21.4.1.2 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, 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.[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

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.[Lipeng], 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.[Shaodi], 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


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-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss,
ECV22(2636-2645)
IEEE DOI 2210
Training, Measurement, Heating systems, Pose estimation, 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

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

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.[Zekun], 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.[Cong-Zhentao], Jiang, S.[Shuai], Li, Y.[Yang], Zhang, Z.[Ziyue], 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

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

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

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

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

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 .


Last update:Nov 2, 2022 at 12:00:26