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of 568
pro vyhledávání: '"Ehsanpour, A. A."'
For a complete comprehension of multi-person scenes, it is essential to go beyond basic tasks like detection and tracking. Higher-level tasks, such as understanding the interactions and social activities among individuals, are also crucial. Progress
Externí odkaz:
http://arxiv.org/abs/2404.05578
Autor:
Peyman Namamian, Seyed Reza Ehsanpour
Publikováno v:
پژوهشنامه حقوق تطبیقی, Vol 8, Iss 3, Pp 173-189 (2024)
Terrorism is not only considered an organized and transnational crime, but it can also appear in the territory of any state. This crime no longer has an international and global aspect. Therefore, all states try to adopt comprehensive policies agains
Externí odkaz:
https://doaj.org/article/0adf7cc1ac104aac95e373318a0b8d11
Autor:
Alireza Yousefi, Tahereh Changiz, Maryam Avizhgan, Fariba Jokar, Soheyla Ehsanpour, Nikoo Yamani
Publikováno v:
Journal of Education and Health Promotion, Vol 13, Iss 1, Pp 460-460 (2024)
BACKGROUND: The institutional accreditation standards were revised after the initial round of institutional accreditation and gaining experience while scrutinizing issues and complications. This research covers the steps needed to update and then com
Externí odkaz:
https://doaj.org/article/f91488bebcb84b728aa402737744eca1
Publikováno v:
Journal of Cell & Tissue. Aug2024, Vol. 15 Issue 2, p130-145. 16p.
The availability of large-scale video action understanding datasets has facilitated advances in the interpretation of visual scenes containing people. However, learning to recognise human actions and their social interactions in an unconstrained real
Externí odkaz:
http://arxiv.org/abs/2106.08827
Autor:
Adeli, Vida, Ehsanpour, Mahsa, Reid, Ian, Niebles, Juan Carlos, Savarese, Silvio, Adeli, Ehsan, Rezatofighi, Hamid
Publikováno v:
IEEE/CVF International Conference on Computer Vision, pp. 13390-13400. 2021
Joint forecasting of human trajectory and pose dynamics is a fundamental building block of various applications ranging from robotics and autonomous driving to surveillance systems. Predicting body dynamics requires capturing subtle information embed
Externí odkaz:
http://arxiv.org/abs/2104.04029
Autor:
Zhu, Tianyu, Hiller, Markus, Ehsanpour, Mahsa, Ma, Rongkai, Drummond, Tom, Reid, Ian, Rezatofighi, Hamid
Tracking a time-varying indefinite number of objects in a video sequence over time remains a challenge despite recent advances in the field. Most existing approaches are not able to properly handle multi-object tracking challenges such as occlusion,
Externí odkaz:
http://arxiv.org/abs/2103.14829
Wearables are fundamental to improving our understanding of human activities, especially for an increasing number of healthcare applications from rehabilitation to fine-grained gait analysis. Although our collective know-how to solve Human Activity R
Externí odkaz:
http://arxiv.org/abs/2007.07172
The state-of-the art solutions for human activity understanding from a video stream formulate the task as a spatio-temporal problem which requires joint localization of all individuals in the scene and classification of their actions or group activit
Externí odkaz:
http://arxiv.org/abs/2007.02632
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