dingrui (dingmiaomiao)

dingmiaomiao

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Company:Xi 'an Jiaotong University

Location:xi'an,China

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dingrui's starred repositories

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

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BEVFormer

[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.

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bevfusion

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

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BEVDet

Official code base of the BEVDet series .

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lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

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BEVDepth

Official code for BEVDepth.

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DCNv2_latest

DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

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2DPASS

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:

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MonoDETR

[ICCV 2023] The first DETR model for monocular 3D object detection with depth-guided transformer

RoboBEV

RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift

Robo3D

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

RoboDepth

[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

EA-LSS

EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection

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3D-deformable-attention

[ICCV 2023] Official implementation of the paper "DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting"

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MonoCon

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (AAAI'22)

MonoDTR

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer (CVPR 2022)

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3D_Corruptions_AD

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving, CVPR 2023

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BEVDistill

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

MetaBEV

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation

3D-Dual-Fusion

[Arxiv 2022] This is the official implementation of 3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection

BEVFusion_Learningnote

本Fork代码仓库作为本人记录学习BEVFusion的学习笔记使用,会逐步理解代码并添加大量中文注释。 本仓库代码已参照《bevfusion单显卡训练/测试》做了单GPU训练和测试的修改。 并在本人主机上做过了测试。

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MonoDetector

This repository contains unofficial pytorch implementations for SMOKE, MonoCon, GUPNet, MonoFlex and IDMS

lidar-camera-robust-benchmark

Toolkit to convert a clean LiDAR-camera dataset into a robustness benchmark

G2-MonoDepth

T-PAMI 2024: G2-MonoDepth: A General Framework of Generalized Depth Inference from Monocular RGB+X Data

MonoSKD

[ECAI 2023] MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation Coefficient

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RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

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MonoSTL

Selective Transfer Learning of Cross-Modality Distillation for Monocular 3D Object Detection

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