A survey on 3d skeleton-based action recognition using learning method
Three-dimensional skeleton-based action recognition (3D SAR) has gained important
attention within the computer vision community, owing to the inherent advantages offered by …
attention within the computer vision community, owing to the inherent advantages offered by …
Video stabilization: A comprehensive survey
Y Wang, Q Huang, C Jiang, J Liu, M Shang, Z Miao - Neurocomputing, 2023 - Elsevier
Video stabilization is one of the most fundamental and challenging tasks in video
processing, which can be widely applied in many areas, such as video surveillance …
processing, which can be widely applied in many areas, such as video surveillance …
[PDF][PDF] Write-a-video: computational video montage from themed text.
Intelligent tools that assist inexperienced users in creative processes are becoming more
abundant: for image editing, for drawing and even for 3D modeling and fabrication. One …
abundant: for image editing, for drawing and even for 3D modeling and fabrication. One …
Livestock detection in aerial images using a fully convolutional network
L Han, P Tao, RR Martin - Computational Visual Media, 2019 - Springer
In order to accurately count the number of animals grazing on grassland, we present a
livestock detection algorithm using modified versions of U-net and Google Inception-v4 net …
livestock detection algorithm using modified versions of U-net and Google Inception-v4 net …
Deep multimodality learning for UAV video aesthetic quality assessment
Despite the growing number of unmanned aerial vehicles (UAVs) and aerial videos, there is
a paucity of studies focusing on the aesthetics of aerial videos that can provide valuable …
a paucity of studies focusing on the aesthetics of aerial videos that can provide valuable …
Recurrent generative adversarial network for face completion
Most recently-proposed face completion algorithms use high-level features extracted from
convolutional neural networks (CNNs) to recover semantic texture content. Although the …
convolutional neural networks (CNNs) to recover semantic texture content. Although the …
No-reference synthetic image quality assessment with convolutional neural network and local image saliency
Depth-image-based rendering (DIBR) is widely used in 3DTV, free-viewpoint video, and
interactive 3D graphics applications. Typically, synthetic images generated by DIBR-based …
interactive 3D graphics applications. Typically, synthetic images generated by DIBR-based …
Kernel-blending connection approximated by a neural network for image classification
X Liu, Y Zhang, F Bao, K Shao, Z Sun… - Computational Visual …, 2020 - Springer
This paper proposes a kernel-blending connection approximated by a neural network
(KBNN) for image classification. A kernel mapping connection structure, guaranteed by the …
(KBNN) for image classification. A kernel mapping connection structure, guaranteed by the …
Deep online video stabilization using imu sensors
In this paper, we propose a deep learning based sensor-driven method for online video
stabilization. This method utilizes the Euler angles and acceleration values estimated from …
stabilization. This method utilizes the Euler angles and acceleration values estimated from …
Snapshot high dynamic range imaging via sparse representations and feature learning
K Fotiadou, G Tsagkatakis… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Bracketed High Dynamic Range (HDR) imaging architectures acquire a sequence of Low
Dynamic Range (LDR) images in order to either produce a HDR image or an “optimally” …
Dynamic Range (LDR) images in order to either produce a HDR image or an “optimally” …