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pro vyhledávání: '"Hamilton, Mark A"'
We give a simple proof that, for a pre-quantized compact symplectic manifold with a Lagrangian torus fibration, its Riemann-Roch number coincides with its number of Bohr-Sommerfeld fibres. This can be viewed as an instance of the "independence of pol
Externí odkaz:
http://arxiv.org/abs/2411.10348
Autor:
Hamilton, Mark, Stent, Simon, DuTell, Vasha, Harrington, Anne, Corbett, Jennifer, Rosenholtz, Ruth, Freeman, William T.
The human visual system is well-tuned to detect faces of all shapes and sizes. While this brings obvious survival advantages, such as a better chance of spotting unknown predators in the bush, it also leads to spurious face detections. ``Face pareido
Externí odkaz:
http://arxiv.org/abs/2409.16143
Autor:
Moser, Jeffery
Publikováno v:
Rocky Mountain Review, 2020 Oct 01. 74(2), 228-230.
Externí odkaz:
https://www.jstor.org/stable/26977714
We present DenseAV, a novel dual encoder grounding architecture that learns high-resolution, semantically meaningful, and audio-visually aligned features solely through watching videos. We show that DenseAV can discover the ``meaning'' of words and t
Externí odkaz:
http://arxiv.org/abs/2406.05629
Autor:
Fu, Stephanie, Hamilton, Mark, Brandt, Laura, Feldman, Axel, Zhang, Zhoutong, Freeman, William T.
Deep features are a cornerstone of computer vision research, capturing image semantics and enabling the community to solve downstream tasks even in the zero- or few-shot regime. However, these features often lack the spatial resolution to directly pe
Externí odkaz:
http://arxiv.org/abs/2403.10516
Autor:
Natalia Cabrera Morales
Publikováno v:
Política criminal. 17:417-422
Autor:
Walsh, Brendan, Hamilton, Mark, Newby, Greg, Wang, Xi, Ruan, Serena, Zhao, Sheng, He, Lei, Zhang, Shaofei, Dettinger, Eric, Freeman, William T., Weimer, Markus
An audiobook can dramatically improve a work of literature's accessibility and improve reader engagement. However, audiobooks can take hundreds of hours of human effort to create, edit, and publish. In this work, we present a system that can automati
Externí odkaz:
http://arxiv.org/abs/2309.03926
Autor:
Cha, Miriam, Angelides, Gregory, Hamilton, Mark, Soszynski, Andy, Swenson, Brandon, Maidel, Nathaniel, Isola, Phillip, Perron, Taylor, Freeman, Bill
The Multimodal Learning for Earth and Environment Workshop (MultiEarth 2023) is the second annual CVPR workshop aimed at the monitoring and analysis of the health of Earth ecosystems by leveraging the vast amount of remote sensing data that is contin
Externí odkaz:
http://arxiv.org/abs/2306.04738
Autor:
Zhong, Howard, Hamilton, Mark
Non-Fungible Tokens (NFTs) are non-interchangeable assets, usually digital art, which are stored on the blockchain. Preliminary studies find that female and darker-skinned NFTs are valued less than their male and lighter-skinned counterparts. However
Externí odkaz:
http://arxiv.org/abs/2304.06484
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