In this paper, we present a generic approach for pose correction in videos using sequence learning that makes minimal assumptions on the sequence structure. The ...
[17] used a sequence-to-sequence learning approach like bidirectional LSTMs and RNNs, that could potentially rectify faulty body movements from Youtube videos.
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Sequence-to-Sequence Learning for Human Pose Correction in ...
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Sequence-to-Sequence Learning for Human Pose Correction in Videos. S. Swetha, V. Balasubramanian, C. V. Jawahar. 2017, Asian Conference on Pattern Recognition.
- Sequence-to-Sequence Learning for Human Pose Correction in Videos 4th Asian Conference on Pattern Recognition (ACPR 2017), Nanjing, China, 2017. [PDF].
We propose a semi-supervised self-training method for fine-tuning human pose estimations in videos that provides accurate estimations even for complex ...
Our model jointly learns a feature embedding for motion modes (that the motion sequence can be reconstructed from) and a feature transformation that represents ...
Dec 2, 2022 · This paper proposes using datasets intended for human-pose estimation as a source for transfer learning; specifically, it deploys sequences of ...
Aug 8, 2024 · Our research introduces a new Transformer-based deep learning model for 2D human pose estimation in complex backgrounds. The model includes ...
In this paper, we focus on the human motion prediction task, using learning based meth- ods from motion capture data. Recently, along with the success of deep ...
This project is a demonstration of one of the implementations of human pose detection in fitness industry using deep learning concepts and deep neural networks.