Results 81 to 90 of about 2,792,973 (280)

A Graph-Based Approach for 3D Building Model Reconstruction from Airborne LiDAR Point Clouds

Remote Sensing, 2017
3D building model reconstruction is of great importance for environmental and urban applications. Airborne light detection and ranging (LiDAR) is a very useful data source for acquiring detailed geometric and topological information of building objects ...
Bin Wu, Bailang Yu, Qiusheng Wu, Shenjun Yao, Feng Zhao, Weiqing Mao, Jianping Wu   +6 more
doaj   +1 more source

Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction [PDF]

, 2023
D scene graphs are an emerging 3D scene representation, that models both the objects present in the scene as well as their relationships. However, learning 3D scene graphs is a challenging task because it requires not only object labels but also ...
Colosi, Mirco, Hermosilla, Pedro, Koch, Sebastian, Vaskevicius, Narunas, Ropinski, Timo   +4 more
core  

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene

International Journal of Digital Earth
Virtual geographic scenes can significantly facilitate the visualization and comprehension of the real world. However, the multitude of object types and complex relationships they contain make it challenging to display embedded geographic knowledge ...
Yukun Guo, Jun Zhu, Jianlin Wu, Jinbin Zhang, Zhihao Guo, Weilian Li, Heng Zhang   +6 more
doaj   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Incremental3D: Real-time Incremental 3D Scene Generation with Scene Graphs [PDF]

Realistic 3D environments are important for a wide range of applications, including robotics, simulation, virtual reality, and video games. The goal of 3D scene generation is to create spatially structured, semantically meaningful, and visually realistic
Tefera, Yonas T., Deshpande, Nikhil, Gao, Penggang, Caldwell, Darwin G.   +3 more
core   +5 more sources

3D Scene Management Method Combined with Scene Graphs [PDF]

Sensors and Materials, 2021
Wang, Xiang, Shen, Tao, Huo, Liang, Guo, Congnan, Gao, Su   +4 more
openaire   +1 more source

FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understanding

CoRR
Semantic querying in complex 3D scenes through free-form language presents a significant challenge. Existing 3D scene understanding methods use large-scale training data and CLIP to align text queries with 3D semantic features. However, their reliance on predefined vocabulary priors from training data hinders free-form semantic querying.
Zhan, Chenlu, Zhang, Yufei, Wang, Gaoang, Wang, Hongwei   +3 more
openaire   +3 more sources

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Large language model-driven knowledge graph reasoning for enhanced semantic segmentation

Scientific Reports
Urban scene segmentation is essential for 3D city modeling and plays a crucial role in various remote sensing applications, including urban planning and environmental monitoring.
Jinhe Su, Xiaorong Zhang, Yang Luo, Yu Chen, Jinyuan Li, Shuting Chen, Huilin Xu   +6 more
doaj   +1 more source