Zobrazeno 1 - 10
of 49 985
pro vyhledávání: '"A., Ajmal"'
Autor:
Aggarwal, Neil Krishan, author
Publikováno v:
Militant Leadership : Person-Centered Studies from Kashmir, 2023.
Externí odkaz:
https://doi.org/10.1093/oso/9780197640418.003.0004
Publikováno v:
Fragrances in the United Arab Emirates. 5/22/2024, p1-3. 3p.
Publikováno v:
Men's Grooming in the United Arab Emirates. 5/22/2024, p1-3. 3p.
Publikováno v:
Journal of Managerial Sciences. Apr-Jun2019, Vol. 13 Issue 2, p47-58. 12p.
Autor:
Prabu, N. Napthalin
Publikováno v:
South Asia Research; Jul2023, Vol. 43 Issue 2, p319-321, 3p
The widespread availability of multimodal generative models has sparked critical discussions on their fairness, reliability, and potential for misuse. While text-to-image models can produce high-fidelity, user-guided images, they also exhibit unpredi
Externí odkaz:
http://arxiv.org/abs/2411.13981
Training multimodal generative models on large, uncurated datasets can result in users being exposed to harmful, unsafe and controversial or culturally-inappropriate outputs. While model editing has been proposed to remove or filter undesirable conce
Externí odkaz:
http://arxiv.org/abs/2411.13982
Lossy compression methods rely on an autoencoder to transform a point cloud into latent points for storage, leaving the inherent redundancy of latent representations unexplored. To reduce redundancy in latent points, we propose a sparse priors guided
Externí odkaz:
http://arxiv.org/abs/2411.13860
Autor:
Deng, Andong, Chen, Tongjia, Yu, Shoubin, Yang, Taojiannan, Spencer, Lincoln, Tian, Yapeng, Mian, Ajmal Saeed, Bansal, Mohit, Chen, Chen
In this paper, we introduce Motion-Grounded Video Reasoning, a new motion understanding task that requires generating visual answers (video segmentation masks) according to the input question, and hence needs implicit spatiotemporal reasoning and gro
Externí odkaz:
http://arxiv.org/abs/2411.09921
Autor:
Palepu, Anil, Dhillon, Vikram, Niravath, Polly, Weng, Wei-Hung, Prasad, Preethi, Saab, Khaled, Tanno, Ryutaro, Cheng, Yong, Mai, Hanh, Burns, Ethan, Ajmal, Zainub, Kulkarni, Kavita, Mansfield, Philip, Webster, Dale, Barral, Joelle, Gottweis, Juraj, Schaekermann, Mike, Mahdavi, S. Sara, Natarajan, Vivek, Karthikesalingam, Alan, Tu, Tao
Large language models (LLMs) have shown remarkable progress in encoding clinical knowledge and responding to complex medical queries with appropriate clinical reasoning. However, their applicability in subspecialist or complex medical settings remain
Externí odkaz:
http://arxiv.org/abs/2411.03395