVPR24] MaGGIe: Mask Guided Gradual Human Instance Matting
[WACV'25] Official implementation of "PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplane MRI Slices".
[ECCV 2024] 3D Small Object Detection with Dynamic Spatial Pruning
[IROS 2020] Indoor Scene Recognition in 3D
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