Zobrazeno 1 - 10
of 3 125
pro vyhledávání: '"Kayan, A."'
Building a foundation model for 3D vision is a complex challenge that remains unsolved. Towards that goal, it is important to understand the 3D reasoning capabilities of current models as well as identify the gaps between these models and humans. The
Externí odkaz:
http://arxiv.org/abs/2410.10799
Autor:
Raistrick, Alexander, Mei, Lingjie, Kayan, Karhan, Yan, David, Zuo, Yiming, Han, Beining, Wen, Hongyu, Parakh, Meenal, Alexandropoulos, Stamatis, Lipson, Lahav, Ma, Zeyu, Deng, Jia
We introduce Infinigen Indoors, a Blender-based procedural generator of photorealistic indoor scenes. It builds upon the existing Infinigen system, which focuses on natural scenes, but expands its coverage to indoor scenes by introducing a diverse li
Externí odkaz:
http://arxiv.org/abs/2406.11824
Video and wearable sensor data provide complementary information about human movement. Video provides a holistic understanding of the entire body in the world while wearable sensors provide high-resolution measurements of specific body segments. A ro
Externí odkaz:
http://arxiv.org/abs/2405.17368
Autor:
Mayuri Trivedi, Kayan Siodia
Publikováno v:
Indian Journal of Transplantation, Vol 18, Iss 3, Pp 240-246 (2024)
As the prevalence of chronic kidney disease (CKD) increases globally, a greater number of CKD patients are surviving to become end-stage kidney disease (ESKD) and avail kidney transplantation as means of therapy. Furthermore, with the global mismatch
Externí odkaz:
https://doaj.org/article/236f8df3c1484184bef59eea0391e18f
Autor:
Gamze Uzun, Asgar Kayan
Publikováno v:
Reactions, Vol 5, Iss 3, Pp 594-606 (2024)
In this study, methyl/tbutyl salicylate-bearing zirconium complexes (C1–C8) were prepared by the reaction of zirconium (IV) propoxide/butoxide with salicylic acid, 3-methylsalicylic acid, 4-methylsalicylic acid, and 3,5-di-tert-butylsalicylic acid
Externí odkaz:
https://doaj.org/article/a4b5aed232b04e0baaa8fbbc463c1b6c
Autor:
David Kwame Dosoo, George Asumah Adu, Kayan Kingsley, Eliezer Odei-Lartey, Kofi Adomako, Frank Atuguba, Stephaney Gyaase, Abdul Razak Nuhu, Nana Yaw Peprah, Love Ankrah, Dennis Adu-Gyasi, Dorcas Atibilla, John Williams, Keziah L. Malm, Kwaku Poku Asante
Publikováno v:
Malaria Journal, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract Background Malaria remains a major public health problem, especially among children in sub-Saharan Africa. Knowledge of malaria parasite prevalence informs targeted interventions and helps to monitor the effectiveness of those interventions.
Externí odkaz:
https://doaj.org/article/c2a264b025ba4efc9984897d4923d0cd
Autor:
Cotton, R. James, Peiffer, J. D., Shah, Kunal, DeLillo, Allison, Cimorelli, Anthony, Anarwala, Shawana, Abdou, Kayan, Karakostas, Tasos
Publikováno v:
Ambient Inteligence for Healthcare workshop at MICCAI 2023
Markerless motion capture (MMC) is revolutionizing gait analysis in clinical settings by making it more accessible, raising the question of how to extract the most clinically meaningful information from gait data. In multiple fields ranging from imag
Externí odkaz:
http://arxiv.org/abs/2307.16321
Autor:
Raistrick, Alexander, Lipson, Lahav, Ma, Zeyu, Mei, Lingjie, Wang, Mingzhe, Zuo, Yiming, Kayan, Karhan, Wen, Hongyu, Han, Beining, Wang, Yihan, Newell, Alejandro, Law, Hei, Goyal, Ankit, Yang, Kaiyu, Deng, Jia
We introduce Infinigen, a procedural generator of photorealistic 3D scenes of the natural world. Infinigen is entirely procedural: every asset, from shape to texture, is generated from scratch via randomized mathematical rules, using no external sour
Externí odkaz:
http://arxiv.org/abs/2306.09310
The rapid and accurate detection of COVID-19 cases is critical for timely treatment and preventing the spread of the disease. In this study, a two-stage feature extraction framework using eight state-of-the-art pre-trained deep Convolutional Neural N
Externí odkaz:
http://arxiv.org/abs/2304.10677
Autor:
Cotton, R. James, DeLillo, Allison, Cimorelli, Anthony, Shah, Kunal, Peiffer, J. D., Anarwala, Shawana, Abdou, Kayan, Karakostas, Tasos
Markerless motion capture using computer vision and human pose estimation (HPE) has the potential to expand access to precise movement analysis. This could greatly benefit rehabilitation by enabling more accurate tracking of outcomes and providing mo
Externí odkaz:
http://arxiv.org/abs/2303.10654