engineerJPark

Pointcept

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

engineerjpark.github.io

theme-academic-cv

🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.

LiDAR-DataAug4Weather

[ECCV 2024] Official code of "Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather".

cadc_devkit

A devkit for the Canadian Adverse Driving Conditions (CADC) dataset.

cadcd

Tools for the CADCD dataset

Bayesian-Neural-Networks-Reading-List

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

MM2D3D

Official code for the paper "Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation"

awesome-phd-advice

Collection of advice for prospective and current PhD students

sscnet

Semantic Scene Completion from a Single Depth Image

simple_bev

A Simple Baseline for BEV Perception

BEVDistill

[ICLR 2023] BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection

awesome-point-cloud-analysis-2023

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

awesome-lidar

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

Awesome-3D-Object-Detection

Papers, code and datasets about deep learning for 3D Object Detection.

Awesome-3D-Semantic-Segmentation

Papers, code and datasets about deep learning for 3D Semantic Segmentation.

MT-DETR

[WACV 2023] MT-DETR: Robust End-to-end Multimodal Detection with Confidence Fusion: Official Pytorch Implementation

LiDAR_fog_sim

LiDAR fog simulation

LiDAR_snow_sim

LiDAR snowfall simulation

cosmix-uda

Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation"

SemanticSTF

(CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds"

LDLS

LDLS (Label Diffusion LiDAR Segmentation) algorithm for instance segmentation of LiDAR point clouds.

BEVContrast

BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation

BEVFormer_segmentation_detection

Implemented BEVFormer support for BEV segmentation

ML-SGHMC

Experiment code for Stochastic Gradient Hamiltonian Monte Carlo

BEVFusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

EPCL

[AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder

AutoAlignV2

[ECCV2022, IJCAI2022] AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection

bevfusion

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

CMT

[ICCV 2023] Cross Modal Transformer: Towards Fast and Robust 3D Object Detection