Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Javad Amirian"'
Publikováno v:
Tehran University Medical Journal, Vol 77, Iss 10, Pp 651-656 (2019)
Background: Medical malpractice is one of the most important legal issues in medicine committed more or less by physicians. The medical staff has inadequate or deficient awareness of medical errors and their importance. Therefore, this study investig
Externí odkaz:
https://doaj.org/article/22412cfd9d6b4257bda9f035c77cfd49
Publikováno v:
Journal of Community Health Research, Vol 5, Iss 1, Pp 20-28 (2016)
Abstract Introduction: Death is defined as the permanent loss of all signs of life at any time after birth (Irrevocable disappearance of all vital signs after birth). Unnatural deaths seem to be either suspicious or unexpected. Deaths that occur s
Externí odkaz:
https://doaj.org/article/0cf07f4c50c44cca85e12bb207b8b2a3
Publikováno v:
International Journal of Social Robotics. 14:631-643
How does the presence of a robot affect pedestrians and crowd dynamics, and does this influence vary across robot type? In this paper, we took the first step towards answering this question by performing a crowd-robot gate-crossing experiment. The st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21b0d2ab7a23083000d53c2ce26cb201
https://doi.org/10.1007/s12369-021-00812-7
https://doi.org/10.1007/s12369-021-00812-7
In some face recognition applications, we are interested to verify whether an individual is a member of a group, without revealing their identity. Some existing methods, propose a mechanism for quantizing precomputed face descriptors into discrete em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::750d67200ab377ff6c1981e99ea5c5b0
http://arxiv.org/abs/2206.08683
http://arxiv.org/abs/2206.08683
The conditions of global competition and environmental sensitivities have made organizations and factories to collect returned products. In such a way that these organizations have tried rehabilitate, recycle or destroy these products in order to pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52e8c06fb5533318f769084748ad88b3
https://doi.org/10.21203/rs.3.rs-1241751/v1
https://doi.org/10.21203/rs.3.rs-1241751/v1
Autor:
Javad Amirian, Bingqing Zhang, Francisco Valente Castro, Juan Jose Baldelomar, Jean-Bernard Hayet, Julien Pettré
Publikováno v:
ACCV 2020-15th Asian Conference on Computer Vision
ACCV 2020-15th Asian Conference on Computer Vision, Nov 2020, Kyoto / Virtual, Japan. pp.1-17
Computer Vision – ACCV 2020 ISBN: 9783030695439
ACCV (6)
ACCV 2020-15th Asian Conference on Computer Vision, Nov 2020, Kyoto / Virtual, Japan. pp.1-17
Computer Vision – ACCV 2020 ISBN: 9783030695439
ACCV (6)
Human Trajectory Prediction (HTP) has gained much momentum in the last years and many solutions have been proposed to solve it. Proper benchmarking being a key issue for comparing methods, this paper addresses the question of evaluating how complex i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f00b1405b3b5dc9164448c76e6189522
https://hal.inria.fr/hal-03156511
https://hal.inria.fr/hal-03156511
Autor:
Fabien Grzeskowiak, Julien Pettré, Florian Berton, Julien Bruneau, Beatriz Cabrero Daniel, Alberto Jovane, Wouter van Toll, Javad Amirian, Axel Lopez Gandia
Publikováno v:
i3D 2020-ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
i3D 2020-ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, Sep 2020, San Francisco, United States. pp.1-9, ⟨10.1145/3384382.3384532⟩
Symposium on Interactive 3D Graphics and Games
I3D
i3D 2020-ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, Sep 2020, San Francisco, United States. pp.1-9, ⟨10.1145/3384382.3384532⟩
Symposium on Interactive 3D Graphics and Games
I3D
To simulate the low-level (‘microscopic’) behavior of human crowds, a local navigation algorithm computes how a single person (‘agent’) should move based on its surroundings. Many algorithms for this purpose have been proposed, each using dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54a48b042bf80cfdca6449bf2cf95d7a
https://inria.hal.science/hal-02497176/document
https://inria.hal.science/hal-02497176/document
Publikováno v:
CASA '19-International Conference on Computer Animation and Social Agents
CASA '19-International Conference on Computer Animation and Social Agents, Jul 2019, Paris, France. pp.1-4, ⟨10.1145/3328756.3328769⟩
CASA
Proceedings of the 32nd International Conference on Computer Animation and Social Agents
Proceedings of the 32nd International Conference on Computer Animation and Social Agents -CASA '19
CASA '19-International Conference on Computer Animation and Social Agents, Jul 2019, Paris, France. pp.1-4, ⟨10.1145/3328756.3328769⟩
CASA
Proceedings of the 32nd International Conference on Computer Animation and Social Agents
Proceedings of the 32nd International Conference on Computer Animation and Social Agents -CASA '19
This paper presents a novel data-driven crowd simulation method that can mimic the observed traffic of pedestrians in a given environment. Given a set of observed trajectories, we use a recent form of neural networks, Generative Adversarial Networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::890bbcffe2195b7281f9bec5e62a8a0a
https://hal.inria.fr/hal-02134282/file/CASA2019-DataDrivenCrowdSimulation-GAN.pdf
https://hal.inria.fr/hal-02134282/file/CASA2019-DataDrivenCrowdSimulation-GAN.pdf
Publikováno v:
CVPR 2019 Workshop-IEEE Conference on Computer Vision and Pattern Recognition Workshop
CVPR 2019 Workshop-IEEE Conference on Computer Vision and Pattern Recognition Workshop, Jun 2019, Long Beach, United States. pp.1-9
CVPR Workshops
CVPR 2019 Workshop-IEEE Conference on Computer Vision and Pattern Recognition Workshop, Jun 2019, Long Beach, United States. pp.1-9
CVPR Workshops
This paper proposes a novel approach for predicting the motion of pedestrians interacting with others. It uses a Generative Adversarial Network (GAN) to sample plausible predictions for any agent in the scene. As GANs are very susceptible to mode col
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::258e571b74513675b26e3ccf7cbd84db
https://hal.inria.fr/hal-02108756
https://hal.inria.fr/hal-02108756