13 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation
Eojindl Yi, Juyoung Yang, Junmo Kim
Despite its importance, unsupervised domain adaptation (UDA) on LiDAR semantic segmentation is a task that has not received much attention from the research community. Only recentl…
cs.CV2022★ 13 cited
Projection-based Point Convolution for Efficient Point Cloud Segmentation
Pyunghwan Ahn, Juyoung Yang, Eojindl Yi +2
Understanding point cloud has recently gained huge interests following the development of 3D scanning devices and the accumulation of large-scale 3D data. Most point cloud processi…
cs.CV2020★ 2 cited
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation
JuYoung Yang, Chanho Lee, Pyunghwan Ahn +3
Following considerable development in 3D scanning technologies, many studies have recently been proposed with various approaches for 3D vision tasks, including some methods that ut…