19 citations · 44 across the 18 of their papers we have counts for
7 papers · 1 filter
A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery
Jacquelyn A. Shelton, Przemyslaw Polewski, Wei Yao +1
The stability and ability of an ecosystem to withstand climate change is directly linked to its biodiversity. Dead trees are a key indicator of overall forest health, housing one-t…
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…
Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos
Shaocheng Jia, Xin Pei, Wei Yao +1
Self-supervised depth estimation has drawn much attention in recent years as it does not require labeled data but image sequences. Moreover, it can be conveniently used in various…
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery
Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao
Since the outbreak of COVID-19 policy makers have been relying upon non-pharmacological interventions to control the outbreak. With air pollution as a potential transmission vector…
Pairwise Point Cloud Registration using Graph Matching and Rotation-invariant Features
Rong Huang, Wei Yao, Yusheng Xu +2
Registration is a fundamental but critical task in point cloud processing, which usually depends on finding element correspondence from two point clouds. However, the finding of re…
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors
Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao +1
In this paper, we introduce a framework for segmenting instances of a common object class by multiple active contour evolution over semantic segmentation maps of images obtained th…
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…