Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jain, Umangi"'
We introduce GaussianCut, a new method for interactive multiview segmentation of scenes represented as 3D Gaussians. Our approach allows for selecting the objects to be segmented by interacting with a single view. It accepts intuitive user input, suc
Externí odkaz:
http://arxiv.org/abs/2411.07555
Autor:
Batchu, Vishal, Wilson, Alex, Peng, Betty, Elkin, Carl, Jain, Umangi, Van Arsdale, Christopher, Goroshin, Ross, Gulshan, Varun
The transition to renewable energy, particularly solar, is key to mitigating climate change. Google's Solar API aids this transition by estimating solar potential from aerial imagery, but its impact is constrained by geographical coverage. This paper
Externí odkaz:
http://arxiv.org/abs/2408.14400
Autor:
Lourenço, Ricardo Barros, Smith, Michael J., Smullin, Sylvia, Jain, Umangi, Gonsamo, Alemu, Ouaknine, Arthur
Forests of the Earth are a vital carbon sink while providing an essential habitat for biodiversity. Vegetation productivity (VP) is a critical indicator of carbon uptake in the atmosphere. The leaf area index is a crucial vegetation index used in VP
Externí odkaz:
http://arxiv.org/abs/2310.18703
Self-supervised methods have shown tremendous success in the field of computer vision, including applications in remote sensing and medical imaging. Most popular contrastive-loss based methods like SimCLR, MoCo, MoCo-v2 use multiple views of the same
Externí odkaz:
http://arxiv.org/abs/2209.02329
Autor:
Jain, Umangi, Ramaswamy, Harish G.
Despite their massive success, training successful deep neural networks still largely relies on experimentally choosing an architecture, hyper-parameters, initialization, and training mechanism. In this work, we focus on determining the success of st
Externí odkaz:
http://arxiv.org/abs/2111.13075