Pose guided structured region ensemble network for cascaded hand pose estimation
Hand pose estimation from single depth images is an essential topic in computer vision and
human computer interaction. Despite recent advancements in this area promoted by …
human computer interaction. Despite recent advancements in this area promoted by …
Spatial-temporal attention res-TCN for skeleton-based dynamic hand gesture recognition
Dynamic hand gesture recognition is a crucial yet challenging task in computer vision. The
key of this task lies in an effective extraction of discriminative spatial and temporal features to …
key of this task lies in an effective extraction of discriminative spatial and temporal features to …
Region ensemble network: Improving convolutional network for hand pose estimation
Hand pose estimation from monocular depth images is an important and challenging
problem for human-computer interaction. Recently deep convolutional networks (ConvNet) …
problem for human-computer interaction. Recently deep convolutional networks (ConvNet) …
Review of Segmentation Methods for Coastline Detection in SAR Images
M Ciecholewski - Archives of Computational Methods in Engineering, 2024 - Springer
Synthetic aperture radar (SAR) images acquired by airborne sensors or remote sensing
satellites contain the necessary information that can be used to investigate various objects of …
satellites contain the necessary information that can be used to investigate various objects of …
Motion feature augmented recurrent neural network for skeleton-based dynamic hand gesture recognition
Dynamic hand gesture recognition has attracted increasing interests because of its
importance for human computer interaction. In this paper, we propose a new motion feature …
importance for human computer interaction. In this paper, we propose a new motion feature …
Line assisted light field triangulation and stereo matching
Light fields are image-based representations that use densely sampled rays as a scene
description. In this paper, we explore geometric structures of 3D lines in ray space for …
description. In this paper, we explore geometric structures of 3D lines in ray space for …
Mfa-net: Motion feature augmented network for dynamic hand gesture recognition from skeletal data
Dynamic hand gesture recognition has attracted increasing attention because of its
importance for human–computer interaction. In this paper, we propose a novel motion …
importance for human–computer interaction. In this paper, we propose a novel motion …
Region ensemble network: Towards good practices for deep 3D hand pose estimation
Abstract 3D hand pose estimation is an important and challenging problem for human-
computer interaction. Recently convolutional networks (ConvNet) with sophisticated design …
computer interaction. Recently convolutional networks (ConvNet) with sophisticated design …
Towards good practices for deep 3d hand pose estimation
3D hand pose estimation from single depth image is an important and challenging problem
for human-computer interaction. Recently deep convolutional networks (ConvNet) with …
for human-computer interaction. Recently deep convolutional networks (ConvNet) with …
A novel hierarchical framework for human action recognition
In this paper, we propose a novel two-level hierarchical framework for three-dimensional
(3D) skeleton-based action recognition, in order to tackle the challenges of high intra-class …
(3D) skeleton-based action recognition, in order to tackle the challenges of high intra-class …