On the public citation graph

Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video

0 signed · 456 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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.1995.1004openalex-snapshot
Active Shape Models-Their Training and Application
inferredcites →https://doi.org/10.1006/cviu.2000.0878openalex-snapshot
Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image
inferredcites →https://doi.org/10.1007/978-0-387-93808-0_3openalex-snapshot
Video-Based People Tracking
inferredcites →https://doi.org/10.1007/978-0-85729-997-0_11openalex-snapshot
Part-Based Models for Finding People and Estimating Their Pose
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_12openalex-snapshot
Pose Locality Constrained Representation for 3D Human Pose Reconstruction
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_5openalex-snapshot
Spatio-temporal Matching for Human Detection in Video
inferredcites →https://doi.org/10.1007/978-3-319-16808-1_23openalex-snapshot
3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network
inferredcites →https://doi.org/10.1007/978-3-642-15558-1_34openalex-snapshot
Deterministic 3D Human Pose Estimation Using Rigid Structure
inferredcites →https://doi.org/10.1007/978-3-642-33765-9_41openalex-snapshot
Reconstructing 3D Human Pose from 2D Image Landmarks
inferredcites →https://doi.org/10.1007/s11263-011-0493-4openalex-snapshot
Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation
inferredcites →https://doi.org/10.1007/s11263-013-0684-2openalex-snapshot
A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization
inferredcites →https://doi.org/10.1007/s11263-015-0860-7openalex-snapshot
Complex Non-rigid 3D Shape Recovery Using a Procrustean Normal Distribution Mixture Model
inferredcites →https://doi.org/10.1016/0734-189x(85)90094-5openalex-snapshot
Determination of 3D human body postures from a single view
inferredcites →https://doi.org/10.1016/0734-189x(85)90137-9openalex-snapshot
Determination of 3D human body postures from a single view
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/10.1109/34.862199openalex-snapshot
Fast and globally convergent pose estimation from video images
inferredcites →https://doi.org/10.1109/avss.2006.3openalex-snapshot
3D Human Motion Analysis in Monocular Video Techniques and Challenges
inferredcites →https://doi.org/10.1109/cvpr.1998.698581openalex-snapshot
Tracking people with twists and exponential maps
inferredcites →https://doi.org/10.1109/cvpr.2000.854941openalex-snapshot
Recovering non-rigid 3D shape from image streams
inferredcites →https://doi.org/10.1109/cvpr.2000.855885openalex-snapshot
Reconstruction of articulated objects from point correspondences in a single uncalibrated image
inferredcites →https://doi.org/10.1109/cvpr.2003.1211339openalex-snapshot
Kinematic jump processes for monocular 3D human tracking
inferredcites →https://doi.org/10.1109/cvpr.2010.5540156openalex-snapshot
Monocular 3D pose estimation and tracking by detection
inferredcites →https://doi.org/10.1109/cvpr.2011.5995316openalex-snapshot
Real-time human pose recognition in parts from single depth images
inferredcites →https://doi.org/10.1109/cvpr.2011.5995607openalex-snapshot
Parsing human motion with stretchable models
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.2012.6247988openalex-snapshot
Single image 3D human pose estimation from noisy observations
inferredcites →https://doi.org/10.1109/cvpr.2013.466openalex-snapshot
A Joint Model for 2D and 3D Pose Estimation from a Single Image
inferredcites →https://doi.org/10.1109/cvpr.2013.467openalex-snapshot
Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest
inferredcites →https://doi.org/10.1109/cvpr.2014.200openalex-snapshot
Complex Non-rigid Motion 3D Reconstruction by Union of Subspaces
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.2014.303openalex-snapshot
Robust Estimation of 3D Human Poses from a Single Image
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.2015.7298734openalex-snapshot
Joint action recognition and pose estimation from video
inferredcites →https://doi.org/10.1109/cvpr.2015.7298751openalex-snapshot
Pose-conditioned joint angle limits for 3D human pose reconstruction
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299074openalex-snapshot
3D shape estimation from 2D landmarks: A convex relaxation approach
inferredcites →https://doi.org/10.1109/cvprw.2015.7301337openalex-snapshot
Articulated pose estimation with tiny synthetic videos
inferredcites →https://doi.org/10.1109/iccv.2003.1238424openalex-snapshot
Fast pose estimation with parameter-sensitive hashing
inferredcites →https://doi.org/10.1109/iccv.2011.6126243openalex-snapshot
3D reconstruction of a smooth articulated trajectory from a monocular image sequence
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.2015.222openalex-snapshot
Flowing ConvNets for Human Pose Estimation in Videos
inferredcites →https://doi.org/10.1109/iccv.2015.233openalex-snapshot
Human Pose Estimation in Videos
inferredcites →https://doi.org/10.1109/iccv.2015.326openalex-snapshot
Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation
inferredcites →https://doi.org/10.1109/icpr.2010.414openalex-snapshot
3D Human Pose Reconstruction Using Millions of Exemplars
inferredcites →https://doi.org/10.1109/icra.2016.7487183openalex-snapshot
Articulated motion estimation from a monocular image sequence using spherical tangent bundles
inferredcites →https://doi.org/10.1109/tpami.2006.149openalex-snapshot
Recovering 3D human body configurations using shape contexts
inferredcites →https://doi.org/10.1109/tpami.2006.21openalex-snapshot
Recovering 3D human pose from monocular images
inferredcites →https://doi.org/10.1109/tpami.2010.201openalex-snapshot
Trajectory Space: A Dual Representation for Nonrigid Structure from Motion
inferredcites →https://doi.org/10.1109/tpami.2013.248openalex-snapshot
Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
inferredcites →https://doi.org/10.1109/tpami.2016.2605097openalex-snapshot
Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach
inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot
Caffe
inferredcites →https://doi.org/10.48550/arxiv.1308.5200openalex-snapshot
Manopt, a Matlab toolbox for optimization on manifolds
inferredcites →https://doi.org/10.48550/arxiv.1312.7302openalex-snapshot
Learning Human Pose Estimation Features with Convolutional Networks
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.1504.08200openalex-snapshot
Predicting People's 3D Poses from Short Sequences

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-01228-1_31openalex-snapshot
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation
inferred← citeshttps://doi.org/10.1007/978-3-030-01231-1_33openalex-snapshot
Integral Human Pose Regression
inferred← citeshttps://doi.org/10.1007/978-3-030-01234-2_8openalex-snapshot
Propagating LSTM: 3D Pose Estimation Based on Joint Interdependency
inferred← citeshttps://doi.org/10.1007/978-3-030-01240-3_41openalex-snapshot
Learning 3D Human Pose from Structure and Motion
inferred← citeshttps://doi.org/10.1007/978-3-030-01249-6_48openalex-snapshot
Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling
inferred← citeshttps://doi.org/10.1007/978-3-030-01249-6_5openalex-snapshot
Exploiting Temporal Information for 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1007/978-3-030-01424-7_31openalex-snapshot
Deep 3D Pose Dictionary: 3D Human Pose Estimation from Single RGB Image Using Deep Convolutional Neural Network
inferred← citeshttps://doi.org/10.1007/978-3-030-11015-4_53openalex-snapshot
End-to-End 6-DoF Object Pose Estimation Through Differentiable Rasterization
inferred← citeshttps://doi.org/10.1007/978-3-030-11018-5_4openalex-snapshot
A Kinematic Chain Space for Monocular Motion Capture
inferred← citeshttps://doi.org/10.1007/978-3-030-11018-5_6openalex-snapshot
3D Human Body Reconstruction from a Single Image via Volumetric Regression
inferred← citeshttps://doi.org/10.1007/978-3-030-11018-5_7openalex-snapshot
Can 3D Pose Be Learned from 2D Projections Alone?
inferred← citeshttps://doi.org/10.1007/978-3-030-20870-7_30openalex-snapshot
Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image
inferred← citeshttps://doi.org/10.1007/978-3-030-20887-5_23openalex-snapshot
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction
inferred← citeshttps://doi.org/10.1007/978-3-030-23712-7_52openalex-snapshot
Humanoid Robot Control Based on Deep Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-24265-7_40openalex-snapshot
A System for Calculating the Amount of Motion Based on 3D Pose Estimation
inferred← citeshttps://doi.org/10.1007/978-3-030-34113-8_48openalex-snapshot
Coarse-to-Fine 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1007/978-3-030-36711-4_2openalex-snapshot
Multi-person 3D Pose Estimation from Monocular Image Sequences
inferred← citeshttps://doi.org/10.1007/978-3-030-57907-4_3openalex-snapshot
Classification of Yoga Asanas from a Single Image by Learning the 3D View of Human Poses
inferred← citeshttps://doi.org/10.1007/978-3-030-58520-4_31openalex-snapshot
Full-Body Awareness from Partial Observations
inferred← citeshttps://doi.org/10.1007/978-3-030-58526-6_1openalex-snapshot
Procrustean Regression Networks: Learning 3D Structure of Non-rigid Objects from 2D Annotations
inferred← citeshttps://doi.org/10.1007/978-3-030-58526-6_14openalex-snapshot
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data
inferred← citeshttps://doi.org/10.1007/978-3-030-58536-5_13openalex-snapshot
Motion Capture from Internet Videos
inferred← citeshttps://doi.org/10.1007/978-3-030-58555-6_33openalex-snapshot
SMAP: Single-Shot Multi-person Absolute 3D Pose Estimation
inferred← citeshttps://doi.org/10.1007/978-3-030-58565-5_44openalex-snapshot
Human Body Model Fitting by Learned Gradient Descent
inferred← citeshttps://doi.org/10.1007/978-3-030-58568-6_21openalex-snapshot
3D Human Shape Reconstruction from a Polarization Image
inferred← citeshttps://doi.org/10.1007/978-3-030-58580-8_42openalex-snapshot
Towards Part-Aware Monocular 3D Human Pose Estimation: An Architecture Search Approach
inferred← citeshttps://doi.org/10.1007/978-3-030-58592-1_32openalex-snapshot
From Image to Stability: Learning Dynamics from Human Pose
inferred← citeshttps://doi.org/10.1007/978-3-030-58601-0_30openalex-snapshot
GSIR: Generalizable 3D Shape Interpretation and Reconstruction
inferred← citeshttps://doi.org/10.1007/978-3-031-20065-6_27openalex-snapshot
P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1007/978-3-031-26316-3_16openalex-snapshot
Decanus to Legatus: Synthetic Training for 2D-3D Human Pose Lifting
inferred← citeshttps://doi.org/10.1007/978-3-319-46454-1_34openalex-snapshot
Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
inferred← citeshttps://doi.org/10.1007/978-3-319-46484-8_34openalex-snapshot
Bayesian Image Based 3D Pose Estimation
inferred← citeshttps://doi.org/10.1007/978-3-319-46493-0_2openalex-snapshot
Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps
inferred← citeshttps://doi.org/10.1007/978-3-319-49409-8_15openalex-snapshot
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information
inferred← citeshttps://doi.org/10.1007/978-3-319-49409-8_17openalex-snapshot
Deep Kinematic Pose Regression
inferred← citeshttps://doi.org/10.1007/978-3-319-49409-8_5openalex-snapshot
Human Pose Estimation in Space and Time Using 3D CNN
inferred← citeshttps://doi.org/10.1007/978-3-319-66709-6_28openalex-snapshot
Optical Flow-Based 3D Human Motion Estimation from Monocular Video
inferred← citeshttps://doi.org/10.1007/978-3-319-94544-6_2openalex-snapshot
Refining the Pose: Training and Use of Deep Recurrent Autoencoders for Improving Human Pose Estimation
inferred← citeshttps://doi.org/10.1007/978-981-19-2290-9_4openalex-snapshot
Vision-Based Body Activity Recognition
inferred← citeshttps://doi.org/10.1007/978-981-97-9334-1_7openalex-snapshot
Real-Time 3D Human Pose Estimation from a Single RGB Image
inferred← citeshttps://doi.org/10.1007/s00371-019-01740-4openalex-snapshot
3D human pose estimation by depth map
inferred← citeshttps://doi.org/10.1007/s00371-021-02070-0openalex-snapshot
Clustering and Identification of key body extremities through topological analysis of multi-sensors 3D data
inferred← citeshttps://doi.org/10.1007/s00371-024-03575-0openalex-snapshot
TDGar-Ani: temporal motion fusion model and deformation correction network for enhancing garment animation details
inferred← citeshttps://doi.org/10.1007/s00521-020-04941-4openalex-snapshot
GAN-Poser: an improvised bidirectional GAN model for human motion prediction
inferred← citeshttps://doi.org/10.1007/s00521-020-05086-0openalex-snapshot
SDM3d: shape decomposition of multiple geometric priors for 3D pose estimation
inferred← citeshttps://doi.org/10.1007/s00530-026-02310-0openalex-snapshot
ARPose: Anatomical relation-driven token pruning for human pose estimation
inferred← citeshttps://doi.org/10.1007/s10489-023-05214-yopenalex-snapshot
An iterative 3D human body reconstruction method driven by personalized dimensional prior knowledge
inferred← citeshttps://doi.org/10.1007/s11042-017-4847-yopenalex-snapshot
Multi-activity 3D human motion recognition and tracking in composite motion model with synthesized transition bridges
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/s11042-018-6789-4openalex-snapshot
Camera localization for a human-pose in 3D space using a single 2D human-pose image with landmarks: a multimedia social network emerging demand
inferred← citeshttps://doi.org/10.1007/s11042-018-6931-3openalex-snapshot
Correction to: Camera localization for a human-pose in 3D space using a single 2D human-pose image with landmarks: a multimedia social network emerging demand
inferred← citeshttps://doi.org/10.1007/s11042-020-09733-5openalex-snapshot
Uncalibrated multi-view multiple humans association and 3D pose estimation by adversarial learning
inferred← citeshttps://doi.org/10.1007/s11042-021-10982-1openalex-snapshot
Multi-task neural network with physical constraint for real-time multi-person 3D pose estimation from monocular camera
inferred← citeshttps://doi.org/10.1007/s11263-018-1066-6openalex-snapshot
Learning Latent Representations of 3D Human Pose with Deep Neural Networks
inferred← citeshttps://doi.org/10.1007/s11263-018-1071-9openalex-snapshot
Image-Based Synthesis for Deep 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1007/s11263-018-1118-yopenalex-snapshot
Fusing Visual and Inertial Sensors with Semantics for 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1007/s11263-019-01270-5openalex-snapshot
Real-Time Multi-person Motion Capture from Multi-view Video and IMUs
inferred← citeshttps://doi.org/10.1007/s11263-021-01436-0openalex-snapshot
Enhanced 3D Human Pose Estimation from Videos by Using Attention-Based Neural Network with Dilated Convolutions
inferred← citeshttps://doi.org/10.1007/s11263-021-01525-0openalex-snapshot
Learning a Robust Part-Aware Monocular 3D Human Pose Estimator via Neural Architecture Search
inferred← citeshttps://doi.org/10.1007/s11263-021-01540-1openalex-snapshot
Estimating 3D Motion and Forces of Human–Object Interactions from Internet Videos
inferred← citeshttps://doi.org/10.1007/s11263-021-01570-9openalex-snapshot
Consensus-Based Optimization for 3D Human Pose Estimation in Camera Coordinates
inferred← citeshttps://doi.org/10.1007/s11263-022-01596-7openalex-snapshot
iMoCap: Motion Capture from Internet Videos
inferred← citeshttps://doi.org/10.1007/s11760-024-03028-0openalex-snapshot
PVA-GCN: point-voxel absorbing graph convolutional network for 3D human pose estimation from monocular video
inferred← citeshttps://doi.org/10.1007/s42979-019-0025-9openalex-snapshot
Single-Shot 3D Mesh Estimation via Adversarial Domain Adaptation
inferred← citeshttps://doi.org/10.1007/s42979-025-03708-9openalex-snapshot
An Assessment Towards 2D and 3D Human Pose Estimation and its Applications to Activity Recognition: A Review
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.2018.02.004openalex-snapshot
2D–3D pose consistency-based conditional random fields for 3D human pose estimation
inferred← citeshttps://doi.org/10.1016/j.cviu.2018.03.007openalex-snapshot
A dual-source approach for 3D human pose estimation from single images
inferred← citeshttps://doi.org/10.1016/j.cviu.2018.10.006openalex-snapshot
Compositional Human Pose Regression
inferred← citeshttps://doi.org/10.1016/j.cviu.2019.03.004openalex-snapshot
Deep pose consensus networks
inferred← citeshttps://doi.org/10.1016/j.cviu.2019.04.011openalex-snapshot
Multi-person 3D pose estimation from 3D cloud data using 3D convolutional neural networks
inferred← citeshttps://doi.org/10.1016/j.cviu.2020.103072openalex-snapshot
On the exact recovery conditions of 3D human motion from 2D landmark motion with sparse articulated motion
inferred← citeshttps://doi.org/10.1016/j.cviu.2021.103225openalex-snapshot
Deep 3D human pose estimation: A review
inferred← citeshttps://doi.org/10.1016/j.cviu.2021.103275openalex-snapshot
A review of 3D human pose estimation algorithms for markerless motion capture
inferred← citeshttps://doi.org/10.1016/j.cviu.2023.103830openalex-snapshot
View consistency aware holistic triangulation for 3D human pose estimation
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.03.035openalex-snapshot
Automatic human trajectory destination prediction from video
inferred← citeshttps://doi.org/10.1016/j.gmod.2024.101235openalex-snapshot
GarTemFormer: Temporal transformer-based for optimizing virtual garment animation
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102154openalex-snapshot
3D Human Pose Estimation from multi-view thermal vision sensors
inferred← citeshttps://doi.org/10.1016/j.jbiomech.2018.12.022openalex-snapshot
A Deep Neural Network-based method for estimation of 3D lifting motions
inferred← citeshttps://doi.org/10.1016/j.jer.2025.07.007openalex-snapshot
An efficient baseline for multi-view 3d human pose estimation
inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.01.033openalex-snapshot
3D human pose estimation from a single image via exemplar augmentation
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107040openalex-snapshot
Exploiting spatio-temporal representation for 3D human action recognition from depth map sequences
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109691openalex-snapshot
SkeletonPose: Exploiting human skeleton constraint for 3D human pose estimation
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.10.009openalex-snapshot
Multiview 3D human pose estimation using improved least-squares and LSTM networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.01.104openalex-snapshot
Densely connected attentional pyramid residual network for human pose estimation
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.05.034openalex-snapshot
Reweighted sparse representation with residual compensation for 3D human pose estimation from a single RGB image
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.09.101openalex-snapshot
Bayesian capsule networks for 3D human pose estimation from single 2D images
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.11.097openalex-snapshot
CapsulePose: A variational CapsNet for real-time end-to-end 3D human pose estimation
inferred← citeshttps://doi.org/10.1016/j.orp.2023.100290openalex-snapshot
Prescriptive price optimization using optimal regression trees
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107534openalex-snapshot
Single-shot 3D multi-person pose estimation in complex images
inferred← citeshttps://doi.org/10.1016/j.patrec.2019.05.020openalex-snapshot
3D human pose estimation via human structure-aware fully connected network
inferred← citeshttps://doi.org/10.1016/j.robot.2024.104677openalex-snapshot
3D human pose estimation based on 2D–3D consistency with synchronized adversarial training
inferred← citeshttps://doi.org/10.1016/j.vrih.2020.04.005openalex-snapshot
A survey on monocular 3D human pose estimation
inferred← citeshttps://doi.org/10.1049/csy2.70003openalex-snapshot
Automatic feature‐based markerless calibration and navigation method for augmented reality assisted dental treatment
inferred← citeshttps://doi.org/10.1049/cvi2.12222openalex-snapshot
Enhancing human parsing with region‐level learning
inferred← citeshttps://doi.org/10.1049/el.2017.3830openalex-snapshot
DR‐Net: denoising and reconstruction network for 3D human pose estimation from monocular RGB videos
inferred← citeshttps://doi.org/10.1049/el.2017.4052openalex-snapshot
Regression‐based convolutional 3D pose estimation from single image
inferred← citeshttps://doi.org/10.1088/1742-6596/1873/1/012003openalex-snapshot
Residual Deep Monocular 3D Human Pose Estimation using CVAE synthetic data
inferred← citeshttps://doi.org/10.1108/ir-06-2020-0129openalex-snapshot
An integrated vision-based system for efficient robot arm teleoperation
inferred← citeshttps://doi.org/10.1109/3dv.2016.58openalex-snapshot
Synthesizing Training Images for Boosting Human 3D Pose Estimation
inferred← citeshttps://doi.org/10.1109/3dv.2017.00020openalex-snapshot
Compact Model Representation for 3D Reconstruction
inferred← citeshttps://doi.org/10.1109/3dv.2017.00026openalex-snapshot
Adversarially Parameterized Optimization for 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1109/3dv.2017.00055openalex-snapshot
Towards Accurate Marker-Less Human Shape and Pose Estimation over Time
inferred← citeshttps://doi.org/10.1109/3dv.2017.00058openalex-snapshot
Real-Time Full-Body Motion Capture from Video and IMUs
inferred← citeshttps://doi.org/10.1109/3dv.2017.00064openalex-snapshot
Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision
inferred← citeshttps://doi.org/10.1109/3dv.2018.00024openalex-snapshot
Single-Shot Multi-person 3D Pose Estimation from Monocular RGB
inferred← citeshttps://doi.org/10.1109/3dv.2018.00061openalex-snapshot
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture
inferred← citeshttps://doi.org/10.1109/3dv.2019.00052openalex-snapshot
Multi-Person 3D Human Pose Estimation from Monocular Images
inferred← citeshttps://doi.org/10.1109/3dv50981.2020.00011openalex-snapshot
Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild
inferred← citeshttps://doi.org/10.1109/3dv50981.2020.00100openalex-snapshot
Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1109/3dv53792.2021.00014openalex-snapshot
EgoGlass: Egocentric-View Human Pose Estimation From an Eyeglass Frame
inferred← citeshttps://doi.org/10.1109/3dv53792.2021.00137openalex-snapshot
High Fidelity 3D Reconstructions with Limited Physical Views
inferred← citeshttps://doi.org/10.1109/acait53529.2021.9731172openalex-snapshot
Research on 3D Human Body Reconstruction Algorithm of Monocular Image
inferred← citeshttps://doi.org/10.1109/access.2017.2723039openalex-snapshot
Implementation of a Virtual Training Simulator Based on 360° Multi-View Human Action Recognition
inferred← citeshttps://doi.org/10.1109/access.2019.2917609openalex-snapshot
3D Human Motion Synthesis Based on Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/access.2019.2920633openalex-snapshot
Towards Robust and Accurate Single-View Fast Human Motion Capture
inferred← citeshttps://doi.org/10.1109/access.2020.3013917openalex-snapshot
An Adaptive Viewpoint Transformation Network for 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1109/access.2020.3045794openalex-snapshot
Semi-Supervised 3D Human Pose Estimation by Jointly Considering Temporal and Multiview Information
inferred← citeshttps://doi.org/10.1109/access.2024.3419032openalex-snapshot
End-to-End 3D Human Pose Estimation Network With Multi-Layer Feature Fusion
inferred← citeshttps://doi.org/10.1109/access.2024.3423765openalex-snapshot
Accuracy and Adaptability Improvement in Aerobic Training: Integration of Self-Attention Mechanisms in 3D Pose Estimation and Kinematic Modeling
inferred← citeshttps://doi.org/10.1109/aivr.2018.00009openalex-snapshot
Gesture and Action Discovery for Evaluating Virtual Environments with Semi-Supervised Segmentation of Telemetry Records
inferred← citeshttps://doi.org/10.1109/apsipaasc47483.2019.9023084openalex-snapshot
Multi-Task and Multi-Level Detection Neural Network Based Real-Time 3D Pose Estimation
inferred← citeshttps://doi.org/10.1109/apsipaasc47483.2019.9023336openalex-snapshot
Generic Video-Based Motion Capture Data Retrieval
inferred← citeshttps://doi.org/10.1109/bsn.2018.8329654openalex-snapshot
Markerless gait analysis based on a single RGB camera
inferred← citeshttps://doi.org/10.1109/crv.2018.00031openalex-snapshot
Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture
inferred← citeshttps://doi.org/10.1109/cvpr.2017.134openalex-snapshot
LCR-Net: Localization-Classification-Regression for Human Pose
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.2017.139openalex-snapshot
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose
inferred← citeshttps://doi.org/10.1109/cvpr.2017.170openalex-snapshot
3D Human Pose Estimation from a Single Image via Distance Matrix Regression
inferred← citeshttps://doi.org/10.1109/cvpr.2017.388openalex-snapshot
Forecasting Human Dynamics from Static Images
inferred← citeshttps://doi.org/10.1109/cvpr.2017.492openalex-snapshot
Learning from Synthetic Humans
inferred← citeshttps://doi.org/10.1109/cvpr.2017.501openalex-snapshot
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing
inferred← citeshttps://doi.org/10.1109/cvpr.2017.588openalex-snapshot
Recurrent 3D Pose Sequence Machines
inferred← citeshttps://doi.org/10.1109/cvpr.2017.594openalex-snapshot
Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image
inferred← citeshttps://doi.org/10.1109/cvpr.2017.603openalex-snapshot
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
inferred← citeshttps://doi.org/10.1109/cvpr.2017.610openalex-snapshot
3D Human Pose Estimation = 2D Pose Estimation + Matching
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00055openalex-snapshot
Learning to Estimate 3D Human Pose and Shape from a Single Color Image
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00229openalex-snapshot
Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00230openalex-snapshot
3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children with Autism
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00551openalex-snapshot
3D Human Pose Estimation in the Wild by Adversarial Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00744openalex-snapshot
End-to-End Recovery of Human Shape and Pose
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00763openalex-snapshot
Ordinal Depth Supervision for 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00117openalex-snapshot
Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00351openalex-snapshot
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00354openalex-snapshot
Semantic Graph Convolutional Networks for 3D Human Pose Regression
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00576openalex-snapshot
Learning 3D Human Dynamics From Video
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00586openalex-snapshot
Unsupervised 3D Pose Estimation With Geometric Self-Supervision
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00794openalex-snapshot
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00797openalex-snapshot
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00798openalex-snapshot
Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00884openalex-snapshot
Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01012openalex-snapshot
Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00098openalex-snapshot
Deep Kinematics Analysis for Monocular 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00502openalex-snapshot
EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00511openalex-snapshot
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00621openalex-snapshot
Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00928openalex-snapshot
Self-Learning With Rectification Strategy for Human Parsing
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00050openalex-snapshot
PAUL: Procrustean Autoencoder for Unsupervised Lifting
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00339openalex-snapshot
HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01980openalex-snapshot
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01247openalex-snapshot
CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01644openalex-snapshot
Ego-Body Pose Estimation via Ego-Head Pose Estimation
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00219openalex-snapshot
RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00224openalex-snapshot
PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.01149openalex-snapshot
ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate
inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00494openalex-snapshot
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00507openalex-snapshot
Self-supervised 3D Human Pose Estimation from a Single Image
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00702openalex-snapshot
Robust Monocular 3D Human Motion with Lasso-Based Differential Kinematics
inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00016openalex-snapshot
Improving the Robustness of 3D Human Pose Estimation: A Benchmark Dataset and Learning from Noisy Input
inferred← citeshttps://doi.org/10.1109/cybermatics_2018.2018.00147openalex-snapshot
Smooth 3D Trajectory Segmentation for Flying Insects
inferred← citeshttps://doi.org/10.1109/fg52635.2021.9667049openalex-snapshot
Compositional Graph Convolutional Networks for 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1109/fg52635.2021.9667074openalex-snapshot
Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry
inferred← citeshttps://doi.org/10.1109/fg57933.2023.10042785openalex-snapshot
Unsupervised 3D Animal Canonical Pose Estimation with Geometric Self-Supervision
inferred← citeshttps://doi.org/10.1109/icassp.2019.8683503openalex-snapshot
Nose, Eyes and Ears: Head Pose Estimation by Locating Facial Keypoints
inferred← citeshttps://doi.org/10.1109/icceai52939.2021.00001openalex-snapshot
3D Human Pose Estimation: Using Context Information in Monocular Video
inferred← citeshttps://doi.org/10.1109/iccece54139.2022.9712762openalex-snapshot
3D Pose Prediction: Unsupervised Adversarial Network With Human Geometric Constraint
inferred← citeshttps://doi.org/10.1109/iccv.2017.284openalex-snapshot
Compositional Human Pose Regression
inferred← citeshttps://doi.org/10.1109/iccv.2017.288openalex-snapshot
A Simple Yet Effective Baseline for 3d Human Pose Estimation
inferred← citeshttps://doi.org/10.1109/iccv.2017.373openalex-snapshot
Monocular 3D Human Pose Estimation by Predicting Depth on Joints
inferred← citeshttps://doi.org/10.1109/iccv.2017.425openalex-snapshot
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation
inferred← citeshttps://doi.org/10.1109/iccv.2017.51openalex-snapshot
Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach
inferred← citeshttps://doi.org/10.1109/iccv.2017.589openalex-snapshot
Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization
inferred← citeshttps://doi.org/10.1109/iccv.2019.00164openalex-snapshot
Deep Non-Rigid Structure From Motion
inferred← citeshttps://doi.org/10.1109/iccv.2019.00234openalex-snapshot
Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop
inferred← citeshttps://doi.org/10.1109/iccv.2019.00241openalex-snapshot
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
inferred← citeshttps://doi.org/10.1109/iccv.2019.00555openalex-snapshot
Person-in-WiFi: Fine-Grained Person Perception Using WiFi
inferred← citeshttps://doi.org/10.1109/iccv.2019.00778openalex-snapshot
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
inferred← citeshttps://doi.org/10.1109/iccv.2019.00782openalex-snapshot
xR-EgoPose: Egocentric 3D Human Pose From an HMD Camera
inferred← citeshttps://doi.org/10.1109/iccv.2019.00785openalex-snapshot
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare
inferred← citeshttps://doi.org/10.1109/iccv.2019.00786openalex-snapshot
Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts
inferred← citeshttps://doi.org/10.1109/iccv.2019.01018openalex-snapshot
Ego-Pose Estimation and Forecasting As Real-Time PD Control
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01081openalex-snapshot
EventHPE: Event-based 3D Human Pose and Shape Estimation
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01115openalex-snapshot
Learning Motion Priors for 4D Human Body Capture in 3D Scenes
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01128openalex-snapshot
Modulated Graph Convolutional Network for 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01130openalex-snapshot
Estimating Egocentric 3D Human Pose in Global Space
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01147openalex-snapshot
DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01152openalex-snapshot
DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01279openalex-snapshot
Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00810openalex-snapshot
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01345openalex-snapshot
EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild
showing the first 200 of 399 · page through all 399
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.