activity
20142024
most citedBuilding3D: An Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds

3 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

APC2Mesh: Bridging the gap from occluded building façades to full 3D models

Perpetual Hope Akwensi, Akshay Bharadwaj, Ruisheng Wang

The benefits of having digital twins of urban buildings are numerous. However, a major difficulty encountered in their creation from airborne LiDAR point clouds is the effective me…

cs.CV2023

PBWR: Parametric Building Wireframe Reconstruction from Aerial LiDAR Point Clouds

Shangfeng Huang, Ruisheng Wang, Bo Guo +1

In this paper, we present an end-to-end 3D building wireframe reconstruction method to regress edges directly from aerial LiDAR point clouds.Our method, named Parametric Building W…

cs.LG20232 cited

A Multimodal Learning Framework for Comprehensive 3D Mineral Prospectivity Modeling with Jointly Learned Structure-Fluid Relationships

Yang Zheng, Hao Deng, Ruisheng Wang +1

This study presents a novel multimodal fusion model for three-dimensional mineral prospectivity mapping (3D MPM), effectively integrating structural and fluid information through a…

cs.CV20233 cited

Building3D: An Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds

Ruisheng Wang, Shangfeng Huang, Hongxin Yang

Urban modeling from LiDAR point clouds is an important topic in computer vision, computer graphics, photogrammetry and remote sensing. 3D city models have found a wide range of app…

cs.HC20141 cited

Perceiving Motion Cues Inspired by Microsoft Kinect Sensor on Game Experiencing

Jiawei Xu, Shigang Yue, Ruisheng Wang +1

This paper proposed a novel method to replace the traditional mouse controller by using Microsoft Kinect Sensor to realize the functional implementation on human-machine interactio…

cs.RO2014

A Cognitive Model for Humanoid Robot Navigation and Mapping using Alderbaran NAO

Jiawei Xu, Ruisheng Wang, Shigang Yue +1

The aim of this work is to build a cognitive model for the humanoid robot, especially, we are interested in the navigation and mapping on the humanoid robot. The agents used are th…