21.4.1.1 Multi-Person Human Pose Desicriptions

Chapter Contents (Back)
Human Pose. Multi-Person. Pose.

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, Three-dimensional displays, Two dimensional displays, 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

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.[Riwei], Lu, Y.C.[Yong-Chen], Wen, L.[Linfu],
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


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

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

Nie, X.C.[Xue-Cheng], Feng, J.[Jiashi], 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

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., Yang, G.,
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

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

Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.,
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields,
CVPR17(1302-1310)
IEEE DOI 1711
Benchmark testing, Computer architecture, Detectors, Pose estimation, Runtime, Training, 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., Wang, P., Chen, X., Yuille, A.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
Articulated Human Pose Desicriptions .


Last update:Jun 19, 2019 at 09:55:06