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Mesh Transformer: 3d Temperature Reconstruction for Various Tanks Via a Single Image

https://doi.org/10.2139/ssrn.4683756
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-59719-1_35openalex-extracted
CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/s00170-021-08542-wopenalex-extracted
3D temperature field prediction in direct energy deposition of metals using physics informed neural network
inferredcites →https://doi.org/10.1007/s41095-021-0229-5openalex-extracted
PCT: Point cloud transformer
inferredcites →https://doi.org/10.1016/j.aime.2022.100090openalex-extracted
Development of an artificial neural network (ANN) model to predict the temperature of hot-rolled steel pipes
inferredcites →https://doi.org/10.1016/j.applthermaleng.2022.119269openalex-extracted
Prediction of temperature distribution on piston crown surface of dual-fuel engines via a hybrid neural network
inferredcites →https://doi.org/10.1016/j.asoc.2022.109498openalex-extracted
Global temperature reconstruction of equipment based on the local temperature image using TRe-GAN
inferredcites →https://doi.org/10.1016/j.compeleceng.2021.107261openalex-extracted
YOLOv4_Drone: UAV image target detection based on an improved YOLOv4 algorithm
inferredcites →https://doi.org/10.1016/j.dt.2021.07.001openalex-extracted
Visual-simulation region proposal and generative adversarial network based ground military target recognition
inferredcites →https://doi.org/10.1016/j.engappai.2022.104902openalex-extracted
Temperature field inversion of heat-source systems via physics-informed neural networks
inferredcites →https://doi.org/10.1016/j.geothermics.2022.102547openalex-extracted
Artificial neural network based prediction of reservoir temperature: A case study of Lindian geothermal field, Songliao Basin, NE China
inferredcites →https://doi.org/10.1016/j.icheatmasstransfer.2022.105890openalex-extracted
On the application of physics informed neural networks (PINN) to solve boundary layer thermal-fluid problems
inferredcites →https://doi.org/10.1016/j.ijheatmasstransfer.2020.120626openalex-extracted
Reconstruction of natural convection within an enclosure using deep neural network
inferredcites →https://doi.org/10.1016/j.jag.2021.102650openalex-extracted
DeepUrbanDownscale: A physics informed deep learning framework for high-resolution urban surface temperature estimation via 3D point clouds
inferredcites →https://doi.org/10.1016/j.jcp.2018.10.045openalex-extracted
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
inferredcites →https://doi.org/10.1016/j.jcp.2020.109951openalex-extracted
NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations
inferredcites →https://doi.org/10.1016/j.jcp.2021.110676openalex-extracted
Physics-informed neural networks for solving forward and inverse flow problems via the Boltzmann-BGK formulation
inferredcites →https://doi.org/10.1016/j.jcp.2022.111510openalex-extracted
Physics-informed PointNet: A deep learning solver for steady-state incompressible flows and thermal fields on multiple sets of irregular geometries
inferredcites →https://doi.org/10.1109/access.2021.3116304openalex-extracted
Point Transformer
inferredcites →https://doi.org/10.1109/cac51589.2020.9327027openalex-extracted
A method of laser point temperature detection based on CNN
inferredcites →https://doi.org/10.1109/cvpr.2017.16openalex-extracted
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.1109/eiecs53707.2021.9587956openalex-extracted
Prediction of Furnace Temperature 3D Distribution Based on Deep Belief Network
inferredcites →https://doi.org/10.1109/iccv.2019.00113openalex-extracted
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation
inferredcites →https://doi.org/10.1109/iccv.2019.00988openalex-extracted
Mesh R-CNN
inferredcites →https://doi.org/10.1109/iccv17851.2011openalex-extracted
2011 International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/iccv48922.2021.01595openalex-extracted
Point Transformer
inferredcites →https://doi.org/10.1109/kse53942.2021.9648765openalex-extracted
SST-GCN: Structure aware Spatial-Temporal GCN for 3D Hand Pose Estimation
inferredcites →https://doi.org/10.1145/3415263.3419160openalex-extracted
Accelerating 3D deep learning with PyTorch3D
inferredcites →https://doi.org/10.1609/aaai.v33i01.33018778openalex-extracted
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network
inferredcites →https://doi.org/10.18653/v1/p19-1285openalex-extracted
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
inferredcites →https://doi.org/10.23919/icact51234.2021.9370514openalex-extracted
Sea Surface Temperature Prediction Approach Based on 3D CNN and LSTM with Attention Mechanism
inferredcites →https://doi.org/10.3390/rs14133042openalex-extracted
Prob-POS: A Framework for Improving Visual Explanations from Convolutional Neural Networks for Remote Sensing Image Classification
inferredcites →https://doi.org/10.4018/978-1-7998-1192-3.ch007openalex-extracted
Convolutional Graph Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1612.00593openalex-extracted
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1811.02565openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1902.07153openalex-extracted
Simplifying Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1908.01491openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2202.05476openalex-extracted
inferredcites →https://doi.org/10.1007/978-3-030-58452-8_13openalex-snapshot
End-to-End Object Detection with Transformers
inferredcites →https://doi.org/10.1021/acs.jpca.1c05102openalex-snapshot
Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
inferredcites →https://doi.org/10.1109/cvpr.2019.00344openalex-snapshot
Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.ijheatmasstransfer.2024.126434openalex-snapshot
A novel framework for predicting 3D scene infrared radiation characteristics through AI-enhanced thermodynamic modeling
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