May 12, 2017 · We employ a series of residual auto-encoders to produce multiple predictions which are then combined to provide a heatmap prediction of body ...

We employ a series of residual auto-encoders to produce multiple predictions which are then combined to provide a heatmap prediction of body joints. In this ...

This work focuses on articulated human pose estimation in scenes with a single person by employing a series of residual auto-encoders to produce multiple ...

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Pose estimation is the task of predicting the pose of an object in an image or in a sequence of images. Here, we focus on articulated human pose estimation ...

Page with all metadata related to the publication "Human Pose Estimation by a Series of Residual Auto-Encoders."

Aug 9, 2020 · We develop a technique for generating smooth and accurate 3D human pose and motion estimates from RGB video sequences.

Human pose forecasting is the task of detecting and predicting future human poses. ( Image credit: [EgoPose](https://github.com/Khrylx/EgoPose) )

For pose prediction, we focus on articulated relations between body joints. We employ a series of residual auto-encoders to produce multiple predictions which ...

The thesis proposes an unsupervised representation learning method to predict 3D human pose from a 2D skeleton via a VAEGAN (Variational Autoencoder ...