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3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

4d-pls

4D Panoptic Lidar Segmentation

4dmos

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

bigdata

大数据比赛项目库

blenderproc_create_mydataset

buaathesis

北航毕设论文LaTeX模板

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

generate_point_motionflow

kaggle-nlf-helmet-assignment

leetcode_solutions

lidar-mos

(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

monogrnet

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Detection and Localization | KITTI

my_pointpwc

neural_scene_flow_prior

Neural Scene Flow Prior (NeurIPS 2021 spotlight)

nfl

objectdatasettools

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.

point-cloud-annotation-tool

pointnet2_pytorch

PyTorch implementation of Pointnet2/Pointnet++

pointpwc

PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.

semantic-kitti-api

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

shulitongji_buaa

北京航空航天大学 数理统计 课程学习

simple-distance-measure-by-camera

基于地面假设的单目测距，核心代码文件

smoke

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

spvnas

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

video_obj

基于视频的目标检测算法研究

weighted-boxes-fusion

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.