http://bing.comSpatio-temporal Relation Modeling for Few-shot Action Recognition [CVPR 2022]CVPR 2022论文列表及代码:https://github.com/gbstack/CVPR-2022-papers字幕版之后会放出,敬请持续关注欢迎加入人工智能机器学习群:556910946,公众号: AI基地, 视频播放
Fortunately, new technologies for spatial profiling, which can delineate the organization of tumor transcriptional cell states in relation to each other, to genetic diversity, and to metabolic and cellular diversity of the TME, have the potential to greatly increase our understanding of tumor ecosystems...
Spatio-temporal Relation Modeling for Few-shot Action Recognition (CVPR 2022) [Paper][Project Page] Anirudh Thatipelli, Sanath Narayan, Salman Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Bernard Ghanem Installation The codebase is built on PyTorch 1.9.0 and tested on Ubuntu 18.04 environment ...
We introduce a dynamical spatio-temporal model formalized as a recurrent neural network for modeling time series of spatial processes, i.e., series of observations sharing temporal and spatial dependencies. The model learns these dependencies through a structured latent dynamical component, while a ...
A. Empirical Spatio-Temporal Covariance and Correlation The characterization of spatio-temporal covariance and cor- relation structure is important for modeling the spatio-temporal electric load time series. The spatial-temporal dependencies can be quantified by the empirical spatio-temporal covariance ...
Modeling spatiotemporal variability of suspended matter and its relation with hydrodynamic parameters in the northern Bay of BengalSuspended particulate matterSpatio-temporal variabilityChlorophyll-aWavelet analysisBay of BengalVariation of the non-algal suspended particulate matter (SM) was assessed, both on...
Spatio-Temporal Dynamics of Benthic Macrofaunal Communities in Relation to the Recovery of Coastal Aquaculture Operations Following the 2011 Great East Japan Earthquake and Tsunami The 2011 Great East Japan Earthquake and tsunami wiped out over 1200 shellfish and ascidian culture long-lines and ~120 sa...
Changes in the size, shape and movement of the chambers can be important markers for cardiac disease and modeling this in relation to clinical demography or disease is therefore of interest. Existing methods for spatio-temporal modeling of the human heart require shape correspondence over time or ...
To evaluate the performance of the proposed spatio-temporal models, we conducted a study based on ground-truth simulation of lagged effect curves representing the delayed relation with excessive zero malaria cases as seen in our study population. The spatial unit used in the simulation was 60 sub...
A probabilistic modeling is used to analyze the spatio-temporal behavior of eleven aftershock sequences occurred in South and Southeastern Spain. This stud... M Hamdache,JA Peláez,A Talbi - 《Physics & Chemistry of the Earth》 被引量: 5发表: 2013年 Estimating spatio-temporal variable parameter...