Apr 19, 2022 · Abstract: Estimating 3D human body shapes and poses from videos is a challenging computer vision task. The intrinsic temporal information ...

Jan 17, 2024 · In this paper, we propose a novel framework that can measure the correlations amongst adjacent frames in the form of an estimated confidence ...

In this paper, we specifically propose a confidence-aware loss function that is able to estimate the confidence level of the model outputs. C. Temporal Feature ...

3D Human Pose and Shape Reconstruction from Videos via Confidence-Aware Temporal Feature Aggregation. H Zhang, Y Meng, Y Zhao, X Qian, Y Qiao, X Yang, Y Zheng.

Shape-aware weakly/semi-supervised optic disc and cup ... 3d human pose and shape reconstruction from videos via confidence-aware temporal feature aggregation.

Feb 29, 2024 · By analyzing this information, deep learning models can extract motion features and spatio-temporal relationships, thereby effectively improving ...

Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video [project]; Occluded Human Mesh Recovery [pdf]; Out-of ...

3D Human Pose and Shape Reconstruction from Videos via Confidence-Aware Temporal Feature Aggregation. ... 3D Dense Face Alignment with Fused Features by ...

3D Human Pose and Shape Reconstruction From Videos via Confidence-Aware Temporal Feature Aggregation ... Reconstruct 3D Human Pose and Shape via Model-Fitting in ...

Missing: Confidence- Aggregation.