Perpetual Hope Akwensi

According to our database, Perpetual Hope Akwensi authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

APC2Mesh: Bridging the gap from occluded building fa\c{c}ades to full 3D models.

Perpetual Hope Akwensi, Akshay Bharadwaj, Ruisheng Wang

CoRR, 2024

PReFormer: A memory-efficient transformer for point cloud semantic segmentation.

Perpetual Hope Akwensi, Ruisheng Wang, Bo Guo

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

Hyperspectral image-aided LiDAR point cloud labeling via spatio-spectral feature representation learning.

Perpetual Hope Akwensi, Zhizhong Kang, Ruisheng Wang

Int. J. Appl. Earth Obs. Geoinformation, June, 2023

A Reversible Transformer for LiDAR Point Cloud Semantic Segmentation.

Perpetual Hope Akwensi, Ruisheng Wang

Proceedings of the 20th Conference on Robots and Vision, 2023

2022

Reconstruction of Power Pylons From LiDAR Point Clouds Based on Structural Segmentation and Parameter Estimation.

Hui Wang, Teng Hu, Zhen Wang, Zhizhong Kang, Perpetual Hope Akwensi, Juntao Yang

IEEE Geosci. Remote. Sens. Lett., 2022

Attention-Based Multi-Scale Graph Convolution for Point Cloud Semantic Segmentation.

Perpetual Hope Akwensi, Ruisheng Wang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

A Label-Constraint Building Roof Detection Method From Airborne LiDAR Point Clouds.

Juntao Yang, Zhizhong Kang, Perpetual Hope Akwensi

IEEE Geosci. Remote. Sens. Lett., 2021

2020

An Individual Tree Segmentation Method Based on Watershed Algorithm and Three-Dimensional Spatial Distribution Analysis From Airborne LiDAR Point Clouds.

Juntao Yang, Zhizhong Kang, Sai Cheng, Zhou Yang, Perpetual Hope Akwensi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Fisher Vector Encoding of Supervoxel-Based Features for Airborne LiDAR Data Classification.

Perpetual Hope Akwensi, Zhizhong Kang, Juntao Yang

IEEE Geosci. Remote. Sens. Lett., 2020

2019

A Skeleton-Based Hierarchical Method for Detecting 3-D Pole-Like Objects From Mobile LiDAR Point Clouds.

Juntao Yang, Zhizhong Kang, Perpetual Hope Akwensi

IEEE Geosci. Remote. Sens. Lett., 2019