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Personalizing Human Video Pose Estimation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-47969-4_42openalex-snapshot
Recognizing and Tracking Human Action
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_23openalex-snapshot
Unsupervised Video Adaptation for Parsing Human Motion
inferredcites →https://doi.org/10.1007/978-3-319-11752-2_20openalex-snapshot
Test-Time Adaptation for 3D 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/10.1007/978-3-540-88690-7_53openalex-snapshot
Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-642-33712-3_9openalex-snapshot
Has My Algorithm Succeeded? An Evaluator for Human Pose Estimators
inferredcites →https://doi.org/10.1007/978-3-642-33783-3_21openalex-snapshot
Scene Semantics from Long-Term Observation of People
inferredcites →https://doi.org/10.1007/s11263-011-0480-9openalex-snapshot
Upper Body Detection and Tracking in Extended Signing Sequences
inferredcites →https://doi.org/10.1016/j.patcog.2012.09.006openalex-snapshot
Adaptive occlusion state estimation for human pose tracking under self-occlusions
inferredcites →https://doi.org/10.1109/cvpr.2005.335openalex-snapshot
Strike a Pose: Tracking People by Finding Stylized Poses
inferredcites →https://doi.org/10.1109/cvpr.2006.158openalex-snapshot
Interactive Feature Tracking using K-D Trees and Dynamic Programming
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.2011.5995741openalex-snapshot
Articulated pose estimation with flexible mixtures-of-parts
inferredcites →https://doi.org/10.1109/cvpr.2012.6247801openalex-snapshot
A database for fine grained activity detection of cooking activities
inferredcites →https://doi.org/10.1109/cvpr.2013.122openalex-snapshot
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition
inferredcites →https://doi.org/10.1109/cvpr.2013.308openalex-snapshot
Self-Paced Learning for Long-Term Tracking
inferredcites →https://doi.org/10.1109/cvpr.2013.429openalex-snapshot
Articulated Pose Estimation Using Discriminative Armlet Classifiers
inferredcites →https://doi.org/10.1109/cvpr.2013.459openalex-snapshot
Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation
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.2013.82openalex-snapshot
Poselet Conditioned Pictorial Structures
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.2014.302openalex-snapshot
Mixing Body-Part Sequences for Human Pose Estimation
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.2015.7299020openalex-snapshot
Parsing occluded people by flexible compositions
inferredcites →https://doi.org/10.1109/cvprw.2015.7301337openalex-snapshot
Articulated pose estimation with tiny synthetic videos
inferredcites →https://doi.org/10.1109/fg.2015.7163099openalex-snapshot
Human pose search using deep poselets
inferredcites →https://doi.org/10.1109/iccv.2003.1238364openalex-snapshot
Using temporal coherence to build models of animals
inferredcites →https://doi.org/10.1109/iccv.2009.5459192openalex-snapshot
Efficient discriminative learning of parts-based models
inferredcites →https://doi.org/10.1109/iccv.2009.5459303openalex-snapshot
Poselets: Body part detectors trained using 3D human pose annotations
inferredcites →https://doi.org/10.1109/iccv.2013.175openalex-snapshot
DeepFlow: Large Displacement Optical Flow with Deep Matching
inferredcites →https://doi.org/10.1109/iccv.2013.308openalex-snapshot
PixelTrack: A Fast Adaptive Algorithm for Tracking Non-rigid Objects
inferredcites →https://doi.org/10.1109/iccv.2013.411openalex-snapshot
Estimating Human Pose with Flowing Puppets
inferredcites →https://doi.org/10.1109/iccv.2013.433openalex-snapshot
Strong Appearance and Expressive Spatial Models for Human Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2015.222openalex-snapshot
Flowing ConvNets for Human Pose Estimation in Videos
inferredcites →https://doi.org/10.1109/iccvw.2011.6130387openalex-snapshot
Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect
inferredcites →https://doi.org/10.1109/icpr.2014.123openalex-snapshot
Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes
inferredcites →https://doi.org/10.48550/arxiv.1409.7963openalex-snapshot
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation
inferredcites →https://doi.org/10.48550/arxiv.1506.02897openalex-snapshot
Flowing ConvNets for Human Pose Estimation in Videos
inferredcites →https://doi.org/10.5244/c.24.12openalex-snapshot
Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation
inferredcites →https://doi.org/10.5244/c.27.47openalex-snapshot
Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts
inferredcites →https://doi.org/10.5244/c.28.54openalex-snapshot
Upper Body Pose Estimation with Temporal Sequential Forests
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-01225-0_27openalex-snapshot
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
inferred← citeshttps://doi.org/10.1007/978-3-030-01249-6_49openalex-snapshot
Occlusion-Aware Hand Pose Estimation Using Hierarchical Mixture Density Network
inferred← citeshttps://doi.org/10.1007/978-3-030-01252-6_45openalex-snapshot
Where Will They Go? Predicting Fine-Grained Adversarial Multi-agent Motion Using Conditional Variational Autoencoders
inferred← citeshttps://doi.org/10.1007/978-3-030-01790-3_3openalex-snapshot
Fully Automatic Multi-person Human Motion Capture for VR Applications
inferred← citeshttps://doi.org/10.1007/978-3-030-11024-6_12openalex-snapshot
Chasing Feet in the Wild: A Proposed Egocentric Motion-Aware Gait Assessment Tool
inferred← citeshttps://doi.org/10.1007/978-3-030-20890-5_39openalex-snapshot
Customized Multi-person Tracker
inferred← citeshttps://doi.org/10.1007/978-3-030-58520-4_36openalex-snapshot
Key Frame Proposal Network for Efficient Pose Estimation in Videos
inferred← citeshttps://doi.org/10.1007/978-3-030-58542-6_41openalex-snapshot
Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking
inferred← citeshttps://doi.org/10.1007/978-3-030-81982-8_9openalex-snapshot
Visual Methods for Sign Language Recognition: A Modality-Based Review
inferred← citeshttps://doi.org/10.1007/978-3-030-84760-9_23openalex-snapshot
A Monadic and Effective Frame Work for Single Human Pose Estimation of 2D Images and Videos
inferred← citeshttps://doi.org/10.1007/978-3-031-08812-4_11openalex-snapshot
An Overview of Emotion Recognition from Body Movement
inferred← citeshttps://doi.org/10.1007/978-3-031-09135-3_28openalex-snapshot
Comparative Analysis of Selected Methods of Identifying the Newborn’s Skeletal Model
inferred← citeshttps://doi.org/10.1007/978-3-031-73411-3_12openalex-snapshot
HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-Fine Pose-Reversible Guidance
inferred← citeshttps://doi.org/10.1007/978-3-032-37422-6_31openalex-snapshot
ReynoldsFlow: Physics-Inspired Spatiotemporal Flow Representation for Video Understanding
inferred← citeshttps://doi.org/10.1007/s00530-022-01019-0openalex-snapshot
2D Human pose estimation: a survey
inferred← citeshttps://doi.org/10.1007/s11042-017-5133-8openalex-snapshot
Multiple human 3D pose estimation from multiview images
inferred← citeshttps://doi.org/10.1007/s11227-021-04076-wopenalex-snapshot
Development of a yoga posture coaching system using an interactive display based on transfer learning
inferred← citeshttps://doi.org/10.1007/s11263-019-01279-wopenalex-snapshot
Learning Multi-human Optical Flow
inferred← citeshttps://doi.org/10.1007/s13735-022-00261-6openalex-snapshot
Human pose estimation using deep learning: review, methodologies, progress and future research directions
inferred← citeshttps://doi.org/10.1007/s44163-025-00604-2openalex-snapshot
Enhanced basketball pose estimation with spatio-temporal fusion and local feature learning
inferred← citeshttps://doi.org/10.1016/j.cviu.2016.09.002openalex-snapshot
3D Human pose estimation: A review of the literature and analysis of covariates
inferred← citeshttps://doi.org/10.1016/j.cviu.2018.02.003openalex-snapshot
Semi- and weakly-supervised human pose estimation
inferred← citeshttps://doi.org/10.1016/j.cviu.2019.102897openalex-snapshot
Monocular human pose estimation: A survey of deep learning-based methods
inferred← citeshttps://doi.org/10.1016/j.jvcir.2021.103055openalex-snapshot
Human pose estimation and its application to action recognition: A survey
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.11.076openalex-snapshot
Learning deep discriminative face features by customized weighted constraint
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107258openalex-snapshot
Exploring temporal consistency for human pose estimation in videos
inferred← citeshttps://doi.org/10.1016/j.procir.2018.03.224openalex-snapshot
Deep Learning-based Multimodal Control Interface for Human-Robot Collaboration
inferred← citeshttps://doi.org/10.1016/j.promfg.2018.10.042openalex-snapshot
A Context-Aware Safety System for Human-Robot Collaboration
inferred← citeshttps://doi.org/10.1016/j.rcim.2020.101997openalex-snapshot
Collision-free human-robot collaboration based on context awareness
inferred← citeshttps://doi.org/10.1109/access.2021.3110912openalex-snapshot
Deep Learning for Sign Language Recognition: Current Techniques, Benchmarks, and Open Issues
inferred← citeshttps://doi.org/10.1109/access.2024.3509447openalex-snapshot
A Systematic Review: Advancing Ergonomic Posture Risk Assessment Through the Integration of Computer Vision and Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/acpr.2017.126openalex-snapshot
Sequence-to-Sequence Learning for Human Pose Correction in Videos
inferred← citeshttps://doi.org/10.1109/biorob60516.2024.10719968openalex-snapshot
DRome: A Deep Learning-Based Mobile Vision System for Real-Time Range of Motion Evaluation
inferred← citeshttps://doi.org/10.1109/cvpr.2017.138openalex-snapshot
Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations
inferred← citeshttps://doi.org/10.1109/cvpr.2017.142openalex-snapshot
ArtTrack: Articulated Multi-Person Tracking in the Wild
inferred← citeshttps://doi.org/10.1109/cvpr.2017.399openalex-snapshot
LSTM Self-Supervision for Detailed Behavior Analysis
inferred← citeshttps://doi.org/10.1109/cvpr.2017.442openalex-snapshot
Object-Aware Dense Semantic Correspondence
inferred← citeshttps://doi.org/10.1109/cvpr.2017.495openalex-snapshot
PoseTrack: Joint Multi-person Pose Estimation and Tracking
inferred← citeshttps://doi.org/10.1109/cvpr.2017.500openalex-snapshot
Unite the People: Closing the Loop Between 3D and 2D Human Representations
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00045openalex-snapshot
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00176openalex-snapshot
Generating a Fusion Image: One's Identity and Another's Shape
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00542openalex-snapshot
PoseTrack: A Benchmark for Human Pose Estimation and Tracking
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00706openalex-snapshot
UniPose: Unified Human Pose Estimation in Single Images and Videos
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01137openalex-snapshot
Train-Once-for-All Personalization
inferred← citeshttps://doi.org/10.1109/dicta.2017.8227441openalex-snapshot
Human Pose Forecasting via Deep Markov Models
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054165openalex-snapshot
Adversarial Video Compression Guided by Soft Edge Detection
inferred← citeshttps://doi.org/10.1109/iccv.2019.00081openalex-snapshot
Occlusion-Aware Networks for 3D Human Pose Estimation in Video
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01151openalex-snapshot
Motion Adaptive Pose Estimation from Compressed Videos
inferred← citeshttps://doi.org/10.1109/iccvw.2017.99openalex-snapshot
4D Model-Based Spatiotemporal Alignment of Scripted Taiji Quan Sequences
inferred← citeshttps://doi.org/10.1109/iccvw.2019.00226openalex-snapshot
What Face and Body Shapes Can Tell Us About Height
inferred← citeshttps://doi.org/10.1109/icict54344.2022.9850524openalex-snapshot
Height and Weight Estimation of an Individual from Virtual Visuals
inferred← citeshttps://doi.org/10.1109/icip.2017.8296256openalex-snapshot
Personalized pose estimation for body language understanding
inferred← citeshttps://doi.org/10.1109/icip.2019.8803797openalex-snapshot
Temporal Feature Correlation for Human Pose Estimation in Videos
inferred← citeshttps://doi.org/10.1109/icsc64553.2025.10967723openalex-snapshot
AI-Driven Real-Time Exercise Repetition Counting System
inferred← citeshttps://doi.org/10.1109/jiot.2025.3529917openalex-snapshot
Enhancing Human Pose Estimation in Internet of Things via Diffusion Generative Models
inferred← citeshttps://doi.org/10.1109/jiot.2025.3534262openalex-snapshot
Efficient and Adaptive Human Pose Estimation on Resource-Constrained Computing Devices via Knowledge Distillation and Temporal Propagation
inferred← citeshttps://doi.org/10.1109/jtehm.2018.2875464openalex-snapshot
Patient-Specific Pose Estimation in Clinical Environments
inferred← citeshttps://doi.org/10.1109/sr.2025.3567259openalex-snapshot
Exploring Sensor Fusion Techniques for Enhanced Dynamic Hand Gesture Recognition: A Comprehensive Metadata Analysis
inferred← citeshttps://doi.org/10.1109/taffc.2018.2874986openalex-snapshot
Survey on Emotional Body Gesture Recognition
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EAGLE: Enhanced Activity Recognition in Occluded Environments With Improved GAIN and Bi-LSTM
inferred← citeshttps://doi.org/10.1109/tcyb.2018.2884216openalex-snapshot
Fast Online Video Pose Estimation by Dynamic Bayesian Modeling of Mode Transitions
inferred← citeshttps://doi.org/10.1109/thms.2021.3102511openalex-snapshot
Lifting Posture Prediction With Generative Models for Improving Occupational Safety
inferred← citeshttps://doi.org/10.1109/tip.2017.2754941openalex-snapshot
Video Salient Object Detection via Fully Convolutional Networks
inferred← citeshttps://doi.org/10.1109/tpami.2020.2983935openalex-snapshot
Supervision by Registration and Triangulation for Landmark Detection
inferred← citeshttps://doi.org/10.1109/tpami.2021.3087695openalex-snapshot
Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation
inferred← citeshttps://doi.org/10.1142/s0218001422550175openalex-snapshot
3D Human Pose Estimation via Spatio-Temporal Matching from Monocular RGB Images
inferred← citeshttps://doi.org/10.1145/3503161.3548363openalex-snapshot
Bodily Behaviors in Social Interaction
inferred← citeshttps://doi.org/10.1145/3519305openalex-snapshot
GLPose: Global-Local Representation Learning for Human Pose Estimation
inferred← citeshttps://doi.org/10.1145/3524497openalex-snapshot
Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
inferred← citeshttps://doi.org/10.1155/2023/2085251openalex-snapshot
Posture Risk Assessment and Workload Estimation for Material Handling by Computer Vision
inferred← citeshttps://doi.org/10.1609/aaai.v32i1.12270openalex-snapshot
Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation
inferred← citeshttps://doi.org/10.1609/aaai.v35i2.16202openalex-snapshot
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
inferred← citeshttps://doi.org/10.1609/aaai.v36i2.20089openalex-snapshot
REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos
inferred← citeshttps://doi.org/10.17760/d20292552openalex-snapshot
Outliers cleaning in dynamic systems
inferred← citeshttps://doi.org/10.26634/jip.12.3.22277openalex-snapshot
Pose tracking, analysis and impact estimation in real time
inferred← citeshttps://doi.org/10.3390/app15073737openalex-snapshot
RotJoint-Based Action Analyzer: A Robust Pose Comparison Pipeline
inferred← citeshttps://doi.org/10.3390/engproc2024070040openalex-snapshot
IMPACT: A Dataset for Integrated Measurement of Performance and Contextual Task-Related Effects
inferred← citeshttps://doi.org/10.3390/make5040081openalex-snapshot
Human Pose Estimation Using Deep Learning: A Systematic Literature Review
inferred← citeshttps://doi.org/10.3934/math.2026156openalex-snapshot
Mathematical and computational perspectives on next-generation neural networks for sign language recognition: A systematic review of advances, challenges, and assistive applications
inferred← citeshttps://doi.org/10.48550/arxiv.1611.07727openalex-snapshot
PoseTrack: Joint Multi-Person Pose Estimation and Tracking
inferred← citeshttps://doi.org/10.48550/arxiv.1612.01465openalex-snapshot
ArtTrack: Articulated Multi-person Tracking in the Wild
inferred← citeshttps://doi.org/10.48550/arxiv.1805.10355openalex-snapshot
What Face and Body Shapes Can Tell About Height
inferred← citeshttps://doi.org/10.48550/arxiv.1806.05666openalex-snapshot
Learning Human Optical Flow
inferred← citeshttps://doi.org/10.48550/arxiv.1811.10673openalex-snapshot
Adversarial Video Compression Guided by Soft Edge Detection
inferred← citeshttps://doi.org/10.48550/arxiv.1906.04016openalex-snapshot
Learning Temporal Pose Estimation from Sparsely-Labeled Videos
inferred← citeshttps://doi.org/10.5204/thesis.eprints.132537openalex-snapshot
Multi-modal Analysis for the Automatic Evaluation of Epilepsy
inferred← citeshttps://doi.org/10.54552/v82i1.73openalex-snapshot
ARTIFICIAL INTELLIGENCE AND COMPUTER VISION – A MATCH MADE IN HEAVEN?
inferred← citeshttps://doi.org/10.7176/ceis/12-1-01openalex-snapshot
Fully Automatic Multi-Object Articulated Motion Tracking
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