Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …

Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …

Inferring human pose from a monocular RGB image remains an interesting field of research
in computer vision. It serves as a fundamental key for many real-world applications …

Abstract We present Multi-view Pose transformer (MvP) for estimating multi-person 3D poses
from multi-view images. Instead of estimating 3D joint locations from costly volumetric …

Human action recognition and posture prediction aim to recognize and predict respectively
the action and postures of persons in videos. They are both active research topics in …

Existing approaches for multi-view multi-person 3D pose estimation explicitly establish cross-
view correspondences to group 2D pose detections from multiple camera views and solve …

In this paper we contribute a simple yet effective approach for estimating 3D poses of
multiple people from multi-view images. Our proposed coarse-to-fine pipeline first …

Abstract Human Pose Estimation from images allows the recognition of key daily activity
patterns in Smart Environments. Current State-of-the-art (SOTA) 3D pose estimators are built …

We present Multi-view Pose transformer (MvP) for estimating multi-person 3D poses from
multi-view images. Instead of estimating 3D joint locations from costly volumetric …

Automated agricultural applications, ie, fruit picking require spatial information about crops
and, especially, their fruits. In this paper, we present a novel deep reinforcement learning …