26 citations · 37 across the 21 of their papers we have counts for
27 papers
LEGO: Leveled Language Gaussian Splatting
Yuning Peng, Haiping Wang, Yuan Liu +3
We introduce LEGO for advanced open-vocabulary scene understanding. Beyond basic concept recognition, its core innovation lies in capturing the intrinsic semantic hierarchies withi…
DTIF: Robust Loop Closure Detection via Delaunay Triangle Topology in Complex Forests
Xin Zhao, Jianping Li, Qin Zou +3
Accurate forest inventory and large-scale mapping are essential for ecosystem monitoring and sustainable forest management. Multiple low-cost edge platforms enable efficient large-…
WHU-Infra3D: A Full-stack Multi-modal Dataset and Benchmark for 3D Roadside Infrastructure Inventory
Chong Liu, Luxuan Fu, Xuyu Feng +2
The paradigm of digital twin cities is shifting from coarse visual mapping toward more precise and actionable digitization of urban assets. However, existing datasets predominantly…
DPG-CD: Depth-Prior-Guided Cross-Modal Joint 2D-3D Change Detection
Luqi Zhang, Zhen Dong, Bisheng Yang
Urban spatial evolution is manifested not only through horizontal expansion but also through vertical structural changes. Consequently, jointly capturing 2D semantic changes and 3D…
TOL: Textual Localization with OpenStreetMap
Youqi Liao, Shuhao Kang, Jingyu Xu +6
Natural language provides an intuitive way to express spatial intent in geospatial applications. While existing localization methods often rely on dense point cloud maps or high-re…
AWARE: Adaptive Whole-body Active Rotating Control for Enhanced LiDAR-Inertial Odometry under Human-in-the-Loop Interaction
Yizhe Zhang, Jianping Li, Liangliang Yin +2
Human-in-the-loop (HITL) UAV operation is essential in complex and safety-critical aerial surveying environments, where human operators provide navigation intent while onboard auto…
Expert Knowledge-Guided Decision Calibration for Accurate Fine-Grained Tree Species Classification
Chen Long, Dian Chen, Ruifei Ding +3
Accurate fine-grained tree species classification is critical for forest inventory and biodiversity monitoring. Existing methods predominantly focus on designing complex architectu…
Unleashing the Capabilities of Large Vision-Language Models for Intelligent Perception of Roadside Infrastructure
Luxuan Fu, Chong Liu, Bisheng Yang +1
Automated perception of urban roadside infrastructure is crucial for smart city management, yet general-purpose models often struggle to capture the necessary fine-grained attribut…
SVII-3D: Advancing Roadside Infrastructure Inventory with Decimeter-level 3D Localization and Comprehension from Sparse Street Imagery
Chong Liu, Luxuan Fu, Yang Jia +2
The automated creation of digital twins and precise asset inventories is a critical task in smart city construction and facility lifecycle management. However, utilizing cost-effec…
WHU-STree: A Multi-modal Benchmark Dataset for Street Tree Inventory
Ruifei Ding, Zhe Chen, Wen Fan +5
Street trees are vital to urban livability, providing ecological and social benefits. Establishing a detailed, accurate, and dynamically updated street tree inventory has become es…
Aerial-ground Cross-modal Localization: Dataset, Ground-truth, and Benchmark
Yandi Yang, Jianping Li, Youqi Liao +5
Accurate visual localization in dense urban environments poses a fundamental task in photogrammetry, geospatial information science, and robotics. While imagery is a low-cost and w…
LifelongPR: Lifelong point cloud place recognition based on sample replay and prompt learning
Xianghong Zou, Jianping Li, Zhe Chen +4
Point cloud place recognition (PCPR) determines the geo-location within a prebuilt map and plays a crucial role in geoscience and robotics applications such as autonomous driving,…
SpatialLLM: From Multi-modality Data to Urban Spatial Intelligence
Jiabin Chen, Haiping Wang, Jinpeng Li +3
We propose SpatialLLM, a novel approach advancing spatial intelligence tasks in complex urban scenes. Unlike previous methods requiring geographic analysis tools or domain expertis…
APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds
Yuan Gao, Shaobo Xia, Sheng Nie +3
Airborne laser scanning (ALS) point cloud semantic segmentation is a fundamental task for large-scale 3D scene understanding. Fixed models deployed in real-world scenarios often su…
ARMOR: Adaptive Meshing with Reinforcement Optimization for Real-time 3D Monitoring in Unexposed Scenes
Yizhe Zhang, Jianping Li, Xin Zhao +3
Unexposed environments, such as lava tubes, mines, and tunnels, are among the most complex yet strategically significant domains for scientific exploration and infrastructure devel…
ME-CPT: Multi-Task Enhanced Cross-Temporal Point Transformer for Urban 3D Change Detection
Luqi Zhang, Haiping Wang, Chong Liu +2
The point clouds collected by the Airborne Laser Scanning (ALS) system provide accurate 3D information of urban land covers. By utilizing multi-temporal ALS point clouds, semantic…
SaliencyI2PLoc: saliency-guided image-point cloud localization using contrastive learning
Yuhao Li, Jianping Li, Zhen Dong +2
Image to point cloud global localization is crucial for robot navigation in GNSS-denied environments and has become increasingly important for multi-robot map fusion and urban asse…
OSMLoc: Single Image-Based Visual Localization in OpenStreetMap with Fused Geometric and Semantic Guidance
Youqi Liao, Xieyuanli Chen, Shuhao Kang +4
OpenStreetMap (OSM), a rich and versatile source of volunteered geographic information (VGI), facilitates human self-localization and scene understanding by integrating nearby visu…
Reliable-loc: Robust sequential LiDAR global localization in large-scale street scenes based on verifiable cues
Xianghong Zou, Jianping Li, Weitong Wu +3
Wearable laser scanning (WLS) system has the advantages of flexibility and portability. It can be used for determining the user's path within a prior map, which is a huge demand fo…
VistaDream: Sampling multiview consistent images for single-view scene reconstruction
Haiping Wang, Yuan Liu, Ziwei Liu +3
In this paper, we propose VistaDream a novel framework to reconstruct a 3D scene from a single-view image. Recent diffusion models enable generating high-quality novel-view images…
Exploiting Motion Prior for Accurate Pose Estimation of Dashboard Cameras
Yipeng Lu, Yifan Zhao, Haiping Wang +4
Dashboard cameras (dashcams) record millions of driving videos daily, offering a valuable potential data source for various applications, including driving map production and updat…
Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion
Hang Xu, Chen Long, Wenxiao Zhang +4
In this paper, we explore a novel framework, EGIInet (Explicitly Guided Information Interaction Network), a model for View-guided Point cloud Completion (ViPC) task, which aims to…
DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based Mapping
Zequan Chen, Jianping Li, Qusheng Li +2
Automated Aerial Triangulation (AAT), aiming to restore image pose and reconstruct sparse points simultaneously, plays a pivotal role in earth observation. With its rich research h…
SparseDC: Depth Completion from sparse and non-uniform inputs
Chen Long, Wenxiao Zhang, Zhe Chen +5
We propose SparseDC, a model for Depth Completion of Sparse and non-uniform depth inputs. Unlike previous methods focusing on completing fixed distributions on benchmark datasets (…