Advancements in point cloud data augmentation for deep learning: A survey
Deep learning (DL) has become one of the mainstream and effective methods for point
cloud analysis tasks such as detection, segmentation and classification. To reduce …
cloud analysis tasks such as detection, segmentation and classification. To reduce …
GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformer
Point cloud completion aims to recover accurate global geometry and preserve fine-grained
local details from partial point clouds. Conventional methods typically predict unseen points …
local details from partial point clouds. Conventional methods typically predict unseen points …
[HTML][HTML] Adaptive point learning with uncertainty quantification to generate margin lines on prepared teeth
A Alsheghri, Y Ladini, G Hosseinimanesh, I Chafi… - Applied Sciences, 2024 - mdpi.com
During a crown generation procedure, dental technicians depend on commercial software to
generate a margin line to define the design boundary for the crown. The margin line …
generate a margin line to define the design boundary for the crown. The margin line …
[HTML][HTML] Personalized dental crown design: A point-to-mesh completion network
G Hosseinimanesh, A Alsheghri, J Keren, F Cheriet… - Medical Image …, 2025 - Elsevier
Designing dental crowns with computer-aided design software in dental laboratories is
complex and time-consuming. Using real clinical datasets, we developed an end-to-end …
complex and time-consuming. Using real clinical datasets, we developed an end-to-end …
Towards a Density Preserving Objective Function for Learning on Point Sets
H Jayasinghe, I Brilakis - European Conference on Computer Vision, 2024 - Springer
Accurate measurement of the discrepancy between point sets is crucial for point cloud
learning tasks. Chamfer distance (CD) is favoured over more effective loss metrics such as …
learning tasks. Chamfer distance (CD) is favoured over more effective loss metrics such as …
Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance
3D point clouds enhanced the robot's ability to perceive the geometrical information of the
environments, making it possible for many downstream tasks such as grasp pose detection …
environments, making it possible for many downstream tasks such as grasp pose detection …
Mobile Augmented Reality Framework with Fusional Localization and Pose Estimation
As a novel way of presenting information, augmented reality (AR) enables people to interact
with the physical world in a direct and intuitive way. While there are some mobile AR …
with the physical world in a direct and intuitive way. While there are some mobile AR …
Imagine with the Teacher: Complete Shape in a Multi-View Distillation Way
Z Luo, L Wang, G Qian, L Lu - arxiv preprint arxiv:2501.19270, 2025 - arxiv.org
Point cloud completion aims to recover the completed 3D shape of an object from its partial
observation caused by occlusion, sensor's limitation, noise, etc. When some key semantic …
observation caused by occlusion, sensor's limitation, noise, etc. When some key semantic …
SPADE: Spectroscopic Photoacoustic Denoising using an Analytical and Data-free Enhancement Framework
F Lin, S Gao, Y Tang, X Ma, R Murakami… - arxiv preprint arxiv …, 2024 - arxiv.org
Spectroscopic photoacoustic (sPA) imaging uses multiple wavelengths to differentiate
chromophores based on their unique optical absorption spectra. This technique has been …
chromophores based on their unique optical absorption spectra. This technique has been …
Spatio-Temporal 3D Point Clouds from WiFi-CSI Data via Transformer Networks
T Määttä, S Sharifipour, MB López… - arxiv preprint arxiv …, 2024 - arxiv.org
Joint communication and sensing (JC\&S) is emerging as a key component in 5G and 6G
networks, enabling dynamic adaptation to environmental changes and enhancing …
networks, enabling dynamic adaptation to environmental changes and enhancing …