Results 61 to 70 of about 381,180 (306)
High-fidelity point cloud completion with low-resolution recovery and noise-aware upsampling
Graphical Models, 2023 Completing an unordered partial point cloud is a challenging task. Existing approaches that rely on decoding a latent feature to recover the complete shape, often lead to the completed point cloud being over-smoothing, losing details, and noisy.
Ren-Wu Li +4 more
doaj +1 more source
Deformable Shape Completion with Graph Convolutional Autoencoders
, 2018 The availability of affordable and portable depth sensors has made scanning objects and people simpler than ever. However, dealing with occlusions and missing parts is still a significant challenge.
Bronstein, Alex +3 more
core +1 more source
Cascaded Refinement Network for Point Cloud Completion [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 CVPR2020
Wang, Xiaogang +2 more
openaire +2 more sources
Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
3D-PCGR: Colored Point Cloud Generation and Reconstruction with Surface and Scale Constraints
Remote SensingIn the field of 3D point cloud data, the 3D representation of objects is often affected by factors such as lighting, occlusion, and noise, leading to issues of information loss and incompleteness in the collected point cloud data.
Chaofeng Yuan +4 more
doaj +1 more source
Profitable Task Allocation in Mobile Cloud Computing
, 2016 We propose a game theoretic framework for task allocation in mobile cloud computing that corresponds to offloading of compute tasks to a group of nearby mobile devices.
Kasera, Sneha Kumar +2 more
core +1 more source
Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
Point completion by a Stack‐Style Folding Network with multi‐scaled graphical features
IET Computer Vision, 2023 Point cloud completion is prevalent due to the insufficient results from current point cloud acquisition equipments, where a large number of point data failed to represent a relatively complete shape.
Yunbo Rao +3 more
doaj +1 more source
An Efficient Bidirectional Point Pyramid Attention Network for 3D Point Cloud Completion
Applied Sciences, 2023 Point cloud completion is a necessary task in real-world applications of recovering a complete geometry from missing regions of 3D objects. Furthermore, model efficiency is of vital importance in computer vision.
Yang Li +3 more
doaj +1 more source
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes
, 2018 We present an Adaptive Octree-based Convolutional Neural Network (Adaptive O-CNN) for efficient 3D shape encoding and decoding. Different from volumetric-based or octree-based CNN methods that represent a 3D shape with voxels in the same resolution, our ...
Liu, Yang +3 more
core +1 more source