4 citations · 9 across the 9 of their papers we have counts for
9 papers
Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts
Puzuo Wang, Wei Yao, Jie Shao +1
Domain adaptation (DA) techniques help deep learning models generalize across data shifts for point cloud semantic segmentation (PCSS). Test-time adaptation (TTA) allows direct ada…
A sustainable development perspective on urban-scale roof greening priorities and benefits
Jie Shao, Wei Yao, Lei Luo +4
Greenspaces are tightly linked to human well-being. Yet, rapid urbanization has exacerbated greenspace exposure inequality and declining human life quality. Roof greening has been…
UB-FineNet: Urban Building Fine-grained Classification Network for Open-access Satellite Images
Zhiyi He, Wei Yao, Jie Shao +1
Fine classification of city-scale buildings from satellite remote sensing imagery is a crucial research area with significant implications for urban planning, infrastructure develo…
Urban GeoBIM construction by integrating semantic LiDAR point clouds with as-designed BIM models
Jie Shao, Wei Yao, Puzuo Wang +2
Developments in three-dimensional real worlds promote the integration of geoinformation and building information models (BIM) known as GeoBIM in urban construction. Light detection…
Classification of Single Tree Decay Stages from Combined Airborne LiDAR Data and CIR Imagery
Tsz Chung Wong, Abubakar Sani-Mohammed, Jinhong Wang +3
Understanding forest health is of great importance for the conservation of the integrity of forest ecosystems. In this regard, evaluating the amount and quality of dead wood is of…
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning
Puzuo Wang, Wei Yao, Jie Shao
Reliance on vast annotations to achieve leading performance severely restricts the practicality of large-scale point cloud semantic segmentation. For the purpose of reducing data a…
Exploiting Temporal Relations on Radar Perception for Autonomous Driving
Peizhao Li, Pu Wang, Karl Berntorp +1
We consider the object recognition problem in autonomous driving using automotive radar sensors. Comparing to Lidar sensors, radar is cost-effective and robust in all-weather condi…
A new weakly supervised approach for ALS point cloud semantic segmentation
Puzuo Wang, Wei Yao
While there are novel point cloud semantic segmentation schemes that continuously surpass state-of-the-art results, the success of learning an effective model usually rely on the a…
Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation
Puzuo Wang, Wei Yao
Competitive point cloud semantic segmentation results usually rely on a large amount of labeled data. However, data annotation is a time-consuming and labor-intensive task, particu…