Results 51 to 60 of about 9,577,753 (319)
3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training [PDF]
AAAI Conference on Artificial Intelligence, 2020 Estimating 3D poses from a monocular video is still a challenging task, despite the significant progress that has been made in the recent years. Generally, the performance of existing methods drops when the target person is too small/large, or the motion
Yu Cheng, Bo Yang, Bo Wang, R. Tan
semanticscholar +1 more source
Temporal interactions facilitate endemicity in the susceptible-infected-susceptible epidemic model
New Journal of Physics, 2016 Data of physical contacts and face-to-face communications suggest temporally varying networks as the media on which infections take place among humans and animals.
Leo Speidel +3 more
doaj +1 more source
Mathematics, 2023 Within the 6G vision, the future of mobile communication networks is expected to become more complex, heterogeneous, and characterized by denser deployments with a myriad of users in an ever-more dynamic environment.
Marialisa Scatá, Aurelio La Corte
doaj +1 more source
Temporal percolation in activity driven networks [PDF]
, 2013 We study the temporal percolation properties of temporal networks by taking as a representative example the recently proposed activity driven network model [N. Perra et al., Sci. Rep. 2, 469 (2012)].
Satorras, Romualdo Pastor +1 more
core +3 more sources
Phase Transitions in the Kinetic Ising Model on the Temporal Directed Random Regular Graph
Frontiers in Physics, 2017 We investigate a kinetic Ising model with the Metropolis algorithm on the temporal directed random q-regular graph. We introduce a rewiring time τ as a parameter of the model and show that there is a critical τ = τ* above which the model exhibits ...
Grzegorz Marcjasz +1 more
doaj +1 more source
Journal of Statistical Software, 2020 Many real-world systems are profitably described as complex networks that grow over time. Preferential attachment and node fitness are two simple growth mechanisms that not only explain certain structural properties commonly observed in real-world ...
Thong Pham +2 more
doaj +1 more source
Estimating the outcome of spreading processes on networks with incomplete information: a mesoscale approach [PDF]
, 2017 Recent advances in data collection have facilitated the access to time-resolved human proximity data that can conveniently be represented as temporal networks of contacts between individuals.
Barrat, Alain +3 more
core +2 more sources
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 For a long time, the vision community tries to learn the spatio-temporal representation by combining convolutional neural network together with various temporal models, such as the families of Markov chain, optical flow, RNN and temporal convolution. However, these pipelines consume enormous computing resources due to the alternately learning process ...
Shao, Hao, Qian, Shengju, Liu, Yu
openaire +3 more sources
, 2015 Recent research on temporal networks has highlighted the limitations of a static network perspective for our understanding of complex systems with dynamic topologies.
Garas, Antonios +2 more
core +1 more source
Constraints, 2015 Simple Temporal Networks (STNs) provide a powerful and general tool for representing conjunctions of maximum delay constraints over ordered pairs of temporal variables. In this paper we introduce Hyper Temporal Networks (HyTNs), a strict generalization of STNs, to overcome the limitation of considering only conjunctions of constraints but maintaining a
COMIN, CARLO +2 more
openaire +3 more sources