Results 111 to 120 of about 163,902 (315)

PointSee: Image Enhances Point Cloud

IEEE Transactions on Visualization and Computer Graphics
There is a trend to fuse multi-modal information for 3D object detection (3OD). However, the challenging problems of low lightweightness, poor flexibility of plug-and-play, and inaccurate alignment of features are still not well-solved, when designing multi-modal fusion newtorks.
Lipeng Gu, Xuefeng Yan, Peng Cui, Lina Gong, Haoran Xie, Fu Lee Wang, Jing Qin, Mingqiang Wei   +7 more
openaire   +3 more sources

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

TSINet: A Semantic and Instance Segmentation Network for 3D Tomato Plant Point Clouds [PDF]

Shanshan Ma, Xu Lu, Liang Zhang
openalex   +1 more source

Giga‐Voxel Multiscale Composite Architecture Mirrored Through a Data‐to‐Model Closed‐Loop Digital Twin

Advanced Materials, EarlyView.
Herein, a systematic digital twin workflow tailored for generating high‐fidelity virtual representations of anisotropic composite microstructures and giga‐voxel meso‐structural models is presented, leveraging a harmonious integration of top–down image‐based modeling and bottom–up data‐driven voxel generation.
Siwon Yu, Seungsoo Jang, Young Seok Cho, Seunggyu Park, Jun Yeon Hwang, Soon Hyung Hong, Thomas James Marrow, Kang Taek Lee   +7 more
wiley   +1 more source

Research on a Point Cloud Registration Method Based on Dynamic Neighborhood Features

Applied Sciences
This paper introduces a method that can enhance the accuracy and efficiency of point cloud data registration. This method selects the centroid of the point cloud as the feature point and uses the projected distance of this feature point within the ...
Xinrui Liu, Rutao Wang, Zongsheng Wang
doaj   +1 more source

A Framework for Using Point Cloud Data of Heritage Buildings Toward Geometry Modeling in A BIM Context: A Case Study on Santa Maria La Real De Mave Church

, 2017
Facundo José López, Pedro Martín Lerones, José Llamas, Jaime Gómez‐García‐Bermejo, Eduardo Zalama   +4 more
openalex   +2 more sources

Unfolding and Degradation of Micellar Immunodrug Carriers Derived From End Group Modified Aliphatic Poly(Carbonate)s with Acid‐Responsive Ketal Side Groups

Advanced Materials, EarlyView.
An acid‐responsive polymeric micelle system based of aliphatic poly(carbonate)s with benzyl ketal side chains is designed for targeted immunodrug delivery. It can disassemble in endosomal environments, enabling site‐specific immunoactivation and enhanced biodegradability.
Adrian V. Hauck, Michael Fichter, Laura J. Rosenberger, Jannis Willig, Alexander Fuchs, Felicia Schön, Paul Schneider, Carolina Medina‐Montano, Taufiq Ahmad, Jessica Erlenbusch, Pol Besenius, Leonard Kaps, Matthias Bros, Stephan Grabbe, Volker Mailänder, Jürgen Groll, Lutz Nuhn   +16 more
wiley   +1 more source

Micro-Gear Point Cloud Segmentation Based on Multi-Scale Point Transformer

Applied Sciences
To address the challenges in industrial precision component detection posed by existing point cloud datasets, this research endeavors to amass and construct a point cloud dataset comprising 1101 models of miniature gears.
Yizhou Su, Xunwei Wang, Guanghao Qi, Baozhen Lei   +3 more
doaj   +1 more source

Emergent Motility of Self‐Organized Particle‐Giant Unilamellar Vesicle Assembly

Advanced Materials, EarlyView.
Giant unilamellar vesicles (GUVs), when combined with silica particles under alternating electric fields, spontaneously self‐assemble into motile structures. Asymmetric particle decoration induces fluid flows that propel the assemblies, enabling persistent motion and reversible control.
Selcan Karaz, Gaurav Gardi, Mertcan Han, Saadet Fatma Baltaci, Mukrime Birgul Akolpoglu, Metin Sitti   +5 more
wiley   +1 more source

Point Cloud Mamba: Point Cloud Learning via State Space Model

Proceedings of the AAAI Conference on Artificial Intelligence
Recently, state space models have exhibited strong global modeling capabilities and linear computational complexity in contrast to transformers. This research focuses on applying such architecture to more efficiently and effectively model point cloud data globally with linear computational complexity.
Zhang, Tao, Yuan, Haobo, Qi, Lu, Zhang, Jiangning, Zhou, Qianyu, Ji, Shunping, Yan, Shuicheng, Li, Xiangtai   +7 more
openaire   +2 more sources