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Harbin Institute of Technology
- Shenzhen
- https://www.researchgate.net/profile/Xiongwei-Zhao-3
- https://scholar.google.com.sg/citations?user=miv8T6MAAAAJ&hl=zh-CN
Highlights
Lists (20)
Sort Name ascending (A-Z)
Autonomous Wheel
camera algorithm
Cross Modal
D2D SLAM
Deep Learning Feature
Distributed SLAM
Exploration
Lidar SLAM
Lifelong Mapping
LLM
Neural Networks
Object Tracking
Paper Collect
Place Recognition
Point Registration
Point Segmentation
Scene Flow
Segmentation
Semantic SLAM
Visual SLAM
Stars
Self-attention、Non-local、SE、SK、CBAM、DANet
SDK developed to access data from RADIATE dataset
Code, dataset and models for our CVPR 2022 publication "Text2Pos"
[RAL 2024] OpenGraphs: Open-Vocabulary Hierarchical 3D Scene Graphs in Large-Scale Outdoor Environments
A curated list of resources for using LLMs to develop more competitive grant applications.
Align 3D Point Cloud with Multi-modalities for Large Language Models
Collect some World Models for Autonomous Driving papers.
ECCV 2024 Paper List about Autonomous Driving
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
A list of papers, codes and applications on multi-task learning.
The official code release of LidarMTL, a simple and efficient multi-task network for 3D object detection and road understanding
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
[TITS] reliable dense matching based point cloud registration for autonomous driving
This repo is the official code for the paper SFPNet (ECCV 2024) and dataset S.MID.
[CVPR2024] Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset
Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model
A Hierarchical and Multi-modal Framework for Place Recognition
[TII 2023] A Cross-View Transformer Network for LiDAR-Based Place Recognition in Autonomous Driving Environments.
MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
LiDAR Image Pretraining for Visual Place Recognition
Official repository for R2Former: Unified Retrieval and Reranking Transformer for Place Recognition
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.