… We present a novel cascaded pose regression approach for 3D articulated objects. It provides
a new feature parameterization for better 3D invariance and a hierarchical principle that …

… We present a fast and accurate algorithm for computing the 2D pose of objects in images
called cascaded pose regression (CPR). CPR progressively refines a loosely specified initial …

… the refined hand pose. The final hand pose is obtained by an iterative cascaded method.
Comprehensive experiments on public hand pose datasets demonstrate that our proposed …

… multiple palm stages to refine the hand pose. In each recurrent iteration, … hand joints by
iterative pose regression and cascaded pose-guided 3D alignment, and we adopt the hand pose …

… ambiguities caused by the selfocclusion common in hand poses. At the core of the problem
… pixel-wise detection and dense regression method for hand pose estimation. Our proposed …

… hand pose regression model can be used as the regressor module in our framework and
further improve the pose … In this paper, we use holistic regression algorithm as our hand pose …

… In this paper, we have presented Pose Regression TRansformer (PRTR), a new design for
regression-based multiperson pose recognition method based on the Transformer structure […

… information and the joint position. Inspired by the cascaded hand pose regression method
[22] and feature points regression of human face [6], in this paper, we assume that the more …

… Essentially, segmentation and pose estimation is inherently a chicken-and-egg problem.
To … of hand pose detection from in-the-wild color images, we propose a cascaded mask-pose …

… the general cascade regression framework. One of most widely used models is liner regression
… In this work, we use linear model in general cascade regression framework for landmark …