Usage

Please feel free to update this list.

High-Performance Computing

• SparsePipe: Parallel Deep Learning for 3D Point Clouds, HIPC'20
  • Tags: Sparse DNN, 3D Point Clouds, Distributed Training, Model Parallelism

Classification

• Adversarial methods to reduce simulation bias in neutrino interaction event filtering at Liquid Argon Time Projection Chambers, arXiv'22
  • Tags: Domain adversarial neural networks, liquid argon time projection chambers
• Scene-Recognition-in-3D, IROS'20
  • Tags: Scene Recognition

Detection

• Generative Sparse Detection Networks for 3D Single-shot Object Detection, ECCV'20 spotlight
  • Tags: Generative Networks, Single-shot detection, 3D YOLO
• PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding, ECCV'20 spotlight
  • Tags: Unsupervised learning, segmentation, detection, registration
• Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception, ICLR'22
  • Tags: 3D detection with historical context

Semantic Segmentation & Instance Segmentation

• Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks, arXiv'22
  • Tags: Semantic Segmentation, Computed Tomography, Medical Imaging, Cancer Research, Tumour Segmentation
• Scene-Recognition-in-3D, IROS'20
  • Tags: Scene Recognition
• Spatial Semantic Embedding Network:Fast 3D Instance Segmentation with Deep Metric Learning, IROS'20
  • Tags: Instance Segmentation, Metric Learning
• 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks, CVPR'19
  • Tags: Semantic Segmentation, Spatio Temporal Perception
• PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding, ECCV'20 spotlight
  • Tags: Unsupervised learning, segmentation, detection, registration
• Bidirectional Projection Network for Cross Dimension Scene Understanding, CVPR'21 Oral
  • Tags: BPNet, Joint modeling for 2D-3D scene recognition
• Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
  • Tags: DeepViewAgg, 3D semantic segmentation, 2D-3D multimodal, multi-view, large-scale
• Cross-Shape Attention for Part Segmentation of 3D Point Clouds, Computer Graphics Forum (Proc. SGP)'23
  • Tags: Part Segmentation, Cross-Attention, Point Cloud

Monocular Depth Estimation

• Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion, CVPR'21
  • Tags: Monocular depth prediction, Monocular depth completion

Feature Learning & Registration

• Fully Convolutional Geometric Features, ICCV'19
  • Tags: registration, representation learning, metric learning
• Learning multiview 3D point cloud registration, CVPR'20
  • Tags: 3D Registration, Multi-view reconstruction
• PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding, ECCV'20 spotlight
  • Tags: Unsupervised learning, segmentation, detection, registration
• Deep Global Registration, CVPR'20 oral
  • Tags: 3D reconstruction, registration, high-dimensional convnet
• High-Dimensional Convolutional Networks for Geometric Pattern Recognition, CVPR'20 oral
  • Tags: pattern recognition, 2D registration, 3D registration, high-dimensional convnet
• MinkLoc3D: Point Cloud Based Large-Scale Place Recognition, WACV'21
  • Tags: place recognition, global descriptor, point cloud, metric learning
• PREDATOR: Registration of 3D Point Clouds with Low Overlap, CVPR'21 Oral
  • Tags: Point cloud registration, attention mechanism

Pattern Recognition

• High-Dimensional Convolutional Networks for Geometric Pattern Recognition, CVPR'20 oral
  • Tags: pattern recognition, 2D registration, 3D registration, high-dimensional convnet

Image Matching

• Sparse Neighbourhood Consensus Networks, ECCV'20
  • Tags: Image matching, 4D ConvNet
• High-Dimensional Convolutional Networks for Geometric Pattern Recognition, CVPR'20 oral
  • Tags: pattern recognition, 2D registration, 3D registration, high-dimensional convnet

Shape Completion & Medical Image Segmentation

• Sparse Convolutional Neural Networks for Medical Image Analysis
  • Tags: Skull Reconstruction, Shape Completion, Shape Refinement, Super-resolution, Medical Image Segmentation
• Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks, arXiv'22
  • Tags: Semantic Segmentation, Computed Tomography, Medical Imaging, Cancer Research, Tumour Segmentation

List of all projects

https://github.com/NVIDIA/MinkowskiEngine/wiki/List-of-Projects-using-Minkowski-Engine