3D Graph Neural Networks for RGBD Semantic Segmentation

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Gated Graph Sequence Neural NetworksPreprint

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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

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Conditional Random Fields as Recurrent Neural Networks

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Learning Rich Features from RGB-D Images for Object Detection and Segmentation

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BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

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ParseNet: Looking Wider to See BetterPreprint

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Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation

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Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

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Geodesic Convolutional Neural Networks on Riemannian Manifolds

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Semantic Image Segmentation via Deep Parsing Network

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Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images

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Learning shape correspondence with anisotropic convolutional neural networksPreprint

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Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation

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Semantic Object Parsing with Graph LSTM

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Pyramid Scene Parsing NetworkPreprint

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Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

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Holistic Scene Understanding for 3D Object Detection with RGBD Cameras

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Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation

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Semantic Object Parsing with Local-Global Long Short-Term Memory

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LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling

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Unsupervised Joint Feature Learning and Encoding for RGB-D Scene Labeling

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Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

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A Comprehensive Survey on Graph Neural Networks

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Graph neural networks: A review of methods and applications

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Image segmentation using deep learning: A survey

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A Comprehensive Survey on Graph Neural Networks

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PointConv: Deep Convolutional Networks on 3D Point Clouds

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Deep Learning on Graphs: A Survey

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Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs

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DeepGCNs: Can GCNs Go As Deep As CNNs?

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Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud

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Graph Attention Convolution for Point Cloud Semantic Segmentation

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CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation With Transformers

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Pointwise Convolutional Neural Networks

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Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

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PPFNet: Global Context Aware Local Features for Robust 3D Point Matching

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A Brief Survey on Semantic Segmentation with Deep Learning

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Tangent Convolutions for Dense Prediction in 3D

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Edge-Labeling Graph Neural Network for Few-Shot Learning

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Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

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PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

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SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation

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ACNET: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation

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Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation

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Deep Parametric Continuous Convolutional Neural Networks

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3D Object Detection for Autonomous Driving: A Survey

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Deep multimodal data fusion

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Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++

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Synthetic Data for Deep Learning

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Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning

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PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors

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Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation

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Learning Depth with Convolutional Spatial Propagation Network

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Learning Depth with Convolutional Spatial Propagation Network

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Constrained Graph Variational Autoencoders for Molecule DesignPreprint

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Depth-Aware CNN for RGB-D Segmentation

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Graph Neural Networks for Recommender System

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Self-supervised model adaptation for multimodal semantic segmentation

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3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation

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RGBT Salient Object Detection: A Large-Scale Dataset and Benchmark

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Fi-GNN

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Deep vessel segmentation by learning graphical connectivity

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Interpolated Convolutional Networks for 3D Point Cloud Understanding

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Siamese Network for RGB-D Salient Object Detection and Beyond

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GIKT: A Graph-Based Interaction Model for Knowledge Tracing

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JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields

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Graph Neural Network: A Comprehensive Review on Non-Euclidean Space

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Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation

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3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation

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LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting

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DeepGCNs: Making GCNs Go as Deep as CNNs

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ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation

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Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

Lei, H., Akhtar, N., & Mian, A. S. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.2983410 · Cited by 201 · see citing works

Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification

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A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision

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DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications

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SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data

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Deep Reasoning with Knowledge Graph for Social Relationship Understanding

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Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation

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PGDENet: Progressive Guided Fusion and Depth Enhancement Network for RGB-D Indoor Scene Parsing

Zhou, W., Yang, E., Lei, J., Wan, J., & Yu, L. (2022) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2022.3161852 · Cited by 168 · see citing works

A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective

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Explainability Techniques for Graph Convolutional NetworksPreprint

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Multiscale Graph Sample and Aggregate Network With Context-Aware Learning for Hyperspectral Image Classification

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Challenges and Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A Review

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Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation

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Context-Aware Interaction Network for RGB-T Semantic Segmentation

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A survey of graph neural networks in various learning paradigms: methods, applications, and challenges

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Differentiable Graph Module (DGM) for Graph Convolutional Networks

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A Comprehensive Survey on Geometric Deep Learning

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CANet: Co-attention network for RGB-D semantic segmentation

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Unseen Object Instance Segmentation for Robotic Environments

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Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception

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SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds

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Cascade Graph Neural Networks for RGB-D Salient Object Detection

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Bidirectional Projection Network for Cross Dimension Scene Understanding

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Efficient Semantic Scene Completion Network with Spatial Group Convolution

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FRNet: Feature Reconstruction Network for RGB-D Indoor Scene Parsing

Zhou, W., Yang, E., Lei, J., & Yu, L. (2022) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2022.3174338 · Cited by 114 · see citing works

Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection

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PointMixer: MLP-Mixer for Point Cloud Understanding

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Semantics for Robotic Mapping, Perception and Interaction: A Survey

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Geometry-Aware Distillation for Indoor Semantic Segmentation

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Stability and Generalization of Graph Convolutional Neural Networks

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Non-Local Aggregation for RGB-D Semantic Segmentation

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Learning to Act Properly: Predicting and Explaining Affordances from Images

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EGFNet: Edge-Aware Guidance Fusion Network for RGB–Thermal Urban Scene Parsing

Dong, S., Zhou, W., Xu, C., & Yan, W. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3306368 · Cited by 107 · see citing works

PointConv: Deep Convolutional Networks on 3D Point CloudsPreprint

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Introduction to Graph Neural Networks

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Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition

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RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion

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Pattern-Structure Diffusion for Multi-Task Learning

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Know What Your Neighbors Do : 3D Semantic Segmentation of Point Clouds

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Three-Dimensional Structural Geological Modeling Using Graph Neural Networks

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Graph Neural Networks for Molecules

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Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation

Li, D., Shi, G., Wu, Y., Yang, Y., & Zhao, M. (2020) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2020.3023051 · Cited by 91 · see citing works

PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants

Li, D., Li, J., Xiang, S., & Pan, A. (2022) · Plant Phenomics · doi:10.34133/2022/9787643 · Cited by 93 · see citing works

Graph Representation Learning Meets Computer Vision: A Survey

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Social Relation Recognition From Videos via Multi-Scale Spatial-Temporal Reasoning

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A Multi-Level Approach to Waste Object Segmentation

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Depth-Aware Mirror Segmentation

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Graph Signal Processing for Geometric Data and Beyond: Theory and Applications

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Efficient Convolutions for Real-Time Semantic Segmentation of 3D Point Clouds

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Semantic segmentation of point cloud based on graph neural network

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FGCN: Deep Feature-based Graph Convolutional Network for Semantic Segmentation of Urban 3D Point Clouds

Khan, S., Shi, Y., Shahzad, M., & Zhu, X. X. (2020) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw50498.2020.00107 · Cited by 24 · see citing works

Semantic segmentation method for 3D point clouds based on dynamic graph convolution

Liu, X., Wang, J., Qiu, C., & Li, H. (2023) · International Conference on Computer, Artificial Intelligence and Control Engineering (CAICE) · doi:10.1117/12.2681093

A Closer Look at Neighborhoods in Graph Based Point Cloud Scene Semantic Segmentation Networks

Itani, H. (2020) · King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) · doi:10.25781/kaust-k7r09

UGN: U-shape network based on graph convolution for 3D point cloud semantic segmentation

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