1 citations · 1 across the 9 of their papers we have counts for
12 papers
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…
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…