3D Graph Neural Networks for RGBD Semantic Segmentation

Deep Residual Learning for Image Recognition

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ImageNet classification with deep convolutional neural networks

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Long Short-Term Memory

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Fully convolutional networks for semantic segmentation

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Semi-supervised classification with graph convolutional networks

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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

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Pyramid Scene Parsing Network

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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

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The graph neural network model

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Multi-scale context aggregation by dilated convolutions

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Affinity-Point Graph Convolutional Network for 3D Point Cloud Analysis

Wang, Y., & Xiao, S. (2022) · Applied Sciences · doi:10.3390/app12115328 · Cited by 2

WasteDet: An Anchor Free Novel Detection Algorithm for improving Waste Management

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ABDPool: Attention-based Differentiable Pooling

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Absolute and Relative Depth-Induced Network for RGB-D Salient Object Detection

Kong, Y., Wang, H., Kong, L., Liu, Y., Yao, C., & Yin, B. (2023) · Sensors · doi:10.3390/s23073611 · Cited by 3

Scene representation using a new two-branch neural network model

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Interactive foreground segmentation and shape reconstruction from RGBD images

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Semantic and Interaction: When Document Image Analysis Meets Computer Vision and Machine Learning

Ramel, J.-Y., & Vincent, N. (2019) · IAPR International Conference on Document Analysis and Recognition (ICDAR) · doi:10.1109/icdar.2019.00192 · Cited by 2

KIL: Knowledge Interactiveness Learning for Joint Depth Estimation and Semantic Segmentation

Zhou, L., Xu, C., Cui, Z., & Yang, J. J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-41404-7_59 · Cited by 2

Deep Surface Normal Estimation on the 2-Sphere with Confidence Guided Semantic Attention

Li, Q., Guo, J. J., Fei, Y., Tang, Q., Sun, W., Zeng, J., & Guo, Y. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58586-0_43 · Cited by 2

Unsupervised spatial-awareness attention-based and multi-scale domain adaption network for point cloud classification

Guo, R., Zhou, Y. Z., Zhao, J., Yao, R., Liu, B., & Zhang, X. (2021) · International Journal of Wavelets Multiresolution and Information Processing · doi:10.1142/s0219691321500077 · Cited by 2

Color Sails: Discrete-Continuous Palettes for Deep Color ExplorationPreprint

Shugrina, M., Kar, A., Singh, K., & Fidler, S. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1806.02918 · Cited by 2

Fast and Accurate: Structure Coherence Component for Face AlignmentPreprint

Zhu, B., Lin, C., Wang, Q., Liao, R., & Qian, C. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.11697 · Cited by 2

Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn NetworkPreprint

Shen, T., Zhang, H., Yuan, D., Xiao, J., & Yang, Y. F. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.12144 · Cited by 2

Learning Data-Driven Propagation Mechanism for Graph Neural Network

Wu, Y., Hu, X., Fan, X., Ma, W., & Gao, Q. (2022) · Electronics · doi:10.3390/electronics12010046 · Cited by 1

BEAST-GNN: A United Bit Sparsity-Aware Accelerator for Graph Neural Networks

Luo, Y., Ding, Y., Tang, Z., Li, K., Li, K., & Liu, C. (2025) · IEEE Transactions on Computers · doi:10.1109/tc.2025.3558587 · Cited by 1

PTFNet: Robotic-Relevant, Single-View Obstacle Footprint Estimation From Sparse and Incomplete Point Clouds

Cop, K. P., & Trzcinski, T. P. (2025) · IEEE Access · doi:10.1109/access.2025.3562671 · Cited by 1

DeSnow-GNN: Spatiotemporal graph neural network for robust LiDAR point cloud denoising in adverse weather

Liao, L., Ding, X., Zhu, K., Mei, L., & Ou, H. (2026) · Advanced Engineering Informatics · doi:10.1016/j.aei.2026.104449 · Cited by 1

Geometric and Semantic Modeling from RGB-D Data

Zhang, S., & Lai, Y. (2019) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-030-28603-3_12 · Cited by 1

Arms and Hands Segmentation for Egocentric Perspective Based on PSPNet and Deeplab

Sarah, H., Clua, E., & Vasconcelos, C. N. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-49695-1_11 · Cited by 1

Deep Video Understanding of Character Relationships in Movies

Lu, Y., Yuliani, A. R., Ishikawa, K., Amorim, R. P., Hartanto, R., Inoue, N., Uto, K., & Shinoda, K. (2020) · Companion Publication of the International Conference on Multimodal Interaction (ICMI Companion) · doi:10.1145/3395035.3425639 · Cited by 1

Multi-enhanced Adaptive Attention Network for RGB- T Salient Object Detection

Hao, H.-Z., Cheng, Y., Ji, Y., Li, Y., & Liu, C. (2022) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn55064.2022.9892551 · Cited by 1

Integrated 3D Structural Element and Damage Identification: Dataset and Benchmarking

Montes, K., Zhang, M., Liu, J., Hajmousa, L., Chen, Z., & Dang, J. (2023) · Lecture notes in civil engineering · doi:10.1007/978-3-031-39117-0_73 · Cited by 1

Research on Three-Dimensional Point Cloud Reconstruction Method Based on Graph Neural Networks

Ma, R., Gao, X., & Song, Z. (2024) · International Conference on Image Processing and Media Computing (ICIPMC) · doi:10.1109/icipmc62364.2024.10586702 · Cited by 1

Improved RGBD semantic segmentation using multi-scale features

Gao, X., Cai, M., & Li, J. (2018) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc.2018.8407734 · Cited by 1

SA-GNN: Stereo Attention and Graph Neural Network for Stereo Image Super-Resolution

Li, H., Liu, Q., & Yang, Y. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87361-5_33 · Cited by 1

A Graphical Convolutional Network-based Method for 3D Point Cloud Classification

Wang, L., Li, J., & Fan, D. (2021) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc52312.2021.9601582 · Cited by 1

Exploring correlation of relationship reasoning for scene graph generation

Tian, P., Mo, H., & Jiang, L. (2022) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-022-01538-2 · Cited by 1

Agrast-6: Abridged VGG-Based Reflected Lightweight Architecture for Binary Segmentation of Depth Images Captured by Kinect

Ryselis, K., Blažauskas, T., Damaševičius, R., & Maskeliūnas, R. (2022) · Sensors · doi:10.3390/s22176354 · Cited by 1

Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and BackPreprint

Simonovsky, M. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1901.08296 · Cited by 1

Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic ScenePreprint

Mei, J., & Zhao, H. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.13926 · Cited by 1

LightConvPoint: convolution for pointsPreprint

Boulch, A., Puy, G., & Marlet, R. (2020) · arXiv (Cornell University) · Cited by 1

Subtractive Perceptrons for Learning Images: A Preliminary Report

Tizhoosh, H. R., Kalra, S., Lifshitz, S., & Babaie, M. (2019) · International Conference on Image Processing Theory, Tools and Applications (IPTA) · doi:10.1109/ipta.2019.8936079

Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth MeshesPreprint

Lin, K., Wang, L., Jin, Y., Liu, Z., & Sun, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.00052

Learning Geocentric Object Pose in Oblique Monocular ImagesPreprint

Christie, G. A., Abujder, R. R. R. M., Foster, K., Hagstrom, S., Hager, G. D., & Brown, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.00729

An Effective Occlusion Edge Prediction Method in Light Field Depth Estimation

Zhou, C., Zhang, Q., Wang, B., Du, Y., Yan, T., & Si, W. (2020) · Communications in computer and information science · doi:10.1007/978-981-15-9739-8_31

Hierarchical Graph-RNNs for Action Detection of Multiple ActivitiesPreprint

Biswas, S., Souri, Y., & Gall, J. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2101.08581

Multi-Modal Input Mode via Graph Neural Networks for Outfit Compatibility

Wu, H., Yan, L., Jin, B., Wenjun, S., & Bin, L. (2021) · International Journal of Performability Engineering · doi:10.23940/ijpe.21.01.p5.5059

Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-DrivingPreprint

Bai, M., Wang, S., Wong, K., Yumer, E., & Urtasun, R. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2101.06865

Two-Stage Relation Constraint for Semantic Segmentation of Point Clouds

Yu, M., Liu, J., Ni, B., & Li, C. (2020) · International Conference on 3D Vision (3DV) · doi:10.1109/3dv50981.2020.00037

Semantic Segmentation of RGB-Z Aerial Imagery Using Convolutional Neural Networks

Mulder, A. (2020) · Research Repository (Delft University of Technology)

Color-indoor: Incorporating Depth into Room Decoration Visualization

Wei, Z., Wei, S., Liu, T., Xu, S., & Zhao, Y. (2021) · International Conference on Artificial Intelligence and Information Systems (ICAIIS) · doi:10.1145/3469213.3470668

Automatic detection of various patterns of calcification distribution on mammograms: a graph convolution network approach (Preprint)Preprint

Yao, M. M.-S., Du, H., Hartman, M., Chan, W. P., & Feng, M. (2021) · doi:10.2196/preprints.32188

Multi-Scale Graph Reasoning Model for Video Social Relation Recognition

许, 飞. (2021) · Computer Science and Application · doi:10.12677/csa.2021.112042

A Fusion Method of 3D Object Detection Graph Neural Network Based on Local and Global Data Augmentation

Zheng, Y., Liu, X., Ruan, K., Zhai, W., Liu, Y., & Gong, N. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-19-3998-3_58

Deep learning architectures for 2D and 3D scene perception

Bao, R. (2021) · MOspace Institutional Repository (University of Missouri) · doi:10.32469/10355/90981

OA-Net: outlier weakening and adaptive voxel encoding-based 3d object detection network

Wang, C., Qin, J., & Fu, X. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-15094-6

GcnSV: A Method Based on Deep Learning of Calling Structural Variations from the Third-Generation Sequencing Data

Huang, M., Wang, H., & Gao, J. (2023) · Communications in computer and information science · doi:10.1007/978-981-99-2449-3_35

Study and Analysis of Visual Saliency Applications Using Graph Neural Networks

Dhara, G., & Kumar, R. K. (2023) · Advances in systems analysis, software engineering, and high performance computing book series · doi:10.4018/978-1-6684-6903-3.ch008

Uma Introdução Amigável às Redes Neurais para Grafos

Silva, T. C. D., Junior, A. H. D. S., & Mesquita, D. P. P. (2023) · Learning and Nonlinear Models · doi:10.21528/lnlm-vol19-no2-art5

Dual Gated Fusion Network with Feature Calibration for Semantic Segmentation

Liu, Y., Yuan, H., & Shao, Z. (2023) · IEEE International Conference on Real-time Computing and Robotics (RCAR) · doi:10.1109/rcar58764.2023.10249020

Detection of 3D Object in Point Cloud: Cloud Semantic Segmentation in Lane Marking

Arya, H., Saxena, P., & Jha, J. (2023) · International Journal on Recent and Innovation Trends in Computing and Communication · doi:10.17762/ijritcc.v11i10s.7645

Gated Bi-View Graph Structure Learning

Wang, X., & Yan, H. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-8076-5_29

Interactive Selection Recommendation Based on the Multi-head Attention Graph Neural Network

Zhang, S., Chen, J., Yao, M., Wu, X., Ge, Y., & Li, S. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-8067-3_33

Adaptive Image Clustering Via Synergistic Integration of Capsule Networks and Dynamic Graph Neural NetworksPreprint

Huang, J., & Chen, C. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4634957

AI Data-Centric 3D Machine Vision for Structural Element and Damage Identification

Zhang, M., Chen, Z., Montes, K., Liu, J., Hajmousa, L., & Dang, J. (2024) · ASCE International Conference on Computing in Civil Engineering (i3CE) · doi:10.1061/9780784485248.103

ÇİZGE ÖĞRENMEDE ÇİZGE SİNİR AĞLARI

Gümüş, H. T., & Eyüpoğlu, C. (2024) · İstanbul Ticaret Üniversitesi Teknoloji ve Uygulamalı Bilimler Dergisi · doi:10.56809/icujtas.1442504

Research on the Improved Graph Convolutional Neural Network Algorithm Based on Historical Data Analysis in the Task of Recommending Attractions on Online Travel Platforms

Yu, C., Zhang, Q., & Wu, X. (2024) · IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE) · doi:10.1109/icsece61636.2024.10729478

Advancing image segmentation using machine learning

Pournima, S., & Kannu, M. A. H. (2025) · AIP conference proceedings · doi:10.1063/5.0263287

Multi-objective Evolutionary Algorithm Based Graph Neural Network Architecture Search

He, L., Liu, X., Xiang, H., & Wang, G. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-4753-8_25

Scene Structure Understanding

Yang, X. S., Yin, B., & Wei, X. (2025) · Springer eBooks · doi:10.1007/978-981-96-3177-3_3

Learning Latent Part-Whole Hierarchies for Point Clouds

Gao, X., Hu, W., & Liao, R. (2025) · International Journal of Computer Vision · doi:10.1007/s11263-025-02533-0 · Cited by 1

Abstract visual reasoning with hybrid relation modeling

Guo, J., Shen, W., Zhao, Y., & Kang, L. (2025) · Displays · doi:10.1016/j.displa.2025.103160

Enhancing Convolutional Neural Networks With Depth-Aware Architectures: a Systolic Array Approach for Efficient Hardware Implementation

Xie, J., Guo, Z., Sun, W., & Chen, S. (2025) · International Conference on Communications, Circuits and Systems · doi:10.1109/icccas65806.2025.11102327

RGB-D Dual Modal Information Complementary Semantic Segmentation Network

Wang, L., Gu, N., Xin, J., & Wang, S. (2023) · Journal of Computer-Aided Design & Computer Graphics · doi:10.3724/sp.j.1089.2023.19592

PCBNet: positional crossing and broad features network for indoor scene semantic segmentation

Hou, H., Wenwen, Z., Zhang, Z., Sun, W., Yang, Y. Y., Liu, G., Haipeng, H., Tianyuan, L., & Li, X. (2025) · The Journal of Supercomputing · doi:10.1007/s11227-025-07982-5

Edge Aware Segmentation Network with Sparse Transformer Fusion for Multimodal Scene Parsing

Wang, C. (2025) · International Conference on Computers, Information Processing and Advanced Education (CIPAE) · doi:10.1109/cipae66821.2025.00063

Intelligent Crosswalk Guidance for Visually Impaired with a Hybrid Framework Combining CNN, Genetic Algorithms, and Fuzzy Control for Enhanced Accessibility

Almajdoub, R. A., Shiba, O. A. A., Sheta, E., & Siddiqui, M. (2026) · Studies in computational intelligence · doi:10.1007/978-3-032-00232-7_59

Research on GNN-based UV Unwrapping Method for 3D Ceramic Models

Li, C., Xiao, X., Nie, Y., & Zhang, Y. (2025) · International Conference on Digital Society and Intelligent Systems (DSInS) · doi:10.1109/dsins68311.2025.11330009

Feature interaction modelling using a similarity-based adaptive graph attention network for click-through rate prediction

Nawaz, A., Xia, Z., & Lu, J. (2026) · Connection Science · doi:10.1080/09540091.2026.2627287

Unsupervised Learning of Neural Implicit Functions from Point Clouds via Graph FilteringPreprint

Tang, F., Liu, A., Xue, R., Liu, B., & Gao, Z. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6301470

Deep Depth from Defocus : Neural Networks for Monocular Depth Estimation

Carvalho, M. (2019) · theses.fr (ABES) · doi:10.70675/4c4df4cbz477az42b5zb2e2z0a8ec821bf74

Classification de données massives de télédétection

Audebert, N. (2018) · theses.fr (ABES) · doi:10.70675/e7e6756dzea11z49c1z99dfz2a794a46b421

Towards Reduced Dose Positron Emission Tomography Imaging Using Sparse Sampling and Machine Learning

Colmeiro, R. R. (2021) · doi:10.70675/bf722efdz54d5z4c97zb1cfz60df79e8d4af

Content-aware HDR tone mapping algorithms

Goswami, A. (2022) · theses.fr (ABES) · doi:10.70675/886fdc43z0105z4a39z9b47zfcc9ed5cb5ab

Learning on graphs and hierarchies

de Almeida, R. P. (2023) · theses.fr (ABES) · doi:10.70675/c6647bbdz7134z4b6azafb7zebddb989ba61

Real-World 3D Data Analysis : Toward Efficiency and Interpretability

Loiseau, R. (2023) · doi:10.70675/c61ef8cdz1fa3z498bz98afz3a90bc170eb2

Applied Deep Learning for the Prediction of Fluid Flows and Multiphysics Modeling

Haber, G. E. (2023) · theses.fr (ABES) · doi:10.70675/b0ec4b24z5585z42a5zb134z27edc5daf191

PointGrad: A Unified Spatially Varying Tensor Gradient Operator for Point Cloud Segmentation

Bao, R., Zhao, Y., & Palaniappan, K. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3686390

Learning on hierarchical trees with Random Forest

Almeida, R., Amsaleg, L., Patrocínio, Z. K. G., Ewa Kijak, C., Malinowski, S., & Guimarães, S. J. F. (2026) · Journal of the Brazilian Computer Society · doi:10.5753/jbcs.2026.4242

Structure-Prior-Guided Multi-Stage Cross-Modal Collaborative Network for RGB-D Semantic Segmentation

Yu, Y., Zhong, Z., Min, F., & Deng, S. (2026) · Journal of Imaging · doi:10.3390/jimaging12080394

Unsupervised Graph Partitioning Framework for Background Suppression in Multi-Query Vehicle Re-Identification

Hu, Y., Hu, Z., & Duan, L.-Y. (2026) · doi:10.1109/cvprf71909.2026.00658

DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications (AICosmo'19 workshop)

Defferrard, M. (2019) · Figshare · doi:10.5281/zenodo.3243380

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

Casas, S., Gulino, C., Liao, R., & Urtasun, R. (2019) · arXiv · doi:10.48550/arxiv.1910.08233 · Cited by 44

Semantic segmentation of point cloud based on graph neural network

Duan, S. (2023) · International Conference on Computer Vision and Pattern Analysis (ICCPA) · doi:10.1117/12.2684181 · Cited by 1

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

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

Guan, S., Li, X., Jin, J., Li, X., & Ge, Y. (2020) · International Conference on Image, Video Processing and Artificial Intelligence (IVPAI) · doi:10.1117/12.2577467