Results 71 to 80 of about 1,087,010 (389)

Dynamic gesture recognition based on feature fusion network and variant ConvLSTM

IET Image Processing, 2020
Gesture is a natural form of human communication, and it is of great significance in human–computer interaction. In the dynamic gesture recognition method based on deep learning, the key is to obtain comprehensive gesture feature information.
Yuqing Peng, Huifang Tao, Wei Li, Hongtao Yuan, Tiejun Li   +4 more
doaj   +1 more source

Spectral unmixing based spatiotemporal downscaling fusion approach

International Journal of Applied Earth Observation and Geoinformation, 2020
Time-series remote sensing data are important in monitoring land surface dynamics. Due to technical limitations, satellite sensors have a trade-off between temporal, spatial and spectral resolutions when acquiring remote sensing images. In order to obtain remote sensing images with high spatial resolution and high temporal frequency, spatiotemporal ...
Wenjie Liu, Wei Huang, Wei Huang, Songnian Li, Yongnian Zeng   +4 more
openaire   +3 more sources

Four-phase CT lesion recognition based on multi-phase information fusion framework and spatiotemporal prediction module. [PDF]

Biomed Eng Online
Multiphase information fusion and spatiotemporal feature modeling play a crucial role in the task of four-phase CT lesion recognition. In this paper, we propose a four-phase CT lesion recognition algorithm based on multiphase information fusion framework
Qiao S, Xue M, Zuo Y, Zheng J, Jiang H, Zeng X, Peng D.   +6 more
europepmc   +2 more sources

Appearance-and-Relation Networks for Video Classification

, 2018
Spatiotemporal feature learning in videos is a fundamental problem in computer vision. This paper presents a new architecture, termed as Appearance-and-Relation Network (ARTNet), to learn video representation in an end-to-end manner.
Li, Wei, Li, Wen, Van Gool, Luc, Wang, Limin   +3 more
core   +1 more source

On the Potential of Generic Modeling for VANET Data Aggregation Protocols [PDF]

, 2010
In-network data aggregation is a promising communication mechanism to reduce bandwidth requirements of applications in vehicular ad-hoc networks (VANETs). Many aggregation schemes have been proposed, often with varying features.
Dietzel, Stefan, Heijenk, Geert, Kargl, Frank, Schaub, Florian   +3 more
core   +3 more sources

STF-EGFA: A Remote Sensing Spatiotemporal Fusion Network with Edge-Guided Feature Attention

Remote Sensing, 2022
Spatiotemporal fusion in remote sensing plays an important role in Earth science applications by using information complementarity between different remote sensing data to improve image performance.
Feifei Cheng, Zhitao Fu, Bohui Tang, Liang Huang, Kun Huang, Xinran Ji   +5 more
doaj   +1 more source

Time-Series-Based Spatiotemporal Fusion Network for Improving Crop Type Mapping

Remote Sensing
Crop mapping is vital in ensuring food production security and informing governmental decision-making. The satellite-normalized difference vegetation index (NDVI) obtained during periods of vigorous crop growth is important for crop species ...
Wenfang Zhan, Feng Luo, Heng Luo, Junli Li, Yongchuang Wu, Zhixiang Yin, Yanlan Wu, Penghai Wu   +7 more
semanticscholar   +1 more source

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

Correction of "Cloud Removal By Fusing Multi-Source and Multi-Temporal Images"

, 2017
Remote sensing images often suffer from cloud cover. Cloud removal is required in many applications of remote sensing images. Multitemporal-based methods are popular and effective to cope with thick clouds.
Cheng, Qing, Li, Xinghua, Li, Zhiwei, Shen, Huanfeng, Zhang, Chengyue   +4 more
core   +1 more source

MLKNet: Multi-Stage for Remote Sensing Image Spatiotemporal Fusion Network Based on a Large Kernel Attention

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Currently, within the realm of deep learning-based spatiotemporal fusion algorithms, those that employ solely convolutional operations are unable to efficiently extract the global image information.
Hao Jiang, Yurong Qian, G. Yang, Hui Liu
semanticscholar   +1 more source