Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Petros Faloutsos"'
Publikováno v:
IEEE Computer Graphics and Applications. 43:39-52
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac2fe2f515d3ad32f30c52dbd53def51
https://doi.org/10.1109/mcg.2022.3230444
https://doi.org/10.1109/mcg.2022.3230444
Publikováno v:
Computers & Graphics. 104:86-94
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ac6297c5c025d34070739f79336b748
https://doi.org/10.1016/j.cag.2022.03.010
https://doi.org/10.1016/j.cag.2022.03.010
Autor:
Nilay Chakraborty, Glen Berseth, Mubbasir Kapadia, Brandon Haworth, Petros Faloutsos, Davide Schaumann, Muhammad Usman
Publikováno v:
IEEE Computer Graphics and Applications. 41:107-117
This article explores whether crowd-sourced human creativity within a gamified collaborative design framework can address the complexity of predictive environment design. This framework is predicated on gamifying crowd objectives and presenting envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a931beff295b320f50d221678ddce55
https://doi.org/10.1109/mcg.2020.2965069
https://doi.org/10.1109/mcg.2020.2965069
Publikováno v:
ACM Symposium on Applied Perception 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c50707483ad32033bc7e59c1696a621a
https://doi.org/10.1145/3548814.3551457
https://doi.org/10.1145/3548814.3551457
Graph-based generative representation learning of semantically and behaviorally augmented floorplans
Publikováno v:
The Visual Computer. 38:2785-2800
Floorplans are commonly used to represent the layout of buildings. In computer aided-design (CAD) floorplans are usually represented in the form of hierarchical graph structures. Research works towards computational techniques that facilitate the des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dd15c5b215d7010037f27e6c8319936
https://doi.org/10.1007/s00371-021-02155-w
https://doi.org/10.1007/s00371-021-02155-w
Publikováno v:
The Visual Computer. 37:107-118
Multi-agent simulations can provide useful insights into the movement of pedestrians in arbitrary environments for predictive planning and analysis. The fidelity of such agents is important for the validity of the associated analyses. Current methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c84ff92a732759f4823582c11605b46b
https://doi.org/10.1007/s00371-020-01969-4
https://doi.org/10.1007/s00371-020-01969-4
Publikováno v:
Computers & Graphics. 88:83-96
Evaluating and optimizing the design of built and yet-to-be-built environments, with respect to human occupancy and behavior is both greatly beneficial and challenging. Crowd simulation can provide the computational means to analyze a design through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92dbe033749b8221a42ab7eaf502040a
https://doi.org/10.1016/j.cag.2020.03.005
https://doi.org/10.1016/j.cag.2020.03.005
Autor:
Kaidong Hu, Brandon Haworth, Glen Berseth, Vladimir Pavlovic, Petros Faloutsos, Mubbasir Kapadia
Publikováno v:
IEEE transactions on visualization and computer graphics.
Agent-based synthetic crowd simulation affords the cost-effective large-scale simulation and animation of interacting digital humans. Model-based approaches have successfully generated a plethora of simulators with a variety of foundations. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbdddcc67f33033f3f3782232d07476a
https://pubmed.ncbi.nlm.nih.gov/34965213
https://pubmed.ncbi.nlm.nih.gov/34965213
Publikováno v:
MIG
Modeling visual attention is an important aspect of simulating realistic virtual humans. This work proposes a parametric model and method for generating real-time saliency maps from the perspective of virtual agents which approximate those of vision-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9817b7aed2a0b753ed065cb3aaa45da
https://doi.org/10.1145/3487983.3488299
https://doi.org/10.1145/3487983.3488299
Publikováno v:
2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98043a2b28440c559f89432c8d712f6e
https://doi.org/10.1109/aivr52153.2021.00035
https://doi.org/10.1109/aivr52153.2021.00035