Pourdamghani, N.[Nima],
Rabiee, H.R.[Hamid R.],
Faghri, F.[Fartash],
Rohban, M.H.[Mohammad Hossein],
Graph based semi-supervised human pose estimation:
When the output space comes to help,
PRL(33), No. 12, 1 September 2012, pp. 1529-1535.
Elsevier DOI
1208
Human pose estimation; Graph based; Semi-supervised; Manifold
regularization
BibRef
Pourdamghani, N.[Nima],
Rabiee, H.R.[Hamid R.],
Zolfaghari, M.[Mohammadreza],
Metric learning for graph based semi-supervised human pose estimation,
ICPR12(3386-3389).
WWW Link.
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BibRef
Li, S.J.[Si-Jin],
Liu, Z.Q.[Zhi-Qiang],
Chan, A.B.[Antoni B.],
Heterogeneous Multi-Task Learning for Human Pose Estimation with Deep
Convolutional Neural Network,
IJCV(113), No. 1, May 2015, pp. 19-36.
Springer DOI
1506
BibRef
Earlier:
DeepLearn14(488-495)
IEEE DOI
1409
BibRef
And: A1, A3, Only:
3D Human Pose Estimation from Monocular Images with Deep Convolutional
Neural Network,
ACCV14(II: 332-347).
Springer DOI
1504
deep learning; human pose estimation; multi-task learning
BibRef
Unzueta, L.,
Aranjuelo, N.,
Goenetxea, J.,
Rodriguez, M.,
Linaza, M.T.,
Contextualised learning-free three-dimensional body pose estimation
from two-dimensional body features in monocular images,
IET-CV(10), No. 4, 2016, pp. 299-306.
DOI Link
1608
cameras
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Gouiaa, R.[Rafik],
Meunier, J.[Jean],
Learning cast shadow appearance for human posture recognition,
PRL(97), No. 1, 2017, pp. 54-60.
Elsevier DOI
1709
Cast shadows
BibRef
Jammalamadaka, N.[Nataraj],
Zisserman, A.[Andrew],
Jawahar, C.V.,
Human pose search using deep networks,
IVC(59), No. 1, 2017, pp. 31-43.
Elsevier DOI
1704
BibRef
Earlier:
Human pose search using deep poselets,
FG15(1-8)
IEEE DOI
1508
Pose retrieval.
image representation
BibRef
Ning, G.,
Zhang, Z.,
He, Z.,
Knowledge-Guided Deep Fractal Neural Networks for Human Pose
Estimation,
MultMed(20), No. 5, May 2018, pp. 1246-1259.
IEEE DOI
1805
Biological system modeling, Fractals, Knowledge engineering,
Neural networks, Pose estimation, Training, Human pose estimation,
knowledge-guided learning
BibRef
Lim, J.[Jongin],
Yoo, Y.J.[Young-Joon],
Heo, B.[Byeongho],
Choi, J.Y.[Jin Young],
Pose transforming network: Learning to disentangle human posture in
variational auto-encoded latent space,
PRL(112), 2018, pp. 91-97.
Elsevier DOI
1809
Human pose transform,
Disentangle hidden factors in latent space, Generative model,
Variational auto-encoder
BibRef
Wang, S.,
Xin, Y.,
Kong, D.,
Yin, B.,
Unsupervised Learning of Human Pose Distance Metric via Sparsity
Locality Preserving Projections,
MultMed(21), No. 2, February 2019, pp. 314-327.
IEEE DOI
1902
Measurement, Robots, Resource management, Image recognition,
Databases, Learning systems, Skeleton, Pose similarity,
locality preserving projection
BibRef
Liu, J.[Jian],
Rahmani, H.[Hossein],
Akhtar, N.[Naveed],
Mian, A.S.[Ajmal S.],
Learning Human Pose Models from Synthesized Data for Robust RGB-D
Action Recognition,
IJCV(127), No. 10, October 2019, pp. 1545-1564.
Springer DOI
1909
BibRef
Nie, X.,
Feng, J.,
Xing, J.,
Xiao, S.,
Yan, S.,
Hierarchical Contextual Refinement Networks for Human Pose Estimation,
IP(28), No. 2, February 2019, pp. 924-936.
IEEE DOI
1811
Pose estimation, Complexity theory, Heating systems,
Biological system modeling, Predictive models, Iterative methods,
hierarchical contextual refinement network
BibRef
Cha, G.[Geonho],
Lee, M.[Minsik],
Cho, J.C.[Jung-Chan],
Oh, S.H.[Song-Hwai],
Deep pose consensus networks,
CVIU(182), 2019, pp. 64-70.
Elsevier DOI
1905
3D human pose estimation,
Single-image-based 3D human pose estimation,
Multiple-partial-hypothesis-based scheme.
BibRef
Chen, Y.C.[Yu-Cheng],
Tian, Y.[Yingli],
He, M.Y.[Ming-Yi],
Monocular human pose estimation: A survey of deep learning-based
methods,
CVIU(192), 2020, pp. 102897.
Elsevier DOI
2002
Deep learning, Human pose estimation, Survey
BibRef
Zheng, X.T.[Xiang-Tao],
Chen, X.M.[Xiu-Mei],
Lu, X.Q.[Xiao-Qiang],
A Joint Relationship Aware Neural Network for Single-Image 3D Human
Pose Estimation,
IP(29), 2020, pp. 4747-4758.
IEEE DOI
2003
Pose estimation, Feature extraction, dual attention module
BibRef
Wang, K.[Keze],
Lin, L.[Liang],
Jiang, C.H.[Chen-Han],
Qian, C.[Chen],
Wei, P.X.[Peng-Xu],
3D Human Pose Machines with Self-Supervised Learning,
PAMI(42), No. 5, May 2020, pp. 1069-1082.
IEEE DOI
2004
Pose estimation, Solid modeling, Task analysis, Deep learning,
geometric deep learning
BibRef
de Bem, R.[Rodrigo],
Ghosh, A.[Arnab],
Ajanthan, T.[Thalaiyasingam],
Miksik, O.[Ondrej],
Boukhayma, A.[Adnane],
Siddharth, N.,
Torr, P.H.S.[Philip H.S.],
DGPose: Deep Generative Models for Human Body Analysis,
IJCV(128), No. 5, May 2020, pp. 1537-1563.
Springer DOI
2005
BibRef
Earlier: A1, A2, A3, A4, A6, A7, Only:
A Semi-supervised Deep Generative Model for Human Body Analysis,
HBU18(II:500-517).
Springer DOI
1905
BibRef
Bin, Y.R.[Yan-Rui],
Chen, Z.M.[Zhao-Min],
Wei, X.S.[Xiu-Shen],
Chen, X.[Xinya],
Gao, C.X.[Chang-Xin],
Sang, N.[Nong],
Structure-aware human pose estimation with graph convolutional
networks,
PR(106), 2020, pp. 107410.
Elsevier DOI
2006
Human pose estimation, Graph convolutional networks, Key points structural relations
BibRef
Rogez, G.[Grégory],
Schmid, C.[Cordelia],
Image-Based Synthesis for Deep 3D Human Pose Estimation,
IJCV(126), No. 9, September 2018, pp. 993-1008.
Springer DOI
1809
BibRef
Rogez, G.[Grégory],
Weinzaepfel, P.[Philippe],
Schmid, C.[Cordelia],
LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images,
PAMI(42), No. 5, May 2020, pp. 1146-1161.
IEEE DOI
2004
BibRef
Earlier:
LCR-Net: Localization-Classification-Regression for Human Pose,
CVPR17(1216-1224)
IEEE DOI
1711
Pose estimation, Proposals, Joints, Heating systems, Training data, CNN.
Computer architecture, Standards, Training.
BibRef
Leroy, V.,
Weinzaepfel, P.[Philippe],
Brégier, R.,
Combaluzier, H.,
Rogez, G.[Grégory],
SMPLy Benchmarking 3D Human Pose Estimation in the Wild,
3DV20(301-310)
IEEE DOI
2102
Pose estimation, Benchmark testing, Videos, Shape, Pipelines, dataset
BibRef
Baradel, F.[Fabien],
Brégier, R.[Romain],
Groueix, T.[Thibault],
Weinzaepfel, P.[Philippe],
Kalantidis, Y.[Yannis],
Rogez, G.[Grégory],
PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling,
PAMI(45), No. 11, November 2023, pp. 12798-12815.
IEEE DOI
2310
BibRef
Sridhar Raj, S.,
Prasad, M.V.N.K.[Munaga V.N.K.],
Balakrishnan, R.[Ramadoss],
Deep manifold clustering based optimal pseudo pose representation
(DMC-OPPR) for unsupervised person re-identification,
IVC(101), 2020, pp. 103956.
Elsevier DOI
2009
Person re-identification, Clustering, Pose estimation,
Representation, Deep learning
BibRef
Tian, L.[Lei],
Wang, P.[Peng],
Liang, G.Q.[Guo-Qiang],
Shen, C.H.[Chun-Hua],
An adversarial human pose estimation network injected with graph
structure,
PR(115), 2021, pp. 107863.
Elsevier DOI
2104
Human pose estimation, Cascade feature network,
Graph structure network, Generative adversarial network
BibRef
Chen, Y.[Yu],
Shen, C.H.[Chun-Hua],
Wei, X.S.[Xiu-Shen],
Liu, L.Q.[Ling-Qiao],
Yang, J.[Jian],
Adversarial PoseNet: A Structure-Aware Convolutional Network for
Human Pose Estimation,
ICCV17(1221-1230)
IEEE DOI
1802
feedforward neural nets, learning (artificial intelligence),
pose estimation, Adversarial PoseNet,
Training
BibRef
Gochoo, M.[Munkhjargal],
Akhter, I.[Israr],
Jalal, A.[Ahmad],
Kim, K.[Kibum],
Stochastic Remote Sensing Event Classification over Adaptive Posture
Estimation via Multifused Data and Deep Belief Network,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Kamel, A.[Aouaidjia],
Sheng, B.[Bin],
Li, P.[Ping],
Kim, J.M.[Jin-Man],
Feng, D.D.[David Dagan],
Hybrid Refinement-Correction Heatmaps for Human Pose Estimation,
MultMed(23), 2021, pp. 1330-1342.
IEEE DOI
2105
Pose estimation, Heating systems, Feature extraction,
Predictive models, Convolutional neural networks, Detectors,
heatmaps fusion
BibRef
Nie, Q.A.[Qi-Ang],
Liu, Y.H.[Yun-Hui],
View Transfer on Human Skeleton Pose: Automatically Disentangle the
View-Variant and View-Invariant Information for Pose Representation
Learning,
IJCV(129), No. 1, January 2021, pp. 1-22.
Springer DOI
2101
BibRef
Nie, Q.A.[Qi-Ang],
Liu, Z.W.[Zi-Wei],
Liu, Y.H.[Yun-Hui],
Unsupervised 3d Human Pose Representation with Viewpoint and Pose
Disentanglement,
ECCV20(XIX:102-118).
Springer DOI
2011
BibRef
Benzine, A.[Abdallah],
Luvison, B.[Bertrand],
Pham, Q.C.[Quoc Cuong],
Achard, C.[Catherine],
Single-shot 3D multi-person pose estimation in complex images,
PR(112), 2021, pp. 107534.
Elsevier DOI
2102
BibRef
Earlier:
Deep, Robust and Single Shot 3D Multi-Person Human Pose Estimation
from Monocular Images,
ICIP19(584-588)
IEEE DOI
1910
Multi-person, 3D, Human pose, Deep learning
BibRef
Benzine, A.[Abdallah],
Chabot, F.,
Luvison, B.[Bertrand],
Pham, Q.C.[Quoc Cuong],
Achard, C.[Catherine],
PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation,
CVPR20(6855-6864)
IEEE DOI
2008
Pose estimation, Heating systems, Image resolution, Solid modeling, Skeleton.
BibRef
Zhao, L.[Lin],
Wang, N.N.[Nan-Nan],
Gong, C.[Chen],
Yang, J.[Jian],
Gao, X.B.[Xin-Bo],
Estimating Human Pose Efficiently by Parallel Pyramid Networks,
IP(30), 2021, pp. 6785-6800.
IEEE DOI
2108
Semantics, Pose estimation, Computational modeling,
Heating systems, Task analysis, Graphical models,
human pose estimation
BibRef
Wang, H.[Hao],
Luo, D.[Dingli],
Ikenaga, T.[Takeshi],
Image Information Assistance Neural Network for VideoPose3D-based
Monocular 3D Pose Estimation,
MVA21(1-4)
DOI Link
2109
Human computer interaction,
Pose estimation, Neural networks,
Cameras
BibRef
Wang, J.D.[Jing-Dong],
Sun, K.[Ke],
Cheng, T.H.[Tian-Heng],
Jiang, B.[Borui],
Deng, C.R.[Chao-Rui],
Zhao, Y.[Yang],
Liu, D.[Dong],
Mu, Y.D.[Ya-Dong],
Tan, M.K.[Ming-Kui],
Wang, X.G.[Xing-Gang],
Liu, W.Y.[Wen-Yu],
Xiao, B.[Bin],
Deep High-Resolution Representation Learning for Visual Recognition,
PAMI(43), No. 10, October 2021, pp. 3349-3364.
IEEE DOI
2109
Spatial resolution, Semantics, Object detection, Pose estimation,
Convolutional codes, Indexes, Image segmentation, HRNet,
object detection
BibRef
Sun, K.[Ke],
Xiao, B.[Bin],
Liu, D.[Dong],
Wang, J.D.[Jing-Dong],
Deep High-Resolution Representation Learning for Human Pose Estimation,
CVPR19(5686-5696).
IEEE DOI
2002
BibRef
Ben Gamra, M.[Miniar],
Akhloufi, M.A.[Moulay A.],
A review of deep learning techniques for 2D and 3D human pose
estimation,
IVC(114), 2021, pp. 104282.
Elsevier DOI
2109
2D and 3D human pose estimation,
Single-person and multi-person pose estimation,
BibRef
Fan, Z.[Zhen],
Li, X.[Xiu],
Li, Y.P.[Yi-Peng],
Multi-Agent Deep Reinforcement Learning for Online 3D Human Poses
Estimation,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
McLaughlin, N.[Niall],
Martinez-del-Rincon, J.[Jesus],
Miller, P.[Paul],
3-D Human Pose Estimation Using Iterative Conditional Squeeze and
Excitation Networks,
Cyber(52), No. 1, January 2022, pp. 687-699.
IEEE DOI
2201
Pose estimation, Network architecture, Space heating,
Task analysis, Optimization, Joints, Iterative methods,
human pose estimation
BibRef
Yu, H.[Han],
Du, C.[Congju],
Yu, L.[Li],
Scale-aware heatmap representation for human pose estimation,
PRL(154), 2022, pp. 1-6.
Elsevier DOI
2202
Human pose estimation, Multi-person, Heatmap representation
BibRef
Du, C.[Congju],
Yu, H.[Han],
Yu, L.[Li],
A scale-sensitive heatmap representation for multi-person pose
estimation,
IET-IPR(16), No. 4, 2022, pp. 1194-1207.
DOI Link
2203
BibRef
Yang, K.B.[Kai-Bing],
Gu, R.[Renshu],
Wang, M.[Maoyu],
Toyoura, M.[Masahiro],
Xu, G.[Gang],
LASOR: Learning Accurate 3D Human Pose and Shape via Synthetic
Occlusion-Aware Data and Neural Mesh Rendering,
IP(31), 2022, pp. 1938-1948.
IEEE DOI
2202
Shape, Training data, Training, Cameras, Biological system modeling,
Solid modeling, 3D human pose and shape estimation, 2D keypoint
BibRef
Luo, Y.M.[Yan-Min],
Ou, Z.L.[Zhi-Long],
Wan, T.J.[Tian-Jun],
Guo, J.M.[Jing-Ming],
FastNet: Fast high-resolution network for human pose estimation,
IVC(119), 2022, pp. 104390.
Elsevier DOI
2202
Human pose estimation, FastNet, Asymmetric bottleneck module, Waterfall module
BibRef
Zhang, K.[Ke],
Li, Y.Q.[Yuan-Qing],
Wang, J.Y.[Jing-Yu],
Cambria, E.[Erik],
Li, X.L.[Xue-Long],
Real-Time Video Emotion Recognition Based on Reinforcement Learning
and Domain Knowledge,
CirSysVideo(32), No. 3, March 2022, pp. 1034-1047.
IEEE DOI
2203
Emotion recognition, Real-time systems, Streaming media,
Brain modeling, Reinforcement learning, Visualization,
real-time video conversation
BibRef
Xu, X.Y.[Xiang-Yu],
Chen, H.[Hao],
Moreno-Noguer, F.[Francesc],
Jeni, L.A.[László A.],
de la Torre, F.[Fernando],
3D Human Pose, Shape and Texture From Low-Resolution Images and
Videos,
PAMI(44), No. 9, September 2022, pp. 4490-4504.
IEEE DOI
2208
BibRef
Earlier:
3d Human Shape and Pose from a Single Low-resolution Image with
Self-supervised Learning,
ECCV20(IX:284-300).
Springer DOI
2011
Image resolution, Shape, Estimation, Training, Solid modeling, Videos,
3D human pose and shape, low-resolution, neural network,
video
BibRef
Xu, X.Y.[Xiang-Yu],
Change, C.[Chen],
3D Human Texture Estimation from a Single Image with Transformers,
ICCV21(13829-13838)
IEEE DOI
2203
Image color analysis, Estimation, Transformers,
Convolutional neural networks, Image reconstruction,
3D from a single image and shape-from-x
BibRef
Lee, K.[Kyoungoh],
Kim, W.[Woojae],
Lee, S.H.[Sang-Hoon],
From Human Pose Similarity Metric to 3D Human Pose Estimator:
Temporal Propagating LSTM Networks,
PAMI(45), No. 2, February 2023, pp. 1781-1797.
IEEE DOI
2301
Measurement, Pose estimation, Correlation, Solid modeling, Entropy,
Analytical models, Human perceptual characteristics,
temporal propagating LSTM networks
BibRef
Lan, G.[Gongjin],
Wu, Y.[Yu],
Hu, F.[Fei],
Hao, Q.[Qi],
Vision-Based Human Pose Estimation via Deep Learning: A Survey,
HMS(53), No. 1, February 2023, pp. 253-268.
IEEE DOI
2301
Survey, Human Pose. Heating systems, Task analysis, Measurement,
Deep learning, Pose estimation, Pipelines, Action recognition,
human pose estimation (HPE)
BibRef
Jiang, C.[Chenru],
Huang, K.Z.[Kai-Zhu],
Zhang, S.F.[Shu-Fei],
Wang, X.H.[Xin-Heng],
Xiao, J.[Jimin],
Goulermas, Y.[Yannis],
Aggregated pyramid gating network for human pose estimation without
pre-training,
PR(138), 2023, pp. 109429.
Elsevier DOI
2303
Pyramid gating system, Stabilization, Human pose estimation
BibRef
Papaioannidis, C.[Christos],
Mademlis, I.[Ioannis],
Pitas, I.[Ioannis],
Fast CNN-Based Single-Person 2D Human Pose Estimation for Autonomous
Systems,
CirSysVideo(33), No. 3, March 2023, pp. 1262-1275.
IEEE DOI
2303
Pose estimation, Head, Task analysis, Feature extraction, Training,
Biological system modeling, 2D human pose estimation,
autonomous systems
BibRef
Liu, D.J.[Dong-Jingdian],
Gao, S.[Shouwan],
Chen, P.P.[Peng-Peng],
Cheng, L.[Lei],
A generality hard channel pruning with adaptive compression rate
selection for HRNet,
PRL(168), 2023, pp. 107-114.
Elsevier DOI
2304
Human pose estimation, Network slimming, Convolution networks,
Optimization algorithm
BibRef
Liu, W.K.[Wen-Kai],
Qin, C.Z.[Cui-Zhu],
Wu, M.L.[Meng-Long],
Bai, W.L.[Wen-Le],
Dong, H.X.[Hong-Xia],
Selective Learning of Human Pose Estimation Based on Multi-Scale
Convergence Network,
IEICE(E106-D), No. 5, May 2023, pp. 1081-1084.
WWW Link.
2305
BibRef
Hua, G.L.[Guo-Liang],
Liu, H.[Hong],
Li, W.H.[Wen-Hao],
Zhang, Q.[Qian],
Ding, R.[Runwei],
Xu, X.[Xin],
Weakly-Supervised 3D Human Pose Estimation With Cross-View U-Shaped
Graph Convolutional Network,
MultMed(25), 2023, pp. 1832-1843.
IEEE DOI
2306
Cameras, Pose estimation, Solid modeling, Pipelines, Correlation,
Training, 3D human pose estimation, cross-view,
weakly-supervised learning
BibRef
Guan, S.[Shannan],
Lu, H.Y.[Hai-Yan],
Zhu, L.C.[Lin-Chao],
Fang, G.[Gengfa],
PoseGU: 3D human pose estimation with novel human pose generator and
unbiased learning,
CVIU(233), 2023, pp. 103715.
Elsevier DOI
2307
3D pose estimation, Unbiased learning, Counterfactual risk minimization
BibRef
Zheng, C.[Ce],
Wu, W.H.[Wen-Han],
Chen, C.[Chen],
Yang, T.J.N.[Tao-Jian-Nan],
Zhu, S.J.[Si-Jie],
Shen, J.[Ju],
Kehtarnavaz, N.[Nasser],
Shah, M.[Mubarak],
Deep Learning-Based Human Pose Estimation: A Survey,
Surveys(56), No. 1, August 2023, pp. 11.
DOI Link
2310
Survey, Pose Estimation. deep learning-based pose estimation, pose estimation datasets,
Survey of human pose estimation, pose estimation metrics,
2D and 3D pose estimation
BibRef
Zheng, C.[Ce],
Wu, W.H.[Wen-Han],
Yang, T.J.N.[Tao-Jian-Nan],
Zhu, S.J.[Si-Jie],
Chen, C.[Chen],
Liu, R.X.[Rui-Xu],
Shen, J.[Ju],
Kehtarnavaz, N.[Nasser],
Shah, M.[Mubarak],
Deep Learning-Based Human Pose Estimation,
OnlineJanuary 2021.
PDF File.
2101
BibRef
Lv, X.Q.[Xue-Qiang],
Hao, W.[Wei],
Tian, L.[Lianghai],
Han, J.[Jing],
Chen, Y.Z.[Yu-Zhong],
Cai, Z.[Zangtai],
LiteDEKR: End-to-end lite 2D human pose estimation network,
IET-IPR(17), No. 12, 2023, pp. 3392-3400.
DOI Link
2310
convolutional neural nets, pose estimation
BibRef
Du, S.[Songlin],
Yuan, Z.W.[Zhi-Wei],
Lai, P.[Peifu],
Ikenaga, T.[Takeshi],
JoyPose: Jointly learning evolutionary data augmentation and
anatomy-aware global-local representation for 3D human pose
estimation,
PR(147), 2024, pp. 110116.
Elsevier DOI
2312
3D human pose estimation, Evolutionary data augmentation,
Global-local representation, Anatomy-awareness, Joint optimization
BibRef
Yang, Z.D.[Zhen-Dong],
Zeng, A.[Ailing],
Yuan, C.[Chun],
Li, Y.[Yu],
Effective Whole-body Pose Estimation with Two-stages Distillation,
CVMeta23(4212-4222)
IEEE DOI Code:
WWW Link.
2401
BibRef
Peng, Q.C.[Qu-Cheng],
Zheng, C.[Ce],
Chen, C.[Chen],
Source-free Domain Adaptive Human Pose Estimation,
ICCV23(4803-4813)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhang, Z.W.[Zhe-Wei],
Liu, M.[Mingen],
Shen, J.Y.[Jun-Yu],
Cheng, Y.J.[Yu-Jun],
Wang, S.J.[Sheng-Jin],
Lightweight Whole-Body Human Pose Estimation With Two-Stage
Refinement Training Strategy,
HMS(54), No. 1, February 2024, pp. 121-130.
IEEE DOI
2402
Training, Pose estimation, Heating systems, Real-time systems,
Task analysis, Faces, Human-machine systems, Deep learning,
whole-body pose estimation
BibRef
Zheng, Q.[Qian],
Guo, H.L.[Hua-Ling],
Yin, Y.[Yunhua],
Zheng, B.[Bin],
Jiang, H.X.[Hong-Xu],
LFSimCC: Spatial fusion lightweight network for human pose estimation,
JVCIR(99), 2024, pp. 104093.
Elsevier DOI
2403
Lightweight model, SimCC, Self attention mechanism, Spatial information fusion
BibRef
Kim, D.H.[Dong-Hwi],
Lee, D.H.[Dong-Hun],
Kim, A.[Aro],
Jeong, J.[Jinwoo],
Lee, J.T.[Jong Taek],
Kim, S.J.[Sung-Jei],
Park, S.H.[Sang-Hyo],
Pruning-guided feature distillation for an efficient
transformer-based pose estimation model,
IET-CV(18), No. 6, 2024, pp. 745-758.
DOI Link
2409
computational complexity,
learning (artificial intelligence), pose estimation
BibRef
Gonzalez-Cely, A.X.[Aura Ximena],
Blanco-Diaz, C.F.[Cristian Felipe],
Bastos-Filho, T.[Teodiano],
Rodriguez-Diaz, C.A.[Camilo Arturo],
Real-Time Posture Identification System for Wheelchair Users
Preventing the Generation of Pressure Ulcers,
HMS(54), No. 5, October 2024, pp. 546-553.
IEEE DOI
2410
Wheelchairs, Sensors, Pressure sensors, Real-time systems,
Monitoring, Photodetectors, Sensor systems, wheelchair
BibRef
Bao, W.X.[Wen-Xia],
Lin, A.[An],
Huang, H.[Hua],
Yang, X.J.[Xian-Jun],
Chen, H.[Hemu],
Multi-Scale Contrastive Learning for Human Pose Estimation,
IEICE(E108-D), No. 10, October 2024, pp. 1332-1341.
WWW Link.
2410
BibRef
Altindis, S.F.[Said Fahri],
Meric, A.[Adil],
Dalva, Y.[Yusuf],
Güdükbay, U.[Ugur],
Dundar, A.[Aysegul],
Refining 3D Human Texture Estimation From a Single Image,
PAMI(46), No. 12, December 2024, pp. 11464-11475.
IEEE DOI
2411
Estimation, Image reconstruction, Convolution, Solid modeling,
Training, Rendering (computer graphics), Texture estimation,
uncertainty estimation
BibRef
Feng, C.[Cun],
Zhang, R.[Rong],
Guo, L.J.[Li-Jun],
HR-xNet: A Novel High-Resolution Network for Human Pose Estimation
with Low Resource Consumption,
FG24(1-7)
IEEE DOI
2408
Adaptation models, Convolution, Pose estimation, Semantics,
Transforms, Gesture recognition, Feature extraction
BibRef
Hardy, P.[Peter],
Kim, H.S.[Han-Sung],
LInKs 'Lifting Independent Keypoints' - Partial Pose Lifting for
Occlusion Handling with Improved Accuracy in 2D-3D Human Pose
Estimation,
WACV24(3414-3423)
IEEE DOI
2404
Training, Pose estimation, Kinematics, Skeleton, Stability analysis,
Task analysis, Algorithms, 3D computer vision, Algorithms
BibRef
Raychaudhuri, D.S.[Dripta S.],
Ta, C.K.[Calvin-Khang],
Dutta, A.[Arindam],
Lal, R.[Rohit],
Roy-Chowdhury, A.K.[Amit K.],
Prior-guided Source-free Domain Adaptation for Human Pose Estimation,
ICCV23(14950-14960)
IEEE DOI
2401
BibRef
Yuan, Z.X.[Zhi-Xiang],
Zhang, X.[Xitie],
Wu, S.[Suping],
Zhang, B.Y.[Bo-Yang],
Peng, Y.X.[Yu-Xin],
Wang, B.[Bing],
Multi Hybrid Extractor Network for 3D Human Pose Estimation,
ICIP23(3170-3174)
IEEE DOI
2312
BibRef
Cao, H.[Hu],
Jia, M.[Meining],
Wu, S.[Suping],
Frame-level Feature Tokenization Learning for Human Body Pose and
Shape Estimation,
FG21(1-8)
IEEE DOI
2303
Correlation, Shape, Face recognition,
Estimation, Gesture recognition, Feature extraction
BibRef
Yang, C.Y.[Cheng-Yen],
Luo, J.J.[Jia-Jia],
Xia, L.[Lu],
Sun, Y.[Yuyin],
Qiao, N.[Nan],
Zhang, K.[Ke],
Jiang, Z.Y.[Zhong-Yu],
Hwang, J.N.[Jenq-Neng],
Kuo, C.H.[Cheng-Hao],
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by
Leveraging In-the-wild 2D Annotations,
WACV23(2923-2932)
IEEE DOI
2302
Training, Solid modeling, Annotations, Pose estimation, Pipelines,
Predictive models, 3D computer vision
BibRef
Sárándi, I.[István],
Hermans, A.[Alexander],
Leibe, B.[Bastian],
Learning 3D Human Pose Estimation from Dozens of Datasets using a
Geometry-Aware Autoencoder to Bridge Between Skeleton Formats,
WACV23(2955-2965)
IEEE DOI
2302
Training, Dimensionality reduction, Solid modeling, Codes,
Pose estimation, Redundancy, Algorithms: Biometrics, face, gesture,
3D computer vision
BibRef
Dong, H.[Hao],
Wang, G.D.[Guo-Dong],
Zhang, X.Y.[Xin-Yue],
Aggregation Transformer for Human Pose Estimation,
ICPR22(3660-3667)
IEEE DOI
2212
Training, Head, Costs, Convolution, Pose estimation,
Predictive models, Transformers
BibRef
Lutz, S.[Sebastian],
Blythman, R.[Richard],
Ghosal, K.[Koustav],
Moynihan, M.[Matthew],
Simms, C.[Ciaran],
Smolic, A.[Aljosa],
Jointformer: Single-Frame Lifting Transformer with Error Prediction
and Refinement for 3D Human Pose Estimation,
ICPR22(1156-1163)
IEEE DOI
2212
Convolutional codes, Pose estimation,
Manuals, Kinematics, Transformers, Multitasking
BibRef
Li, Y.[Yang],
Jiao, P.[Peng],
Wang, H.Q.[Hao-Qian],
Pyramid Knowledge Distillation for Efficient Human Pose Estimation,
ICIP22(2177-2181)
IEEE DOI
2211
Image coding, Correlation, Costs, Computational modeling,
Pose estimation, Benchmark testing, Real-time systems,
Human pose estimation
BibRef
Gong, K.[Kehong],
Li, B.B.[Bing-Bing],
Zhang, J.F.[Jian-Feng],
Wang, T.[Tao],
Huang, J.[Jing],
Mi, M.B.[Michael Bi],
Feng, J.S.[Jia-Shi],
Wang, X.C.[Xin-Chao],
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and
Hallucination under Self-supervision,
CVPR22(11007-11017)
IEEE DOI
2210
Training, Tracking, Pose estimation, Transforms, Benchmark testing,
Pose estimation and tracking
BibRef
Chu, S.W.[Shek Wai],
Zhang, C.Y.[Chao-Yi],
Song, Y.[Yang],
Cai, W.D.[Wei-Dong],
Channel-Position Self-Attention with Query Refinement Skeleton Graph
Neural Network in Human Pose Estimation,
ICIP22(971-975)
IEEE DOI
2211
Computational modeling, Pose estimation, Refining,
Predictive models, Deep learning, Convolution Neural Network,
Human Pose Estimation
BibRef
He, Y.N.[Yan-Nan],
Tiwari, G.[Garvita],
Birdal, T.[Tolga],
Lenssen, J.E.[Jan Eric],
Pons-Moll, G.[Gerard],
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose
Priors,
CVPR24(1661-1671)
IEEE DOI
2410
Manifolds, Backpropagation, Animals, Computational modeling,
Pose estimation, Kinematics, pose prior, distance field, Riemannian manifold
BibRef
Tiwari, G.[Garvita],
Antic, D.[Dimitrije],
Lenssen, J.E.[Jan Eric],
Sarafianos, N.[Nikolaos],
Tung, T.[Tony],
Pons-Moll, G.[Gerard],
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields,
ECCV22(V:572-589).
Springer DOI
2211
BibRef
Azizi, N.[Niloofar],
Possegger, H.[Horst],
Rodolŕ, E.[Emanuele],
Bischof, H.[Horst],
3D Human Pose Estimation Using Möbius Graph Convolutional Networks,
ECCV22(I:160-178).
Springer DOI
2211
BibRef
Wan, Z.[Ziniu],
Li, Z.J.[Zheng-Jia],
Tian, M.Q.[Mao-Qing],
Liu, J.B.[Jian-Bo],
Yi, S.[Shuai],
Li, H.S.[Hong-Sheng],
Encoder-decoder with Multi-level Attention for 3D Human Shape and
Pose Estimation,
ICCV21(13013-13022)
IEEE DOI
2203
Training, Shape, Network topology, Pose estimation, Kinematics,
Topology, 3D from a single image and shape-from-x, Gestures and body pose
BibRef
Chen, H.Y.[Hao-Yu],
Tang, H.[Hao],
Shi, H.L.[Heng-Lin],
Peng, W.[Wei],
Sebe, N.[Nicu],
Zhao, G.Y.[Guo-Ying],
Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer,
ICCV21(8610-8619)
IEEE DOI
2203
Training, Interpolation, Solid modeling, Codes, Laplace equations,
Shape, Transfer/Low-shot/Semi/Unsupervised Learning,
Gestures and body pose
BibRef
Garau, N.[Nicola],
Bisagno, N.[Niccolň],
Bródka, P.[Piotr],
Conci, N.[Nicola],
DECA: Deep viewpoint-Equivariant human pose estimation using Capsule
Autoencoders,
ICCV21(11657-11666)
IEEE DOI
2203
Training, Deep learning, Codes, Pose estimation, Routing,
Gestures and body pose,
Vision applications and systems
BibRef
Li, Y.J.[Yan-Jie],
Zhang, S.K.[Shou-Kui],
Wang, Z.C.[Zhi-Cheng],
Yang, S.[Sen],
Yang, W.K.[Wan-Kou],
Xia, S.T.[Shu-Tao],
Zhou, E.[Erjin],
TokenPose: Learning Keypoint Tokens for Human Pose Estimation,
ICCV21(11293-11302)
IEEE DOI
2203
Visualization, Codes, Pose estimation, Computer architecture,
Transformers, Computational efficiency, Gestures and body pose,
BibRef
Zhang, X.H.[Xi-Heng],
Wong, Y.K.[Yong-Kang],
Wu, X.F.[Xiao-Fei],
Lu, J.W.[Ju-Wei],
Kankanhalli, M.S.[Mohan S.],
Li, X.D.[Xiang-Dong],
Geng, W.D.[Wei-Dong],
Learning Causal Representation for Training Cross-Domain Pose
Estimator via Generative Interventions,
ICCV21(11250-11260)
IEEE DOI
2203
Training, Representation learning, Deep learning, Visualization,
Correlation, Pose estimation, Gestures and body pose,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Hinojosa, C.[Carlos],
Niebles, J.C.[Juan Carlos],
Arguello, H.[Henry],
Learning Privacy-preserving Optics for Human Pose Estimation,
ICCV21(2553-2562)
IEEE DOI
2203
Integrated optics, Visualization, Privacy, Pose estimation,
Prototypes, Optical computing, Computational photography, Fairness,
Gestures and body pose
BibRef
Kitamura, T.[Takumi],
Teshima, H.[Hitoshi],
Thomas, D.[Diego],
Kawasaki, H.[Hiroshi],
Refining OpenPose with a new sports dataset for robust 2D pose
estimation,
WinterSports22(672-681)
IEEE DOI
2202
Training, Head, Pose estimation,
Refining, Data collection, Robustness
See also OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields.
BibRef
Chu, S.W.[Shek Wai],
Zhang, C.Y.[Chao-Yi],
Song, Y.[Yang],
Cai, W.D.[Wei-Dong],
Iterative Subnetwork With Linear Hierarchical Ordering for Human Pose
Estimation,
ICIP21(514-518)
IEEE DOI
2201
Wrist, Heating systems, Convolution, Image processing,
Computational modeling, Deep learning, human pose estimation
BibRef
Zhang, W.Q.[Wu-Qiang],
Guo, Z.J.[Zi-Jie],
Zhi, R.[Rong],
Wang, B.F.[Bao-Feng],
Deep Active Learning for Human Pose Estimation Via Consistency
Weighted Core-Set Approach,
ICIP21(909-913)
IEEE DOI
2201
Uncertainty, Image processing, Heuristic algorithms,
Pose estimation, Network architecture, Velocity measurement,
Human pose estimation
BibRef
Banik, S.[Soubarna],
GarcÍa, A.M.[Alejandro Mendoza],
Knoll, A.[Alois],
3D Human Pose Regression Using Graph Convolutional Network,
ICIP21(924-928)
IEEE DOI
2201
Adaptation models, Solid modeling, Adaptive systems, Convolution,
Pose estimation, Throughput, 3D Human pose regression, CNN
BibRef
Thinh, P.T.D.[Phan Tran Dac],
Hung, H.M.[Hoang Manh],
Yang, H.J.[Hyung-Jeong],
Kim, S.H.[Soo-Hyung],
Lee, G.S.[Guee-Sang],
Emotion Recognition With Sequential Multi-task Learning Technique,
ABAW21(3586-3589)
IEEE DOI
2112
Training, Emotion recognition,
Computer architecture, Task analysis, Faces
BibRef
Mihajlovic, M.[Marko],
Zhang, Y.[Yan],
Black, M.J.[Michael J.],
Tang, S.[Siyu],
LEAP: Learning Articulated Occupancy of People,
CVPR21(10456-10466)
IEEE DOI
2111
Deformable models, Solid modeling,
Shape, Biological system modeling, NASA, Estimation
BibRef
Liu, Z.G.[Zhen-Guang],
Chen, H.M.[Hao-Ming],
Feng, R.Y.[Run-Yang],
Wu, S.[Shuang],
Ji, S.L.[Shou-Ling],
Yang, B.L.[Bai-Lin],
Wang, X.[Xun],
Deep Dual Consecutive Network for Human Pose Estimation,
CVPR21(525-534)
IEEE DOI
2111
Recurrent neural networks,
Corporate acquisitions, Pose estimation, Video sequences, Refining, Detectors
BibRef
Tran, T.Q.[Trung Q.],
Nguyen, G.V.[Giang V.],
Kim, D.[Daeyoung],
Simple Multi-Resolution Representation Learning for Human Pose
Estimation,
ICPR21(511-518)
IEEE DOI
2105
Heating systems, Image segmentation, Image resolution,
Image recognition, Surveillance, Pose estimation, Computer architecture
BibRef
Tripathi, S.,
Ranade, S.,
Tyagi, A.,
Agrawal, A.,
PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge
Distillation,
3DV20(311-321)
IEEE DOI
2102
Training, Solid modeling, Skeleton, Predictive models, Semantics, 3DPW
BibRef
Pramerdorfer, C.,
Strohmayer, J.,
Kampel, M.,
SDT: A Synthetic Multi-Modal Dataset For Person Detection And Pose
Classification,
ICIP20(1611-1615)
IEEE DOI
2011
Thermal sensors, Image sensors,
Sensor phenomena and characterization, deep learning
BibRef
Dani, M.[Meghal],
Narain, K.[Karan],
Hebbalaguppe, R.[Ramya],
3DPoseLite: A Compact 3D Pose Estimation Using Node Embeddings,
WACV21(1877-1886)
IEEE DOI
2106
Solid modeling,
Computational modeling, Pose estimation, Neural networks
BibRef
Zhang, Y.H.[Ya-Hui],
You, S.D.[Shao-Di],
Gevers, T.[Theo],
Orthographic Projection Linear Regression for Single Image 3D Human
Pose Estimation,
ICPR21(8109-8116)
IEEE DOI
2105
Linear regression,
Pose estimation, Neural networks, Imaging
BibRef
Makantasis, K.[Konstantinos],
Voulodimos, A.[Athanasios],
Doulamis, A.[Anastasios],
Bakalos, N.[Nikolaos],
Doulamis, N.[Nikolaos],
Space-Time Domain Tensor Neural Networks:
An Application on Human Pose Classification,
ICPR21(4688-4695)
IEEE DOI
2105
Training, Solid modeling, Protocols, Tensors,
Neural networks, Data models
BibRef
Liu, H.[Hong],
Guan, L.[Lisi],
Efficient High-Resolution High-Level-Semantic Representation Learning
for Human Pose Estimation,
ICPR21(7862-7867)
IEEE DOI
2105
Convolution, Semantics, Pose estimation, Benchmark testing,
Feature extraction, Computational efficiency, Data mining
BibRef
Qammaz, A.[Ammar],
Argyros, A.[Antonis],
Occlusion-tolerant and personalized 3D human pose estimation in RGB
images,
ICPR21(6904-6911)
IEEE DOI
2105
Pose estimation, Neural networks,
Kinematics, Color, Real-time systems
BibRef
Bulat, A.,
Kossaifi, J.,
Tzimiropoulos, G.,
Pantic, M.,
Toward fast and accurate human pose estimation via soft-gated skip
connections,
FG20(8-15)
IEEE DOI
2102
Pose estimation, Computer architecture, Neural networks, Training,
Network architecture, Convolution, Logic gates,
Convolutional Neural Networks
BibRef
Zhou, L.[Lu],
Chen, Y.Y.[Ying-Ying],
Gao, Y.Z.[Yun-Ze],
Wang, J.Q.[Jin-Qiao],
Lu, H.Q.[Han-Qing],
Occlusion-aware Siamese Network for Human Pose Estimation,
ECCV20(XX:396-412).
Springer DOI
2011
BibRef
Wang, J.[Jian],
Long, X.[Xiang],
Gao, Y.[Yuan],
Ding, E.R.[Er-Rui],
Wen, S.L.[Shi-Lei],
Graph-pcnn: Two Stage Human Pose Estimation with Graph Pose Refinement,
ECCV20(XI:492-508).
Springer DOI
2011
BibRef
Hwang, D.,
Kim, S.,
Monet, N.,
Koike, H.,
Bae, S.,
Lightweight 3D Human Pose Estimation Network Training Using
Teacher-Student Learning,
WACV20(468-477)
IEEE DOI
2006
Pose estimation, Solid modeling,
Heating systems, Training, Real-time systems
BibRef
Das, S.,
Kishore, P.S.R.,
Bhattacharya, U.,
An End-To-End Framework For Pose Estimation of Occluded Pedestrians,
ICIP20(1446-1450)
IEEE DOI
2011
Pose estimation, Feature extraction, Training, Image segmentation,
Detectors, Benchmark testing, Pose Estimation,
Adversarial Learning
BibRef
Zhang, K.[Kun],
He, P.[Peng],
Yao, P.[Ping],
Chen, G.[Ge],
Wu, R.[Rui],
Du, M.[Min],
Li, H.M.[Hui-Min],
Fu, L.[Li],
Zheng, T.Y.[Tian-Yao],
Learning Enhanced Resolution-Wise Features For Human Pose Estimation,
ICIP20(2256-2260)
IEEE DOI
2011
Pose estimation, Heating systems, Ground penetrating radar,
Feature extraction, Random access memory, Training, Task analysis,
Attention Mechanism
BibRef
Scott, J.[Jesse],
Ravichandran, B.[Bharadwaj],
Funk, C.[Christopher],
Collins, R.T.[Robert T.],
Liu, Y.X.[Yan-Xi],
From Image to Stability: Learning Dynamics from Human Pose,
ECCV20(XXIII:536-554).
Springer DOI
2011
BibRef
Cheng, B.,
Xiao, B.,
Wang, J.,
Shi, H.,
Huang, T.S.,
Zhang, L.,
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human
Pose Estimation,
CVPR20(5385-5394)
IEEE DOI
2008
Heating systems, Pose estimation, Convolution, Spatial resolution,
Deconvolution, Training
BibRef
Ryou, S.[Serim],
Jeong, S.G.[Seong-Gyun],
Perona, P.[Pietro],
Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty,
ICCV19(5991-6000)
IEEE DOI
2004
entropy, image classification, Modulation,
learning (artificial intelligence), neural nets, pose estimation.
BibRef
Duan, H.,
Lin, K.,
Jin, S.,
Liu, W.,
Qian, C.,
Ouyang, W.,
TRB: A Novel Triplet Representation for Understanding 2D Human Body,
ICCV19(9478-9487)
IEEE DOI
2004
image capture, image representation,
learning (artificial intelligence), message passing, Convolution
BibRef
Sharma, S.,
Varigonda, P.T.,
Bindal, P.,
Sharma, A.,
Jain, A.,
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking,
ICCV19(2325-2334)
IEEE DOI
2004
Code, Human Pose.
WWW Link. learning (artificial intelligence), neural nets, pose estimation,
solid modelling, stereo image processing,
Heating systems
BibRef
Kocabas, M.[Muhammed],
Karagoz, S.[Salih],
Akbas, E.[Emre],
Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry,
CVPR19(1077-1086).
IEEE DOI
2002
BibRef
Martin, J.B.[Jesus Bujalance],
Moutarde, F.[Fabien],
Real-time Gestural Control of Robot Manipulator Through Deep Learning
Human-pose Inference,
CVS19(565-572).
Springer DOI
1912
BibRef
Tang, S.,
Tan, F.,
Cheng, K.,
Li, Z.,
Zhu, S.,
Tan, P.,
A Neural Network for Detailed Human Depth Estimation From a Single
Image,
ICCV19(7749-7758)
IEEE DOI
2004
cameras, feature extraction,
image colour analysis, learning (artificial intelligence), Skeleton
BibRef
Cai, Y.J.[Yu-Jun],
Ge, L.H.[Liu-Hao],
Liu, J.[Jun],
Cai, J.F.[Jian-Fei],
Cham, T.J.[Tat-Jen],
Yuan, J.S.[Jun-Song],
Magnenat-Thalmann, N.[Nadia],
Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via
Graph Convolutional Networks,
ICCV19(2272-2281)
IEEE DOI
2004
convolutional neural nets, feature extraction, graph theory,
image representation, image sequences, Kernel
BibRef
Wang, B.,
Adeli, E.,
Chiu, H.,
Huang, D.,
Niebles, J.C.[Juan Carlos],
Imitation Learning for Human Pose Prediction,
ICCV19(7123-7132)
IEEE DOI
2004
image motion analysis, neural net architecture,
pose estimation, recurrent neural nets, supervised learning,
BibRef
Martinez, G.H.,
Raaj, Y.,
Idrees, H.,
Xiang, D.,
Joo, H.,
Simon, T.,
Sheikh, Y.,
Single-Network Whole-Body Pose Estimation,
ICCV19(6981-6990)
IEEE DOI
2004
Code, Human Pose.
WWW Link. computational complexity, face recognition, image resolution,
learning (artificial intelligence), pose estimation
BibRef
Iskakov, K.,
Burkov, E.,
Lempitsky, V.,
Malkov, Y.,
Learnable Triangulation of Human Pose,
ICCV19(7717-7726)
IEEE DOI
2004
Gaussian processes, object tracking, pose estimation,
user interfaces, human pose, multiview 3D, triangulation methods,
Detectors
BibRef
Chen, C.H.[Ching-Hang],
Tyagi, A.[Ambrish],
Agrawal, A.[Amit],
Drover, D.[Dylan],
Rohith, M.V.,
Stojanov, S.[Stefan],
Rehg, J.M.[James M.],
Unsupervised 3D Pose Estimation With Geometric Self-Supervision,
CVPR19(5707-5717).
IEEE DOI
2002
3D human pose from 2D skeletal joints.
BibRef
Yang, L.[Lu],
Song, Q.[Qing],
Wang, Z.H.[Zhi-Hui],
Jiang, M.[Ming],
Parsing R-CNN for Instance-Level Human Analysis,
CVPR19(364-373).
IEEE DOI
2002
BibRef
Zhao, L.[Long],
Peng, X.[Xi],
Tian, Y.[Yu],
Kapadia, M.[Mubbasir],
Metaxas, D.N.[Dimitris N.],
Semantic Graph Convolutional Networks for 3D Human Pose Regression,
CVPR19(3420-3430).
IEEE DOI
2002
BibRef
Chu, S.W.,
Song, Y.,
Zouo, J.J.,
Cai, W.,
Human Pose Estimation Using Deep Convolutional Densenet Hourglass
Network with Intermediate Points Voting,
ICIP19(594-598)
IEEE DOI
1910
Deep learning, convolution neural network, human pose estimation.
BibRef
Peng, X.,
Tang, Z.Q.,
Yang, F.,
Feris, R.S.,
Metaxas, D.,
Jointly Optimize Data Augmentation and Network Training:
Adversarial Data Augmentation in Human Pose Estimation,
CVPR18(2226-2234)
IEEE DOI
1812
Training, Pose estimation, Generators, Neural networks,
Task analysis, Data models
BibRef
Rakhimov, R.[Ruslan],
Bogomolov, E.[Emil],
Notchenko, A.[Alexandr],
Mao, F.[Fung],
Artemov, A.[Alexey],
Zorin, D.[Denis],
Burnaev, E.[Evgeny],
Making DensePose fast and light,
WACV21(1868-1876)
IEEE DOI
2106
Performance evaluation, Computational modeling,
Pipelines, Neural networks, Graphics processing units, Estimation
BibRef
Gochoo, M.,
Tan, T.H.,
Alnajjar, F.,
Hsieh, J.W.,
Chen, P.Y.,
Lownet: Privacy Preserved Ultra-Low Resolution Posture Image
Classification,
ICIP20(663-667)
IEEE DOI
2011
Vegetation, Indexes, Privacy, Ultra-low resolution, CNN, thermal image,
posture classification, privacy preserving
BibRef
Spurlock, S.,
Souvenir, R.,
Multimodal 3D Human Pose Estimation from a Single Image,
3DV19(663-670)
IEEE DOI
1806
Training,
Mutual information, Pose estimation, Solid modeling, CNN
BibRef
Rafi, U.[Umer],
Leibe, B.[Bastian],
Gall, J.[Juergen],
Kostrikov, I.[Ilya],
An Efficient Convolutional Network for Human Pose Estimation,
BMVC16(xx-yy).
HTML Version.
1805
BibRef
Tanabe, S.[Satoshi],
Yamanaka, R.[Ryosuke],
Tomono, M.[Mitsuru],
Ito, M.[Makiko],
Ishihara, T.[Teruo],
Real-Time Human Pose Estimation via Cascaded Neural Networks Embedded
with Multi-task Learning,
CAIP17(II: 241-252).
Springer DOI
1708
BibRef
Marras, I.[Ioannis],
Palasek, P.[Petar],
Patras, I.[Ioannis],
Deep Mixture of MRFs for Human Pose Estimation,
ACCV18(III:717-733).
Springer DOI
1906
BibRef
And:
Deep Globally Constrained MRFs for Human Pose Estimation,
ICCV17(3486-3495)
IEEE DOI
1802
BibRef
Earlier:
Deep Refinement Convolutional Networks for Human Pose Estimation,
FG17(446-453)
IEEE DOI
1707
Markov processes, convolution, neural net architecture,
pose estimation, random processes, ConvNet, Markov Random Field.
Adaptation models, Data models,
Heating systems, Image resolution, Pose estimation
BibRef
Yang, W.,
Ouyang, W.,
Wang, X.,
Ren, J.,
Li, H.,
Wang, X.,
3D Human Pose Estimation in the Wild by Adversarial Learning,
CVPR18(5255-5264)
IEEE DOI
1812
Pose estimation, Generators, Heating systems, Joints, Task analysis
BibRef
Tang, W.[Wei],
Yu, P.[Pei],
Wu, Y.[Ying],
Deeply Learned Compositional Models for Human Pose Estimation,
ECCV18(III: 197-214).
Springer DOI
1810
BibRef
Tekin, B.,
Márquez-Neila, P.,
Salzmann, M.,
Fua, P.,
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose
Estimation,
ICCV17(3961-3970)
IEEE DOI
1802
image fusion, learning (artificial intelligence),
motion estimation, pose estimation, 2D joint locations,
BibRef
Ronchi, M.R.[Matteo Ruggero],
Perona, P.[Pietro],
Benchmarking and Error Diagnosis in Multi-instance Pose Estimation,
ICCV17(369-378)
IEEE DOI
1802
estimation theory,
learning (artificial intelligence), pose estimation, Wrist
BibRef
Wang, H.,
Liang, W.,
Yu, L.F.,
Transferring Objects: Joint Inference of Container and Human Pose,
ICCV17(2952-2960)
IEEE DOI
1802
inference mechanisms,
learning (artificial intelligence), pose estimation,
BibRef
Liu, B.,
Ferrari, V.,
Active Learning for Human Pose Estimation,
ICCV17(4373-4382)
IEEE DOI
1802
learning (artificial intelligence), pose estimation,
active learning framework, active learning process,
Uncertainty
BibRef
Sun, K.,
Lan, C.,
Xing, J.,
Zeng, W.,
Liu, D.,
Wang, J.,
Human Pose Estimation Using Global and Local Normalization,
ICCV17(5600-5608)
IEEE DOI
1802
convolution, learning (artificial intelligence), neural nets,
pose estimation, articulated pose estimation,
Wrist
BibRef
Yang, W.[Wei],
Li, S.[Shuang],
Ouyang, W.L.[Wan-Li],
Li, H.S.[Hong-Sheng],
Wang, X.G.[Xiao-Gang],
Learning Feature Pyramids for Human Pose Estimation,
ICCV17(1290-1299)
IEEE DOI
1802
convolution, feature extraction,
image classification, image representation,
Visualization
BibRef
Ai, B.,
Zhou, Y.[Yu],
Yu, Y.[Yao],
Du, S.[Sidan],
Human Pose Estimation Using Deep Structure Guided Learning,
WACV17(1224-1231)
IEEE DOI
1609
Biological system modeling, Feature extraction,
Heating systems, Kernel, Neural networks, Pose, estimation
See also Markerless Motion Capture of Human Body Using PSO with Single Depth Camera.
BibRef
Azrour, S.[Samir],
Piérard, S.[Sébastien],
Geurts, P.[Pierre],
van Droogenbroeck, M.[Marc],
A Two-Step Methodology for Human Pose Estimation Increasing the
Accuracy and Reducing the Amount of Learning Samples Dramatically,
ACIVS17(3-14).
Springer DOI
1712
BibRef
Ghezelghieh, M.F.,
Kasturi, R.,
Sarkar, S.,
Learning Camera Viewpoint Using CNN to Improve 3D Body Pose
Estimation,
3DV16(685-693)
IEEE DOI
1701
cameras
BibRef
Brau, E.,
Jiang, H.,
3D Human Pose Estimation via Deep Learning from 2D Annotations,
3DV16(582-591)
IEEE DOI
1701
cameras
BibRef
Kwak, S.[Suha],
Cho, M.S.[Min-Su],
Laptev, I.[Ivan],
Thin-Slicing for Pose:
Learning to Understand Pose without Explicit Pose Estimation,
CVPR16(4938-4947)
IEEE DOI
1612
BibRef
Zhou, X.Y.[Xing-Yi],
Sun, X.[Xiao],
Zhang, W.[Wei],
Liang, S.[Shuang],
Wei, Y.C.[Yi-Chen],
Deep Kinematic Pose Regression,
DeepLearn16(III: 186-201).
Springer DOI
1611
BibRef
Wang, L.[Lei],
Zhao, X.[Xu],
Liu, Y.C.[Yun-Cai],
Adaptive appearance learning for human pose estimation,
ICIP15(1125-1129)
IEEE DOI
1512
BibRef
Singh, S.[Saurabh],
Hoiem, D.[Derek],
Forsyth, D.A.[David A.],
Learning a sequential search for landmarks,
CVPR15(3422-3430)
IEEE DOI
1510
humans or birds.
BibRef
Tompson, J.[Jonathan],
Goroshin, R.[Ross],
Jain, A.[Arjun],
Le Cun, Y.L.[Yann L.],
Bregler, C.[Christoph],
Efficient object localization using Convolutional Networks,
CVPR15(648-656)
IEEE DOI
1510
BibRef
Fan, X.C.[Xiao-Chuan],
Zheng, K.[Kang],
Lin, Y.W.[Yue-Wei],
Wang, S.[Song],
Combining local appearance and holistic view:
Dual-Source Deep Neural Networks for human pose estimation,
CVPR15(1347-1355)
IEEE DOI
1510
BibRef
Lehrmann, A.M.[Andreas M.],
Gehler, P.V.[Peter V.],
Nowozin, S.[Sebastian],
A Non-parametric Bayesian Network Prior of Human Pose,
ICCV13(1281-1288)
IEEE DOI
1403
Bayesian network
BibRef
Joo, J.[Jungseock],
Wang, S.[Shuo],
Zhu, S.C.[Song-Chun],
Human Attribute Recognition by Rich Appearance Dictionary,
ICCV13(721-728)
IEEE DOI
1403
Fine-grained Recognition; Human Attribute; Weakly-Supervised Learning
BibRef
Gong, W.J.[Wen-Juan],
Brauer, J.[Jurgen],
Arens, M.[Michael],
Gonzalez, J.[Jordi],
Modeling vs. learning approaches for monocular 3D human pose estimation,
PEAction11(1287-1294).
IEEE DOI
1201
BibRef
And: A2, A1, A4, A3:
On the effect of temporal information on monocular 3d human pose
estimation,
ARTEMIS11(906-913).
IEEE DOI
1201
See also Voting Strategies for Anatomical Landmark Localization Using the Implicit Shape Model.
BibRef
Hur, D.C.[Dong-Cheol],
Wallraven, C.[Christian],
Lee, S.W.[Seong-Whan],
View Invariant Body Pose Estimation Based on Biased Manifold Learning,
ICPR10(3866-3869).
IEEE DOI
1008
BibRef
Guo, W.W.[Wei-Wei],
Patras, I.[Ioannis],
Learning Output-kernel-dependent Regression for Human Pose Estimation,
BMVCWS10(xx-yy).
HTML Version.
1009
BibRef
Earlier:
Discriminative 3D human pose estimation from monocular images via
topological preserving hierarchical affinity clustering,
S3DV09(9-15).
IEEE DOI
0910
BibRef
Navaratnam, R.[Ramanan],
Fitzgibbon, A.W.[Andrew W.],
Semi-supervised Learning of Joint Density Models for Human Pose
Estimation,
BMVC06(II:79).
PDF File.
0609
BibRef
Hua, G.[Gang],
Yang, M.H.[Ming-Hsuan],
Wu, Y.[Ying],
Learning to Estimate Human Pose with Data Driven Belief Propagation,
CVPR05(II: 747-754).
IEEE DOI
0507
BibRef
Nakajima, C.,
Posture recognition of nuclear power plant operators by supervised
learning,
ICIP04(II: 877-880).
IEEE DOI
0505
BibRef
Shakhnarovich, G.[Gregory],
Viola, P.A.[Paul A.],
Darrell, T.J.[Trevor J.],
Fast Pose Estimation with Parameter-Sensitive Hashing,
ICCV03(750-757).
IEEE DOI
0311
BibRef
And:
MIT AIMAIM-2003-009, April 18, 2003.
WWW Link. learns a set of hashing functions that efficiently index examples relevant
to a particular estimation task.
0306
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Human Posture, or Human Pose, Transformers, ViT .