activity
20142026
most citedRoad Curb Extraction from Mobile LiDAR Point Clouds

84 citations · 127 across the 16 of their papers we have counts for

collaborators

17 papers

cs.CV2026

Building age estimation based on widely available multi-source1 geospatial data

Jialu Sui, Hongsheng Zhang, Rui Liu +4

Building age is fundamental for urban infrastructure safety, operation, and planning, as it directly affects structural safety, and sustainable development. Existing methods mostly…

cs.CV2026

Robust structure from motion for aerial-ground images via detector-free feature matching and multi-view track refinement

San Jiang, Hui Wang, Xing Zhang +5

Integrated 3D reconstruction from aerial-ground images is essential for generating high-precision urban 3D models, yet severe variations in viewpoint, scale, and rotation make robu…

cs.CV2026

PCFootprint: A Large-Scale Dataset and Benchmark for Vectorized Building Footprint Extraction from Aerial LiDAR Point Clouds

Haoyuan Shen, Kuihao Wang, Ruisheng Wang +1

Building footprint extraction is a fundamental task in photogrammetry, remote sensing, and computer vision. Recent image-based methods have achieved remarkable progress in extracti…

cs.CV2026

Region Matters: Efficient and Reliable Region-Aware Visual Place Recognition

Shunpeng Chen, Yukun Song, Changwei Wang +6

Visual Place Recognition (VPR) determines a query image's geographic location by matching it against geotagged databases. However, existing methods struggle with perceptual aliasin…

cs.CV2026

LeafInst - Unified Instance Segmentation Network for Fine-Grained Forestry Leaf Phenotype Analysis: A New UAV based Benchmark

Taige Luo, Junru Xie, Chenyang Fan +5

Intelligent forest tree breeding has advanced plant phenotyping, yet existing research largely focuses on large-leaf agricultural crops, with limited attention to fine-grained leaf…

cs.CV2025

BuildingWorld: A Structured 3D Building Dataset for Urban Foundation Models

Shangfeng Huang, Ruisheng Wang, Xin Wang

As digital twins become central to the transformation of modern cities, accurate and structured 3D building models emerge as a key enabler of high-fidelity, updatable urban represe…

cs.CV2025

Complementary Information Guided Occupancy Prediction via Multi-Level Representation Fusion

Rongtao Xu, Jinzhou Lin, Jialei Zhou +6

Camera-based occupancy prediction is a mainstream approach for 3D perception in autonomous driving, aiming to infer complete 3D scene geometry and semantics from 2D images. Almost…

cs.CV2025

SDRNET: Stacked Deep Residual Network for Accurate Semantic Segmentation of Fine-Resolution Remotely Sensed Images

Naftaly Wambugu, Ruisheng Wang, Bo Guo +3

Land cover maps generated from semantic segmentation of high-resolution remotely sensed images have drawn mucon in the photogrammetry and remote sensing research community. Current…

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.LG2023★ 2 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.CV2023★ 3 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.CV2021★ 6 cited

DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer

Wenju Xu, Chengjiang Long, Ruisheng Wang +1

The paper proposes a Dynamic ResBlock Generative Adversarial Network (DRB-GAN) for artistic style transfer. The style code is modeled as the shared parameters for Dynamic ResBlocks…

cs.CV2017★ 31 cited

An optimal hierarchical clustering approach to segmentation of mobile LiDAR point clouds

Sheng Xu, Ruisheng Wang, Han Zheng

This paper proposes a hierarchical clustering approach for the segmentation of mobile LiDAR point clouds. We perform the hierarchical clustering on unorganized point clouds based o…

cs.CV2016★ 84 cited

Road Curb Extraction from Mobile LiDAR Point Clouds

Sheng Xu, Ruisheng Wang, Han Zheng

Automatic extraction of road curbs from uneven, unorganized, noisy and massive 3D point clouds is a challenging task. Existing methods often project 3D point clouds onto 2D planes…

cs.HC2014★ 1 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…