Yuanwen Yue Claim this profile

[CVPR 2023] RoomFormer: Two-level Queries for Single-stage Floorplan Reconstruction

[ICLR 2024] AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation

[ECCV 2024] Improving 2D Feature Representations by 3D-Aware Fine-Tuning

Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources

Coursework for [Development and Application of Geographic Information System Software](2018Fall)

Shape Matching of Real 3D Object Data to Synthetic 3D CADs (3DV project @ ETHZ)

Web storymap project in Cartography Lab at ETH Zurich.

No description.

Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia, Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)

Laser slam - from theory to practice

Code and data for course project of Social Data Science - ETH Zurich

Coursework for [Map Projection and Transformation] (2018Spring)

Semantic 3D Occupancy Mapping through Efficient High Order CRFs

ici-here/version2/ios

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

No description.

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Spatial Sparse Convolution Library

An open HD map production process for autonomous car simulation

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

Markdown Cheatsheet for Github Readme.md

🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA' 23)

[CVPR 2023] A Cutting-edge Baseline for 3D Semantic Occupancy Prediction

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

End-to-End Object Detection with Transformers

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

Code for "HEAT: Holistic Edge Attention Transformer for Structured Reconstruction", CVPR 2022

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

ImpliCity: City Modeling from Satellite Images with Deep Implicit Occupancy Fields

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Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

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🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

Open3D: A Modern Library for 3D Data Processing

Final Project for ETH Cartography III HS20

🚀✨ Help beginners to contribute to open source projects

Documents for ETH Geomatics Seminar HS20

Online materials for Social Data Science

No description.

A volumetric object-level semantic mapping framework.

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A lightweight library for Web Location-based Augmented Reality.

Long list of geospatial tools and resources

PlacenoteSDK Sample app in native iOS using ARKit, written primarily in Swift

Reading list for research topics in multimodal machine learning

place to host some of my tiny files

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Object detection in Point Cloud is popular in HD Map and sensor-based autonomous driving. There basically four types of object you can obtain in daily scenario: road surface - contains painted lane marking and pavement area, support facility - contains road boundary (guardrail and curb), road sign, light pole, etc., uncorrelated object - for example, sidewalk, building, etc., and moving object - such like pedestrian, vehicle, bicycle, etc. In this project, please search references, design and prototype your road boundary (guardrail) detection algorithm.

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

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

A list of references on lidar point cloud processing for autonomous driving

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.

No description.

A resource repository for 3D machine learning

Car Tracking, Lane Detection, Traffic Sign Recognition, Homography, Color Segmentation, Visual Odometry

Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.

This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.

Final project for [Course Design of Web GIS and Geographic Information Service] 2019Spring

Coursework for [Map Algebra](2018fall)

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Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

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Lane Marking Quality Assessment for Autonomous Driving

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Python package for the evaluation of odometry and SLAM

Final Project for EECS/NAVARCH 568 (Mobile Robotics)

A C++ Program for automatically extraction of road markings from MLS or ALS point cloud

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images.

An open source book sales management software written by Java.

Resources for performing deep learning on satellite imagery

跟踪SLAM前沿动态【周更】

No description.