On the public citation graph

Human Pose Estimation Using Deep Learning: A Systematic Literature Review

https://doi.org/10.3390/make5040081
0 signed · 230 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/cviu.2000.0897openalex-snapshot
A Survey of Computer Vision-Based Human Motion Capture
inferredcites →https://doi.org/10.1007/978-3-030-01216-8_44openalex-snapshot
Multi-Scale Structure-Aware Network for Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-030-01219-9_12openalex-snapshot
Deeply Learned Compositional Models for Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-030-01228-1_42openalex-snapshot
Pose Partition Networks for Multi-person Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-030-01231-1_29openalex-snapshot
Simple Baselines for Human Pose Estimation and Tracking
inferredcites →https://doi.org/10.1007/978-3-030-01252-6_26openalex-snapshot
MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network
inferredcites →https://doi.org/10.1007/978-3-030-11012-3_17openalex-snapshot
Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking
inferredcites →https://doi.org/10.1007/978-3-030-58542-6_41openalex-snapshot
Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking
inferredcites →https://doi.org/10.1007/978-3-030-58565-5_24openalex-snapshot
Occlusion-Aware Siamese Network for Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-030-58571-6_42openalex-snapshot
Differentiable Hierarchical Graph Grouping for Multi-person Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-030-58580-8_27openalex-snapshot
Learning Delicate Local Representations for Multi-person Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-030-58621-8_29openalex-snapshot
Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-16808-1_21openalex-snapshot
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-319-16865-4_35openalex-snapshot
Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos
inferredcites →https://doi.org/10.1007/978-3-319-46466-4_3openalex-snapshot
DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_16openalex-snapshot
Human Pose Estimation Using Deep Consensus Voting
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_29openalex-snapshot
Stacked Hourglass Networks for Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_44openalex-snapshot
Chained Predictions Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1007/s00138-022-01352-4openalex-snapshot
Human pose estimation based on lightweight basicblock
inferredcites →https://doi.org/10.1007/s00521-021-06181-6openalex-snapshot
On unifying deep learning and edge computing for human motion analysis in exergames development
inferredcites →https://doi.org/10.1007/s00530-022-00980-0openalex-snapshot
A comprehensive survey on human pose estimation approaches
inferredcites →https://doi.org/10.1007/s00530-022-01019-0openalex-snapshot
2D Human pose estimation: a survey
inferredcites →https://doi.org/10.1007/s11042-016-3944-7openalex-snapshot
Multiresolution coding of motion capture data for real-time multimedia applications
inferredcites →https://doi.org/10.1007/s11227-021-04184-7openalex-snapshot
Human pose, hand and mesh estimation using deep learning: a survey
inferredcites →https://doi.org/10.1007/s11704-019-8266-2openalex-snapshot
Multipath affinage stacked—hourglass networks for human pose estimation
inferredcites →https://doi.org/10.1007/s12652-020-02347-7openalex-snapshot
Uniting holistic and part-based attitudes for accurate and robust deep human pose estimation
inferredcites →https://doi.org/10.1007/s13369-021-05838-7openalex-snapshot
Progress of IoT Research Technologies and Applications Serving Hajj and Umrah
inferredcites →https://doi.org/10.1016/j.aci.2017.05.004openalex-snapshot
An analytical study of mobile applications for Hajj and Umrah services
inferredcites →https://doi.org/10.1016/j.aei.2022.101785openalex-snapshot
LDNet: Lightweight dynamic convolution network for human pose estimation
inferredcites →https://doi.org/10.1016/j.cviu.2006.08.002openalex-snapshot
A survey of advances in vision-based human motion capture and analysis
inferredcites →https://doi.org/10.1016/j.cviu.2019.102897openalex-snapshot
Monocular human pose estimation: A survey of deep learning-based methods
inferredcites →https://doi.org/10.1016/j.cviu.2022.103509openalex-snapshot
SimpleCut: A simple and strong 2D model for multi-person pose estimation
inferredcites →https://doi.org/10.1016/j.imavis.2021.104282openalex-snapshot
A review of deep learning techniques for 2D and 3D human pose estimation
inferredcites →https://doi.org/10.1016/j.jksuci.2021.08.001openalex-snapshot
A study on generic object detection with emphasis on future research directions
inferredcites →https://doi.org/10.1016/j.jvcir.2015.06.013openalex-snapshot
A survey of human pose estimation: The body parts parsing based methods
inferredcites →https://doi.org/10.1016/j.jvcir.2021.103055openalex-snapshot
Human pose estimation and its application to action recognition: A survey
inferredcites →https://doi.org/10.1016/j.neucom.2019.01.104openalex-snapshot
Densely connected attentional pyramid residual network for human pose estimation
inferredcites →https://doi.org/10.1016/j.neucom.2021.10.073openalex-snapshot
Joint usage of global and local attentions in hourglass network for human pose estimation
inferredcites →https://doi.org/10.1016/j.patcog.2019.107074openalex-snapshot
Cluster-wise learning network for multi-person pose estimation
inferredcites →https://doi.org/10.1016/j.patcog.2020.107258openalex-snapshot
Exploring temporal consistency for human pose estimation in videos
inferredcites →https://doi.org/10.1016/j.patcog.2020.107410openalex-snapshot
Structure-aware human pose estimation with graph convolutional networks
inferredcites →https://doi.org/10.1016/j.patcog.2021.108046openalex-snapshot
Monocular multi-person pose estimation: A survey
inferredcites →https://doi.org/10.1016/j.patrec.2021.03.028openalex-snapshot
AnimePose: Multi-person 3D pose estimation and animation
inferredcites →https://doi.org/10.1109/access.2020.3010248openalex-snapshot
The Progress of Human Pose Estimation: A Survey and Taxonomy of Models Applied in 2D Human Pose Estimation
inferredcites →https://doi.org/10.1109/access.2021.3118207openalex-snapshot
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation Using Accelerated Neuroevolution With Weight Transfer
inferredcites →https://doi.org/10.1109/ccet50901.2020.9213131openalex-snapshot
2D Human Pose Estimation from Monocular Images: A Survey
inferredcites →https://doi.org/10.1109/cvpr.2011.5995318openalex-snapshot
Learning effective human pose estimation from inaccurate annotation
inferredcites →https://doi.org/10.1109/cvpr.2013.471openalex-snapshot
MODEC: Multimodal Decomposable Models for Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr.2014.214openalex-snapshot
DeepPose: Human Pose Estimation via Deep Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2014.471openalex-snapshot
2D Human Pose Estimation: New Benchmark and State of the Art Analysis
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298734openalex-snapshot
Joint action recognition and pose estimation from video
inferredcites →https://doi.org/10.1109/cvpr.2015.7298740openalex-snapshot
Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation
inferredcites →https://doi.org/10.1109/cvpr.2016.334openalex-snapshot
Personalizing Human Video Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr.2016.511openalex-snapshot
Convolutional Pose Machines
inferredcites →https://doi.org/10.1109/cvpr.2016.512openalex-snapshot
Human Pose Estimation with Iterative Error Feedback
inferredcites →https://doi.org/10.1109/cvpr.2016.533openalex-snapshot
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.142openalex-snapshot
ArtTrack: Articulated Multi-Person Tracking in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2017.143openalex-snapshot
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
inferredcites →https://doi.org/10.1109/cvpr.2017.495openalex-snapshot
PoseTrack: Joint Multi-person Pose Estimation and Tracking
inferredcites →https://doi.org/10.1109/cvpr.2017.590openalex-snapshot
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos
inferredcites →https://doi.org/10.1109/cvpr.2017.634openalex-snapshot
Aggregated Residual Transformations for Deep Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00044openalex-snapshot
Detect-and-Track: Efficient Pose Estimation in Videos
inferredcites →https://doi.org/10.1109/cvpr.2018.00542openalex-snapshot
PoseTrack: A Benchmark for Human Pose Estimation and Tracking
inferredcites →https://doi.org/10.1109/cvpr.2018.00546openalex-snapshot
LSTM Pose Machines
inferredcites →https://doi.org/10.1109/cvpr.2018.00742openalex-snapshot
Cascaded Pyramid Network for Multi-person Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr.2019.00120openalex-snapshot
Does Learning Specific Features for Related Parts Help Human Pose Estimation?
inferredcites →https://doi.org/10.1109/cvpr.2019.00363openalex-snapshot
Fast Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr.2019.00475openalex-snapshot
Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields
inferredcites →https://doi.org/10.1109/cvpr.2019.00581openalex-snapshot
Multi-Person Articulated Tracking With Spatial and Temporal Embeddings
inferredcites →https://doi.org/10.1109/cvpr.2019.00584openalex-snapshot
Deep High-Resolution Representation Learning for Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr.2019.00796openalex-snapshot
PoseFix: Model-Agnostic General Human Pose Refinement Network
inferredcites →https://doi.org/10.1109/cvpr.2019.01112openalex-snapshot
CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark
inferredcites →https://doi.org/10.1109/cvpr.2019.01225openalex-snapshot
PifPaf: Composite Fields for Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00543openalex-snapshot
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00574openalex-snapshot
The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00706openalex-snapshot
UniPose: Unified Human Pose Estimation in Single Images and Videos
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00712openalex-snapshot
Distribution-Aware Coordinate Representation for Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01110openalex-snapshot
Combining Detection and Tracking for Human Pose Estimation in Videos
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00059openalex-snapshot
Deep Dual Consecutive Network for Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00251openalex-snapshot
Unsupervised Human Pose Estimation through Transforming Shape Templates
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00798openalex-snapshot
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01030openalex-snapshot
Lite-HRNet: A Lightweight High-Resolution Network
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01306openalex-snapshot
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr52688.2022.02029openalex-snapshot
PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01643openalex-snapshot
Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video
inferredcites →https://doi.org/10.1109/cvprw.2014.78openalex-snapshot
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network
inferredcites →https://doi.org/10.1109/cvprw.2017.20openalex-snapshot
Athlete Pose Estimation by a Global-Local Network
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00525openalex-snapshot
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
inferredcites →https://doi.org/10.1109/iccv.2013.280openalex-snapshot
From Actemes to Action: A Strongly-Supervised Representation for Detailed Action Understanding
inferredcites →https://doi.org/10.1109/iccv.2013.396openalex-snapshot
Towards Understanding Action Recognition
inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot
Fast R-CNN
inferredcites →https://doi.org/10.1109/iccv.2015.222openalex-snapshot
Flowing ConvNets for Human Pose Estimation in Videos
inferredcites →https://doi.org/10.1109/iccv.2017.137openalex-snapshot
Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2017.144openalex-snapshot
Learning Feature Pyramids for Human Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2017.256openalex-snapshot
RMPE: Regional Multi-person Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2017.284openalex-snapshot
Compositional Human Pose Regression
inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot
Mask R-CNN
inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/iccv.2019.00704openalex-snapshot
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos
inferredcites →https://doi.org/10.1109/iccv48922.2021.01084openalex-snapshot
Human Pose Regression with Residual Log-likelihood Estimation
inferredcites →https://doi.org/10.1109/iccv48922.2021.01105openalex-snapshot
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation
inferredcites →https://doi.org/10.1109/iccv48922.2021.01151openalex-snapshot
Motion Adaptive Pose Estimation from Compressed Videos
inferredcites →https://doi.org/10.1109/iccv48922.2021.01164openalex-snapshot
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation
inferredcites →https://doi.org/10.1109/icmew53276.2021.9456000openalex-snapshot
Self-Supervised Learning for Human Pose Estimation in Sports
inferredcites →https://doi.org/10.1109/mnet.014.2000523openalex-snapshot
Abnormal Behavior Learning Based on Edge Computing toward a Crowd Monitoring System
inferredcites →https://doi.org/10.1109/tcsvt.2018.2858828openalex-snapshot
Human Pose Estimation in Video via Structured Space Learning and Halfway Temporal Evaluation
inferredcites →https://doi.org/10.1109/tcsvt.2022.3209160openalex-snapshot
Fast CNN-Based Single-Person 2D Human Pose Estimation for Autonomous Systems
inferredcites →https://doi.org/10.1109/tcsvt.2022.3215564openalex-snapshot
Hierarchical Associative Encoding and Decoding for Bottom-Up Human Pose Estimation
inferredcites →https://doi.org/10.1109/thms.2022.3219242openalex-snapshot
Vision-Based Human Pose Estimation via Deep Learning: A Survey
inferredcites →https://doi.org/10.1109/tim.2023.3286000openalex-snapshot
Visual–Inertial Fusion-Based Human Pose Estimation: A Review
inferredcites →https://doi.org/10.1109/tip.2016.2639441openalex-snapshot
ORGM: Occlusion Relational Graphical Model for Human Pose Estimation
inferredcites →https://doi.org/10.1109/tmm.2022.3159111openalex-snapshot
Grouping by Center: Predicting Centripetal Offsets for the Bottom-up Human Pose Estimation
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2022.3197352openalex-snapshot
ZoomNAS: Searching for Whole-body Human Pose Estimation in the Wild
inferredcites →https://doi.org/10.1109/wacv.2018.00052openalex-snapshot
A Greedy Part Assignment Algorithm for Real-Time Multi-person 2D Pose Estimation
inferredcites →https://doi.org/10.1109/wacvw54805.2022.00019openalex-snapshot
Modelling Ambiguous Assignments for Multi-Person Tracking in Crowds
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3343031.3350984openalex-snapshot
POINet
inferredcites →https://doi.org/10.1145/3355612openalex-snapshot
AMIL
inferredcites →https://doi.org/10.1145/3470482.3479633openalex-snapshot
Human Pose Estimation for Training Assistance
inferredcites →https://doi.org/10.1145/3474085.3475233openalex-snapshot
Semantic-aware Transfer with Instance-adaptive Parsing for Crowded Scenes Pose Estimation
inferredcites →https://doi.org/10.1145/3503464openalex-snapshot
FasterPose: A Faster Simple Baseline for Human Pose Estimation
inferredcites →https://doi.org/10.1145/3519305openalex-snapshot
GLPose: Global-Local Representation Learning for Human Pose Estimation
inferredcites →https://doi.org/10.1145/3524497openalex-snapshot
Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
inferredcites →https://doi.org/10.1145/3533384openalex-snapshot
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models
inferredcites →https://doi.org/10.1145/3581783.3612236openalex-snapshot
Lightweight Super-Resolution Head for Human Pose Estimation
inferredcites →https://doi.org/10.1145/3603618openalex-snapshot
Deep Learning-based Human Pose Estimation: A Survey
inferredcites →https://doi.org/10.1159/000520732openalex-snapshot
Video-Based Pose Estimation for Gait Analysis in Stroke Survivors during Clinical Assessments: A Proof-of-Concept Study
inferredcites →https://doi.org/10.12785/ijcds/100181openalex-snapshot
Review on Human Pose Estimation and Human Body Joints Localization
inferredcites →https://doi.org/10.1609/aaai.v36i2.20089openalex-snapshot
REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos
inferredcites →https://doi.org/10.20448/808.2.1.9.18openalex-snapshot
Data Visualization to Explore Improving Decision-Making within Hajj Services
inferredcites →https://doi.org/10.23919/apsipa.2018.8659538openalex-snapshot
Self Adversarial Training for Human Pose Estimation
inferredcites →https://doi.org/10.2478/jaiscr-2022-0019openalex-snapshot
Combined YOLOv5 and HRNet for High Accuracy 2D Keypoint and Human Pose Estimation
inferredcites →https://doi.org/10.26599/tst.2018.9010100openalex-snapshot
Deep learning based 2D human pose estimation: A survey
inferredcites →https://doi.org/10.3390/app122211587openalex-snapshot
Classification of the Human Protein Atlas Single Cell Using Deep Learning
inferredcites →https://doi.org/10.3390/electronics12051165openalex-snapshot
Hybrid Classifiers for Spatio-Temporal Abnormal Behavior Detection, Tracking, and Recognition in Massive Hajj Crowds
inferredcites →https://doi.org/10.3390/s140304189openalex-snapshot
A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery
inferredcites →https://doi.org/10.3390/s16121966openalex-snapshot
Human Pose Estimation from Monocular Images: A Comprehensive Survey
inferredcites →https://doi.org/10.3390/s21185996openalex-snapshot
A Systematic Review of the Application of Camera-Based Human Pose Estimation in the Field of Sport and Physical Exercise
inferredcites →https://doi.org/10.3390/s22145419openalex-snapshot
Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications
inferredcites →https://doi.org/10.35444/ijana.2020.11069openalex-snapshot
Realtime Multi-Person 2D Pose Estimation
inferredcites →https://doi.org/10.48550/arxiv.1406.2984openalex-snapshot
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
inferredcites →https://doi.org/10.48550/arxiv.1407.3399openalex-snapshot
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations
inferredcites →https://doi.org/10.48550/arxiv.1905.03912openalex-snapshot
Multi-scale Aggregation R-CNN for 2D Multi-person Pose Estimation
inferredcites →https://doi.org/10.5244/c.24.12openalex-snapshot
Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cav.70164openalex-snapshot
Mamba‐Enhanced Graph Convolutional Network for Skeleton‐Based Stereoscopic Hand Gesture Recognition in Augmented Reality
inferred← citeshttps://doi.org/10.1007/978-3-031-67256-9_10openalex-snapshot
Artificial Intelligence-Based Motion Capture: Current Technologies, Applications and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-032-00232-7_13openalex-snapshot
Comparative Evaluation of MediaPipe and YOLOv8 for Real-Time Pose Estimation
inferred← citeshttps://doi.org/10.1007/978-3-032-03527-1_30openalex-snapshot
AI-Driven 3D Motion Capture and Human Body Detection
inferred← citeshttps://doi.org/10.1007/978-981-95-0140-3_46openalex-snapshot
Multi-person Activity Recognition Using YOLOv8 Pose Estimation and Ensemble Classification
inferred← citeshttps://doi.org/10.1007/978-981-95-5132-3_13openalex-snapshot
Opportunities and Challenges of Machine Learning in Sports
inferred← citeshttps://doi.org/10.1007/s00371-024-03547-4openalex-snapshot
Digital human and embodied intelligence for sports science: advancements, opportunities and prospects
inferred← citeshttps://doi.org/10.1007/s10462-025-11344-1openalex-snapshot
A comprehensive survey on pose estimation and tracking in sports: methodologies, datasets, challenges, and future directions
inferred← citeshttps://doi.org/10.1007/s10462-025-11430-4openalex-snapshot
A survey on deep learning for 2D and 3D human pose estimation
inferred← citeshttps://doi.org/10.1007/s42979-024-02785-6openalex-snapshot
Insights on the Distribution of Nonverbal and Verbal Oral Presentation Skills in an Educational Institution
inferred← citeshttps://doi.org/10.1007/s44443-025-00385-9openalex-snapshot
Difference-attention graph convolutional network for skeleton-based gesture recognition
inferred← citeshttps://doi.org/10.1016/j.actaastro.2025.04.016openalex-snapshot
Robust and efficient single-CNN-based spacecraft relative pose estimation from monocular images
inferred← citeshttps://doi.org/10.1016/j.ast.2024.109700openalex-snapshot
Closed-loop AI-aided image-based GNC for autonomous inspection of uncooperative space objects
inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110549openalex-snapshot
Real-time deep learning framework for physical therapy motion evaluation using mediapipe pose and LSTM-CNN architectures
inferred← citeshttps://doi.org/10.1016/j.gaitpost.2025.04.016openalex-snapshot
Reliability and validity of current computer vision based motion capture systems in gait analysis: A systematic review
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e39977openalex-snapshot
A comprehensive analysis of the machine learning pose estimation models used in human movement and posture analyses: A narrative review
inferred← citeshttps://doi.org/10.1016/j.jbmo.2026.100010openalex-snapshot
Effects of viewing geometry on the validity of markerless video-based estimation of spatiotemporal gait parameters
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131004openalex-snapshot
Predicting occluded skeletal joints via tracking-based feature extraction
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131309openalex-snapshot
Real-time human pose estimation and tracking on monocular videos: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.procs.2026.07.201openalex-snapshot
Algorithms for Anomaly Recognition and Correction of Motion Posture Integrating YOLOv9 and Keypoint Detection
inferred← citeshttps://doi.org/10.1016/j.sbsr.2025.100749openalex-snapshot
TraxVBF: A hybrid transformer-xLSTM framework for EMG signal processing and assistive technology development in rehabilitation
inferred← citeshttps://doi.org/10.1049/cvi2.70024openalex-snapshot
CNN‐Based Flank Predictor for Quadruped Animal Species
inferred← citeshttps://doi.org/10.1055/a-2577-2739openalex-snapshot
Tracking Methods in Sports: a Review of Advances, Quality, and Challenges in Performance Data
inferred← citeshttps://doi.org/10.1063/5.0329782openalex-snapshot
A human pose estimation system for recognizing poomsae moves using YOLOv8
inferred← citeshttps://doi.org/10.1080/02640414.2025.2576412openalex-snapshot
Unlocking the potential of video-based markerless motion analysis to study world-class sporting performance
inferred← citeshttps://doi.org/10.1080/23311886.2025.2474863openalex-snapshot
The NovelHAD algorithm to detect presence of human activity in videos based on MediaPipe pose and human landmarks
inferred← citeshttps://doi.org/10.1080/24751839.2024.2331866openalex-snapshot
Deep learning-based human pose estimation towards artworks classification
inferred← citeshttps://doi.org/10.1080/29966892.2026.2644035openalex-snapshot
A deep learning-based computer vision approach for crowd segmentation: a hospitality case study
inferred← citeshttps://doi.org/10.1088/1742-6596/3180/1/012006openalex-snapshot
Human Pose-Based Unusual Activities Recognition in Developmental Disability Support Systems
inferred← citeshttps://doi.org/10.1108/ijicc-07-2025-0417openalex-snapshot
A review of learner posture recognition for smart education
inferred← citeshttps://doi.org/10.1109/access.2024.3476196openalex-snapshot
WideHRNet: An Efficient Model for Human Pose Estimation Using Wide Channels in Lightweight High-Resolution Network
inferred← citeshttps://doi.org/10.1109/access.2024.3508812openalex-snapshot
Applying Deep Learning for Occluded Uterus and Fallopian Tube Detection for Laparoscopic Tubal Sterilization
inferred← citeshttps://doi.org/10.1109/access.2025.3567337openalex-snapshot
Reported Challenges in Deep Learning-Based Human Pose Estimation: A Systematic Review
inferred← citeshttps://doi.org/10.1109/fg59268.2024.10581992openalex-snapshot
OpenThermalPose: An Open-Source Annotated Thermal Human Pose Dataset and Initial YOLOv8-Pose Baselines
inferred← citeshttps://doi.org/10.1109/gseact68539.2026.11620006openalex-snapshot
Comparative Analysis of Self-Directed Vehicle Object Detection Using Robotic Posture Indexingbased RPN and R-CNN-HRNet
inferred← citeshttps://doi.org/10.1109/ic2nc67409.2025.11376446openalex-snapshot
FitGenix – A Deep Learning-based Workout Tracking System with Diet and Workout Suggestion
inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10726249openalex-snapshot
Advancements in Cricket Shot Detection: Integrating Human Pose Estimation and Deep Learning for Automated Analysis
inferred← citeshttps://doi.org/10.1109/icfact66887.2026.11518149openalex-snapshot
Exploring Quantum Convolutional Neural Networks for 2D Human Pose Estimation using Synthetic Data
inferred← citeshttps://doi.org/10.1109/icoici65217.2025.11252536openalex-snapshot
Real-Time Pose Detection for Cardiac Rehabilitation using Flutter
inferred← citeshttps://doi.org/10.1109/icra55743.2025.11128613openalex-snapshot
Systematic Comparison of Projection Methods for Monocular 3D Human Pose Estimation on Fisheye Images
inferred← citeshttps://doi.org/10.1109/incet61516.2024.10593590openalex-snapshot
An Improved Approach for Yoga Pose Estimation of Images
inferred← citeshttps://doi.org/10.1109/isivc69944.2026.11574208openalex-snapshot
A Descriptive Mapping Review of Computer Vision Preprocessing and Pose Estimation Techniques in Sports Video Analysis
inferred← citeshttps://doi.org/10.1109/ismsit67332.2025.11268158openalex-snapshot
Real-time Pose Recognition Using Smartphone-Friendly Computer Vision
inferred← citeshttps://doi.org/10.1109/isriti68345.2025.11393277openalex-snapshot
Real Time Detection of Four Essential Bodybuilding Poses Using YOLOv11-Pose for Athlete Training Systems
inferred← citeshttps://doi.org/10.1109/issatk69667.2026.11566878openalex-snapshot
Comparative Analysis of Deep Sequential Models and Machine Learning Techniques for Human Pose Classification
inferred← citeshttps://doi.org/10.1109/ncim65934.2025.11160287openalex-snapshot
Advancing Deepfake Detection: An Optimized Neural Network Model with Keyframe Analysis
inferred← citeshttps://doi.org/10.1109/nsens65807.2025.11428140openalex-snapshot
Comparison of Four Classifiers Using Keypoints Technique for BabyPose in-Crib
inferred← citeshttps://doi.org/10.1109/ro-man60168.2024.10731179openalex-snapshot
Generating and Evaluating Synthetic Data in Virtual Reality Simulation Environments for Pose Estimation
inferred← citeshttps://doi.org/10.1109/tbiom.2025.3575499openalex-snapshot
OpenThermalPose2: Extending the Open-Source Annotated Thermal Human Pose Dataset With More Data, Subjects, and Poses
inferred← citeshttps://doi.org/10.1109/tcs64526.2024.11025384openalex-snapshot
Optimizing Sprint Start Performance: A Study on Human Pose Estimation with Frequency Domain Integration
inferred← citeshttps://doi.org/10.1109/wccct69960.2026.11549659openalex-snapshot
Human Pose Estimation and Skeleton-Based Action Recognition: A Systematic Review of 2D/3D Deep Learning Approaches
inferred← citeshttps://doi.org/10.1117/12.3013776openalex-snapshot
Human pose estimation and gait analysis with convolutional neural networks for Alzheimer’s disease detection
inferred← citeshttps://doi.org/10.1142/s0219519426400427openalex-snapshot
APPLICATION OF CONVOLUTIONAL NEURAL NETWORK-BASED VOLLEYBALL TRAINING UNDER ARTIFICIAL INTELLIGENCE
inferred← citeshttps://doi.org/10.1142/s0219843625400080openalex-snapshot
Learning Behavior Analysis in the Classroom Based on Deep Learning
inferred← citeshttps://doi.org/10.1145/3728483.3760196openalex-snapshot
Harvesting Temporal Correlation in Large Vision-Language Models: Using Pose Estimation as a Case Study
inferred← citeshttps://doi.org/10.1145/3801438.3806978openalex-snapshot
The Application of AI based Self Attention Object Detection Model in Basketball Teaching
inferred← citeshttps://doi.org/10.1145/3803291.3803324openalex-snapshot
Beyond Recognition: A Hybrid Semantic-Vision Framework for Intent-Aware Gesture Recognition on Pepper in Dementia Care
inferred← citeshttps://doi.org/10.1177/09610006261468376openalex-snapshot
Human pose estimation in library and information science: An exploratory case study of joint attention during virtual storytimes
inferred← citeshttps://doi.org/10.1186/s13018-025-06640-zopenalex-snapshot
Artificial intelligence in postural management: a critical review of detection, correction, and clinical applicability
inferred← citeshttps://doi.org/10.14445/23488379/ijeee-v11i12p108openalex-snapshot
Integrating Human Pose Regression with Motion Analysis and Lightweight Edge Solutions for Advanced Pedestrian Detection
inferred← citeshttps://doi.org/10.2196/59141openalex-snapshot
Home-Based, Low-Intensity, Gamification-Based, Interactive Physical-Cognitive Training for Older Adults Using the ADDIE Model: Design, Development, and Evaluation of User Experience
inferred← citeshttps://doi.org/10.23919/indiacom66777.2025.11115840openalex-snapshot
Learning Shape Priors: A Yoga Posture Recognition
inferred← citeshttps://doi.org/10.2478/ijssis-2024-0005openalex-snapshot
Adaptive block size selection in a hybrid image compression algorithm employing the DCT and SVD
inferred← citeshttps://doi.org/10.32604/cmc.2024.051556openalex-snapshot
BDPartNet: Feature Decoupling and Reconstruction Fusion Network for Infrared and Visible Image
inferred← citeshttps://doi.org/10.3389/frsen.2026.1730222openalex-snapshot
A multi-feature fusion based remote sensing inversion method for farmland shelterbelts
inferred← citeshttps://doi.org/10.3390/app14104150openalex-snapshot
AI-Driven Privacy in Elderly Care: Developing a Comprehensive Solution for Camera-Based Monitoring of Older Adults
inferred← citeshttps://doi.org/10.3390/app14177981openalex-snapshot
Student Behavior Recognition in Classroom Based on Deep Learning
inferred← citeshttps://doi.org/10.3390/app16010229openalex-snapshot
A 2D Hand Pose Estimation System Accuracy for Finger Tapping Test Monitoring: A Pilot Study
inferred← citeshttps://doi.org/10.3390/app16010555openalex-snapshot
Automating the Evaluation of Artificial Respiration: A Computer Vision Approach
inferred← citeshttps://doi.org/10.3390/app16094497openalex-snapshot
A Comprehensive Review of Position and Movement Visual Monitoring Systems with an Emphasis on AI Methods
inferred← citeshttps://doi.org/10.3390/app16136485openalex-snapshot
Monocular 3D Tennis Serve Analysis and Rule-Based Feedback: System Design and Quasi-Experimental Validation
inferred← citeshttps://doi.org/10.3390/asi8040114openalex-snapshot
Development of a System for Recognising and Classifying Motor Activity to Control an Upper-Limb Exoskeleton
inferred← citeshttps://doi.org/10.3390/electronics13040716openalex-snapshot
A Lightweight Context-Aware Feature Transformer Network for Human Pose Estimation
inferred← citeshttps://doi.org/10.3390/electronics14102038openalex-snapshot
HRDS: A High-Dimensional Lightweight Keypoint Detection Network Enhancing HRNet with Dim-Channel and Space Gate Attention Using Kolmogorov-Arnold Networks
inferred← citeshttps://doi.org/10.3390/healthcare13182277openalex-snapshot
Development and Performance of an Artificial Intelligence-Based Deep Learning Model Designed for Evaluating Dental Ergonomics
inferred← citeshttps://doi.org/10.3390/ijms26157180openalex-snapshot
AI-Powered Mice Behavior Tracking and Its Application for Neuronal Manifold Analysis Based on Hippocampal Ensemble Activity in an Alzheimer’s Disease Mice Model
inferred← citeshttps://doi.org/10.3390/make6010028openalex-snapshot
Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education
inferred← citeshttps://doi.org/10.3390/s25113436openalex-snapshot
Towards Intelligent Assessment in Personalized Physiotherapy with Computer Vision
inferred← citeshttps://doi.org/10.3390/sym17091423openalex-snapshot
Geometric Symmetry and Temporal Optimization in Human Pose and Hand Gesture Recognition for Intelligent Elderly Individual Monitoring
inferred← citeshttps://doi.org/10.54097/f4948z63openalex-snapshot
Research Advanced in Human Pose Estimation based on Deep Learning
inferred← citeshttps://doi.org/10.56977/jicce.2025.23.3.188openalex-snapshot
Federated Learning based Human Pose Estimation and Action Recognition Model
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.