Pv-Rcnn: Point-Voxel Feature Set Abstraction For 3D Object Detection

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

ComputerVisionFoundation Videos

Lidar based 3D Object Detection using PV-RCNN

[NeurIPS 2019 Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

Point Voxel CNN for Efficient 3D Deep Learning, NeurIPS 2019, spotlight presentation.

PV-RCNN paper brief review

PVFusion: Point-Voxel Fusion for Multimodal 3D Detection, K. Wang*, Z. zhang, T. Chen, S. Zhao

Deep Learning For Autonomous Driving Workshops

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object (PAPER EXPLAINED)

Multimodal fusion Deeplab PVRCNN

Point-Voxel CNN for efficient 3D deep learning: Depth + IR

Benjamin Kelenyi

Efficient 3D Object and Scene Segmentation with Point-Voxel CNN (on NVIDIA Jetson)

Point Density-Aware Voxels for LiDAR 3D Object Detection

GraVoS: Voxel Selection for 3D Point-Cloud Detection (CVPR'2023)

Point-Voxel CNN for Efficient 3D Deep Learning(PVCNN), Zhijian Liu (MIT EECS)

Deep Learning For Autonomous Driving Workshops

Efficient LiDAR Perception for Autonomous Racing Vehicle with Point-Voxel CNN

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (PAPER EXPLAINED)

HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection

ComputerVisionFoundation Videos

R-CNN Explained

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

PointPainting: Sequential Fusion for 3D Object Detection

ComputerVisionFoundation Videos

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)