With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual
(RGB) sensing has become available for widespread use. The complementary nature of the …

Spatiotemporal human representation based on 3D visual perception data is a rapidly
growing research area. Representations can be broadly categorized into two groups …

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 …

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 …

The objective of this work is human pose estimation in videos, where multiple frames are
available. We investigate a ConvNet architecture that is able to benefit from temporal context …

The aim of single image super-resolution is to reconstruct a high-resolution image from a
single low-resolution input. Although the task is ill-posed it can be seen as finding a non …

This work addresses the problem of estimating the 6D Pose of specific objects from a single
RGB-D image. We present a flexible approach that can deal with generic objects, both …

The recently developed depth imaging technologies have provided new directions for
human activity recognition (HAR) without attaching optical markers or any other motion …

In this paper, we propose a deep convolutional neural network for 3D human pose
estimation from monocular images. We train the network using two strategies:(1) a multi-task …

We present a new real-time hand tracking system based on a single depth camera. The
system can accurately reconstruct complex hand poses across a variety of subjects. It also …