Repository of DELIVER dataset and CMNeXt models (CVPR 2023)

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

Command-line Paper Downloader for ArXiv, CVF (CVPR, ICCV, WACV) & ECVA (ECCV)

[IROS 2022] Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation

This repo presents you the official code of "VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention"

[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496

Unifying Voxel-based Representation with Transformer for 3D Object Detection (NeurIPS 2022)

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)

[PR 2022] SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud

Multi-View Adaptive Fusion Network for 3D Object Detection

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

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

Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection

Voxel Transformer for 3D object detection

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)

This repository is an open-source PointPainting package which is easy to understand, deploy and run!

The PyTorch Implementation of F-ConvNet for 3D Object Detection

A 3d LIDAR object detection model

DeepVision3D is an open source toolbox for point-cloud understanding.

"Improving 3D Object Detection with Channel-wise Transformer", ICCV2021 accept!

The AAAI-2020 Paper(Oral):"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion (CVPR 2022, Oral)

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

Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Documentation for GitHub Copilot

Frustum PointNets for 3D Object Detection from RGB-D Data

[ECCV 2020] This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection