Results 21 to 30 of about 18,146 (218)
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation
CoRR, 2023 As 3D human pose estimation can now be achieved with very high accuracy in the supervised learning scenario, tackling the case where 3D pose annotations are not available has received increasing attention. In particular, several methods have proposed to learn image representations in a self-supervised fashion so as to disentangle the appearance ...
Krishna Kanth Nakka, Mathieu Salzmann
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On the Role of Depth Predictions for 3D Human Pose Estimation
SSRN Electronic Journal, 2022 Following the successful application of deep convolutional neural networks to 2d human pose estimation, the next logical problem to solve is 3d human pose estimation from monocular images. While previous solutions have shown some success, they do not fully utilize the depth information from the 2d inputs.
Alec Diaz-Arias +3 more
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Scene-Aware Egocentric 3D Human Pose Estimation
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Egocentric 3D human pose estimation with a single head-mounted fisheye camera has recently attracted attention due to its numerous applications in virtual and augmented reality. Existing methods still struggle in challenging poses where the human body is highly occluded or is closely interacting with the scene. To address this issue, we propose a scene-
Jian Wang 0042 +5 more
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Estimation of 3D human hand poses with structured pose prior [PDF]
IET Computer Vision, 2019 Here, the authors present multistage estimation model embedding with structured pose prior (SPP), a novel coarse‐to‐fine framework for real‐time 3D hand estimation from single depth image. Authors’ main contributions can be summarised as follows: (i) The authors proposed SPP to enforce constraints of canonical hand pose instead of original hand pose ...
Fangtai Guo +3 more
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Posegu: 3d Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning
SSRN Electronic Journal, 2022 3D pose estimation has recently gained substantial interests in computer vision domain. Existing 3D pose estimation methods have a strong reliance on large size well-annotated 3D pose datasets, and they suffer poor model generalization on unseen poses due to limited diversity of 3D poses in training sets.
Shannan Guan +3 more
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PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 CVPR 2021 Oral Paper, code available: https://github.com/jfzhang95 ...
Kehong Gong, Jianfeng Zhang, Jiashi Feng
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3D human pose estimation with siamese equivariant embedding [PDF]
Neurocomputing, 2019 Accepted to ...
Márton Véges +2 more
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3D Human Pose Estimation With 2D Marginal Heatmaps [PDF]
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 Accepted in WACV ...
Aiden Nibali +3 more
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Distributed Human 3D Pose Estimation and Action Recognition [PDF]
2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019 In this paper, we propose a distributed solution for3D human pose estimation using a RGBD camera network. Thekey feature of our method is a dynamic hybrid consensus filter(DHCF) is introduced to fuse the multiple view informationof cameras. In contrast to the centralized fusion solution,the DHCF algorithm can be used in a distributed network,which ...
Guoliang Liu +3 more
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Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source