21.4.1.4 Human Mesh Descriptions

Chapter Contents (Back)
Human Shape. Mesh. Human Mesh.


Lee, G.H.[Gun-Hee], Lee, S.W.[Seong-Whan],
Uncertainty-Aware Human Mesh Recovery from Video by Learning Part-Based 3D Dynamics,
ICCV21(12355-12364)
IEEE DOI 2203
Uncertainty, Dynamics, Estimation, Reconstruction algorithms, Robustness, Encoding, 3D from a single image and shape-from-x, Gestures and body pose BibRef

Kolotouros, N.[Nikos], Pavlakos, G.[Georgios], Jayaraman, D.[Dinesh], Daniilidis, K.[Kostas],
Probabilistic Modeling for Human Mesh Recovery,
ICCV21(11585-11594)
IEEE DOI 2203
Uncertainty, Computational modeling, Fitting, Estimation, Predictive models, Gestures and body pose, 3D from a single image and shape-from-x BibRef

Yu, Z.[Zhenbo], Wang, J.J.[Jun-Jie], Xu, J.W.[Jing-Wei], Ni, B.B.[Bing-Bing], Zhao, C.L.[Cheng-Long], Wang, M.[Minsi], Zhang, W.J.[Wen-Jun],
Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery,
ICCV21(8599-8609)
IEEE DOI 2203
Shape, Robot kinematics, Pose estimation, Focusing, Kinematics, Skeleton, Transfer/Low-shot/Semi/Unsupervised Learning, Gestures and body pose BibRef

Li, R.[Runze], Karanam, S.[Srikrishna], Li, R.[Ren], Chen, T.[Terrence], Bhanu, B.[Bir], Wu, Z.[Ziyan],
Learning Local Recurrent Models for Human Mesh Recovery,
3DV21(555-564)
IEEE DOI 2201
Measurement, Legged locomotion, Solid modeling, Dynamics, Estimation, Kinematics, human mesh recovery BibRef

Huang, B.Z.[Bu-Zhen], Shu, Y.[Yuan], Zhang, T.S.[Tian-Shu], Wang, Y.G.[Yan-Gang],
Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View Cameras,
3DV21(710-720)
IEEE DOI 2201
Geometry, Semantics, Dynamics, Cameras, Calibration, Noise measurement, Human mesh recovery, Extrinsic camera calibration, Motion prior BibRef

Lin, K.[Kevin], Wang, L.[Lijuan], Jin, Y.[Ying], Liu, Z.C.[Zi-Cheng], Sun, M.T.[Ming-Ting],
Learning Nonparametric Human Mesh Reconstruction from A Single Image Without Ground Truth Meshes,
ICIP21(964-968)
IEEE DOI 2201
Training, Heating systems, Image segmentation, Laplace equations, Pose estimation, Human mesh reconstruction, graph laplacian BibRef

Guan, S.[Shanyan], Xu, J.W.[Jing-Wei], Wang, Y.[Yunbo], Ni, B.B.[Bing-Bing], Yang, X.K.[Xiao-Kang],
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction,
CVPR21(10467-10476)
IEEE DOI 2111
Training, Adaptation models, Benchmark testing, Reconstruction algorithms, Cameras, Pattern recognition BibRef

Zhang, H.W.[Hong-Wen], Tian, Y.T.[Ya-Ting], Zhou, X.C.[Xin-Chi], Ouyang, W.L.[Wan-Li], Liu, Y.B.[Ye-Bin], Wang, L.M.[Li-Min], Sun, Z.A.[Zhen-An],
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop,
ICCV21(11426-11436)
IEEE DOI 2203
Feedback loop, Shape, Computer network reliability, Neural networks, Feature extraction, Gestures and body pose, 3D from a single image and shape-from-x BibRef

Iqbal, U.[Umar], Xie, K.[Kevin], Guo, Y.[Yunrong], Kautz, J.[Jan], Molchanov, P.[Pavlo],
KAMA: 3D Keypoint Aware Body Mesh Articulation,
3DV21(689-699)
IEEE DOI 2201
Solid modeling, Analytical models, Shape, Annotations, Biological system modeling, Fitting, motion capture BibRef

Zhang, J.F.[Jian-Feng], Yu, D.D.[Dong-Dong], Liew, J.H.[Jun Hao], Nie, X.C.[Xue-Cheng], Feng, J.S.[Jia-Shi],
Body Meshes as Points,
CVPR21(546-556)
IEEE DOI 2111
Location awareness, Visualization, Pipelines, Pose estimation, Benchmark testing, Robustness BibRef

Zhou, B.[Boyao], Franco, J.S.[Jean-Sébastien], Bogo, F.[Federica], Tekin, B.[Bugra], Boyer, E.[Edmond],
Reconstructing Human Body Mesh from Point Clouds by Adversarial Gp Network,
ACCV20(I:123-139).
Springer DOI 2103
BibRef

Moon, G.[Gyeongsik], Lee, K.M.[Kyoung Mu],
I2l-meshnet: Image-to-lixel Prediction Network for Accurate 3d Human Pose and Mesh Estimation from a Single RGB Image,
ECCV20(VII:752-768).
Springer DOI 2011
BibRef

Choi, H.[Hongsuk], Moon, G.[Gyeongsik], Lee, K.M.[Kyoung Mu],
Pose2mesh: Graph Convolutional Network for 3d Human Pose and Mesh Recovery from a 2d Human Pose,
ECCV20(VII:769-787).
Springer DOI 2011
BibRef

Kundu, J.N.[Jogendra Nath], Rakesh, M.[Mugalodi], Jampani, V.[Varun], Venkatesh, R.M.[Rahul Mysore], Babu, R.V.[R. Venkatesh],
Appearance Consensus Driven Self-supervised Human Mesh Recovery,
ECCV20(I:794-812).
Springer DOI 2011
BibRef

Zeng, W., Ouyang, W., Luo, P., Liu, W., Wang, X.,
3D Human Mesh Regression With Dense Correspondence,
CVPR20(7052-7061)
IEEE DOI 2008
Image reconstruction, Solid modeling, Biological system modeling, Estimation, Feature extraction, Surface reconstruction BibRef

Zhao, M., Liu, Y., Raghu, A., Zhao, H., Li, T., Torralba, A., Katabi, D.,
Through-Wall Human Mesh Recovery Using Radio Signals,
ICCV19(10112-10121)
IEEE DOI 2004
avatars, learning (artificial intelligence), mesh generation, neural nets, wireless LAN, baggy clothes, bad lighting conditions, Cameras BibRef

Zhao, M., Li, T., Alsheikh, M.A., Tian, Y., Zhao, H., Torralba, A., Katabi, D.,
Through-Wall Human Pose Estimation Using Radio Signals,
CVPR18(7356-7365)
IEEE DOI 1812
RF signals, Wireless communication, Wireless sensor networks, Radio frequency, Visualization, Pose estimation, Heating systems BibRef

Zhu, H.[Hao], Zuo, X.[Xinxin], 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

Pavlakos, G.[Georgios], Kolotouros, N.[Nikos], Daniilidis, K.[Kostas],
TexturePose: Supervising Human Mesh Estimation With Texture Consistency,
ICCV19(803-812)
IEEE DOI 2004
Code, Mesh.
WWW Link. BibRef
Earlier: A2, A1, A3:
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction,
CVPR19(4496-4505).
IEEE DOI 2002
cameras, image sequences, image texture, pose estimation, video signal processing, natural images, network architecture, Parametric statistics BibRef

Sun, Y.[Yu], Ye, Y.[Yun], Liu, W.[Wu], Gao, W.P.[Wen-Peng], Fu, Y.L.[Yi-Li], Mei, T.[Tao],
Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation,
ICCV19(5348-5357)
IEEE DOI 2004
cameras, image motion analysis, image sensors, image sequences, learning (artificial intelligence), pose estimation, Couplings BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Human Body Shape .


Last update:Aug 14, 2022 at 21:20:19