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 …

Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Human pose is typically represented by a coordinate vector of body joints or their heatmap
embeddings. While easy for data processing, unrealistic pose estimates are admitted due to …

Recent transformer-based solutions have shown great success in 3D human pose
estimation. Nevertheless, to calculate the joint-to-joint affinity matrix, the computational cost …

The topic of multi-person pose estimation has beenlargely improved recently, especially with
the developmentof convolutional neural network. However, there still exista lot of …

We present a box-free bottom-up approach for the tasks of pose estimation and instance
segmentation of people in multi-person images using an efficient single-shot model. The …

We present an approach to efficiently detect the 2D pose of multiple people in an image. The
approach uses a nonparametric representation, which we refer to as Part Affinity Fields …

We present the first real-time method to capture the full global 3D skeletal pose of a human
in a stable, temporally consistent manner using a single RGB camera. Our method combines …

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 …

Detecting actions in untrimmed videos is an important yet challenging task. In this paper, we
present the structured segment network (SSN), a novel framework which models the …