[2018] VoxelNet End-to-End Learning for Point Cloud Based 3D Object Detection

(18:45)

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

(36:27)

VoxelNet: End-to-end Learning For Point Cloud Based 3D Object Detection

(5:8)

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

(1:)

ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detec

(4:51)

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

(4:48)

Unite Berlin 2018 - Scaling CPU Experiences: An Introduction to the Entity Component System

(48:42)

Point cloud data analysis: DEMs and Voxel models (NCSU UAS Mapping for 3D Modeling)

(21:25)

[DS Interface] VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

(13:2)

Dense Voxel Fusion for 3D Object Detection

(4:)

Unite Berlin 2018 - Technical Deep Dive into the New Prefab System

(59:1econd)

Undet for AutoCAD Workflow video on how to create a ground surface mesh from UAV

(7:18)

The punch 3D Point Clouds carry

(1:6:18)

FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds

(2:20)