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pro vyhledávání: '"Dewan, Shaurya"'
Autor:
Luo, Andrew F., Yeung, Jacob, Zawar, Rushikesh, Dewan, Shaurya, Henderson, Margaret M., Wehbe, Leila, Tarr, Michael J.
Advances in large-scale artificial neural networks have facilitated novel insights into the functional topology of the brain. Here, we leverage this approach to study how semantic categories are organized in the human visual cortex. To overcome the c
Externí odkaz:
http://arxiv.org/abs/2410.05266
Autor:
Zawar, Rushikesh, Dewan, Shaurya, Luo, Andrew F., Henderson, Margaret M., Tarr, Michael J., Wehbe, Leila
Understanding the semantics of visual scenes is a fundamental challenge in Computer Vision. A key aspect of this challenge is that objects sharing similar semantic meanings or functions can exhibit striking visual differences, making accurate identif
Externí odkaz:
http://arxiv.org/abs/2406.13735
Autor:
Dewan, Shaurya, Zawar, Rushikesh, Saxena, Prakanshul, Chang, Yingshan, Luo, Andrew, Bisk, Yonatan
Publikováno v:
Thirty-Eighth Annual Conference on Neural Information Processing Systems (2024)
Text-to-image diffusion models have made significant progress in generating naturalistic images from textual inputs, and demonstrate the capacity to learn and represent complex visual-semantic relationships. While these diffusion models have achieved
Externí odkaz:
http://arxiv.org/abs/2406.05191
The authors of 'Unsupervised Reinforcement Learning in Multiple environments' propose a method, alpha-MEPOL, to tackle unsupervised RL across multiple environments. They pre-train a task-agnostic exploration policy using interactions from an entire e
Externí odkaz:
http://arxiv.org/abs/2401.04198
Autor:
Agaram, Rohith, Dewan, Shaurya, Sajnani, Rahul, Poulenard, Adrien, Krishna, Madhava, Sridhar, Srinath
Coordinate-based implicit neural networks, or neural fields, have emerged as useful representations of shape and appearance in 3D computer vision. Despite advances, however, it remains challenging to build neural fields for categories of objects with
Externí odkaz:
http://arxiv.org/abs/2212.02493