22.4.1.2 Human Posture, or Human Pose, Transformers, ViT

Chapter Contents (Back)
Human Pose. Human Posture. Body Pose. Posture. Pose. Transformers. Vision Transformers.

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

Xu, Y.F.[Yu-Fei], Zhang, J.[Jing], Zhang, Q.M.[Qi-Ming], Tao, D.C.[Da-Cheng],
ViTPose++: Vision Transformer for Generic Body Pose Estimation,
PAMI(46), No. 2, February 2024, pp. 1212-1230.
IEEE DOI 2401
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

Wang, Y.J.[You-Jie], Luo, Y.M.[Yan-Min], Bai, G.H.[Gui-Hu], Guo, J.M.[Jing-Ming],
UformPose: A U-Shaped Hierarchical Multi-Scale Keypoint-Aware Framework for Human Pose Estimation,
CirSysVideo(33), No. 4, April 2023, pp. 1697-1709.
IEEE DOI 2304
Transformers, Feature extraction, Pose estimation, Task analysis, Heating systems, Visualization, shared feature pyramid stem BibRef

Li, W.H.[Wen-Hao], Liu, H.[Hong], Tang, H.[Hao], Wang, P.[Pichao],
Multi-hypothesis representation learning for transformer-based 3D human pose estimation,
PR(141), 2023, pp. 109631.
Elsevier DOI 2306
3D Human pose estimation, Transformer, Multi-Hypothesis, Self-Hypothesis, Cross-Hypothesis 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

Li, S.H.[Shao-Hua], Zhang, H.X.[Hai-Xiang], Ma, H.J.[Han-Jie], Feng, J.[Jie], Jiang, M.F.[Ming-Feng],
CSIT: Channel Spatial Integrated Transformer for human pose estimation,
IET-IPR(17), No. 10, 2023, pp. 3002-3011.
DOI Link 2308
Gaussian distribution, neural net architecture, object detection, pose estimation BibRef

Mo, S.[Shentong], Xin, M.[Miao],
BSTG-Trans: A Bayesian Spatial-Temporal Graph Transformer for Long-Term Pose Forecasting,
MultMed(26), 2024, pp. 673-686.
IEEE DOI 2402
Forecasting, Uncertainty, Transformers, Predictive models, Bayes methods, Task analysis, Decoding, Long-term forecasting, uncertainty estimation BibRef

Zhong, Y.H.[Yuan-Hong], Yang, G.X.[Guang-Xia], Zhong, D.[Daidi], Yang, X.[Xun], Wang, S.S.[Shan-Shan],
Frame-Padded Multiscale Transformer for Monocular 3D Human Pose Estimation,
MultMed(26), 2024, pp. 6191-6201.
IEEE DOI 2404
Transformers, Feature extraction, Pose estimation, Pipelines, Correlation, Image restoration, monocular BibRef

Xu, X.Y.[Xiang-Yu], Liu, L.J.[Li-Juan], Yan, S.C.[Shui-Cheng],
SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose Estimation,
PAMI(46), No. 5, May 2024, pp. 3275-3289.
IEEE DOI 2404
Transformers, Shape, Pose estimation, Image reconstruction, Complexity theory, Task analysis, transformer BibRef

Zhou, L.[Lu], Chen, Y.Y.[Ying-Ying], Wang, J.Q.[Jin-Qiao],
SlowFastFormer for 3D human pose estimation,
CVIU(243), 2024, pp. 103992.
Elsevier DOI 2405
SlowFastFormer, Transformer, Blending, 3D human pose estimation, Hierarchical supervision 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

Chen, Z.M.[Zhang-Meng], Dai, J.[Ju], Bai, J.X.[Jun-Xuan], Pan, J.J.[Jun-Jun],
DGFormer: Dynamic graph transformer for 3D human pose estimation,
PR(152), 2024, pp. 110446.
Elsevier DOI Code:
WWW Link. 2405
3D human pose estimation, Transformer, Graph 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

Sun, Y.[Yuran], Dougherty, A.W.[Alan William], Zhang, Z.Y.[Zhuo-Ying], Choi, Y.K.[Yi King], Wu, C.[Chuan],
MixSynthFormer: A Transformer Encoder-like Structure with Mixed Synthetic Self-attention for Efficient Human Pose Estimation,
ICCV23(14838-14847)
IEEE DOI Code:
WWW Link. 2401
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

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

Zhang, B.W.[Bo-Wei], 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

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

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

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

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

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

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

Chapter on Face Recognition, Human Pose, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Multi-Person Human Pose Desicriptions .


Last update:Mar 12, 2025 at 14:27:03