MW Mathis, A Mathis - Current opinion in neurobiology, 2020 - Elsevier
Highlights•Deep neural networks are shattering performance benchmarks in computer vision for various tasks.•Using modern deep learning approaches (DNNs) in the lab is a …
We propose a novel neural representation for videos (NeRV) which encodes videos in neural networks. Unlike conventional representations that treat videos as frame sequences …
Z Hu, G Lu, D Xu - … of the IEEE/CVF Conference on …, 2021 - openaccess.thecvf.com
Learning based video compression attracts increasing attention in the past few years. The previous hybrid coding approaches rely on pixel space operations to reduce spatial and …
This paper provides an overview of our open Ultra Video Group (UVG) dataset that is composed of 16 versatile 4K (3840× 2160) test video sequences. These natural sequences …
Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information. In this paper, taking …
L Liu, H Li, M Gruteser - The 25th annual international conference on …, 2019 - dl.acm.org
Most existing Augmented Reality (AR) and Mixed Reality (MR) systems are able to understand the 3D geometry of the surroundings but lack the ability to detect and classify …
Z Hu, G Lu, J Guo, S Liu, W Jiang… - Proceedings of the …, 2022 - openaccess.thecvf.com
The previous deep video compression approaches only use the single scale motion compensation strategy and rarely adopt the mode prediction technique from the traditional …
S Ma, X Zhang, C Jia, Z Zhao, S Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, the image and video coding technologies have advanced by leaps and bounds. However, due to the popularization of image and video acquisition devices, the …
In this paper, we design a new class of high-efficiency deep joint source-channel coding methods to achieve end-to-end video transmission over wireless channels. The proposed …