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Transformer-Driven Classification of a Nature-Born Complex Dataset Via Reference-Based Data Embedding

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3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation
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Classification of battery slurry by flow signal processing via echo state network model
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Data-driven constitutive model of complex fluids using recurrent neural networks
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Object-level classification of vegetable crops in 3D LiDAR point cloud using deep learning convolutional neural networks
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PCT: Point cloud transformer
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Applications of 3D point cloud data in the construction industry: A fifteen-year review from 2004 to 2018
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Controversies on the mechanism and kinetics of emulsion polymerization: An updated critical review
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ModelNet-O: A large-scale synthetic dataset for occlusion-aware point cloud classification
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Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy
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Multiple temperatures and melting of a colloidal active crystal
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On the Role of Friction and Particle Size Distribution in Granular Packings
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“Dense diffusion” in colloidal glasses: short-ranged long-time self-diffusion as a mechanistic model for relaxation dynamics
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Metastable states and the kinetics of colloid phase separation
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Inverse methods for design of soft materials
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Modeling colloidal interactions that predict equilibrium and non-equilibrium states
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Colloidal glasses and gels: The interplay of bonding and caging
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Phase separation and ripening in a viscoelastic gel
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Predicting molecular ordering in a binary liquid crystal using machine learning
inferredcites →https://doi.org/10.1093/oso/9780198803195.001.0001openalex-snapshot
Computer Simulation of Liquids
inferredcites →https://doi.org/10.1109/cvpr.2015.7298655openalex-snapshot
SUN RGB-D: A RGB-D scene understanding benchmark suite
inferredcites →https://doi.org/10.1109/cvpr.2015.7298801openalex-snapshot
3D ShapeNets: A deep representation for volumetric shapes
inferredcites →https://doi.org/10.1109/cvpr.2017.16openalex-snapshot
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.701openalex-snapshot
OctNet: Learning Deep 3D Representations at High Resolutions
inferredcites →https://doi.org/10.1109/cvpr.2018.00035openalex-snapshot
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00278openalex-snapshot
Recurrent Slice Networks for 3D Segmentation of Point Clouds
inferredcites →https://doi.org/10.1109/cvpr.2019.00344openalex-snapshot
Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling
inferredcites →https://doi.org/10.1109/cvpr.2019.00910openalex-snapshot
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01009openalex-snapshot
Exploring Self-Attention for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01164openalex-snapshot
nuScenes: A Multimodal Dataset for Autonomous Driving
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00477openalex-snapshot
Self-Supervised Learning of Local Features in 3D Point Clouds
inferredcites →https://doi.org/10.1109/iccv.2015.114openalex-snapshot
Multi-view Convolutional Neural Networks for 3D Shape Recognition
inferredcites →https://doi.org/10.1109/iccv.2017.99openalex-snapshot
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
inferredcites →https://doi.org/10.1109/iccv.2019.00859openalex-snapshot
VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation
inferredcites →https://doi.org/10.1109/iccv48922.2021.00007openalex-snapshot
MVTN: Multi-View Transformation Network for 3D Shape Recognition
inferredcites →https://doi.org/10.1109/iros.2015.7353481openalex-snapshot
VoxNet: A 3D Convolutional Neural Network for real-time object recognition
inferredcites →https://doi.org/10.1109/jas.2023.123432openalex-snapshot
Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space
inferredcites →https://doi.org/10.1109/lra.2018.2850061openalex-snapshot
3DmFV: Three-Dimensional Point Cloud Classification in Real-Time Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/m2vip49856.2021.9665104openalex-snapshot
Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features
inferredcites →https://doi.org/10.1109/t-c.1975.224172openalex-snapshot
The Sign/Logarithm Number System
inferredcites →https://doi.org/10.1109/tpami.2022.3179507openalex-snapshot
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
inferredcites →https://doi.org/10.1122/8.0000161openalex-snapshot
Brownian dynamics simulation on orthogonal superposition rheology: Time–shear rate superposition of colloidal gel
inferredcites →https://doi.org/10.1122/8.0000672openalex-snapshot
Brownian dynamics simulation on the parallel superposition rheology of a colloidal gel
inferredcites →https://doi.org/10.1126/science.1093010openalex-snapshot
Improving the Density of Jammed Disordered Packings Using Ellipsoids
inferredcites →https://doi.org/10.1145/3197517.3201301openalex-snapshot
Point convolutional neural networks by extension operators
inferredcites →https://doi.org/10.1145/3326362openalex-snapshot
Dynamic Graph CNN for Learning on Point Clouds
inferredcites →https://doi.org/10.1145/3664647.3681173openalex-snapshot
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
inferredcites →https://doi.org/10.1351/pac-rec-10-06-03openalex-snapshot
Terminology of polymers and polymerization processes in dispersed systems (IUPAC Recommendations 2011)
inferredcites →https://doi.org/10.1609/aaai.v35i9.17018openalex-snapshot
ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification
inferredcites →https://doi.org/10.48550/arxiv.1612.00593openalex-snapshot
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1904.07601openalex-snapshot
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
inferredcites →https://doi.org/10.48550/arxiv.2112.04863openalex-snapshot
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis
inferredcites →https://doi.org/10.48550/arxiv.2201.13027openalex-snapshot
BOAT: Bilateral Local Attention Vision Transformer
inferredcites →https://doi.org/10.48550/arxiv.2404.14966openalex-snapshot
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
inferredcites →https://doi.org/10.52202/075280-1291openalex-snapshot
PointGPT: Auto-regressively Generative Pre-training from Point Clouds
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