no code implementations • 23 May 2022 • Eojindl Yi, JuYoung Yang, Junmo Kim
We evaluate the performance of our method on the recently proposed LiDAR segmentation UDA scenarios.
1 code implementation • 4 Feb 2022 • Pyunghwan Ahn, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim
Point branch consists of MLPs, while projection branch transforms point features into a 2D feature map and then apply 2D convolutions.
no code implementations • ICCV 2021 • JuYoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim
With the development of 3D scanning technologies, 3D vision tasks have become a popular research area.
Ranked #7 on 3D Point Cloud Linear Classification on ModelNet40
3D Point Cloud Linear Classification Point cloud reconstruction
no code implementations • 2 Nov 2020 • JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim
In this paper, we propose a simple and efficient architecture named point projection and back-projection network (PBP-Net), which leverages 2D CNNs for the 3D point cloud segmentation.