Pointwise geometric and semantic learning network on 3D point clouds
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Pointwise geometric and semantic learning network on 3D point clouds
Authors
Keywords
-
Journal
INTEGRATED COMPUTER-AIDED ENGINEERING
Volume -, Issue -, Pages 1-19
Publisher
IOS Press
Online
2019-10-02
DOI
10.3233/ica-190608
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo-Tagging
- (2018) Dongho Kang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Deep Transfer Learning for Image-Based Structural Damage Recognition
- (2018) Yuqing Gao et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- End-to-End Deep Learning Methodology for Real-Time Traffic Network Management
- (2018) Hossein Hashemi et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks
- (2018) Mohammad Amin Nabian et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects
- (2018) Yadong Xue et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A novel unsupervised deep learning model for global and local health condition assessment of structures
- (2018) Mohammad Hossein Rafiei et al. ENGINEERING STRUCTURES
- Simultaneously Discovering and Localizing Common Objects in Wild Images
- (2018) Zhenzhen Wang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network
- (2018) Xincong Yang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- An efficient approach to directly compute the exact Hausdorff distance for 3D point sets
- (2017) Dejun Zhang et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- LSTM: A Search Space Odyssey
- (2017) Klaus Greff et al. IEEE Transactions on Neural Networks and Learning Systems
- A scalable active framework for region annotation in 3D shape collections
- (2016) Li Yi et al. ACM TRANSACTIONS ON GRAPHICS
- Quantitative optimization of interoperability during feature-based data exchange
- (2015) D.J. Zhang et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Learning High-Level Feature by Deep Belief Networks for 3-D Model Retrieval and Recognition
- (2014) Shuhui Bu et al. IEEE TRANSACTIONS ON MULTIMEDIA
- A deep learning approach to the classification of 3D CAD models
- (2014) Fei-wei Qin et al. Journal of Zhejiang University-SCIENCE C-Computers & Electronics
- Interactive shape co-segmentation via label propagation
- (2013) Zizhao Wu et al. COMPUTERS & GRAPHICS-UK
- Fast construction of k-nearest neighbor graphs for point clouds
- (2010) Michael Connor et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- A Concise and Provably Informative Multi-Scale Signature Based on Heat Diffusion
- (2009) Jian Sun et al. COMPUTER GRAPHICS FORUM
- A probabilistic neural network for earthquake magnitude prediction
- (2009) Hojjat Adeli et al. NEURAL NETWORKS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started