21.4 Gesture and Pose Analysis

21.4.1 Human Posture, or Human Pose, Human Body Pose

VGG Pose Datasets,
2013 Dataset, Human Pose.
HTML Version. A collection of several human pose datasets, BBC Pose, YouTube Pose, ChaLearn Pose.

Extended BBC Pose Dataset,
2013 Dataset, Human Pose.
WWW Link. Original BBC Pose plus more. 92 Videos.

FLIC: Frames Labelled in Cinema,
2013 Dataset, Human Pose.
HTML Version.
See also MODEC: Multimodal Decomposable Models for Human Pose Estimation.

Lee, H.J., Chen, Z.,
Determination of 3D Human Body Postures from a Single View,
CVGIP(30), No. 2, May 1985, pp. 148-168.
Elsevier DOI BibRef 8505

Barrón, C.[Carlos], Kakadiaris, I.A.[Ioannis A.],
On the Improvement of Anthropometry and Pose Estimation from a Single Uncalibrated Image,
MVA(14), No. 4, September 2003, pp. 229-236.
Springer DOI 0309
BibRef
Earlier:
The Improvement of Anthropomery and Pose Estimation from a Single Uncalibrated Image,
HUMO00(53-60).
IEEE Top Reference. 0010

See also Model-Based Estimation of 3D Human Motion. BibRef

Barrón, C.[Carlos], Kakadiaris, I.A.[Ioannis A.],
Estimating Anthropometry and Pose from a Single Uncalibrated Image,
CVIU(81), No. 3, March 2001, pp. 269-284.
DOI Link 0001
BibRef
Earlier:
Estimating Anthropometry and Pose from a Single Image,
CVPR00(I: 669-676).
IEEE DOI 0005

See also Model-Based Estimation of 3D Human Motion. BibRef

Bruckstein, A.M.[Alfred M.], Holt, R.J.[Robert J.], Jean, Y.D.[Yves D.], Netravali, A.N.[Arun N.],
On the use of shadows in stance recovery,
IJIST(11), No. 5, 2000, pp. 315-330.
WWW Link. 0110
BibRef

Dimitrijevic, M., Lepetit, V., Fua, P.,
Human body pose detection using Bayesian spatio-temporal templates,
CVIU(103), No. 2-3, November-December 2006, pp. 127-139.
Elsevier DOI 0611
Body pose detection; Spatio-temporal templates; Template matching; Chamfer matching BibRef

Kohli, P.[Pushmeet], Rihan, J.[Jonathan], Bray, M.[Matthieu], Torr, P.H.S.[Philip H. S.],
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts,
IJCV(79), No. 3, September 2008, pp. xx-yy.
Springer DOI 0806
BibRef
Earlier: A3, A1, A4, Only:
PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts,
ECCV06(II: 642-655).
Springer DOI 0608
BibRef

Rahman, M.M.[M. Masudur], Ishikawa, S.[Seiji],
Human Posture Recognition: Eigenspace Tuning By A Mean Eigenspace,
IJIG(5), No. 4, October 2005, pp. 825-837. 0510
BibRef

Scherff, P.C.[Phillip-Christoph], Baciu, G.[George], Hu, J.L.[Jin-Lian],
Intuitive Parameterized Input Interface For Proportional Reshaping Of Human Bodies,
IJIG(8), No. 2, April 2008, pp. 299-325. 0804
BibRef

Yan, J., Shen, S., Li, Y., Liu, Y.,
An Optimization Based Framework for Human Pose Estimation,
SPLetters(17), No. 8, August 2010, pp. 766-769.
IEEE DOI 1007
BibRef

Kuo, P.[Paul], Makris, D.[Dimitrios], Nebel, J.C.[Jean-Christophe],
Integration of bottom-up/top-down approaches for 2D pose estimation using probabilistic Gaussian modelling,
CVIU(115), No. 2, February 2011, pp. 242-255.
Elsevier DOI 1102
Human body pose estimation; Stochastic clustering; Gaussian mixture modelling; Pattern classification; Object recognition; Confidence measure; Ground truth BibRef

Lewandowski, M.[Michal], Makris, D.[Dimitrios], Nebel, J.C.[Jean-Christophe],
Automatic configuration of spectral dimensionality reduction methods for 3D human pose estimation,
VS09(1314-1321).
IEEE DOI 0910
BibRef

Kuo, P.[Paul], Makris, D.[Dimitrios], Megherbi, N.[Najla], Nebel, J.C.[Jean-Christophe],
Integration of Local Image Cues for Probabilistic 2D Pose Recovery,
ISVC08(II: 214-223).
Springer DOI 0812
Fit 2-D human body model. BibRef

Xie, F., Xu, G., Cheng, Y., Tian, Y.,
Human body and posture recognition system based on an improved thinning algorithm,
IET-IPR(5), No. 5, 2011, pp. 420-428.
DOI Link 1108
BibRef

Chen, S.S.[Shou-Shun], Akselrod, P.[Polina], Zhao, B.[Bo], Perez-Carrasco, J.A.[Jose Antonio], Linares-Barranco, B.[Bernabe], Culurciello, E.[Eugenio],
Efficient Feedforward Categorization of Objects and Human Postures with Address-Event Image Sensors,
PAMI(34), No. 2, February 2012, pp. 302-314.
IEEE DOI 1112
Line feature models.
See also NeuFlow: A runtime reconfigurable dataflow processor for vision. BibRef

Tian, Y.[Yan], Sigal, L.[Leonid], de la Torre, F.[Fernando], Jia, Y.H.[Yong-Hua],
Canonical locality preserving Latent Variable Model for discriminative pose inference,
IVC(31), No. 3, March 2013, pp. 223-230.
Elsevier DOI 1303
Human pose estimation; Gaussian Mixture Regression; Latent Variable Model; Discriminative Model BibRef

Tian, Y.[Yan], Jia, Y.H.[Yong-Hua], Shi, Y.[Yuan], Liu, Y.[Yong], Ji, H.[Hao], Sigal, L.[Leonid],
Inferring 3D body pose using variational semi-parametric regression,
ICIP11(29-32).
IEEE DOI 1201
BibRef

Fergie, M.[Martin], Galata, A.[Aphrodite],
Mixtures of Gaussian process models for human pose estimation,
IVC(31), No. 12, 2013, pp. 949-957.
Elsevier DOI 1312
BibRef
Earlier:
Dynamical Pose Filtering for Mixtures of Gaussian Processes,
BMVC12(7).
DOI Link 1301
BibRef
Earlier:
Local Gaussian Processes for Pose Recognition from Noisy Inputs,
BMVC10(xx-yy).
HTML Version. 1009
Computer vision BibRef

Yamada, M.[Makoto], Sigal, L.[Leonid], Raptis, M.[Michalis],
Covariate Shift Adaptation for Discriminative 3D Pose Estimation,
PAMI(36), No. 2, February 2014, pp. 235-247.
IEEE DOI 1402
BibRef
Earlier:
No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation,
ECCV12(IV: 674-687).
Springer DOI 1210
Gaussian processes BibRef

Babagholami-Mohamadabadi, B., Jourabloo, A., Zarghami, A., Kasaei, S.,
A Bayesian Framework for Sparse Representation-Based 3-D Human Pose Estimation,
SPLetters(21), No. 3, March 2014, pp. 297-300.
IEEE DOI 1403
Bayes methods BibRef

Ionescu, C.[Catalin], Papava, D., Olaru, V., Sminchisescu, C.[Cristian],
Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments,
PAMI(36), No. 7, July 2014, pp. 1325-1339.
IEEE DOI
PDF File. 1407
Cameras
See also Human3.6M. BibRef

Ionescu, C.[Catalin], Li, F.X.[Fu-Xin], Sminchisescu, C.[Cristian],
Latent structured models for human pose estimation,
ICCV11(2220-2227).
IEEE DOI
PDF File. 1201

See also Structural SVM for visual localization and continuous state estimation.
See also Human3.6M. BibRef

Cho, E.[Eunji], Kim, D.J.[Dai-Jin],
Accurate Human Pose Estimation by Aggregating Multiple Pose Hypotheses Using Modified Kernel Density Approximation,
SPLetters(22), No. 4, April 2015, pp. 445-449.
IEEE DOI 1411
pose estimation BibRef

Pons-Moll, G.[Gerard], Taylor, J.[Jonathan], Shotton, J.D.J.[Jamie D.J.], Hertzmann, A.[Aaron], Fitzgibbon, A.W.[Andrew W.],
Metric Regression Forests for Correspondence Estimation,
IJCV(113), No. 3, July 2015, pp. 163-175.
Springer DOI 1506
BibRef
Earlier:
Metric Regression Forests for Human Pose Estimation,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Taylor, J.[Jonathan], Shotton, J.D.J.[Jamie D.J.], Sharp, T.[Toby], Fitzgibbon, A.W.[Andrew W.],
The Vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation,
CVPR12(103-110).
IEEE DOI 1208
BibRef

Hong, C.Q.[Chao-Qun], Yu, J.[Jun], Wan, J.[Jian], Tao, D.C.[Da-Cheng], Wang, M.[Meng],
Multimodal Deep Autoencoder for Human Pose Recovery,
IP(24), No. 12, December 2015, pp. 5659-5670.
IEEE DOI 1512
backpropagation BibRef

Tashiro, K.[Kazuhiro], Kawamura, T.[Takahiro], Sei, Y.[Yuichi], Nakagawa, H.[Hiroyuki], Tahara, Y.[Yasuyuki], Ohsuga, A.[Akihiko],
Iterative Improvement of Human Pose Classification Using Guide Ontology,
IEICE(E99-D), No. 1, January 2016, pp. 236-247.
WWW Link. 1601
BibRef

Hernández-Vela, A.[Antonio], Sclaroff, S.[Stan], Escalera, S.[Sergio],
Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures,
IJCV(118), No. 1, June 2016, pp. 49-64.
Springer DOI 1605
BibRef
Earlier: A1, A3, A2:
Contextual Rescoring for Human Pose Estimation,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Kang, X.[Xin], Yau, W.P.[Wai-Pan], Taylor, R.H.[Russell H.],
Simultaneous pose estimation and patient-specific model reconstruction from single image using maximum penalized likelihood estimation (MPLE),
PR(57), No. 1, 2016, pp. 61-69.
Elsevier DOI 1605
Pose estimation BibRef

Liu, H.L.[Hong-Lin], Kong, D.H.[De-Hui], Wang, S.F.[Shao-Fan], Yin, B.C.[Bao-Cai],
Sparse Pose Regression via Componentwise Clustering Feature Point Representation,
MultMed(18), No. 7, July 2016, pp. 1233-1244.
IEEE DOI 1608
feature extraction. 2D pose of human body from range image. BibRef

Pishchulin, L.[Leonid], Wuhrer, S.[Stefanie], Helten, T.[Thomas], Theobalt, C.[Christian], Schiele, B.[Bernt],
Building statistical shape spaces for 3D human modeling,
PR(67), No. 1, 2017, pp. 276-286.
Elsevier DOI 1704
Statistical human body model BibRef

Sarafianos, N.[Nikolaos], Boteanu, B.[Bogdan], Ionescu, B.[Bogdan], Kakadiaris, I.A.[Ioannis A.],
3D Human pose estimation: A review of the literature and analysis of covariates,
CVIU(152), No. 1, 2016, pp. 1-20.
Elsevier DOI 1609
Survey, Human Pose. 3D Human pose estimation BibRef

Wu, Y., Lu, T., Yuan, Z., Wang, H.,
FreeScup: A Novel Platform for Assisting Sculpture Pose Design,
MultMed(19), No. 1, January 2017, pp. 183-195.
IEEE DOI 1612
Image reconstruction BibRef

Cho, J.C.[Jung-Chan], Lee, M.[Minsik], Oh, S.H.[Song-Hwai],
Single image 3D human pose estimation using a procrustean normal distribution mixture model and model transformation,
CVIU(155), No. 1, 2017, pp. 150-161.
Elsevier DOI 1702
Human pose estimation BibRef

Hara, K.[Kota], Chellappa, R.[Rama],
Growing Regression Tree Forests by Classification for Continuous Object Pose Estimation,
IJCV(122), No. 2, April 2017, pp. 292-312.
Springer DOI 1704
BibRef
Earlier:
Growing Regression Forests by Classification: Applications to Object Pose Estimation,
ECCV14(II: 552-567).
Springer DOI 1408
BibRef
Earlier:
Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation,
CVPR13(3390-3397)
IEEE DOI 1309
Human Pose Estimation; Regression BibRef

Atrevi, D.F.[Dieudonné Fabrice], Vivet, D.[Damien], Duculty, F.[Florent], Emile, B.[Bruno],
A very simple framework for 3D human poses estimation using a single 2D image: Comparison of geometric moments descriptors,
PR(71), No. 1, 2017, pp. 389-401.
Elsevier DOI 1707
3D, Pose, estimation BibRef

Safi, K.[Khaled], Mohammed, S.[Samer], Albertsen, I.M.[Inke Marie], Delechelle, E.[Eric], Amirat, Y.[Yacine], Khalil, M.[Mohamad], Gracies, J.M.[Jean-Michel], Hutin, E.[Emilie],
Automatic analysis of human posture equilibrium using empirical mode decomposition,
SIViP(11), No. 6, September 2017, pp. 1081-1088.
Springer DOI 1708
BibRef

Zhang, S., McCullagh, P., Zheng, H., Nugent, C.,
Situation Awareness Inferred From Posture Transition and Location: Derived From Smartphone and Smart home Sensors,
HMS(47), No. 6, December 2017, pp. 814-821.
IEEE DOI 1712
Accelerometers, Assisted living, Body sensor networks, Context awareness, Radiofrequency identification, Smart homes, wearable computers BibRef

Petrov, I.[Ilia], Shakhuro, V.[Vlad], Konushin, A.[Anton],
Deep probabilistic human pose estimation,
IET-CV(12), No. 5, August 2018, pp. 578-585.
DOI Link 1807
BibRef

Dong, L., Chen, X., Wang, R., Zhang, Q., Izquierdo, E.[Ebroul],
ADORE: An Adaptive Holons Representation Framework for Human Pose Estimation,
CirSysVideo(28), No. 10, October 2018, pp. 2803-2813.
IEEE DOI 1811
Pose estimation, Detectors, Adaptation models, Training, Computational modeling, Image color analysis, Pose estimation, adaptivity BibRef

Iqbal, U.[Umar], Doering, A.[Andreas], Yasin, H.[Hashim], Krüger, B.[Björn], Weber, A.[Andreas], Gall, J.[Juergen],
A dual-source approach for 3D human pose estimation from single images,
CVIU(172), 2018, pp. 37-49.
Elsevier DOI 1812
BibRef
Earlier: A2, A1, A4, A5, A6, Only:
A Dual-Source Approach for 3D Pose Estimation from a Single Image,
CVPR16(4948-4956)
IEEE DOI 1612
3D human pose estimation, Motion capture, 3D reconstruction, Articulated pose estimation BibRef

Liang, S.[Shuang], Sun, X.[Xiao], Wei, Y.C.[Yi-Chen],
Compositional Human Pose Regression,
CVIU(176-177), 2018, pp. 1-8.
Elsevier DOI 1812
BibRef

Sun, X.[Xiao], Xiao, B.[Bin], Wei, F.Y.[Fang-Yin], Liang, S.[Shuang], Wei, Y.C.[Yi-Chen],
Integral Human Pose Regression,
ECCV18(VI: 536-553).
Springer DOI 1810
BibRef

Yang, J.J.[Jing-Jing], Wan, L.[Lili], Xu, W.[Wanru], Wang, S.H.[Sheng-Hui],
3D human pose estimation from a single image via exemplar augmentation,
JVCIR(59), 2019, pp. 371-379.
Elsevier DOI 1903
Human pose estimation, Human pose recovery, Exemplar-based, Pose retrieval, Pose synthesis, Monocular BibRef

Gilbert, A.[Andrew], Trumble, M.[Matthew], Hilton, A.[Adrian], Collomosse, J.P.[John P.],
Fusing Visual and Inertial Sensors with Semantics for 3D Human Pose Estimation,
IJCV(127), No. 4, April 2019, pp. 381-397.
Springer DOI 1903
BibRef

Zhang, X.Y.[Xiao-Yan], Tang, Z.H.[Zhen-Hua], Hou, J.H.[Jun-Hui], Hao, Y.B.[Yan-Bin],
3D human pose estimation via human structure-aware fully connected network,
PRL(125), 2019, pp. 404-410.
Elsevier DOI 1909
3D human pose estimation, Human structure, Fully connected network BibRef

Miki, D.[Daisuke], Abe, S.[Shinya], Chen, S.[Shi], Demachi, K.[Kazuyuki],
Robust human pose estimation from distorted wide-angle images through iterative search of transformation parameters,
SIViP(14), No. 4, June 2020, pp. 693-700.
WWW Link. 2005
BibRef

Zhao, C.C.[Chen-Chen], Qian, Y.Q.[Ye-Qiang], Yang, M.[Ming],
Monocular pedestrian orientation estimation based on deep 2D-3D feedforward,
PR(100), 2020, pp. 107182.
Elsevier DOI 2005
Information feedforward, Logic relationship, Monocular vision, Orientation estimation BibRef

Park, S.[Soonchan], Lee, S.B.[Sang-Baek], Park, J.[Jinah],
Data augmentation method for improving the accuracy of human pose estimation with cropped images,
PRL(136), 2020, pp. 244-250.
Elsevier DOI 2008
Data augmentation, Human pose estimation, Keypoint detection BibRef

Karanam, S.[Srikrishna], Li, R.[Ren], Yang, F.[Fan], Hu, W.[Wei], Chen, T.[Terrence], Wu, Z.Y.[Zi-Yan],
Towards Contactless Patient Positioning,
MedImg(39), No. 8, August 2020, pp. 2701-2710.
IEEE DOI 2008
Body pose, to enable automatic positioning. Cameras, Hospitals, Calibration, Computed tomography, Biomedical imaging, Telemedicine, Covid-19, shape BibRef

Ludl, D., Gulde, T., Curio, C.,
Enhancing Data-Driven Algorithms for Human Pose Estimation and Action Recognition Through Simulation,
ITS(21), No. 9, September 2020, pp. 3990-3999.
IEEE DOI 2008
Data models, Solid modeling, Databases, Computational modeling, Pose estimation, Training data, Simulation, autonomous vehicles BibRef

Wei, G.Q.[Guo-Qiang], Lan, C.L.[Cui-Ling], Zeng, W.J.[Wen-Jun], Chen, Z.B.[Zhi-Bo],
View Invariant 3D Human Pose Estimation,
CirSysVideo(30), No. 12, December 2020, pp. 4601-4610.
IEEE DOI 2012
Pose estimation, Robustness, Training, Data models, correction BibRef

Zhang, Z.[Zhe], Wang, C.Y.[Chun-Yu], Qiu, W.C.[Wei-Chao], Qin, W.H.[Wen-Hu], Zeng, W.J.[Wen-Jun],
AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild,
IJCV(129), No. 3, March 2021, pp. 703-718.
Springer DOI 2103
BibRef

Marsocci, V.[Valerio], Lastilla, L.[Lorenzo],
POSE-ID-on: A Novel Framework for Artwork Pose Clustering,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
Pose in art (painting and sculpture) and comparisons. BibRef

Wu, X.[Xian], Li, C.[Chen], Hu, S.M.[Shi-Min], Tai, Y.W.[Yu-Wing],
Hierarchical Generation of Human Pose With Part-Based Layer Representation,
IP(30), 2021, pp. 7856-7866.
IEEE DOI 2109
Semantics, Generators, Solid modeling, Task analysis, Shape, Fuses, Human pose transfer, coarse-to-fine generation BibRef

Desmarais, Y.[Yann], Mottet, D.[Denis], Slangen, P.[Pierre], Montesinos, P.[Philippe],
A review of 3D human pose estimation algorithms for markerless motion capture,
CVIU(212), 2021, pp. 103275.
Elsevier DOI 2110
Survey, Human Pose. 3D human pose estimation, Convolutional neural networks, Survey BibRef

Ci, H.[Hai], Ma, X.X.[Xiao-Xuan], Wang, C.Y.[Chun-Yu], Wang, Y.Z.[Yi-Zhou],
Locally Connected Network for Monocular 3D Human Pose Estimation,
PAMI(44), No. 3, March 2022, pp. 1429-1442.
IEEE DOI 2202
Pose estimation, Feature extraction, Solid modeling, Training, Task analysis, 3D human pose estimation, graph convolution BibRef

Wang, C.[Chen], Zhang, F.[Feng], Zhu, X.T.[Xia-Tian], Ge, S.S.[Shuzhi Sam],
Low-resolution human pose estimation,
PR(126), 2022, pp. 108579.
Elsevier DOI 2204
Human pose estimation, Low resolution image, Heatmap learning, Offset learning, Quantization error BibRef

Wang, D.[Dong], Xie, W.J.[Wen-Jun], Cai, Y.C.[You-Cheng], Liu, X.P.[Xiao-Ping],
A Fast and Effective Transformer for Human Pose Estimation,
SPLetters(29), 2022, pp. 992-996.
IEEE DOI 2205
Feature extraction, Transformers, Finite element analysis, Pose estimation, Field effect transistors, computational resources BibRef

Bai, G.[Guihu], Luo, Y.M.[Yan-Min], Pan, X.L.[Xue-Liang], Wang, Y.J.[You-Jie], Wang, J.[Jia], Guo, J.M.[Jing-Ming],
Double chain networks for monocular 3D human pose estimation,
IVC(123), 2022, pp. 104452.
Elsevier DOI 2206
3D human pose estimation, Global constraint, Local constraint, Equipotential-joints BibRef

Gao, F.[Fei], Li, H.[Hua], Fei, J.[Jiyou], Huang, Y.J.[Yang-Jie], Liu, L.[Long],
Segmentation-Based Background-Inference and Small-Person Pose Estimation,
SPLetters(29), 2022, pp. 1584-1588.
IEEE DOI 2208
Pose estimation, Semantics, Convolution, Neural networks, Image segmentation, Training, Deep learning, Pose estimation, small-person BibRef

Yang, S.Q.[Sen-Quan], Wen, J.J.[Jia-Jun], Fan, J.J.[Jun-Jun],
Ghost shuffle lightweight pose network with effective feature representation and learning for human pose estimation,
IET-CV(16), No. 6, 2022, pp. 525-540.
DOI Link 2208
ghost shuffle lightweight module, human pose estimation, lightweight pose parallel attention BibRef

Han, C.C.[Chu-Chu], Yu, X.[Xin], Gao, C.X.[Chang-Xin], Sang, N.[Nong], Yang, Y.[Yi],
Single image based 3D human pose estimation via uncertainty learning,
PR(132), 2022, pp. 108934.
Elsevier DOI 2209
Uncertainty, 3D pose estimation, Graph convolutional network BibRef

Yu, X.[Xin], van Baar, J.[Jeroen], Chen, S.H.[Si-Heng],
Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer Graph,
3DV21(505-514)
IEEE DOI 2201
Convolutional codes, Shape, Pose estimation, Skeleton, Multi scale GCN, 3D body reconstruction, 3D pose prediction BibRef

Lorenzini, M.[Marta], Kim, W.[Wansoo], Ajoudani, A.[Arash],
An Online Multi-Index Approach to Human Ergonomics Assessment in the Workplace,
HMS(52), No. 5, October 2022, pp. 812-823.
IEEE DOI 2209
Indexes, Ergonomics, Task analysis, Torque, Kinematics, Monitoring, Dynamics, Ergonomic assessment, human modeling, kinematics and dynamics monitoring BibRef

Xie, C.Y.[Chun-Yang], Zhang, D.H.[Dong-Heng], Hu, Y.[Yang], Chen, Y.[Yan],
Hierarchical Dynamic Programming Module for Human Pose Refinement,
CirSysVideo(32), No. 9, September 2022, pp. 6214-6226.
IEEE DOI 2209
Pose estimation, Videos, Heating systems, Feature extraction, Task analysis, Convolutional neural networks, deep learning BibRef

Liu, K.[Kang], Chen, L.L.[Ling-Ling], Xie, L.[Liang], Yin, J.[Jian], Gan, S.[Shuwei], Yan, Y.[Ye], Yin, E.[Erwei],
Auto calibration of multi-camera system for human pose estimation,
IET-CV(16), No. 7, 2022, pp. 607-618.
DOI Link 2210
BibRef

Chen, L.L.[Ling-Ling], Gong, Z.[Zhuo], Li, L.F.[Li-Feng], Yin, J.[Jian],
Multi-View Auto-Calibration Method Based on Human Pose Estimation,
ICRVC22(75-79)
IEEE DOI 2301
Costs, Robot kinematics, Robot vision systems, Pose estimation, Cameras, Calibration, multi-view, auto-calibration, least square method BibRef

Fisch, M.[Martin], Clark, R.[Ronald],
Orientation Keypoints for 6D Human Pose Estimation,
PAMI(44), No. 12, December 2022, pp. 10145-10158.
IEEE DOI 2212
Pose estimation, Joints, Bones, Kinematics, Solid modeling, Training, pose tracking, 6D estimation BibRef

Liu, W.[Wu], Bao, Q.[Qian], Sun, Y.[Yu], Mei, T.[Tao],
Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective,
Surveys(55), No. 4, April 2023, pp. xx-yy.
DOI Link 2212
Survey, Human Pose. Human pose estimation, 2D and 3D pose, deep learning, monocular images BibRef

Yao, Y.[Yuan], Bala, P.[Praneet], Mohan, A.[Abhiraj], Bliss-Moreau, E.[Eliza], Coleman, K.[Kristine], Freeman, S.M.[Sienna M.], Machado, C.J.[Christopher J.], Raper, J.[Jessica], Zimmermann, J.[Jan], Hayden, B.Y.[Benjamin Y.], Park, H.S.[Hyun Soo],
OpenMonkeyChallenge: Dataset and Benchmark Challenges for Pose Estimation of Non-human Primates,
IJCV(131), No. 1, January 2023, pp. 243-258.
Springer DOI 2301
BibRef

Gong, F.M.[Fa-Ming], Li, Y.J.[Yun-Jing], Yuan, X.B.[Xiang-Bing], Liu, X.[Xin], Gao, Y.T.[Ya-Ting],
Human elbow flexion behaviour recognition based on posture estimation in complex scenes,
IET-IPR(17), No. 1, 2023, pp. 178-192.
DOI Link 2301
BibRef

Zhang, Q.C.[Qin-Chuan], Jiang, Y.[Yi], Zhou, Q.[Qin], Zhao, Y.[Yiru], Liu, Y.[Yao], Lu, H.T.[Hong-Tao], Hua, X.S.[Xian-Sheng],
Single Person Dense Pose Estimation via Geometric Equivariance Consistency,
MultMed(25), 2023, pp. 572-583.
IEEE DOI 2302
Pose estimation, Training, Biological system modeling, Annotations, Task analysis, Solid modeling, Dense human pose estimation, representation learning BibRef

Xu, L.M.[Lu-Min], Jin, S.[Sheng], Liu, W.T.[Wen-Tao], Qian, C.[Chen], Ouyang, W.L.[Wan-Li], Luo, P.[Ping], Wang, X.G.[Xiao-Gang],
ZoomNAS: Searching for Whole-Body Human Pose Estimation in the Wild,
PAMI(45), No. 4, April 2023, pp. 5296-5313.
IEEE DOI 2303
Pose estimation, Location awareness, Neural networks, Solid modeling, Task analysis, Whole-body human pose estimation, in-the-wild dataset BibRef

Jin, S.[Sheng], Xu, L.M.[Lu-Min], Xu, J.[Jin], Wang, C.[Can], Liu, W.T.[Wen-Tao], Qian, C.[Chen], Ouyang, W.L.[Wan-Li], Luo, P.[Ping],
Whole-body Human Pose Estimation in the Wild,
ECCV20(IX:196-214).
Springer DOI 2011
BibRef

Wang, X.H.[Xuan-Han], Guo, Y.[Yuyu], Song, J.[Jingkuan], Gao, L.[Lianli], Shen, H.T.[Heng Tao],
AMANet: Adaptive Multi-Path Aggregation for Learning Human 2D-3D Correspondences,
MultMed(25), 2023, pp. 979-992.
IEEE DOI 2303
Task analysis, Annotations, Feature extraction, Adaptive systems, Visualization, Pose estimation, 2D-to-3D surface estimation, limited supervision BibRef

Huang, X.F.[Xiao-Fei], Fu, N.[Nihang], Liu, S.[Shuangjun], Ostadabbas, S.[Sarah],
Invariant Representation Learning for Infant Pose Estimation with Small Data,
FG21(1-8)
IEEE DOI 2303
Representation learning, Training, Adaptation models, Pose estimation, Transfer learning, Data models, Hybrid power systems BibRef

Ren, Z.Y.[Zhi-Yuan], Zhou, Y.[Yaohai], Chen, Y.Z.[Yi-Zhe], Zhou, R.[Ruisong], Gao, Y.[Yayu],
Efficient Human Pose Estimation by Maximizing Fusion and High-Level Spatial Attention,
FG21(01-06)
IEEE DOI 2303
Codes, Face recognition, Pose estimation, Buildings, Gesture recognition, Feature extraction BibRef

Dhingra, N.[Naina],
HeadPosr: End-to-end Trainable Head Pose Estimation using Transformer Encoders,
FG21(1-8)
IEEE DOI 2303
Connectors, Head, Face recognition, Pose estimation, Gesture recognition, Benchmark testing BibRef

Yamazaki, M.[Masayuki], Mori, E.[Eigo],
Rethinking Deconvolution for 2D Human Pose Estimation Light yet Accurate Model for Real-time Edge Computing,
FG21(1-5)
IEEE DOI 2303
Training, Deconvolution, Quantization (signal), Computational modeling, Pose estimation, Predictive models, Real-time systems BibRef

Kuhnke, F.[Felix], Ihler, S.[Sontje], Ostermann, J.[Jörn],
Relative Pose Consistency for Semi-Supervised Head Pose Estimation,
FG21(01-08)
IEEE DOI 2303
Training, Solid modeling, Head, Face recognition, Pose estimation, Training data BibRef

Fang, L.[Lin], Wang, S.F.[Shang-Fei],
Human Pose Estimation with Shape Aware Loss,
FG23(1-8)
IEEE DOI 2303
Heating systems, Location awareness, Visualization, Shape, Pose estimation, Mean square error methods, Gesture recognition BibRef

Ma, R.F.[Rong-Fei], Xu, W.X.[Wen-Xia], Yu, B.C.[Bao-Cheng], Zhang, M.[Min], Wu, J.[Jing], Zhu, H.[Huizhi],
CART Decision Tree Based Human State Estimation Algorithm and Research,
ICRVC22(68-74)
IEEE DOI 2301
Training, Support vector machines, Biological system modeling, Robot sensing systems, Feature extraction, Reflection, posture detection BibRef

Hedlin, E.[Eric], Rhodin, H.[Helge], Yi, K.M.[Kwang Moo],
A Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint Regressor for the Human3.6m Dataset,
CRV22(1-7)
IEEE DOI 2301
Codes, Pose estimation, Robots, joint regressor, pseudo-ground-truth, silhouette, human body model BibRef

Zou, J.[Jiayu], Qin, J.[Jie], Zhang, Z.[Zhen], Wang, X.G.[Xin-Gang],
MITPose: Multi-Granularity Feature Interaction for Human Pose Estimation,
ICIVC22(300-306)
IEEE DOI 2301
Location awareness, Heating systems, Visualization, Image color analysis, Convolution, Pose estimation, Transformers, inductive locality BibRef

Gao, W.[Wei], Qiu, F.[Feng], Zhang, H.[Huanhuan],
A Denoising Method of Human Pose Estimation Based on Reconstruction from Keyframes,
ICIVC22(542-548)
IEEE DOI 2301
Interpolation, Noise reduction, Pose estimation, Neural networks, Jitter, Bones, Human Pose Estimation, Denoise, Key frame, Squad interpolation BibRef

Zhang, B.[Bowei], Cui, P.[Peng],
End-to-end 3D Human Pose Estimation with Transformer,
ICPR22(4529-4536)
IEEE DOI 2212
Solid modeling, Runtime, Pose estimation, Predictive models, Transformers BibRef

Chao, W.T.[Wen-Tao], Duan, F.Q.[Fu-Qing], Du, P.[Peng], Zhu, W.N.[Wan-Ning], Jia, T.Y.[Tian-Yuan], Li, D.Q.[De-Qi],
DEKRV2: More Accurate or Fast than DEKR,
ICIP22(1451-1455)
IEEE DOI 2211
Location awareness, Adaptation models, Codes, Convolution, Pose estimation, Benchmark testing, Feature extraction, Group convolution
See also Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression. BibRef

Su, J.J.[Jia-Jun], Wang, C.Y.[Chun-Yu], Ma, X.X.[Xiao-Xuan], Zeng, W.J.[Wen-Jun], Wang, Y.Z.[Yi-Zhou],
VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data,
ECCV22(VI:55-71).
Springer DOI 2211
BibRef

Mao, W.[Weian], Ge, Y.T.[Yong-Tao], Shen, C.H.[Chun-Hua], Tian, Z.[Zhi], Wang, X.L.[Xin-Long], Wang, Z.B.[Zhi-Bin], van den Hengel, A.J.[Anton J.],
Poseur: Direct Human Pose Regression with Transformers,
ECCV22(VI:72-88).
Springer DOI 2211
BibRef

Li, Y.[Yanjie], Yang, S.[Sen], Liu, P.[Peidong], Zhang, S.[Shoukui], Wang, Y.[Yunxiao], Wang, Z.C.[Zhi-Cheng], Yang, W.K.[Wan-Kou], Xia, S.T.[Shu-Tao],
SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation,
ECCV22(VI:89-106).
Springer DOI 2211
BibRef

Wang, H.X.[Hai-Xin], Zhou, L.[Lu], Chen, Y.Y.[Ying-Ying], Tang, M.[Ming], Wang, J.Q.[Jin-Qiao],
Regularizing Vector Embedding in Bottom-Up Human Pose Estimation,
ECCV22(VI:107-122).
Springer DOI 2211
BibRef

Guo, J.X.[Jia-Xin], Zhong, F.X.[Fang-Xun], Xiong, R.[Rong], Liu, Y.[Yunhui], Wang, Y.[Yue], Liao, Y.[Yiyi],
A Visual Navigation Perspective for Category-Level Object Pose Estimation,
ECCV22(VI:123-141).
Springer DOI 2211
BibRef

Delmas, G.[Ginger], Weinzaepfel, P.[Philippe], Lucas, T.[Thomas], Moreno-Noguer, F.[Francesc], Rogez, G.[Grégory],
PoseScript: 3D Human Poses from Natural Language,
ECCV22(VI:346-362).
Springer DOI 2211
BibRef

Chen, Y.X.[Yu-Xiao], Zhao, L.[Long], Yuan, J.B.[Jian-Bo], Tian, Y.[Yu], Xia, Z.Y.[Zhao-Yang], Geng, S.J.[Shi-Jie], Han, L.[Ligong], Metaxas, D.N.[Dimitris N.],
Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning,
ECCV22(XXVI:185-202).
Springer DOI 2211
BibRef

Kan, Z.[Zhehan], Chen, S.[Shuoshuo], Li, Z.[Zeng], He, Z.H.[Zhi-Hai],
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation,
ECCV22(V:729-745).
Springer DOI 2211
BibRef

Zeng, A.[Ailing], Yang, L.[Lei], Ju, X.[Xuan], Li, J.F.[Jie-Feng], Wang, J.Y.[Jian-Yi], Xu, Q.[Qiang],
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos,
ECCV22(V:625-642).
Springer DOI 2211
BibRef

Jiang, W.T.[Wen-Tao], Jin, S.[Sheng], Liu, W.T.[Wen-Tao], Qian, C.[Chen], Luo, P.[Ping], Liu, S.[Si],
PoseTrans: A Simple yet Effective Pose Transformation Augmentation for Human Pose Estimation,
ECCV22(V:643-659).
Springer DOI 2211
BibRef

Li, Z.H.[Zhi-Hao], Liu, J.Z.[Jian-Zhuang], Zhang, Z.S.[Zhen-Song], Xu, S.[Songcen], Yan, Y.L.[You-Liang],
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation,
ECCV22(V:590-606).
Springer DOI 2211
BibRef

Wu, C.[Cunlin], Xiao, Y.[Yang], Zhang, B.[Boshen], Zhang, M.Y.[Ming-Yang], Cao, Z.G.[Zhi-Guo], Zhou, J.T.Y.[Joey Tian-Yi],
C3P: Cross-Domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation,
ECCV22(V:554-571).
Springer DOI 2211
BibRef

Zhang, L.J.[Li-Jun], Shao, X.[Xiaohu], Li, Z.H.[Zheng-Hao], Zhou, X.D.[Xiang-Dong], Shi, Y.[Yu],
Spatio-Temporal Attention Graph for Monocular 3d Human Pose Estimation,
ICIP22(1231-1235)
IEEE DOI 2211
Semantics, Pose estimation, Benchmark testing, Feature extraction, Monocular 3D human pose estimation, spatio-temporal graph, attention mechanism BibRef

Zhao, W.X.[Wei-Xi], Wang, W.Q.[Wei-Qiang], Tian, Y.J.[Yun-Jie],
GraFormer: Graph-oriented Transformer for 3D Pose Estimation,
CVPR22(20406-20415)
IEEE DOI 2210
Solid modeling, Fuses, Convolution, Computational modeling, Pose estimation, Stacking, Face and gestures, 3D from single images BibRef

Davydov, A.[Andrey], Remizova, A.[Anastasia], Constantin, V.[Victor], Honari, S.[Sina], Salzmann, M.[Mathieu], Fua, P.[Pascal],
Adversarial Parametric Pose Prior,
CVPR22(10987-10995)
IEEE DOI 2210
Training, Representation learning, Deep learning, Tracking, Shape, Pose estimation, Pose estimation and tracking, Representation learning BibRef

Gärtner, E.[Erik], Andriluka, M.[Mykhaylo], Xu, H.Y.[Hong-Yi], Sminchisescu, C.[Cristian],
Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video,
CVPR22(13096-13105)
IEEE DOI 2210
Shape, Computational modeling, Pose estimation, Dynamics, Kinematics, Task analysis, Pose estimation and tracking, 3D from single images BibRef

Zhan, Y.[Yu], Li, F.[Fenghai], Weng, R.L.[Ren-Liang], Choi, W.[Wongun],
Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization,
CVPR22(13106-13115)
IEEE DOI 2210
Location awareness, Solid modeling, Systematics, Image analysis, Pose estimation, Pose estimation and tracking, Video analysis and understanding BibRef

Wang, Y.[Yihan], Li, M.[Muyang], Cai, H.[Han], Chen, W.M.[Wei-Ming], Han, S.[Song],
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation,
CVPR22(13116-13126)
IEEE DOI 2210
Codes, Computational modeling, Pose estimation, Computer architecture, Real-time systems, Robustness, Machine learning BibRef

Xu, X.X.[Xi-Xia], Gao, Y.G.[Ying-Guo], Yan, K.[Ke], Lin, X.[Xue], Zou, Q.[Qi],
Location-Free Human Pose Estimation,
CVPR22(13127-13136)
IEEE DOI 2210
Location awareness, Computational modeling, Pose estimation, Training data, Prototypes, Focusing, Pose estimation and tracking, Self- semi- meta- unsupervised learning BibRef

Li, W.H.[Wen-Hao], Liu, H.[Hong], Tang, H.[Hao], Wang, P.[Pichao], Van Gool, L.J.[Luc J.],
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation,
CVPR22(13137-13146)
IEEE DOI 2210
Solid modeling, Codes, Inverse problems, Pose estimation, Transformers, Pose estimation and tracking, Video analysis and understanding BibRef

Wang, J.[Jian], Liu, L.J.[Ling-Jie], Xu, W.P.[Wei-Peng], Sarkar, K.[Kripasindhu], Luvizon, D.[Diogo], Theobalt, C.[Christian],
Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision,
CVPR22(13147-13156)
IEEE DOI 2210
Training, Pose estimation, Optimization methods, Cameras, Feature extraction, Pose estimation and tracking, 3D from single images BibRef

Gholami, M.[Mohsen], Wandt, B.[Bastian], Rhodin, H.[Helge], Ward, R.[Rabab], Wang, Z.J.[Z. Jane],
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation,
CVPR22(13065-13075)
IEEE DOI 2210
Training, Solid modeling, Target tracking, Pose estimation, Training data, Semisupervised learning, 3D from single images BibRef

Gong, J.[Jia], Fan, Z.P.[Zhi-Peng], Ke, Q.[Qiuhong], Rahmani, H.[Hossein], Liu, J.[Jun],
Meta Agent Teaming Active Learning for Pose Estimation,
CVPR22(11069-11079)
IEEE DOI 2210
Annotations, Computational modeling, Accelerated aging, Pose estimation, Markov processes, Benchmark testing, Pose estimation and tracking BibRef

Sun, Y.[Yu], Liu, W.[Wu], Bao, Q.[Qian], Fu, Y.[Yili], Mei, T.[Tao], Black, M.J.[Michael J.],
Putting People in their Place: Monocular Regression of 3D People in Depth,
CVPR22(13233-13242)
IEEE DOI 2210
Training, Solid modeling, Image resolution, Shape, Pose estimation, Pose estimation and tracking BibRef

Liu, Z.G.[Zhen-Guang], Feng, R.Y.[Run-Yang], Chen, H.M.[Hao-Ming], Wu, S.[Shuang], Gao, Y.X.[Yi-Xing], Gao, Y.J.[Yun-Jun], Wang, X.[Xiang],
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation,
CVPR22(10996-11006)
IEEE DOI 2210
Visualization, Pose estimation, Benchmark testing, Feature extraction, Pattern recognition, Task analysis, Pose estimation and tracking BibRef

Bartol, K.[Kristijan], Bojanic, D.[David], Petkovic, T.[Tomislav],
Generalizable Human Pose Triangulation,
CVPR22(11018-11027)
IEEE DOI 2210
Training, Computational modeling, Pose estimation, Stochastic processes, Training data, Deep learning architectures and techniques BibRef

Khirodkar, R.[Rawal], Chari, V.[Visesh], Agrawal, A.[Amit], Tyagi, A.[Ambrish],
Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation,
ICCV21(3102-3111)
IEEE DOI 2203
Art, Pose estimation, Modulation, Detection and localization in 2D and 3D, Machine learning architectures and formulations BibRef

Sanyal, S.[Soubhik], Mohler, B.[Betty], Vorobiov, A.[Alex], Davis, L.[Larry], Bolkart, T.[Timo], Romero, J.[Javier], Loper, M.[Matthew], Black, M.J.[Michael J.],
Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency,
ICCV21(11118-11127)
IEEE DOI 2203
Training, Solid modeling, Shape, Social networking (online), Training data, SPICE, Gestures and body pose, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Gu, K.[Kerui], Yang, L.L.[Lin-Lin], Yao, A.[Angela],
Removing the Bias of Integral Pose Regression,
ICCV21(11047-11056)
IEEE DOI 2203
Heating systems, Pose estimation, Benchmark testing, Gestures and body pose, BibRef

Xie, R.C.[Rong-Chang], Wang, C.Y.[Chun-Yu], Zeng, W.J.[Wen-Jun], Wang, Y.Z.[Yi-Zhou],
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation,
ICCV21(11220-11229)
IEEE DOI 2203
Systematics, Codes, Computational modeling, Pose estimation, Education, Semisupervised learning, Gestures and body pose, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Li, J.F.[Jie-Feng], Bian, S.Y.[Si-Yuan], Zeng, A.[Ailing], Wang, C.[Can], Pang, B.[Bo], Liu, W.T.[Wen-Tao], Lu, C.[Cewu],
Human Pose Regression with Residual Log-likelihood Estimation,
ICCV21(11005-11014)
IEEE DOI 2203
Heating systems, Training, Maximum likelihood estimation, Codes, Design methodology, Pose estimation, Gestures and body pose, Detection and localization in 2D and 3D BibRef

Yu, Z.[Zhenbo], Ni, B.B.[Bing-Bing], Xu, J.W.[Jing-Wei], Wang, J.J.[Jun-Jie], Zhao, C.L.[Cheng-Long], Zhang, W.J.[Wen-Jun],
Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation,
ICCV21(8631-8631)
IEEE DOI 2203
Training, Solid modeling, Art, Annotations, Computational modeling, Transfer/Low-shot/Semi/Unsupervised Learning, Adversarial learning BibRef

Wandt, B.[Bastian], Little, J.J.[James J.], Rhodin, H.[Helge],
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses,
CVPR22(6625-6635)
IEEE DOI 2210
Training, Annotations, Pose estimation, Supervised learning, Training data, Cameras, Pose estimation and tracking, Self- semi- meta- unsupervised learning BibRef

Wehrbein, T.[Tom], Rudolph, M.[Marco], Rosenhahn, B.[Bodo], Wandt, B.[Bastian],
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows,
ICCV21(11179-11188)
IEEE DOI 2203
Measurement, Training, Heating systems, Uncertainty, Inverse problems, Gestures and body pose, Vision applications and systems BibRef

Chen, S.H.[Shu-Hong], Zwicker, M.[Matthias],
Transfer Learning for Pose Estimation of Illustrated Characters,
WACV22(1638-1647)
IEEE DOI 2202
Bridges, Image segmentation, Codes, Tracking, Pose estimation, Transfer learning, Transfer, Few-shot, Image/Video Indexing and Retrieval BibRef

Cormier, M.[Mickael], Clepe, A.[Aris], Specker, A.[Andreas], Beyerer, J.[Jürgen],
Where are we with Human Pose Estimation in Real-World Surveillance?,
RWSurvil22(591-601)
IEEE DOI 2202
Privacy, Surveillance, Visual analytics, Pose estimation, Pipelines, Semisupervised learning, Skeleton BibRef

Ludwig, K.[Katja], Harzig, P.[Philipp], Lienhart, R.[Rainer],
Detecting Arbitrary Intermediate Keypoints for Human Pose Estimation with Vision Transformers,
WinterSports22(663-671)
IEEE DOI 2202
Training, Visualization, Computational modeling, Conferences, Pose estimation, Computer architecture BibRef

Verma, N.[Nitika], Boukhayma, A.[Adnane], Boyer, E.[Edmond], Verbeek, J.[Jakob],
Dual Mesh Convolutional Networks for Human Shape Correspondence,
3DV21(289-298)
IEEE DOI 2201
Training, Shape, Network topology, Semantics, Data structures, Robustness BibRef

Zhao, D.X.[Dong-Xu], Wei, Z.[Zhen], Mahmud, J.[Jisan], Frahm, J.M.[Jan-Michael],
EgoGlass: Egocentric-View Human Pose Estimation From an Eyeglass Frame,
3DV21(32-41)
IEEE DOI 2201
Image segmentation, Pose estimation, Cameras, egocentric, human pose estimation BibRef

Liang, Y.C.[Yu-Chen], Liu, Y.H.[Yue-Hu],
Adaptive Frequency Hopping Policy for Fast Pose Estimation,
ICIP21(324-328)
IEEE DOI 2201
Training, Time-frequency analysis, Solid modeling, Torque, Tracking, Image processing, 3D human pose estimation, robotics simulation BibRef

Ansarian, A.[Amin], Amer, M.A.[Maria A.],
Realistic Augmentation for Effective 2d Human Pose Estimation Under Occlusion,
ICIP21(919-923)
IEEE DOI 2201
Training, Image processing, Pose estimation, Task analysis, Human Pose Estimation, Data Augmentation, Occlusion, Deep Learning BibRef

Ivan, V.A.[Victor-Andrei], Mistreanu, I.[Ionut], Leica, A.[Andrei], Yoon, S.J.[Sung-Jun], Cheon, M.[Manri], Lee, J.[Junwoo], Oh, J.[Jinsoo],
Improving Key Human Features for Pose Transfer,
AIM21(1963-1972)
IEEE DOI 2112
Annotations, Computational modeling, Task analysis, Faces BibRef

Rong, Y.[Yu], Shiratori, T.[Takaaki], Joo, H.[Hanbyul],
FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration,
ACVR21(1749-1759)
IEEE DOI 2112
Wrist, Pose estimation, Benchmark testing, Assistive technologies BibRef

Garau, N.[Nicola], Martinelli, G.[Giulia], Bródka, P.[Piotr], Bisagno, N.[Niccolò], Conci, N.[Nicola],
PanopTOP: a framework for generating viewpoint-invariant human pose estimation datasets,
DSC21(234-242)
IEEE DOI 2112
Training, Manifolds, Codes, Pose estimation BibRef

Parsaeifard, B.[Behnam], Saadatnejad, S.[Saeed], Liu, Y.[Yuejiang], Mordan, T.[Taylor], Alahi, A.[Alexandre],
Learning Decoupled Representations for Human Pose Forecasting,
SoMoF21(2294-2303)
IEEE DOI 2112
Legged locomotion, Uncertainty, Computational modeling, Predictive models, Trajectory BibRef

Li, Z.[Zhe], Yu, T.[Tao], Zheng, Z.[Zerong], Guo, K.[Kaiwen], Liu, Y.B.[Ye-Bin],
POSEFusion: Pose-guided Selective Fusion for Single-view Human Volumetric Capture,
CVPR21(14157-14167)
IEEE DOI 2111
Surface reconstruction, Cameras, Pattern recognition, Dynamic programming BibRef

Gong, K.[Kehong], Zhang, J.F.[Jian-Feng], Feng, J.S.[Jia-Shi],
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation,
CVPR21(8571-8580)
IEEE DOI 2111
Training, Geometry, Solid modeling, Estimation error, Pose estimation, Training data BibRef

Geng, Z.[Zigang], Sun, K.[Ke], Xiao, B.[Bin], Zhang, Z.X.[Zhao-Xiang], Wang, J.D.[Jing-Dong],
Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression,
CVPR21(14671-14681)
IEEE DOI 2111
DEKR: Disentangled Keypoint Regression Convolutional codes, Location awareness, Pose estimation, Focusing, Object detection, Benchmark testing BibRef

Wandt, B.[Bastian], Rudolph, M.[Marco], Zell, P.[Petrissa], Rhodin, H.[Helge], Rosenhahn, B.[Bodo],
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild,
CVPR21(13289-13299)
IEEE DOI 2111
Training, Annotations, Pose estimation, Training data, Benchmark testing BibRef

Luo, Z.X.[Zheng-Xiong], Wang, Z.C.[Zhi-Cheng], Huang, Y.[Yan], Wang, L.[Liang], Tan, T.N.[Tie-Niu], Zhou, E.[Erjin],
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation,
CVPR21(13259-13268)
IEEE DOI 2111
Heating systems, Codes, Computational modeling, Pose estimation, Pattern recognition, Labeling BibRef

Zhao, L.[Long], Wang, Y.X.[Yu-Xiao], Zhao, J.[Jiaping], Yuan, L.Z.[Liang-Zhe], Sun, J.J.[Jennifer J.], Schroff, F.[Florian], Adam, H.[Hartwig], Peng, X.[Xi], Metaxas, D.N.[Dimitris N.], Liu, T.[Ting],
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization,
CVPR21(12788-12797)
IEEE DOI 2111
Codes, Training data, Benchmark testing, Data models, Pattern recognition, Task analysis BibRef

Wang, J.H.[Jia-Hang], Jin, S.[Sheng], Liu, W.T.[Wen-Tao], Liu, W.Z.[Wei-Zhong], Qian, C.[Chen], Luo, P.[Ping],
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks,
CVPR21(11850-11859)
IEEE DOI 2111
Image quality, Computational modeling, Pose estimation, Neural networks, Benchmark testing, Robustness BibRef

Lin, K.[Kevin], Wang, L.J.[Li-Juan], Liu, Z.C.[Zi-Cheng],
End-to-End Human Pose and Mesh Reconstruction with Transformers,
CVPR21(1954-1963)
IEEE DOI 2111
Solid modeling, Shape, Transformers, Topology, Pattern recognition BibRef

Choi, S.[Sangbum], Choi, S.[Seokeon], Kim, C.[Changick],
MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices,
MAI21(2328-2338)
IEEE DOI 2109
Performance evaluation, Solid modeling, Computational modeling, Real-time systems BibRef

Jiang, T.[Tao], Camgöz, N.C.[Necati Cihan], Bowden, R.[Richard],
Skeletor: Skeletal Transformers for Robust Body-Pose Estimation,
ChaLearn21(3389-3397)
IEEE DOI 2109
Training, Tracking, Assistive technology, Pose estimation, Neural networks, Gesture recognition BibRef

Neumann, L.[Lukáš], Vedaldi, A.[Andrea],
Tiny People Pose,
ACCV18(III:558-574).
Springer DOI 1906
BibRef

Moreira, G.[Gabriel], Marques, M.[Manuel], Costeira, J.P.[João Paulo],
Fast Pose Graph Optimization via Krylov-Schur and Cholesky Factorization,
WACV21(1897-1905)
IEEE DOI 2106
Maximum likelihood estimation, Visualization, Scalability, Motion estimation, Iterative methods, Optimization BibRef

Zhang, Y.H.[Ya-Hui], You, S.[Shaodi], Gevers, T.[Theo],
Automatic Calibration of the Fisheye Camera for Egocentric 3D Human Pose Estimation from a Single Image,
WACV21(1771-1780)
IEEE DOI 2106
Pose estimation, Cameras, Distortion, Calibration BibRef

Chu, G.[Gang], Xie, C.[Chi], Liang, S.[Shuang],
Automatic Pose Quality Assessment for Adaptive Human Pose Refinement,
MMMod21(I:641-652).
Springer DOI 2106
BibRef

Pytel, R.[Rafal], Kayhan, O.S.[Osman Semih], van Gemert, J.C.[Jan C.],
Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions,
ICPR21(10568-10575)
IEEE DOI 2105
Code, Human Pose.
WWW Link. Occlusions degrade performance. Pose estimation BibRef

Hou, L.X.[Luan-Xuan], Cao, J.[Jie], Zhao, Y.[Yuan], Shen, H.F.[Hai-Feng], Tang, J.[Jian], He, R.[Ran],
P^2 Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation,
ICPR21(9658-9665)
IEEE DOI 2105
Training, Pose estimation, Semantics, Refining, Feature extraction, Search problems BibRef

Kurihara, K.[Kohei], Wang, T.R.[Tian-Ren], Zhang, T.[Teng], Lovell, B.C.[Brian C.],
Boundary guided image translation for pose estimation from ultra-low resolution thermal sensor,
ICPR21(9-15)
IEEE DOI 2105
Image sensors, Privacy, Image resolution, Pose estimation, Thermal sensors, Pattern recognition, Labeling BibRef

Einfalt, M.[Moritz], Ludwig, K.[Katja], Lienhart, R.[Rainer],
Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers,
WACV23(2902-2912)
IEEE DOI 2302
Solid modeling, Pose estimation, Transformers, Throughput, Motion capture, Real-time systems BibRef

Klug, N., Einfalt, M., Brehm, S., Lienhart, R.,
Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation,
3DV20(898-907)
IEEE DOI 2102
Solid modeling, Image reconstruction, Cameras, Pose estimation, projection models BibRef

Wang, C., Lin, C.H., Lucey, S.,
Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild,
3DV20(12-22)
IEEE DOI 2102
Shape, Cameras, Data models, Dictionaries, Strain, Body Pose Estimation BibRef

Rockwell, C.[Chris], Fouhey, D.F.[David F.],
Full-body Awareness from Partial Observations,
ECCV20(XVII:522-539).
Springer DOI 2011
Mesh recovery. BibRef

Zhang, Y.X.[Yue-Xi], Wang, Y.[Yin], Camps, O.I.[Octavia I.], Sznaier, M.[Mario],
Key Frame Proposal Network for Efficient Pose Estimation in Videos,
ECCV20(XVII:609-625).
Springer DOI 2011
BibRef

Zhou, K.[Keyang], Bhatnagar, B.L.[Bharat Lal], Pons-Moll, G.[Gerard],
Unsupervised Shape and Pose Disentanglement for 3d Meshes,
ECCV20(XXII:341-357).
Springer DOI 2011
Code, Pose Estimation.
WWW Link. BibRef

Zeng, A.[Ailing], Sun, X.[Xiao], Huang, F.Y.[Fu-Yang], Liu, M.[Minhao], Xu, Q.A.[Qi-Ang], Lin, S.[Stephen],
Srnet: Improving Generalization in 3d Human Pose Estimation with a Split-and-recombine Approach,
ECCV20(XIV:507-523).
Springer DOI 2011
BibRef

Bin, Y.R.[Yan-Rui], Cao, X.[Xuan], Chen, X.[Xinya], Ge, Y.H.[Yan-Hao], Tai, Y.[Ying], Wang, C.J.[Cheng-Jie], Li, J.L.[Ji-Lin], Huang, F.Y.[Fei-Yue], Gao, C.X.[Chang-Xin], Sang, N.[Nong],
Adversarial Semantic Data Augmentation for Human Pose Estimation,
ECCV20(XIX:606-622).
Springer DOI 2011
BibRef

Dorkenwald, M., Büchler, U., Ommer, B.,
Unsupervised Magnification of Posture Deviations Across Subjects,
CVPR20(8253-8263)
IEEE DOI 2008
Image reconstruction, Encoding, Training, Image coding, Image color analysis, Decoding BibRef

Huang, J., Zhu, Z., Guo, F., Huang, G.,
The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation,
CVPR20(5699-5708)
IEEE DOI 2008
Pose estimation, Data processing, Standards, Heating systems, Training, Size measurement, Task analysis BibRef

Li, S., Ke, L., Pratama, K., Tai, Y., Tang, C., Cheng, K.,
Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data,
CVPR20(6172-6182)
IEEE DOI 2008
Training data, Bones, Pose estimation, Training BibRef

Isogawa, M.[Mariko], Chan, D.[Dorian], Yuan, Y.[Ye], Kitani, K.M.[Kris M.], O'Toole, M.[Matthew],
Efficient Non-line-of-sight Imaging from Transient Sinograms,
ECCV20(VII:193-208).
Springer DOI 2011
pulsed laser and scattering.
WWW Link. BibRef

Isogawa, M.[Mariko], Yuan, Y.[Ye], O'Toole, M.[Matthew], Kitani, K.M.[Kris M.],
Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation,
CVPR20(7011-7020)
IEEE DOI 2008
Transient analysis, Nonlinear optics, Imaging, Pose estimation, Humanoid robots, Feature extraction BibRef

Zhang, F., Zhu, X., Dai, H., Ye, M., Zhu, C.,
Distribution-Aware Coordinate Representation for Human Pose Estimation,
CVPR20(7091-7100)
IEEE DOI 2008
Pose estimation, Standards, Decoding, Space heating, Image resolution, Encoding BibRef

Xie, R., Wang, C., Wang, Y.,
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation,
CVPR20(13683-13692)
IEEE DOI 2008
Cameras, Adaptation models, Pose estimation, Task analysis, Heating systems BibRef

Varamesh, A.[Ali], Tuytelaars, T.[Tinne],
Mix'em: Unsupervised Image Classification Using a Mixture of Embeddings,
ACCV20(III:38-55).
Springer DOI 2103
BibRef

Varamesh, A.[Ali], Tuytelaars, T.[Tinne],
Mixture Dense Regression for Object Detection and Human Pose Estimation,
CVPR20(13083-13092)
IEEE DOI 2008
Pose estimation, Object detection, Mixture models, Task analysis, Predictive models BibRef

Verma, M., Kumawat, S., Nakashima, Y., Raman, S.,
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses,
VUHCS20(4472-4479)
IEEE DOI 2008
Dataset, Homan Pose. Legged locomotion, Wheels, Pose estimation, Visualization, Skeleton, Image resolution BibRef

Knoche, M., Sárándi, I., Leibe, B.,
Reposing Humans by Warping 3D Features,
VUHCS20(4499-4504)
IEEE DOI 2008
Decoding, Heating systems, Task analysis, Solid modeling, Measurement BibRef

Kundu, J.N.[Jogendra Nath], Rahul, M.V., Patravali, J., Babu, R.V.[R. Venkatesh],
Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion,
WACV20(458-467)
IEEE DOI 2006
Pose estimation, Probabilistic logic, Cameras, Skeleton, Uncertainty BibRef

Venkat, A., Patel, C., Agrawal, Y., Sharma, A.,
HumanMeshNet: Polygonal Mesh Recovery of Humans,
3D-Wild19(2178-2187)
IEEE DOI 2004
computational geometry, image reconstruction, image representation, image resolution, SMPL BibRef

Hassan, M., Choutas, V., Tzionas, D., Black, M.,
Resolving 3D Human Pose Ambiguities With 3D Scene Constraints,
ICCV19(2282-2292)
IEEE DOI 2004
Code, Human Pose.
WWW Link. image motion analysis, image reconstruction, image sequences, pose estimation, 3D human pose ambiguities, scene constraints, BibRef

Lin, J.H.[Jia-Hao], Lee, G.H.[Gim Hee],
Hdnet: Human Depth Estimation for Multi-person Camera-space Localization,
ECCV20(XVIII:633-648).
Springer DOI 2012
BibRef

Li, C.[Chen], Lee, G.H.[Gim Hee],
Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network,
CVPR19(9879-9887).
IEEE DOI 2002
BibRef

Chen, X.P.[Xi-Peng], Lin, K.Y.[Kwan-Yee], Liu, W.T.[Wen-Tao], Qian, C.[Chen], Lin, L.[Liang],
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation,
CVPR19(10887-10896).
IEEE DOI 2002
BibRef

Habibie, I.[Ikhsanul], Xu, W.P.[Wei-Peng], Mehta, D.[Dushyant], Pons-Moll, G.[Gerard], Theobalt, C.[Christian],
In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations,
CVPR19(10897-10906).
IEEE DOI 2002
BibRef

Kreiss, S.[Sven], Bertoni, L.[Lorenzo], Alahi, A.[Alexandre],
PifPaf: Composite Fields for Human Pose Estimation,
CVPR19(11969-11978).
IEEE DOI 2002
BibRef

Arnab, A.[Anurag], Doersch, C.[Carl], Zisserman, A.[Andrew],
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild,
CVPR19(3390-3399).
IEEE DOI 2002
BibRef

Zhang, F.[Feng], Zhu, X.T.[Xia-Tian], Ye, M.[Mao],
Fast Human Pose Estimation,
CVPR19(3512-3521).
IEEE DOI 2002
BibRef

Li, Y.N.[Yi-Ning], Huang, C.[Chen], Loy, C.C.[Chen Change],
Dense Intrinsic Appearance Flow for Human Pose Transfer,
CVPR19(3688-3697).
IEEE DOI 2002
BibRef

Moon, G.[Gyeongsik], Chang, J.Y.[Ju Yong], Lee, K.M.[Kyoung Mu],
PoseFix: Model-Agnostic General Human Pose Refinement Network,
CVPR19(7765-7773).
IEEE DOI 2002
BibRef

Wandt, B.[Bastian], Rosenhahn, B.[Bodo],
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation,
CVPR19(7774-7783).
IEEE DOI 2002
BibRef

Knyaz, V.A., Maksimov, A.A., Novikov, M.M.,
Vision Based Automated Anthropological Measurements and Analysis,
PTVSBB19(117-122).
DOI Link 1912
BibRef

Zhuang, W.L.[Wen-Lin], Peng, C.[Cong], Xia, S.[Siyu], Wang, Y.G.[Yan-Gang],
Multi-scale Adaptive Structure Network for Human Pose Estimation from Color Images,
ACCV18(I:643-658).
Springer DOI 1906
BibRef

Yoshiyasu, Y.[Yusuke], Sagawa, R.[Ryusuke], Ayusawa, K.[Ko], Murai, A.[Akihiko],
Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image,
ACCV18(IV:485-500).
Springer DOI 1906
BibRef

Pelka, O.[Obioma], Nensa, F.[Felix], Friedrich, C.M.[Christoph M.],
Optimizing Body Region Classification with Deep Convolutional Activation Features,
WiCV-E18(IV:699-704).
Springer DOI 1905
BibRef

Sayed, M.R., Sim, T., Lim, J., Ma, K.T.,
Which Body Is Mine?,
WACV19(829-838)
IEEE DOI 1904
anthropometry, convolutional neural nets, correlation methods, image matching, pose estimation, Image recognition BibRef

Nibali, A., He, Z., Morgan, S., Prendergast, L.,
3D Human Pose Estimation With 2D Marginal Heatmaps,
WACV19(1477-1485)
IEEE DOI 1904
image colour analysis, inference mechanisms, neural nets, pose estimation, statistical analysis, stereo image processing, Solid modeling BibRef

Saint, A., Ahmed, E., Shabayek, A.E.R., Cherenkova, K., Gusev, G., Aouada, D., Ottersten, B.,
3DBodyTex: Textured 3D Body Dataset,
3DV18(495-504)
IEEE DOI 1812
image resolution, image texture, solid modelling, textured 3D body dataset, static 3D body scans, 3D body scans BibRef

Güler, R.A., Neverova, N., Kokkinos, I.,
DensePose: Dense Human Pose Estimation in the Wild,
CVPR18(7297-7306)
IEEE DOI 1812
Pose estimation, Task analysis, Solid modeling, Training, Pipelines, Deformable models BibRef

Pavlakos, G., Zhou, X., Daniilidis, K.,
Ordinal Depth Supervision for 3D Human Pose Estimation,
CVPR18(7307-7316)
IEEE DOI 1812
Training, Image reconstruction, Pose estimation, Hip, Benchmark testing BibRef

Chen, Q., Zhang, C., Liu, W., Wang, D.,
SHPD: Surveillance Human Pose Dataset and Performance Evaluation for Coarse-Grained Pose Estimation,
ICIP18(4088-4092)
IEEE DOI 1809
Surveillance, Pose estimation, Cameras, Lighting, Benchmark testing, Task analysis, Performance evaluation, pose estimation, global-pose BibRef

Friemert, D.[Daniel], Saala, F.[Florian], Hartmann, U.[Ulrich], Ellegast, R.[Rolf],
Similarities and Differences in Posture During Simulated Order Picking in Real Life and Virtual Reality,
DHM18(41-53).
Springer DOI 1807
BibRef

McLaughlin, N.[Niall], Martinez del Rincon, J.[Jesus],
Refining the Pose: Training and Use of Deep Recurrent Autoencoders for Improving Human Pose Estimation,
AMDO18(11-23).
Springer DOI 1807
BibRef

Tekin, B., Sinha, S.N., Fua, P.,
Real-Time Seamless Single Shot 6D Object Pose Prediction,
CVPR18(292-301)
IEEE DOI 1812
Pose estimation, Solid modeling, Task analysis, Computer architecture BibRef

Sciortino, G.[Giuseppa], Farinella, G.M.[Giovanni Maria], Battiato, S.[Sebastiano], Leo, M.[Marco], Distante, C.[Cosimo],
On the Estimation of Children's Poses,
CIAP17(II:410-421).
Springer DOI 1711
BibRef

Tome, D.[Denis], Russell, C.[Chris], Agapito, L.[Lourdes],
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image,
CVPR17(5689-5698)
IEEE DOI 1711
Single RGB image. Data models, Pose estimation, Predictive models, Probabilistic logic, Solid modeling BibRef

Popa, A.I., Zanfir, M., Sminchisescu, C.,
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing,
CVPR17(4714-4723)
IEEE DOI 1711
Biological system modeling, Pose estimation, Semantics, Solid modeling, Training, Two, dimensional, displays BibRef

Ismail, H., Radwan, I., Suominen, H., Waddington, G., Goecke, R.,
Human Postural Sway Estimation from Noisy Observations,
FG17(454-461)
IEEE DOI 1707
Cameras, Feature extraction, Foot, Force, Legged locomotion, Tracking BibRef

Belagiannis, V., Zisserman, A.,
Recurrent Human Pose Estimation,
FG17(468-475)
IEEE DOI 1707
Context, Context modeling, Convolution, Detectors, Heating systems, Predictive models, Training BibRef

Farrajota, M., Rodrigues, J.M.F.[João M.F.], du Buf, J.M.H.[J.M. Hans],
Human Pose Estimation by a Series of Residual Auto-Encoders,
IbPRIA17(131-139).
Springer DOI 1706
BibRef

Sarafianos, N., Nikou, C., Kakadiaris, I.A.,
Predicting privileged information for height estimation,
ICPR16(3115-3120)
IEEE DOI 1705
Biometrics (access control), Estimation, Length measurement, Prediction algorithms, Predictive models, Support vector machines, Training BibRef

Ni, S.C.[Shou-Cheng], Liu, W.W.[Wei-Wei], Cheng, H.[Hao], Zhang, C.Y.[Chong-Yang],
Visually Similar K-poselets Based Human Pose Recognition,
BEST16(III: 426-440).
Springer DOI 1704
BibRef

Chen, W., Wang, H., Li, Y., Su, H., Wang, Z., Tu, C., Lischinski, D., Cohen-Or, D., Chen, B.,
Synthesizing Training Images for Boosting Human 3D Pose Estimation,
3DV16(479-488)
IEEE DOI 1701
convolution BibRef

Lifshitz, I.[Ita], Fetaya, E.[Ethan], Ullman, S.[Shimon],
Human Pose Estimation Using Deep Consensus Voting,
ECCV16(II: 246-260).
Springer DOI 1611
BibRef

Jung, H.Y.[Ho Yub], Suh, Y.M.[Yu-Min], Moon, G.[Gyeongsik], Lee, K.M.[Kyoung Mu],
A Sequential Approach to 3D Human Pose Estimation: Separation of Localization and Identification of Body Joints,
ECCV16(V: 747-761).
Springer DOI 1611
BibRef

Newell, A.[Alejandro], Yang, K.[Kaiyu], Deng, J.[Jia],
Stacked Hourglass Networks for Human Pose Estimation,
ECCV16(VIII: 483-499).
Springer DOI 1611
BibRef

Guo, C., Ruan, S., Liang, X.,
A strong bilayer appearance model for human pose estimation from a high freedom still image,
ICIP16(1284-1288)
IEEE DOI 1610
Benchmark testing BibRef

Liu, H.[Hong], Ma, L.Q.[Li-Qian],
Online person orientation estimation based on classifier update,
ICIP15(1568-1572)
IEEE DOI 1512
Multi-class classification BibRef

Jung, H.Y.[Ho Yub], Lee, S.[Soochahn], Heo, Y.S.[Yong Seok], Yun, I.D.[Il Dong],
Random tree walk toward instantaneous 3D human pose estimation,
CVPR15(2467-2474)
IEEE DOI 1510
BibRef

Akhter, I.[Ijaz], Black, M.J.[Michael J.],
Pose-conditioned joint angle limits for 3D human pose reconstruction,
CVPR15(1446-1455)
IEEE DOI 1510
BibRef

Zakharov, A.A., Barinov, A.E., Zhiznyakov, A.L.,
Recognition of Human Pose from Images Based on Graph Spectra,
PTVSBB15(9-12).
DOI Link 1508
BibRef

Shen, W.[Wei], Lei, R.[Rui], Zeng, D.[Dan], Zhang, Z.J.[Zhi-Jiang],
Regularity Guaranteed Human Pose Correction,
ACCV14(II: 242-256).
Springer DOI 1504
BibRef

Tsatsoulis, P.D.[P. Daphne], Forsyth, D.A.[David A.],
Easy Minimax Estimation with Random Forests for Human Pose Estimation,
ChaLearn14(669-684).
Springer DOI 1504
BibRef

Heili, A.[Alexandre], Varadarajan, J.[Jagannadan], Ghanem, B.[Bernard], Ahuja, N.[Narendra], Odobez, J.M.[Jean-Marc],
Improving head and body pose estimation through semi-supervised manifold alignment,
ICIP14(1912-1916)
IEEE DOI 1502
Couplings BibRef

Khalid, A.R.[Abdul Rafay], Hassan, A.[Ali], Taj, M.[Murtaza],
Efficient 2D human pose estimation using mean-shift,
ICIP14(3387-3391)
IEEE DOI 1502
Estimation BibRef

Xia, D.X.[Dao-Xun], Su, S.Z.[Song-Zhi], Li, S.Z.[Shao-Zi], Jodoin, P.M.[Pierre-Marc],
Lying-pose detection with training dataset expansion,
ICIP14(3377-3381)
IEEE DOI 1502
Cameras BibRef

Zerrouki, N., Houacine, A.,
Automatic Classification of Human Body Postures Based on Curvelet Transform,
ICIAR14(I: 329-337).
Springer DOI 1410
BibRef

Ionescu, C.[Catalin], Carreira, J.[Joao], Sminchisescu, C.[Cristian],
Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation,
CVPR14(1661-1668)
IEEE DOI 1409
BibRef

Wang, C.Y.[Chun-Yu], Wang, Y.Z.[Yi-Zhou], Lin, Z.C.[Zhou-Chen], Yuille, A.L.[Alan L.], Gao, W.[Wen],
Robust Estimation of 3D Human Poses from a Single Image,
CVPR14(2369-2376)
IEEE DOI 1409
3D human pose estimation BibRef

Fan, X.C.[Xiao-Chuan], Zheng, K.[Kang], Zhou, Y.J.[You-Jie], Wang, S.[Song],
Pose Locality Constrained Representation for 3D Human Pose Reconstruction,
ECCV14(I: 174-188).
Springer DOI 1408
BibRef

Andriluka, M.[Mykhaylo], Pishchulin, L.[Leonid], Gehler, P.[Peter], Schiele, B.[Bernt],
2D Human Pose Estimation: New Benchmark and State of the Art Analysis,
CVPR14(3686-3693)
IEEE DOI 1409
BibRef
Earlier: A2, A1, A3, A4:
Strong Appearance and Expressive Spatial Models for Human Pose Estimation,
ICCV13(3487-3494)
IEEE DOI 1403
human pose estimation; performance evaluation BibRef

Radwan, I.[Ibrahim], Dhall, A.[Abhinav], Goecke, R.[Roland],
Monocular Image 3D Human Pose Estimation under Self-Occlusion,
ICCV13(1888-1895)
IEEE DOI 1403
3D pose reconstruction; pose estimation; self-occlusion BibRef

Burgos-Artizzu, X.[Xavier], Hall, D.[David], Perona, P.[Pietro], Dollar, P.[Piotr],
Merging Pose Estimates Across Space and Time,
BMVC13(xx-yy).
DOI Link 1402
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Chen, Y.P.[Yin-Peng], Liu, Z.C.[Zi-Cheng], Zhang, Z.Y.[Zheng-You],
Tensor-Based Human Body Modeling,
CVPR13(105-112)
IEEE DOI 1309
Human Body Modeling; Tensor Decomposition BibRef

Wang, F.[Fang], Li, Y.[Yi],
Beyond Physical Connections: Tree Models in Human Pose Estimation,
CVPR13(596-603)
IEEE DOI 1309
graphical model; human pose estimation; object recognition BibRef

Marcos-Ramiro, A., Pizarro-Perez, D., Marron-Romera, M., Nguyen, L., Gatica-Perez, D.[Daniel],
Body communicative cue extraction for conversational analysis,
FG13(1-8)
IEEE DOI 1309
feature extraction. Non-verbal communication. Gestures, etc. BibRef

Nodari, A.[Angelo], Vanetti, M.[Marco], Gallo, I.[Ignazio],
Visual Attribute Extraction Using Human Pose Estimation,
IbPRIA13(350-357).
Springer DOI 1307
BibRef

Duan, K.[Kun], Batra, D.[Dhruv], Crandall, D.[David],
A Multi-layer Composite Model for Human Pose Estimation,
BMVC12(116).
DOI Link 1301
BibRef

Jammalamadaka, N.[Nataraj], Zisserman, A.[Andrew], Eichner, M.[Marcin], Ferrari, V.[Vittorio], Jawahar, C.V.,
Has My Algorithm Succeeded? An Evaluator for Human Pose Estimators,
ECCV12(III: 114-128).
Springer DOI 1210
BibRef

Tian, Y.D.[Yuan-Dong], Zitnick, C.L.[C. Lawrence], Narasimhan, S.G.[Srinivasa G.],
Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation,
ECCV12(V: 256-269).
Springer DOI 1210

See also Globally Optimal Estimation of Nonrigid Image Distortion. BibRef

Oh, C.M.[Chi-Min], Lee, Y.C.[Yong-Cheol], Bae, K.T.[Ki-Tae], Lee, C.W.[Chil-Woo],
Adaptive Exemplar-based Particle Filter for 2d Human Pose Estimation,
ISVC12(II: 609-615).
Springer DOI 1209
BibRef

Sun, M.[Min], Telaprolu, M.[Murali], Lee, H.L.[Hong-Lak], Savarese, S.[Silvio],
An efficient branch-and-bound algorithm for optimal human pose estimation,
CVPR12(1616-1623).
IEEE DOI 1208
BibRef

Simo-Serra, E.[Edgar], Quattoni, A.[Ariadna], Torras, C.[Carme], Moreno-Noguer, F.[Francesc],
A Joint Model for 2D and 3D Pose Estimation from a Single Image,
CVPR13(3634-3641)
IEEE DOI 1309
BibRef

Moreno-Noguer, F.[Francesc],
3D Human Pose Estimation from a Single Image via Distance Matrix Regression,
CVPR17(1561-1570)
IEEE DOI 1711
Detectors, Euclidean distance, Pose estimation, Shape, Training, BibRef

Simo-Serra, E., Ramisa, A., Alenya, G., Torras, C.[Carme], Moreno-Noguer, F.[Francesc],
Single image 3D human pose estimation from noisy observations,
CVPR12(2673-2680).
IEEE DOI 1208
BibRef

Sun, M.[Min], Kohli, P.[Pushmeet], Shotton, J.J.D.[Jamie J.D.],
Conditional regression forests for human pose estimation,
CVPR12(3394-3401).
IEEE DOI 1208
BibRef

Souvenir, R.[Richard], Hajja, A.[Ayman], Spurlock, S.[Scott],
Gamesourcing to acquire labeled human pose estimation data,
CVCG12(1-6).
IEEE DOI 1207
BibRef

Akhtar, S., Ahmad, A.R., Abdel-Rahman, E.M.,
A Metaheuristic Bat-Inspired Algorithm for Full Body Human Pose Estimation,
CRV12(369-375).
IEEE DOI 1207
BibRef

Holt, B.[Brian], Ong, E.J.[Eng-Jon], Bowden, R.[Richard],
Accurate static pose estimation combining direct regression and geodesic extrema,
FG13(1-7)
IEEE DOI 1309
differential geometry BibRef

Holt, B.[Brian], Ong, E.J.[Eng-Jon], Cooper, H.[Helen], Bowden, R.[Richard],
Putting the pieces together: Connected Poselets for human pose estimation,
ConDepth11(1196-1201).
IEEE DOI 1201
BibRef

Chen, K.[Ke], Gong, S.G.[Shao-Gang], Xiang, T.[Tao],
Human Pose Estimation Using Structural Support Vector Machines,
SISM11(846-851).
IEEE DOI 1201

See also Support Vector Machine Based Multi-View Face Detection and Recognition. BibRef

Richter, M.[Michal], Varanasi, K.[Kiran], Hasler, N.[Nils], Theobalt, C.[Christian],
Real-Time Reshaping of Humans,
3DIMPVT12(340-347).
IEEE DOI 1212
BibRef

Müller, J.[Jürgen], Arens, M.[Michael],
Human pose estimation with implicit shape models,
ARTEMIS10(9-14).
DOI Link 1111
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Han, H.[Hong], Tong, M.L.[Ming-Lei], Gou, J.X.[Jing-Xiang], Wang, R.[Rui], Feng, G.J.[Guang-Jie],
Discriminative Human Pose Estimation Based on the Bandelet2 Image Descriptor,
ICIG11(679-684).
IEEE DOI 1109
BibRef

Hara, K.[Kota], Kurokawa, T.[Takaharu],
Human pose estimation using patch-based candidate generation and model-based verification,
FG11(687-693).
IEEE DOI 1103
BibRef

Hara, K.[Kota],
Real-time inference of 3D human poses by assembling local patches,
WACV09(1-8).
IEEE DOI 0912
BibRef

Park, J.H.[Jung-Hwa], Karungaru, S.[Stephen], Terada, K.[Kenji],
Recognition of a person's state using FG Vision Sensor,
FCV11(1-4).
IEEE DOI 1102
3-D sensor. BibRef

Park, A.[Anjin], Jung, K.C.[Kee-Chul],
Human Pose Recognition Using Chamfer Distance in Reduced Background Edge for Human-Robot Interaction,
ISVC10(II: 726-735).
Springer DOI 1011
BibRef

Flitti, F., Bennamoun, M., Huynh, D.Q., Owens, R.A.,
Probabilistic human pose recovery from 2D images,
ICIP10(1517-1520).
IEEE DOI 1009
BibRef

Fihl, P., Moeslund, T.B.,
Pose Estimation of Interacting People using Pictorial Structures,
AVSS10(462-468).
IEEE DOI 1009
BibRef

Wang, Y.K.[Yuan-Kai], Cheng, K.Y.[Kuang-You],
3D Human Pose Estimation by an Annealed Two-Stage Inference Method,
ICPR10(535-538).
IEEE DOI 1008
BibRef

Boughorbel, S.[Sabri], Bruekers, F.[Fons], Breebaart, J.[Jeroen],
Baby-Posture Classification from Pressure-Sensor Data,
ICPR10(556-559).
IEEE DOI 1008
BibRef

Singh, V.K.[Vivek Kumar], Khan, F.M.[Furqan Muhammad], Nevatia, R.[Ram],
Multiple pose context trees for estimating human pose in object context,
SMiCV10(17-24).
IEEE DOI 1006

See also Simultaneous inference of activity, pose and object. BibRef

Huang, J.B.[Jia-Bin], Yang, M.H.[Ming-Hsuan],
Estimating Human Pose from Occluded Images,
ACCV09(I: 48-60).
Springer DOI 0909
BibRef

Pehlivan, S.[Selen], Duygulu, P.[Pinar],
3D human pose search using oriented cylinders,
S3DV09(16-22).
IEEE DOI 0910
BibRef

Shahbudin, S., Hussain, A., El-Shafie, A.[Ahmed], Tahir, N.M., Samad, S.A.,
Adaptive-Neuro Fuzzy Inference System for Human Posture Classification Using a Simplified Shock Graph,
IVIC09(585-595).
Springer DOI 0911
BibRef

Cheng, P.[Peng], Li, W.Q.[Wan-Qing], Ogunbona, P.[Philip],
Kernel PCA of HOG features for posture detection,
IVCNZ09(415-420).
IEEE DOI 0911

See also Head pose estimation based on extended non-negative matrix factorization. BibRef

Ben Abdelkader, C.[Chiraz], Yacoob, Y.[Yaser],
Statistical body height estimation from a single image,
FG08(1-7).
IEEE DOI 0809
BibRef

Chen, Y.[Yan], Wu, Q.A.[Qi-Ang], He, X.J.[Xiang-Jian], Du, C.H.[Chun-Hua], Yang, J.[Jie],
Extracting key postures using radon transform,
IVCNZ08(1-5).
IEEE DOI 0811
BibRef

Onishi, K.[Katsunori], Takiguchi, T.[Tetsuya], Ariki, Y.[Yasuo],
3D human posture estimation using the HoG features from monocular image,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Kamiya, K.[Kazuhiro], Kudo, M.[Mineichi], Nonaka, H.[Hidetoshi], Toyama, J.[Jun],
Sitting posture analysis by pressure sensors,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Baranda, J.[Jorge], Jeanne, V.[Vincent], Braspenning, R.[Ralph],
Efficiency improvement of human body detection with histograms of oriented gradients,
ICDSC08(1-9).
IEEE DOI 0809
BibRef

Bandouch, J., Engstler, F., Beetz, M.,
Evaluation of Hierarchical Sampling Strategies in 3D Human Pose Estimation,
BMVC08(xx-yy).
PDF File. 0809
BibRef

Daubney, B.[Ben], Xie, X.H.[Xiang-Hua],
Entropy Driven Hierarchical Search for 3D Human Pose Estimation,
BMVC11(xx-yy).
HTML Version. 1110
BibRef
Earlier:
Estimating 3D Human Pose from Single Images Using Iterative Refinement of the Prior,
ICPR10(3440-3443).
IEEE DOI 1008
BibRef
And:
Estimating 3D Pose via Stochastic Search and Expectation Maximization,
AMDO10(67-77).
Springer DOI 1007
BibRef

Urtasun, R.[Raquel], Darrell, T.J.[Trevor J.],
Sparse probabilistic regression for activity-independent human pose inference,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Gupta, A.[Abhinav], Chen, T.[Trista], Chen, F.[Francine], Kimber, D.[Don], Davis, L.S.[Larry S.],
Context and observation driven latent variable model for human pose estimation,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Liu, X.M.[Xiao-Ming], Yu, T.[Ting], Sebastian, T.[Thomas], Tu, P.H.[Peter H.],
Boosted deformable model for human body alignment,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Wang, Y.[Yi], Qian, G.[Gang],
Robust Human Pose Recognition Using Unlabelled Markers,
WACV08(1-7).
IEEE DOI 0801
BibRef

Morita, S.[Satoru],
Generating Body Surface Deformation Using Level Set Method,
AMFG07(84-95).
Springer DOI 0710
BibRef

Pham, Q.C.[Quoc-Cuong], Gond, L.[Laetitia], Begard, J.[Julien], Allezard, N.[Nicolas], Sayd, P.[Patrick],
Real-Time Posture Analysis in a Crowd using Thermal Imaging,
VS07(1-8).
IEEE DOI 0706
BibRef

Okada, R.[Ryuzo], Soatto, S.[Stefano],
Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images,
ECCV08(II: 434-445).
Springer DOI 0810

See also Hybrid Dynamical Models of Human Motion for the Recognition of Human Gaits. BibRef

Menier, C.[Clement], Boyer, E.[Edmond], Raffin, B.[Bruno],
3D Skeleton-Based Body Pose Recovery,
3DPVT06(389-396).
IEEE DOI 0606
BibRef

Robertson, C., Trucco, E.,
Human Body Posture via Hierarchical Evolutionary Optimization,
BMVC06(III:999).
PDF File. 0609
BibRef

Chen, Y.P.[Yin-Peng], Sundaram, H.[Hari], James, J.[Jodi],
Estimating the Physical Effort of Human Poses,
CIVR06(487-490).
Springer DOI 0607
BibRef

Navaratnam, R.[Ramanan], Fitzgibbon, A.W.[Andrew W.], Cipolla, R.[Roberto],
The Joint Manifold Model for Semi-supervised Multi-valued Regression,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Castiello, C., d'Orazio, T., Fanelli, A.M., Spagnolo, P., Torsello, M.A.,
A model-free approach for posture classification,
AVSBS05(276-281).
IEEE DOI 0602
BibRef

Lan, X.Y.[Xiang-Yang], Huttenlocher, D.P.[Daniel P.],
Beyond Trees: Common-Factor Models for 2D Human Pose Recovery,
ICCV05(I: 470-477).
IEEE DOI 0510
BibRef

Mota, S.[Selene], and Picard, R.W.[Rosalind W.],
Automated Posture Analysis for detecting Learner's Interest Level,
Vismod-TR574, June 2003
HTML Version. BibRef 0306

Azimi-Sadjadi, M.R.,
Consistency and coupling in human model likelihoods,
AFGR02(22-27).
IEEE DOI 0206
BibRef

Demirdjian, D.[David], Urtasun, R.[Raquel],
Patch-Based Pose Inference with a Mixture of Density Estimators,
AMFG07(96-108).
Springer DOI 0710
BibRef

Njåstad, J., Grinaker, S., Storhaug, G.A.,
Estimating Parameters in a 2 1/2 D human model,
SCIA99(Computer Vision I). BibRef 9900

Koutamanis, A., Mitossi, V.,
On the Recognition of Posture,
ICPR92(I:542-545).
IEEE DOI BibRef 9200

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Human Posture, or Human Pose, Learning, Neural Networks .