Three-dimensional skeleton-based action recognition (3D SAR) has gained important
attention within the computer vision community, owing to the inherent advantages offered by …

As robots have become more pervasive in our daily life, natural human-robot interaction
(HRI) has had a positive impact on the development of robotics. Thus, there has been …

Inspired by the strong ties between vision and language, the two intimate human sensing
and communication modalities, our paper aims to explore the generation of 3D human full …

We propose a method for annotating images of a hand manipulating an object with the 3D
poses of both the hand and the object, together with a dataset created using this method …

Estimating 3D hand and object pose from a single image is an extremely challenging
problem: hands and objects are often self-occluded during interactions, and the 3D …

Most of the existing deep learning-based methods for 3D hand and human pose estimation
from a single depth map are based on a common framework that takes a 2D depth map and …

Action recognition is a relatively established task, where given an input sequence of human
motion, the goal is to predict its action category. This paper, on the other hand, considers a …

Abstract Convolutional Neural Network (CNN) has shown promising results for 3D hand
pose estimation in depth images. Different from existing CNN-based hand pose estimation …

DeepPrior is a simple approach based on Deep Learning that predicts the joint 3D locations
of a hand given a depth map. Since its publication early 2015, it has been outperformed by …

For 3D hand and body pose estimation task in depth image, a novel anchor-based approach
termed Anchor-to-Joint regression network (A2J) with the end-to-end learning ability is …