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A 3D motion image recognition model based on 3D CNN-GRU model and attention mechanism
C Cheng, H Xu - Image and Vision Computing, 2024 - Elsevier
Moving image recognition has become a well-explored problem in computer vision.
However, it is difficult for the traditional convolutional neural network (CNN) model to …
However, it is difficult for the traditional convolutional neural network (CNN) model to …
SkelFormer: Markerless 3D pose and shape estimation using skeletal transformers
We introduce SkelFormer, a novel markerless motion capture pipeline for multi-view human
pose and shape estimation. Our method first uses off-the-shelf 2D keypoint estimators, pre …
pose and shape estimation. Our method first uses off-the-shelf 2D keypoint estimators, pre …
KBody: Towards general, robust, and aligned monocular whole-body estimation
KBody is a method for fitting a low-dimensional body model to an image. It follows a predict-
and-optimize approach, relying on data-driven model estimates for the constraints that will …
and-optimize approach, relying on data-driven model estimates for the constraints that will …
KBody: Balanced monocular whole-body estimation
KBody is a method for fitting a low-dimensional body model to an image. It follows a predict-
and-optimize approach, relying on data-driven model estimates for the constraints that will …
and-optimize approach, relying on data-driven model estimates for the constraints that will …