Perpetual Hope Akwensi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Int. J. Appl. Earth Obs. Geoinformation

Publications

Perpetual Hope Akwensi, Ruisheng Wang, Bo Guo
PReFormer: A memory-efficient transformer for point cloud semantic segmentation. Int. J. Appl. Earth Obs. Geoinformation 128 (2024)
Perpetual Hope Akwensi, Akshay Bharadwaj, Ruisheng Wang
APC2Mesh: Bridging the gap from occluded building fa\c{c}ades to full 3D models. CoRR (2024)
Perpetual Hope Akwensi, Zhizhong Kang, Ruisheng Wang
Hyperspectral image-aided LiDAR point cloud labeling via spatio-spectral feature representation learning. Int. J. Appl. Earth Obs. Geoinformation 120 (2023)
Perpetual Hope Akwensi, Ruisheng Wang
A Reversible Transformer for LiDAR Point Cloud Semantic Segmentation. CRV (2023)
Perpetual Hope Akwensi, Ruisheng Wang
Attention-Based Multi-Scale Graph Convolution for Point Cloud Semantic Segmentation. IGARSS (2022)
Hui Wang, Teng Hu, Zhen Wang, Zhizhong Kang, Perpetual Hope Akwensi, Juntao Yang
Reconstruction of Power Pylons From LiDAR Point Clouds Based on Structural Segmentation and Parameter Estimation. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Juntao Yang, Zhizhong Kang, Perpetual Hope Akwensi
A Label-Constraint Building Roof Detection Method From Airborne LiDAR Point Clouds. IEEE Geosci. Remote. Sens. Lett. 18 (8) (2021)
Juntao Yang, Zhizhong Kang, Sai Cheng, Zhou Yang, Perpetual Hope Akwensi
An Individual Tree Segmentation Method Based on Watershed Algorithm and Three-Dimensional Spatial Distribution Analysis From Airborne LiDAR Point Clouds. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Perpetual Hope Akwensi, Zhizhong Kang, Juntao Yang
Fisher Vector Encoding of Supervoxel-Based Features for Airborne LiDAR Data Classification. IEEE Geosci. Remote. Sens. Lett. 17 (3) (2020)
Juntao Yang, Zhizhong Kang, Perpetual Hope Akwensi
A Skeleton-Based Hierarchical Method for Detecting 3-D Pole-Like Objects From Mobile LiDAR Point Clouds. IEEE Geosci. Remote. Sens. Lett. 16 (5) (2019)