22.4.1.3 Multi-Person Human Pose Desicriptions

Dantone, M.[Matthias], Gall, J.[Juergen], Leistner, C.[Christian], Van Gool, L.J.[Luc J.],
Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images,
PAMI(36), No. 11, November 2014, pp. 2131-2143.
IEEE DOI 1410
BibRef
Earlier:
Human Pose Estimation Using Body Parts Dependent Joint Regressors,
CVPR13(3041-3048)
IEEE DOI 1309
Accuracy. human pose estimation; joint regressor; random forest BibRef

Iqbal, U.[Umar], Garbade, M., Gall, J.[Juergen],
Pose for Action-Action for Pose,
FG17(438-445)
IEEE DOI 1707
Computational modeling, Feature extraction, Pose estimation, Vegetation, Videos BibRef

Iqbal, U.[Umar], Milan, A., Gall, J.[Juergen],
PoseTrack: Joint Multi-person Pose Estimation and Tracking,
CVPR17(4654-4663)
IEEE DOI 1711
BibRef
Earlier: A1, A3, Only:
Multi-person Pose Estimation with Local Joint-to-Person Associations,
Crowd16(II: 627-642).
Springer DOI 1611
Benchmark testing, Detectors, Image edge detection, Pose estimation, Tracking, Trajectory, Videos BibRef

Belagiannis, V.[Vasileios], Amin, S.[Sikandar], Andriluka, M.[Mykhaylo], Schiele, B.[Bernt], Navab, N.[Nassir], Ilic, S.[Slobodan],
3D Pictorial Structures Revisited: Multiple Human Pose Estimation,
PAMI(38), No. 10, October 2016, pp. 1929-1942.
IEEE DOI 1609
BibRef
Earlier:
3D Pictorial Structures for Multiple Human Pose Estimation,
CVPR14(1669-1676)
IEEE DOI 1409
Biological system modeling 3D pose estimation;human pose estimation;pictorial structures
See also Discriminative Appearance Models for Pictorial Structures. BibRef

Belagiannis, V.[Vasileios], Wang, X.C.[Xin-Chao], Schiele, B.[Bernt], Fua, P.[Pascal], Ilic, S.[Slobodan], Navab, N.[Nassir],
Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures,
ChaLearn14(742-754).
Springer DOI 1504
BibRef

Amin, S.[Sikandar], Andriluka, M.[Mykhaylo], Rohrbach, M.[Marcus], Schiele, B.[Bernt],
Multi-view Pictorial Structures for 3D Human Pose Estimation,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Pishchulin, L.[Leonid], Andriluka, M.[Mykhaylo], Gehler, P.[Peter], Schiele, B.[Bernt],
Poselet Conditioned Pictorial Structures,
CVPR13(588-595)
IEEE DOI 1309
articulated pose estimation BibRef

Luo, Y., Xu, Z., Liu, P., Du, Y., Guo, J.,
Multi-Person Pose Estimation via Multi-Layer Fractal Network and Joints Kinship Pattern,
IP(28), No. 1, January 2019, pp. 142-155.
IEEE DOI 1810
Pose estimation, Heating systems, Fractals, Task analysis, Convolutional neural networks, Computer architecture, Joints, hierarchical bi-directional inference algorithm BibRef

Guo, H.[Hengkai], Tang, T.[Tang], Luo, G.Z.[Guo-Zhong], Chen, R.W.[Ri-Wei], Lu, Y.C.[Yong-Chen], Wen, L.F.[Lin-Fu],
Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking,
PoseTrack18(II:209-216).
Springer DOI 1905
BibRef

Honda, H.[Hiroto], Kato, T.[Tomohiro], Uchida, Y.[Yusuke],
Enhanced Two-Stage Multi-person Pose Estimation,
PoseTrack18(II:217-220).
Springer DOI 1905
BibRef

Vasileiadis, M.[Manolis], Bouganis, C.S.[Christos-Savvas], Tzovaras, D.[Dimitrios],
Multi-person 3D pose estimation from 3D cloud data using 3D convolutional neural networks,
CVIU(185), 2019, pp. 12-23.
Elsevier DOI 1906
3D Human pose estimation, Multi-person, Voxel grid, 3D CNN, Sequential Network BibRef

Duan, P.[Peng], Wang, T.[Tingwei], Cui, M.[Maowei], Sang, H.Y.[Hong-Yan], Sun, Q.[Qun],
Multi-person pose estimation based on a deep convolutional neural network,
JVCIR(62), 2019, pp. 245-252.
Elsevier DOI 1908
Multi-person pose estimation, Improved faster R-CNN, Top-down structure, ResNet-152 model, Conditional random field BibRef

Li, M., Zhou, Z., Liu, X.,
Multi-Person Pose Estimation Using Bounding Box Constraint and LSTM,
MultMed(21), No. 10, October 2019, pp. 2653-2663.
IEEE DOI 1910
convolutional neural nets, feature extraction, learning (artificial intelligence), pose estimation, long short-term memory BibRef

Li, M., Zhou, Z., Li, J., Liu, X.,
Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint,
ICPR18(115-120)
IEEE DOI 1812
Pose estimation, Detectors, Feature extraction, Testing, Runtime, Heating systems BibRef

Zhao, Y.[Ying], Luo, Z.W.[Zhi-Wei], Quan, C.Q.[Chang-Qin], Liu, D.C.[Dian-Chao], Wang, G.[Gang],
Cluster-wise learning network for multi-person pose estimation,
PR(98), 2020, pp. 107074.
Elsevier DOI 1911
BibRef
And:
Lite Hourglass Network for Multi-person Pose Estimation,
MMMod20(II:226-238).
Springer DOI 2003
Pose estimation, Keypoint detection, Deep learning BibRef

Xu, X.X.[Xi-Xia], Zou, Q.[Qi], Lin, X.[Xue], Huang, Y.P.[Ya-Ping], Tian, Y.[Yi],
Integral Knowledge Distillation for Multi-Person Pose Estimation,
SPLetters(27), 2020, pp. 436-440.
IEEE DOI 2004
Pose estimation, Training, Semantics, Predictive models, Computational modeling, Heating systems, Task analysis, structure distillation BibRef

Huang, Y.[Ying], Shum, H.P.H.[Hubert P.H.], Ho, E.S.L.[Edmond S.L.], Aslam, N.[Nauman],
High-speed multi-person pose estimation with deep feature transfer,
CVIU(197-198), 2020, pp. 103010.
Elsevier DOI 2008
Human pose estimation, Feature transfer, Deep learning BibRef

Huang, Y.[Ying], Zhuang, J.K.[Jian-Kai], Qin, Z.C.[Zeng-Chang],
Multi-Level Network for High-Speed Multi-Person Pose Estimation,
ICIP19(589-593)
IEEE DOI 1910
Pose estimation, deep learning, convolutional neural networks BibRef

Gu, R., Wang, G., Jiang, Z., Hwang, J.N.,
Multi-Person Hierarchical 3D Pose Estimation in Natural Videos,
CirSysVideo(30), No. 11, November 2020, pp. 4245-4257.
IEEE DOI 2011
Pose estimation, Cameras, Training data, Videos, perspective-n-point (PNP) BibRef

Martínez-González, A., Villamizar, M., Canévet, O., Odobez, J.M.,
Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation,
CirSysVideo(30), No. 11, November 2020, pp. 4207-4221.
IEEE DOI 2011
Pose estimation, Computer architecture, Task analysis, Detectors, machine learning BibRef

Cao, Z.[Zhe], Hidalgo, G.[Gines], Simon, T.[Tomas], Wei, S.E.[Shih-En], Sheikh, Y.[Yaser],
OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields,
PAMI(43), No. 1, January 2021, pp. 172-186.
IEEE DOI 2012
BibRef
Earlier: A1, A3, A4, A5, Only:
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields,
CVPR17(1302-1310)
IEEE DOI 1711
Pose estimation, Detectors, Runtime, Kernel, Training, 2D human pose estimation, part affinity fields. Benchmark testing, Computer architecture, Training, BibRef

Raaj, Y.[Yaadhav], Idrees, H.[Haroon], Hidalgo, G.[Gines], Sheikh, Y.[Yaser],
Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields,
CVPR19(4615-4623).
IEEE DOI 2002
BibRef

Bao, Q.[Qian], Liu, W.[Wu], Cheng, Y.H.[Yu-Hao], Zhou, B.Y.[Bo-Yan], Mei, T.[Tao],
Pose-Guided Tracking-by-Detection: Robust Multi-Person Pose Tracking,
MultMed(23), 2021, pp. 161-175.
IEEE DOI 2012
Videos, Task analysis, Pose estimation, Robustness, Detectors, Object tracking, Pose tracking, pose estimation, human association BibRef

Xu, Y.M.[Yi-Ming], Li, J.X.[Jia-Xin], Ding, Y.[Yan], Wei, H.L.[Hua-Liang],
A Global to Local Double Embedding Method for Multi-person Pose Estimation,
ACCV20(V:88-103).
Springer DOI 2103
BibRef

Zhang, Z.Q.[Zhi-Qian], Luo, Y.M.[Yan-Min], Gou, J.[Jin],
Double anchor embedding for accurate multi-person 2D pose estimation,
IVC(111), 2021, pp. 104198.
Elsevier DOI 2106
Double anchor embedding, Ghost joint suppression, Greedy joint inference, Multi-person pose estimation BibRef

Nibali, A.[Aiden], Millward, J.[Joshua], He, Z.[Zhen], Morgan, S.[Stuart],
ASPset: An outdoor sports pose video dataset with 3D keypoint annotations,
IVC(111), 2021, pp. 104196.
Elsevier DOI 2106
Dataset, Human Pose. Markerless motion capture, Human pose estimation, Triangulation, Camera calibration BibRef

Kumarapu, L.[Laxman], Mukherjee, P.[Prerana],
AnimePose: Multi-person 3D pose estimation and animation,
PRL(147), 2021, pp. 16-24.
Elsevier DOI 2106
BibRef

Samet, N.[Nermin], Akbas, E.[Emre],
HPRNet: Hierarchical point regression for whole-body human pose estimation,
IVC(115), 2021, pp. 104285.
Elsevier DOI 2110
Whole-body human pose estimation, Multi-person pose estimation, Facial landmark detection, Hand keypoint Estimation BibRef

Park, J.[Jaeseo], Heo, J.H.[Jun-Ho], Kang, S.J.[Suk-Ju],
Feedback-based object detection for multi-person pose estimation,
SP:IC(99), 2021, pp. 116508.
Elsevier DOI 2111
Pose estimation, Object detection, Multi-person, Real-time system BibRef

Sun, Y.[Yu], Bao, Q.[Qian], Liu, W.[Wu], Fu, Y.[Yili], Black, M.J.[Michael J.], Mei, T.[Tao],
Monocular, One-stage, Regression of Multiple 3D People,
ICCV21(11159-11168)
IEEE DOI 2203
Heating systems, Solid modeling, Pipelines, Estimation, Benchmark testing, Real-time systems, Gestures and body pose, BibRef

Ke, L.P.[Li-Peng], Chang, M.C.[Ming-Ching], Qi, H.G.[Hong-Gang], Lyu, S.W.[Si-Wei],
DetPoseNet: Improving Multi-Person Pose Estimation via Coarse-Pose Filtering,
IP(31), No. 2022, pp. 2782-2795.
IEEE DOI 2204
Pose estimation, Proposals, Task analysis, Convolutional neural networks, Computational efficiency, Videos, COCO BibRef

Huang, B.Z.[Bu-Zhen], Zhang, T.S.[Tian-Shu], Wang, Y.G.[Yan-Gang],
Pose2UV: Single-Shot Multiperson Mesh Recovery With Deep UV Prior,
IP(31), 2022, pp. 4679-4692.
IEEE DOI 2207
Shape, Image reconstruction, Color, Heat recovery, Detectors, Benchmark testing, Multi-person mesh recovery, human prior, visible pose and mask estimation BibRef

Li, J.[Jia], Wang, M.[Meng],
Multi-Person Pose Estimation With Accurate Heatmap Regression and Greedy Association,
CirSysVideo(32), No. 8, August 2022, pp. 5521-5535.
IEEE DOI 2208
Heating systems, Pose estimation, Location awareness, Task analysis, Skeleton, Feature extraction, Detectors, Bottom-up, offset BibRef

Zhang, Y.H.[Ya-Hui], You, S.D.[Shao-Di], Karaoglu, S.[Sezer], Gevers, T.[Theo],
Multi-person 3D pose estimation from a single image captured by a fisheye camera,
CVIU(222), 2022, pp. 103505.
Elsevier DOI 2209
Multi-person 3D pose estimation, Fisheye camera, Distortion, Dataset BibRef

Munea, T.L.[Tewodros Legesse], Yang, C.[Chenhui], Huang, C.X.[Chen-Xi], Elhassan, M.A.M.[Mohammed A.M.], Zhen, Q.K.[Qing-Kai],
SimpleCut: A simple and strong 2D model for multi-person pose estimation,
CVIU(222), 2022, pp. 103509.
Elsevier DOI 2209
Simple and strong 2D pose estimation, SimpleCut human pose estimation, 2D human pose estimation BibRef

Dong, J.T.[Jun-Ting], Fang, Q.[Qi], Jiang, W.[Wen], Yang, Y.[Yurou], Huang, Q.X.[Qi-Xing], Bao, H.J.[Hu-Jun], Zhou, X.W.[Xiao-Wei],
Fast and Robust Multi-Person 3D Pose Estimation and Tracking From Multiple Views,
PAMI(44), No. 10, October 2022, pp. 6981-6992.
IEEE DOI 2209
BibRef
Earlier: A1, A3, A5, A6, A7, Only:
Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views,
CVPR19(7784-7793).
IEEE DOI 2002
Image reconstruction, Pose estimation, Cameras, Solid modeling, Noise measurement, Detectors, 3D human pose estimation, multi-view reconstruction BibRef

Cheng, Y.[Yu], Wang, B.[Bo], Tan, R.T.[Robby T.],
Dual Networks Based 3D Multi-Person Pose Estimation From Monocular Video,
PAMI(45), No. 2, February 2023, pp. 1636-1651.
IEEE DOI 2301
Pose estimation, Optimization, Training, Testing, Semisupervised learning, Heating systems, test time optimization BibRef

Zhang, Y.[Yifu], Wang, C.Y.[Chun-Yu], Wang, X.G.[Xing-Gang], Liu, W.Y.[Wen-Yu], Zeng, W.J.[Wen-Jun],
VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild,
PAMI(45), No. 2, February 2023, pp. 2613-2626.
IEEE DOI 2301
Pose estimation, Heating systems, Cameras, Task analysis, Space heating, Noise measurement, 3D human pose tracking, multiple camera views BibRef

Yang, S.[Sen], Feng, Z.[Ze], Wang, Z.C.[Zhi-Cheng], Li, Y.J.[Yan-Jie], Zhang, S.K.[Shou-Kui], Quan, Z.B.[Zhi-Bin], Xia, S.T.[Shu-Tao], Yang, W.K.[Wan-Kou],
Detecting and grouping keypoints for multi-person pose estimation using instance-aware attention,
PR(136), 2023, pp. 109232.
Elsevier DOI 2301
Multi-person human pose estimation, Self-attention, Bottom-up, Transformer, Grouping, Keypoints association BibRef

Li, J.N.[Jia-Ning], Wang, Y.[Yaowei], Zhang, S.L.[Shi-Liang],
PolarPose: Single-Stage Multi-Person Pose Estimation in Polar Coordinates,
IP(32), 2023, pp. 1108-1119.
IEEE DOI 2302
Pose estimation, Quantization (signal), Heating systems, Task analysis, Location awareness, Transformers, Detectors, quantization BibRef

Cheng, Y.[Yu], Ai, Y.H.[Yi-Hao], Wang, B.[Bo], Wang, X.C.[Xin-Chao], Tan, R.T.[Robby T.],
Bottom-up 2D pose estimation via dual anatomical centers for small-scale persons,
PR(139), 2023, pp. 109403.
Elsevier DOI 2304
Multi-person pose estimation, Human pose estimation, Anatomical centers BibRef

Fang, H.S.[Hao-Shu], Li, J.F.[Jie-Feng], Tang, H.Y.[Hong-Yang], Xu, C.[Chao], Zhu, H.Y.[Hao-Yi], Xiu, Y.L.[Yu-Liang], Li, Y.L.[Yong-Lu], Lu, C.[Cewu],
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time,
PAMI(45), No. 6, June 2023, pp. 7157-7173.
IEEE DOI 2305
Pose estimation, Detectors, Heating systems, Faces, Proposals, Location awareness, Training, Human pose estimation, pose tracking, multi-person BibRef

Fang, H.S., Xie, S., Tai, Y.W., Lu, C.,
RMPE: Regional Multi-person Pose Estimation,
ICCV17(2353-2362)
IEEE DOI 1802
feature extraction, object detection, pose estimation, MPII dataset, Parametric Pose NonMaximum-Suppression, Training BibRef

Li, Q.[Qun], Zhang, Z.[Ziyi], Zhang, F.[Feng], Xiao, F.[Fu],
HRNeXt: High-Resolution Context Network for Crowd Pose Estimation,
MultMed(25), 2023, pp. 1521-1528.
IEEE DOI 2305
Pose estimation, Convolution, Task analysis, Kernel, Feature extraction, Context modeling, Transformers, high-resolution representation BibRef

Shen, T.Y.[Tian-Yu], Li, D.Q.[De-Qi], Wang, F.Y.[Fei-Yue], Huang, H.[Hua],
Depth-Aware Multi-Person 3D Pose Estimation With Multi-Scale Waterfall Representations,
MultMed(25), 2023, pp. 1439-1451.
IEEE DOI 2305
Pose estimation, Feature extraction, Location awareness, Cameras, Semantics, Solid modeling, Human depth perceiving, occlusion handling BibRef

Liu, S.[Sheng], Shuai, J.H.[Jiang-Hai], Li, Y.[Yang], Du, S.[Sidan],
MMDA: Multi-person marginal distribution awareness for monocular 3D pose estimation,
IET-IPR(17), No. 7, 2023, pp. 2182-2191.
DOI Link 2305
3D human pose estimation, bottom-up method, marginal distribution awareness, multi-person pose estimation BibRef

Zhou, T.F.[Tian-Fei], Yang, Y.[Yi], Wang, W.G.[Wen-Guan],
Differentiable Multi-Granularity Human Parsing,
PAMI(45), No. 7, July 2023, pp. 8296-8310.
IEEE DOI 2306
Semantics, Task analysis, Pose estimation, Visualization, Biological system modeling, Semantic segmentation, multi-granularity human representation BibRef

Zhang, T.[Tong], Lian, J.X.[Jing-Xiang], Wen, J.T.[Jing-Tao], Chen, C.L.P.[C. L. Philip],
Multi-Person Pose Estimation in the Wild: Using Adversarial Method to Train a Top-Down Pose Estimation Network,
SMCS(53), No. 7, July 2023, pp. 3919-3929.
IEEE DOI 2307
Pose estimation, Convolution, Task analysis, Convolutional neural networks, Skeleton, Costs, pose estimation BibRef

He, J.H.[Jian-Hang], Sun, J.[Junyao], Liu, Q.[Qiong], Peng, S.[Shaowu],
NRPose: Towards noise resistance for multi-person pose estimation,
PR(142), 2023, pp. 109680.
Elsevier DOI 2307
Multi-person pose estimation, Noise resistance, Region proposal, Keypoint relation BibRef

Wang, D.K.[Dong-Kai], Zhang, S.L.[Shi-Liang],
Contextual Instance Decoupling for Instance-Level Human Analysis,
PAMI(45), No. 8, August 2023, pp. 9520-9533.
IEEE DOI 2307
Pipelines, Task analysis, Pose estimation, Heating systems, Benchmark testing, Image segmentation, Feature extraction, multi-person segmentation BibRef

Zou, S.H.[Shi-Hao], Zuo, X.X.[Xin-Xin], Wang, S.[Sen], Qian, Y.M.[Yi-Ming], Guo, C.[Chuan], Cheng, L.[Li],
Human Pose and Shape Estimation from Single Polarization Images,
MultMed(25), 2023, pp. 3560-3572.
IEEE DOI 2310
BibRef

Zhu, H.[Hao], Zuo, X.X.[Xin-Xin], Wang, S.[Sen], Cao, X.[Xun], Yang, R.G.[Rui-Gang],
Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation,
CVPR19(4486-4495).
IEEE DOI 2002
BibRef

Miao, H.X.[Hui-Xin], Lin, J.Q.[Jun-Qi], Cao, J.J.[Jun-Jie], He, X.G.[Xiao-Guang], Su, Z.X.[Zhi-Xun], Liu, R.S.[Ri-Sheng],
SMPR: Single-stage multi-person pose regression,
PR(143), 2023, pp. 109743.
Elsevier DOI 2310
Pose estimation, Dense prediction, Instance-aware keypoints, Pose scoring BibRef

Zou, S.H.[Shi-Hao], Xu, Y.L.[Yuan-Lu], Li, C.[Chao], Ma, L.[Lingni], Cheng, L.[Li], Vo, M.[Minh],
Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet,
CirSysVideo(33), No. 9, September 2023, pp. 4921-4933.
IEEE DOI Code:
WWW Link. 2310
BibRef

Xu, X.X.[Xi-Xia], Zou, Q.[Qi], Lin, X.[Xue],
Structure-Enriched Topology Learning For Cross-Domain Multi-Person Pose Estimation,
MultMed(25), 2023, pp. 6272-6284.
IEEE DOI 2311
BibRef

Ghasemi-Naraghi, Z.[Zeinab], Nickabadi, A.[Ahmad], Safabakhsh, R.[Reza],
Towards reliable multi-person pose estimation using Conditional Random Fields,
PRL(175), 2023, pp. 59-65.
Elsevier DOI 2311
Multi-person pose estimation, Human pose refiner, Conditional Random Fields, Model-agnostic method BibRef

Jia, B.J.[Bao-Jian], Ren, J.[Jie],
Real-time Multi-person Pose Tracking Method Using Deep Reinforcement Learning,
IJIG(23), No. 6 2023, pp. 2350055.
DOI Link 2312
BibRef

Xie, C.Y.[Chun-Yang], Zhang, D.H.[Dong-Heng], Wu, Z.[Zhi], Yu, C.[Cong], Hu, Y.[Yang], Chen, Y.[Yan],
RPM 2.0: RF-Based Pose Machines for Multi-Person 3D Pose Estimation,
CirSysVideo(34), No. 1, January 2024, pp. 490-503.
IEEE DOI 2401
BibRef

Jin, L.[Lei], Wang, X.J.[Xiao-Juan], Nie, X.C.[Xue-Cheng], Wang, W.D.[Wen-Dong], Guo, Y.D.[Yan-Dong], Yan, S.C.[Shui-Cheng], Zhao, J.[Jian],
Rethinking the Person Localization for Single-Stage Multi-Person Pose Estimation,
MultMed(26), 2024, pp. 1436-1447.
IEEE DOI 2402
Location awareness, Pose estimation, Training, Periodic structures, Electronic mail, Heating systems, Adaptation models, single-stage BibRef

Zhu, L.[Leyan], Wang, Z.T.[Zi-Tian], Liu, S.[Si], Nie, X.C.[Xue-Cheng], Liu, L.Q.[Luo-Qi], Li, B.[Bo],
Multi-Person Pose Regression With Distribution-Aware Single-Stage Models,
PAMI(46), No. 8, August 2024, pp. 5384-5397.
IEEE DOI 2407
Task analysis, Solid modeling, Pose estimation, Predictive models, Computational modeling, Pipelines, Multi-Person pose estimation, single-stage model BibRef

Wang, Z.T.[Zi-Tian], Nie, X.C.[Xue-Cheng], Qu, X.C.[Xiao-Chao], Chen, Y.P.[Yun-Peng], Liu, S.[Si],
Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation,
CVPR22(13086-13095)
IEEE DOI 2210
Training, Solid modeling, Computational modeling, Pose estimation, Pipelines, Benchmark testing, Pose estimation and tracking, 3D from single images BibRef

Nie, X.C.[Xue-Cheng], Feng, J.S.[Jia-Shi], Xing, J.L.[Jun-Liang], Yan, S.C.[Shui-Cheng],
Pose Partition Networks for Multi-person Pose Estimation,
ECCV18(VI: 705-720).
Springer DOI 1810
BibRef

Jin, L.[Lei], Xu, C.Y.[Chen-Yang], Wang, X.J.[Xiao-Juan], Xiao, Y.[Yabo], Guo, Y.D.[Yan-Dong], Nie, X.C.[Xue-Cheng], Zhao, J.[Jian],
Single-Stage is Enough: Multi-Person Absolute 3D Pose Estimation,
CVPR22(13076-13085)
IEEE DOI 2210
Solid modeling, Costs, Computational modeling, Pose estimation, Pipelines, Pose estimation and tracking, 3D from single images BibRef

Tu, J.[Jun], Wu, G.S.[Gang-Shan], Wang, L.M.[Li-Min],
Dual Graph Networks for Pose Estimation in Crowded Scenes,
IJCV(132), No. 3, March 2024, pp. 633-653.
Springer DOI 2402
BibRef

Dai, Y.[Yan], Chen, B.T.[Bei-Tao], Gao, L.L.[Lian-Li], Song, J.K.[Jing-Kuan], Shen, H.T.[Heng Tao],
DMH-CL: Dynamic Model Hardness Based Curriculum Learning for Complex Pose Estimation,
MultMed(26), 2024, pp. 3180-3193.
IEEE DOI 2402
Training, Pose estimation, Computational modeling, Dynamic scheduling, Task analysis, Robustness, Training data, Curriculum Learning BibRef

Wang, Q.Q.[Qian-Qian], Liu, Q.[Qiong],
FDNet: Feature decoupling for single-stage pose estimation in complex scenes,
JVCIR(98), 2024, pp. 104007.
Elsevier DOI 2402
Multi-person pose estimation, Complex scenes, Feature decoupling BibRef

Fu, Z.[Zehua], Zuo, W.[Wenhang], Hu, Z.H.[Zheng-Hui], Liu, Q.J.[Qing-Jie], Wang, Y.H.[Yun-Hong],
Improving Multi-Person Pose Tracking With a Confidence Network,
MultMed(26), 2024, pp. 5223-5233.
IEEE DOI 2404
Pose estimation, Pipelines, Heating systems, Detectors, Trajectory, Videos, Task analysis, Bbox-revision, keypoint confidence network, pose estimation BibRef

Jiang, Y.[Yalong], Ding, W.R.[Wen-Rui], Li, H.G.[Hong-Guang], Chi, Z.[Zheru],
Multi-Person Pose Tracking With Sparse Key-Point Flow Estimation and Hierarchical Graph Distance Minimization,
IP(33), 2024, pp. 3590-3605.
IEEE DOI 2406
Pose estimation, Tracking, Vectors, Task analysis, Detectors, Visualization, Sparse key-point flow estimating module, anomaly detection BibRef

Wang, H.X.[Hai-Xin], Zhou, L.[Lu], Chen, Y.Y.[Ying-Ying], Chen, Z.Y.[Zhi-Yang], Tang, M.[Ming], Wang, J.Q.[Jin-Qiao],
EFCPose: End-to-End Multi-Person Pose Estimation With Fully Convolutional Heads,
CirSysVideo(34), No. 7, July 2024, pp. 6039-6050.
IEEE DOI 2407
Pose estimation, Transformers, Training, Detectors, Semantics, Head, Feature extraction, Human pose estimation, multi-person, deep learning BibRef

Fan, Z.K.[Zhen-Kun], Huang, Z.X.[Zhuo-Xu], Chen, Z.X.[Zhi-Xiang], Xu, T.[Tao], Han, J.G.[Jun-Gong], Kittler, J.V.[Josef V.],
Lightweight Multiperson Pose Estimation With Staggered Alignment Self-Distillation,
MultMed(26), 2024, pp. 9228-9240.
IEEE DOI 2409
Pose estimation, Training, Image resolution, Computational modeling, Skeleton, Heating systems, Task analysis, lightweight neural networks BibRef

Fóthi, Á.[Áron], Skaf, J.[Joul], Lu, F.J.[Feng-Jiao], Fenech, K.[Kristian],
Deep NRSFM for multi-view multi-body pose estimation,
PRL(185), 2024, pp. 218-224.
Elsevier DOI Code:
WWW Link. 2410
Non-rigid structure from motion, Multi-view multi-body pose estimation, Dictionary learning BibRef

Zhou, M.[Mu], Stoffl, L.[Lucas], Mathis, M.W.[Mackenzie Weygandt], Mathis, A.[Alexander],
Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity,
ICCV23(14643-14653)
IEEE DOI Code:
WWW Link. 2401
BibRef

Liu, H.[Huan], Chen, Q.[Qiang], Tan, Z.C.[Zi-Chang], Liu, J.J.[Jiang-Jiang], Wang, J.[Jian], Su, X.B.[Xiang-Bo], Li, X.L.[Xiao-Long], Yao, K.[Kun], Han, J.Y.[Jun-Yu], Ding, E.[Errui], Zhao, Y.[Yao], Wang, J.D.[Jing-Dong],
Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation,
ICCV23(14983-14992)
IEEE DOI 2401
BibRef

Park, S.[Sungchan], You, E.[Eunyi], Lee, I.[Inhoe], Lee, J.[Joonseok],
Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild,
ICCV23(14726-14736)
IEEE DOI Code:
"https://www.youtube.com/@potr3d". 2401
BibRef

Doering, A.[Andreas], Gall, J.[Juergen],
A Gated Attention Transformer for Multi-Person Pose Tracking,
AMFG23(3181-3190)
IEEE DOI 2401
BibRef

Dong, Z.J.[Zi-Jian], Song, J.[Jie], Chen, X.[Xu], Guo, C.[Chen], Hilliges, O.[Otmar],
Shape-Aware Multi-Person Pose Estimation from Multi-View Images,
ICCV21(11138-11148)
IEEE DOI 2203
Solid modeling, Aggregates, Soft sensors, Pipelines, Pose estimation, Parametric statistics, Gestures and body pose, 3D from multiview and other sensors BibRef

Rahman, M.R.U.[Muhammad Rameez Ur], Scofano, L.[Luca], de Matteis, E.[Edoardo], Flaborea, A.[Alessandro], Sampieri, A.[Alessio], Galasso, F.[Fabio],
Best Practices for 2-Body Pose Forecasting,
Precognition23(3614-3624)
IEEE DOI 2309
BibRef

Peng, X.G.[Xiao-Gang], Mao, S.Y.[Si-Yuan], Wu, Z.Z.[Zi-Zhao],
Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting,
CVPR23(17121-17130)
IEEE DOI 2309
BibRef

Wen, H.[Hao], Huang, J.[Jing], Cui, H.[Huili], Lin, H.Z.[Hao-Zhe], Lai, Y.K.[Yu-Kun], Fang, L.[Lu], Li, K.[Kun],
Crowd3D: Towards Hundreds of People Reconstruction from a Single Image,
CVPR23(8937-8946)
IEEE DOI 2309
BibRef

Vendrow, E.[Edward], Le, D.T.[Duy Tho], Cai, J.F.[Jian-Fei], Rezatofighi, H.[Hamid],
JRDB-Pose: A Large-Scale Dataset for Multi-Person Pose Estimation and Tracking,
CVPR23(4811-4820)
IEEE DOI 2309
BibRef

Tian, C.Y.[Chen-Yu], Yu, R.[Ran], Zhao, X.Y.[Xin-Yuan], Xia, W.H.[Wei-Hao], Wang, H.Q.[Hao-Qian], Yang, Y.J.[Yu-Jiu],
PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding,
FG21(1-8)
IEEE DOI 2303
Location awareness, Codes, Face recognition, Pose estimation, Semantics, Gesture recognition BibRef

Artacho, B.[Bruno], Savakis, A.[Andreas],
BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations,
VAQuality23(528-537)
IEEE DOI 2302
Measurement, Adaptive systems, Filtering, Conferences, Pose estimation, Computer architecture BibRef

Ahmad, N.[Niaz], Khan, J.[Jawad], Kim, J.Y.[Jeremy Yuhyun], Lee, Y.[Youngmoon],
MultiPoseSeg: Feedback Knowledge Transfer for Multi-Person Pose Estimation and Instance Segmentation,
ICPR22(2086-2092)
IEEE DOI 2212
Training, Image segmentation, Runtime, Codes, Pose estimation, Data models, Pattern recognition BibRef

McNally, W.[William], Vats, K.[Kanav], Wong, A.[Alexander], McPhee, J.[John],
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-person Human Pose Estimation,
ECCV22(VI:37-54).
Springer DOI 2211
BibRef

Cha, J.[Junuk], Saqlain, M.[Muhammad], Kim, G.[GeonU], Shin, M.Y.[Ming-Yu], Baek, S.[Seungryul],
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement,
ECCV22(V:660-677).
Springer DOI 2211
BibRef

Liu, Q.H.[Qi-Hao], Zhang, Y.[Yi], Bai, S.[Song], Yuille, A.L.[Alan L.],
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation,
ECCV22(V:497-517).
Springer DOI 2211
BibRef

Heo, M.[Miran], Hwang, S.[Sukjun], Oh, S.W.[Seoung Wug], Lee, J.Y.[Joon-Young], Kim, S.J.[Seon Joo],
Integrating Pose and Mask Predictions for Multi-person in Videos,
ECV22(2656-2665)
IEEE DOI 2210
Computational modeling, Pipelines, Benchmark testing, Pattern recognition BibRef

Shi, D.[Dahu], Wei, X.[Xing], Li, L.Q.[Liang-Qi], Ren, Y.[Ye], Tan, W.M.[Wen-Ming],
End-to-End Multi-Person Pose Estimation with Transformers,
CVPR22(11059-11068)
IEEE DOI 2210
Location awareness, Image analysis, Codes, Pose estimation, Kinematics, Benchmark testing, Pose estimation and tracking, Scene analysis and understanding BibRef

Wang, D.K.[Dong-Kai], Zhang, S.L.[Shi-Liang],
Contextual Instance Decoupling for Robust Multi-Person Pose Estimation,
CVPR22(11050-11058)
IEEE DOI 2210
Pose estimation, Pipelines, Benchmark testing, Encoding, Pattern recognition, Pose estimation and tracking BibRef

Doering, A.[Andreas], Chen, D.[Di], Zhang, S.S.[Shan-Shan], Schiele, B.[Bernt], Gall, J.[Juergen],
PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking,
CVPR22(20931-20940)
IEEE DOI 2210
Annotations, Pose estimation, Video sequences, Pattern recognition, Task analysis, Datasets and evaluation, Pose estimation and tracking BibRef

Xue, N.[Nan], Wu, T.F.[Tian-Fu], Xia, G.S.[Gui-Song], Zhang, L.P.[Liang-Pei],
Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation,
CVPR22(13055-13064)
IEEE DOI 2210
Location awareness, Heating systems, Message passing, Computational modeling, Pose estimation, Benchmark testing, Pose estimation and tracking BibRef

Guo, W.[Wen], Bie, X.Y.[Xiao-Yu], Alameda-Pineda, X.[Xavier], Moreno-Noguer, F.[Francesc],
Multi-Person Extreme Motion Prediction,
CVPR22(13043-13054)
IEEE DOI 2210
Shape, Pose estimation, Dynamics, Collaboration, Prediction methods, Pose estimation and tracking, Datasets and evaluation, Motion and tracking BibRef

Wei, W.L.[Wen-Li], Lin, J.C.[Jen-Chun], Liu, T.L.[Tyng-Luh], Liao, H.Y.M.[Hong-Yuan Mark],
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video,
CVPR22(13201-13210)
IEEE DOI 2210
Couplings, Visualization, Correlation, Shape, Computational modeling, Pose estimation and tracking, 3D from single images, Motion and tracking BibRef

Maji, D.[Debapriya], Nagori, S.[Soyeb], Mathew, M.[Manu], Poddar, D.[Deepak],
YOLO-6D-Pose: Enhancing YOLO for Single-Stage Monocular Multi-Object 6D Pose Estimation,
3DV24(1616-1625)
IEEE DOI Code:
WWW Link. 2408
BibRef
Earlier:
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss,
ECV22(2636-2645)
IEEE DOI 2210
YOLO, Solid modeling, Codes, Pose estimation, Detectors, 6-DOF. Training, Measurement, Heating systems, Object detection, Skeleton BibRef

Dehaeck, S.[Sam], Domken, C.[Corentin], Bey-Temsamani, A.[Abdellatif], Abedrabbo, G.[Gabriel],
A Strong Geometric Baseline for Cross-View Matching of Multi-person 3D Pose Estimation from Multi-view Images,
CIAP22(II:77-88).
Springer DOI 2205
BibRef

Brasó, G.[Guillem], Kister, N.[Nikita], Leal-Taixé, L.[Laura],
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation,
ICCV21(11833-11843)
IEEE DOI 2203
Codes, Pose estimation, Detectors, Transformers, Gestures and body pose, Detection and localization in 2D and 3D BibRef

Guo, Y.L.[Yu-Liang], Li, Z.[Zhong], Li, Z.K.[Ze-Kun], Du, X.Y.[Xiang-Yu], Quan, S.[Shuxue], Xu, Y.[Yi],
PoP-Net: Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image,
WACV22(3917-3926)
IEEE DOI 2202
Training, Solid modeling, Image resolution, Codes, Fuses, Vision Systems and Applications BibRef

Ma, L.Q.[Li-Qian], Liu, L.J.[Ling-Jie], Theobalt, C.[Christian], Van Gool, L.J.[Luc J.],
Direct Dense Pose Estimation,
3DV21(721-730)
IEEE DOI 2201
Surface reconstruction, Smoothing methods, Runtime, Pose estimation, Video sequences, Jitter, dense pose, image translation BibRef

Wu, J.H.[Jia-Hua], Lee, H.J.[Hyo Jong],
Partitioned Centerpose Network for Bottom-Up Multi-Person Pose Estimation,
ICIP21(914-918)
IEEE DOI 2201
Image processing, Pose estimation, Multi-person pose estimation, Partitioned Centerpose Network, Partition Pose Representation BibRef

Jeny, A.A.[Afsana Ahsan], Junayed, M.S.[Masum Shah], Islam, M.B.[Md Baharul],
PoseTED: A Novel Regression-Based Technique for Recognizing Multiple Pose Instances,
ISVC21(I:573-585).
Springer DOI 2112
BibRef

Guo, Y.[Yu], Ma, L.C.[Li-Chen], Li, Z.[Zhi], Wang, X.[Xuan], Wang, F.[Fei],
Monocular 3D multi-person pose estimation via predicting factorized correction factors,
CVIU(213), 2021, pp. 103278.
Elsevier DOI 2112
3D human pose estimation, Absolute depth estimation, Multi-person pose estimation, Top-down approach, Attention mechanism BibRef

Cheng, Y.[Yu], Wang, B.[Bo], Yang, B.[Bo], Tan, R.T.[Robby T.],
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks,
CVPR21(7645-7655)
IEEE DOI 2111
Heating systems, Codes, Pose estimation, Pattern recognition BibRef

Huang, J.H.[Jia-Hui], Wang, H.[He], Birdal, T.[Tolga], Sung, M.[Minhyuk], Arrigoni, F.[Federica], Hu, S.M.[Shi-Min], Guibas, L.J.[Leonidas J.],
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization,
CVPR21(7104-7114)
IEEE DOI 2111
Motion segmentation, Scalability, Motion estimation, Pipelines, Dynamics BibRef

Mao, W.A.[Wei-An], Tian, Z.[Zhi], Wang, X.L.[Xin-Long], Shen, C.H.[Chun-Hua],
FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions,
CVPR21(9030-9039)
IEEE DOI 2111
Convolutional codes, Head, Pose estimation, Graphics processing units, Real-time systems, Pattern recognition BibRef

Reddy, N.D.[N. Dinesh], Guigues, L.[Laurent], Pishchulin, L.[Leonid], Eledath, J.[Jayan], Narasimhan, S.G.[Srinivasa G.],
TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking,
CVPR21(15185-15195)
IEEE DOI 2111
Pose estimation, Cameras, Pattern recognition, Reliability, Feeds, Task analysis BibRef

Guo, W.[Wen], Corona, E.[Enric], Moreno-Noguer, F.[Francesc], Alameda-Pineda, X.[Xavier],
PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation,
WACV21(2795-2805)
IEEE DOI 2106
Pose estimation, Computer architecture, Bidirectional control, Task analysis BibRef

Gu, R.[Renshu], Wang, G.[Gaoang], Hwang, J.N.[Jenq-Neng],
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution,
ICPR21(8243-8250)
IEEE DOI 2105
Solid modeling, Convolution, Pose estimation, Transforms, Logic gates, Cameras BibRef

Elmi, A.[Alessio], Mazzini, D.[Davide], Tortella, P.[Pietro],
Light3DPose: Real-time Multi-Person 3D Pose Estimation from Multiple Views,
ICPR21(2755-2762)
IEEE DOI 2105
Training, Solid modeling, Pose estimation, Transfer learning, Computer architecture, Cameras BibRef

Zeitvogel, S.[Samuel], Dornheim, J.[Johannes], Laubenheimer, A.[Astrid],
Joint Optimization for Multi-person Shape Models from Markerless 3d-scans,
ECCV20(XVIII:35-51).
Springer DOI 2012
BibRef

Cai, Y.H.[Yuan-Hao], Wang, Z.C.[Zhi-Cheng], Luo, Z.X.[Zheng-Xiong], Yin, B.[Binyi], Du, A.[Angang], Wang, H.[Haoqian], Zhang, X.Y.[Xiang-Yu], Zhou, X.Y.[Xin-Yu], Zhou, E.J.[Er-Jin], Sun, J.[Jian],
Learning Delicate Local Representations for Multi-person Pose Estimation,
ECCV20(III:455-472).
Springer DOI 2012
BibRef

Lin, J.H.[Jia-Hao], Lee, G.H.[Gim Hee],
Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo,
CVPR21(11881-11890)
IEEE DOI 2111
Codes, Pose estimation, Pipelines, Benchmark testing, Cameras BibRef

Chen, H.[He], Guo, P.F.[Peng-Fei], Li, P.F.[Peng-Fei], Lee, G.H.[Gim Hee], Chirikjian, G.[Gregory],
Multi-person 3d Pose Estimation in Crowded Scenes Based on Multi-view Geometry,
ECCV20(III:541-557).
Springer DOI 2012
BibRef

Kundu, J.N.[Jogendra Nath], Revanur, A.[Ambareesh], Waghmare, G.V.[Govind Vitthal], Venkatesh, R.M.[Rahul Mysore], Babu, R.V.[R. Venkatesh],
Unsupervised Cross-modal Alignment for Multi-person 3d Pose Estimation,
ECCV20(XIII:35-52).
Springer DOI 2011
BibRef

Zhou, C.L.[Chun-Luan], Ren, Z.[Zhou], Hua, G.[Gang],
Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking,
ECCV20(XXII:680-695).
Springer DOI 2011
BibRef

Zhen, J.N.[Jia-Nan], Fang, Q.[Qi], Sun, J.M.[Jia-Ming], Liu, W.T.[Wen-Tao], Jiang, W.[Wei], Bao, H.J.[Hu-Jun], Zhou, X.W.[Xiao-Wei],
Smap: Single-shot Multi-person Absolute 3d Pose Estimation,
ECCV20(XV:550-566).
Springer DOI 2011
BibRef

Li, B., Liu, K., Ji, Y., Yang, J., Liu, C.,
Selective Complementary Features For Multi-Person Pose Estimation,
ICIP20(623-627)
IEEE DOI 2011
Feature extraction, Pose estimation, Convolution, Training, Task analysis, Semantics, Data mining, Attention mechanism BibRef

Qiu, L.T.[Ling-Teng], Zhang, X.Y.[Xuan-Ye], Li, Y.R.[Yan-Ran], Li, G.B.[Guan-Bin], Wu, X.J.[Xiao-Jun], Xiong, Z.X.[Zi-Xiang], Han, X.G.[Xiao-Guang], Cui, S.G.[Shu-Guang],
Peeking into Occluded Joints: A Novel Framework for Crowd Pose Estimation,
ECCV20(XIX:488-504).
Springer DOI 2011
BibRef

Rafi, U.[Umer], Doering, A.[Andreas], Leibe, B.[Bastian], Gall, J.[Juergen],
Self-supervised Keypoint Correspondences for Multi-person Pose Estimation and Tracking in Videos,
ECCV20(XX:36-52).
Springer DOI 2011
BibRef

Wang, C.[Can], Li, J.F.[Jie-Feng], Liu, W.T.[Wen-Tao], Qian, C.[Chen], Lu, C.[Cewu],
Hmor: Hierarchical Multi-person Ordinal Relations for Monocular Multi-person 3d Pose Estimation,
ECCV20(III:242-259).
Springer DOI 2012
BibRef

Wu, S.[Size], Jin, S.[Sheng], Liu, W.T.[Wen-Tao], Bai, L.[Lei], Qian, C.[Chen], Liu, D.[Dong], Ouyang, W.L.[Wan-Li],
Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images,
ICCV21(11128-11137)
IEEE DOI 2203
Location awareness, Geometry, Message passing, Computational modeling, Pose estimation, Gestures and body pose, 3D from multiview and other sensors BibRef

Jin, S.[Sheng], Liu, W.T.[Wen-Tao], Xie, E.Z.[En-Ze], Wang, W.H.[Wen-Hai], Qian, C.[Chen], Ouyang, W.L.[Wan-Li], Luo, P.[Ping],
Differentiable Hierarchical Graph Grouping for Multi-person Pose Estimation,
ECCV20(VII:718-734).
Springer DOI 2011
BibRef

Huang, C.Z.T.[Cong-Zhen-Tao], Jiang, S.[Shuai], Li, Y.[Yang], Zhang, Z.Y.[Zi-Yue], Traish, J.[Jason], Deng, C.[Chen], Ferguson, S.[Sam], Xu, R.Y.D.[Richard Yi Da],
End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation,
ECCV20(XXVIII:477-493).
Springer DOI 2011
BibRef

Fabbri, M., Lanzi, F., Calderara, S., Alletto, S., Cucchiara, R.,
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation,
CVPR20(7202-7211)
IEEE DOI 2008
Training, Space heating, Pose estimation, Image coding BibRef

Buizza, C., Fischer, T., Demiris, Y.,
Real-Time Multi-Person Pose Tracking using Data Assimilation,
WACV20(438-447)
IEEE DOI 2006
Tracking, Kalman filters, Pose estimation, Skeleton, Cameras, Data assimilation BibRef

Nie, X., Feng, J., Zhang, J., Yan, S.,
Single-Stage Multi-Person Pose Machines,
ICCV19(6950-6959)
IEEE DOI 2004
convolutional neural nets, image motion analysis, image representation, pose estimation, stereo image processing, Wrist BibRef

Moon, G., Chang, J.Y., Lee, K.M.,
Camera Distance-Aware Top-Down Approach for 3D Multi-Person Pose Estimation From a Single RGB Image,
ICCV19(10132-10141)
IEEE DOI 2004
cameras, image colour analysis, image sensors, learning (artificial intelligence), pose estimation, Heating systems BibRef

Li, J.F.[Jie-Feng], Wang, C.[Can], Zhu, H.[Hao], Mao, Y.[Yihuan], Fang, H.S.[Hao-Shu], Lu, C.W.[Ce-Wu],
CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark,
CVPR19(10855-10864).
IEEE DOI 2002
BibRef

Dabral, R., Gundavarapu, N.B., Mitra, R., Sharma, A., Ramakrishnan, G., Jain, A.,
Multi-Person 3D Human Pose Estimation from Monocular Images,
3DV19(405-414)
IEEE DOI 1806
Pose estimation, Pipelines, Cameras, Human Pose Estimation BibRef

Luo, D., Du, S., Ikenaga, T.,
End-to-End Feature Pyramid Network for Real-Time Multi-Person Pose Estimation,
MVA19(1-4)
DOI Link 1806
feature extraction, neural nets, object detection, pose estimation, video signal processing, Task analysis BibRef

Su, K.[Kai], Yu, D.D.[Dong-Dong], Xu, Z.Q.[Zhen-Qi], Geng, X.[Xin], Wang, C.H.[Chang-Hu],
Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information,
CVPR19(5667-5675).
IEEE DOI 2002
BibRef

Mehta, D., Sotnychenko, O., Mueller, F., Xu, W., Sridhar, S., Pons-Moll, G., Theobalt, C.,
Single-Shot Multi-person 3D Pose Estimation from Monocular RGB,
3DV18(120-130)
IEEE DOI 1812
cameras, image colour analysis, inference mechanisms, learning (artificial intelligence), pose estimation, bottom up BibRef

Yu, D.D.[Dong-Dong], Su, K.[Kai], Sun, J.[Jia], Wang, C.H.[Chang-Hu],
Multi-person Pose Estimation for Pose Tracking with Enhanced Cascaded Pyramid Network,
PoseTrack18(II:221-226).
Springer DOI 1905
BibRef

Chen, Y.L.[Yi-Lun], Wang, Z.C.[Zhi-Cheng], Peng, Y.X.[Yu-Xiang], Zhang, Z.Q.[Zhi-Qiang], Yu, G.[Gang], Sun, J.[Jian],
Cascaded Pyramid Network for Multi-person Pose Estimation,
CVPR18(7103-7112)
IEEE DOI 1812
Pose estimation, Detectors, Heating systems, Pipelines, Proposals, Training, Agriculture BibRef

Zanfir, A., Marinoiu, E., Sminchisescu, C.,
Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints,
CVPR18(2148-2157)
IEEE DOI 1812
Solid modeling, Shape, Semantics, Predictive models, Sensors BibRef

Wang, S.F.[Shao-Fei], Ihler, A.[Alexander], Kording, K.[Konrad], Yarkony, J.[Julian],
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation,
ECCV18(XIV: 677-692).
Springer DOI 1810
BibRef

Kocabas, M.[Muhammed], Karagoz, S.[Salih], Akbas, E.[Emre],
MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network,
ECCV18(XI: 437-453).
Springer DOI 1810
BibRef

Chen, X.[Xiao], Yang, G.[Genke],
Multi-Person Pose Estimation with LIMB Detection Heatmaps,
ICIP18(4078-4082)
IEEE DOI 1809
Heating systems, Pose estimation, Task analysis, Training, Bipartite graph, Detectors, Network architecture, Bottom-up approach BibRef

Varadarajan, S., Datta, P., Tickoo, O.,
A Greedy Part Assignment Algorithm for Real-Time Multi-person 2D Pose Estimation,
WACV18(418-426)
IEEE DOI 1806
image motion analysis, neural nets, pose estimation, candidate person clusters, greedy assignment, Pose estimation BibRef

Papandreou, G.[George], Zhu, T.[Tyler], Chen, L.C.[Liang-Chieh], Gidaris, S.[Spyros], Tompson, J.[Jonathan], Murphy, K.[Kevin],
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model,
ECCV18(XIV: 282-299).
Springer DOI 1810
BibRef

Papandreou, G.[George], Zhu, T.[Tyler], Kanazawa, N., Toshev, A., Tompson, J.[Jonathan], Bregler, C., Murphy, K.[Kevin],
Towards Accurate Multi-person Pose Estimation in the Wild,
CVPR17(3711-3719)
IEEE DOI 1711
Detectors, Heating systems, Measurement, Neural networks, Pose estimation, Proposals BibRef

Xia, F.T.[Fang-Ting], Wang, P.[Peng], Chen, X.J.[Xian-Jie], Yuille, A.L.[Alan L.],
Joint Multi-person Pose Estimation and Semantic Part Segmentation,
CVPR17(6080-6089)
IEEE DOI 1711
Complexity theory, Graphical models, Image segmentation, Pose estimation, Semantics, Shape BibRef

Chu, X., Yang, W., Ouyang, W., Ma, C., Yuille, A.L., Wang, X.,
Multi-context Attention for Human Pose Estimation,
CVPR17(5669-5678)
IEEE DOI 1711
Biological system modeling, Convolutional codes, Correlation, Pose estimation, Semantics, Visualization BibRef

Pishchulin, L.[Leonid], Insafutdinov, E.[Eldar], Tang, S., Andres, B.[Bjoern], Andriluka, M.[Mykhaylo], Gehler, P., Schiele, B.[Bernt],
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation,
CVPR16(4929-4937)
IEEE DOI 1612
BibRef

Insafutdinov, E.[Eldar], Pishchulin, L.[Leonid], Andres, B.[Bjoern], Andriluka, M.[Mykhaylo], Schiele, B.[Bernt],
DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model,
ECCV16(VI: 34-50).
Springer DOI 1611
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Human Body Segmentation, Posture, Pose Related .