Estimation of the human pose from a monocular camera has been an emerging research
topic in the computer vision community with many applications. Recently, benefiting from the …

Human pose estimation aims at predicting the poses of human body parts in images or
videos. Since pose motions are often driven by some specific human actions, knowing the …

Vision-based monocular human pose estimation, as one of the most fundamental and
challenging problems in computer vision, aims to obtain posture of the human body from …

State-of-the-art human pose estimation methods are based on heat map representation. In
spite of the good performance, the representation has a few issues in nature, such as non …

Action recognition and human pose estimation are closely related but both problems are
generally handled as distinct tasks in the literature. In this work, we propose a multitask …

In this paper, we propose to incorporate convolutional neural networks with a multi-context
attention mechanism into an end-to-end framework for human pose estimation. We adopt …

Existing systems for video-based pose estimation and tracking struggle to perform well on
realistic videos with multiple people and often fail to output body-pose trajectories consistent …

Articulated human pose estimation is a fundamental yet challenging task in computer vision.
The difficulty is particularly pronounced in scale variations of human body parts when …

Regression based methods are not performing as well as detection based methods for
human pose estimation. A central problem is that the structural information in the pose is not …

The plant disease classification based on using digital images is very challenging. In the last
decade, machine learning techniques and plant images classification tools such as deep …