[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

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

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

SECOND for KITTI/NuScenes object detection

Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

The devkit of the nuScenes dataset.

Fast kitti object detection eval in python(finish eval in less than 10 second)

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

OpenMMLab's next-generation platform for general 3D object detection.

A Simple and Versatile Framework for Object Detection and Instance Recognition

Data Augmentation For Object Detection