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pro vyhledávání: '"Karran, P."'
Autor:
Pandey, Karran, Gadelha, Matheus, Hold-Geoffroy, Yannick, Singh, Karan, Mitra, Niloy J., Guerrero, Paul
Predicting diverse object motions from a single static image remains challenging, as current video generation models often entangle object movement with camera motion and other scene changes. While recent methods can predict specific motions from mot
Externí odkaz:
http://arxiv.org/abs/2412.00148
Autor:
Karran, A. J., Charland, P., Martineau, J-T., de Arana, A. Ortiz de Guinea Lopez, Lesage, AM., Senecal, S., Leger, P-M.
This study investigates the acceptability of different artificial intelligence (AI) applications in education from a multi-stakeholder perspective, including students, teachers, and parents. Acknowledging the transformative potential of AI in educati
Externí odkaz:
http://arxiv.org/abs/2402.15027
Autor:
Pandey, Karran, Guerrero, Paul, Gadelha, Matheus, Hold-Geoffroy, Yannick, Singh, Karan, Mitra, Niloy
Diffusion Handles is a novel approach to enabling 3D object edits on diffusion images. We accomplish these edits using existing pre-trained diffusion models, and 2D image depth estimation, without any fine-tuning or 3D object retrieval. The edited re
Externí odkaz:
http://arxiv.org/abs/2312.02190
Autor:
Noémie Beauchemin, Patrick Charland, Alexander Karran, Jared Boasen, Bella Tadson, Sylvain Sénécal, Pierre-Majorique Léger
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
Computer-based learning has gained popularity in recent years, providing learners greater flexibility and freedom. However, these learning environments do not consider the learner’s mental state in real-time, resulting in less optimized learning ex
Externí odkaz:
https://doaj.org/article/7896c2869c2c42c983dfaf41c0237d58
Autor:
Casey J. Lumpkin, Hiral Patel, Gregory K. Potts, Shilpi Chaurasia, Lauren Gibilisco, Gyan P. Srivastava, Janice Y. Lee, Nathan J. Brown, Patricia Amarante, Jon D. Williams, Eric Karran, Matthew Townsend, Dori Woods, Brinda Ravikumar
Publikováno v:
Molecular Brain, Vol 17, Iss 1, Pp 1-16 (2024)
Abstract Aggregation of misfolded α-synuclein (α-syn) is a key characteristic feature of Parkinson’s disease (PD) and related synucleinopathies. The nature of these aggregates and their contribution to cellular dysfunction is still not clearly el
Externí odkaz:
https://doaj.org/article/34042f155c85485a88d72aa5589f3f53
Autor:
Emma L. Karran, Aidan G. Cashin, Trevor Barker, Mark A. Boyd, Alessandro Chiarotto, Vina Mohabir, Jennifer Petkovic, Saurab Sharma, Peter Tugwell, G. Lorimer Moseley
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102496- (2024)
There is increasing recognition of the need for researchers to collect and report data that can illuminate health inequities. In pain research, routinely collecting equity-relevant data has the potential to inform about the generalisability of findin
Externí odkaz:
https://doaj.org/article/da36c332117a4806a6029d50cf9a7a8a
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics, 29(9), 2023, 3873 - 3887
The Morse-Smale complex is a well studied topological structure that represents the gradient flow behavior between critical points of a scalar function. It supports multi-scale topological analysis and visualization of feature-rich scientific data. S
Externí odkaz:
http://arxiv.org/abs/2009.03707
Akademický článek
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Akademický článek
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Autor:
E. L. Karran, A. R. Grant, H. Lee, S. J. Kamper, C. M. Williams, L. K. Wiles, R. Shala, C. V. Poddar, T. Astill, G. L. Moseley
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-49 (2023)
Abstract Background Health education interventions are considered critical for the prevention and management of conditions of public health concern. Although the burden of these conditions is often greatest in socio-economically disadvantaged populat
Externí odkaz:
https://doaj.org/article/5276f0b70e214d1084ff932b75ad59ea