Zobrazeno 1 - 10
of 8 397
pro vyhledávání: '"Vats AS"'
The importance of quantifying uncertainty in deep networks has become paramount for reliable real-world applications. In this paper, we propose a method to improve uncertainty estimation in medical Image-to-Image (I2I) translation. Our model integrat
Externí odkaz:
http://arxiv.org/abs/2412.01705
Model-based planners and controllers are commonly used to solve complex manipulation problems as they can efficiently optimize diverse objectives and generalize to long horizon tasks. However, they are limited by the fidelity of their model which oft
Externí odkaz:
http://arxiv.org/abs/2410.13979
Autor:
Kumar, Raja, Vats, Vanshika
3D Gaussian splatting has surpassed neural radiance field methods in novel view synthesis by achieving lower computational costs and real-time high-quality rendering. Although it produces a high-quality rendering with a lot of input views, its perfor
Externí odkaz:
http://arxiv.org/abs/2410.11080
Autor:
Kakkad, Dwija, Vats, Dootika
Accept-reject based Markov chain Monte Carlo (MCMC) methods are the workhorse algorithm for Bayesian inference. These algorithms, like Metropolis-Hastings, require the choice of a proposal distribution which is typically informed by the desired targe
Externí odkaz:
http://arxiv.org/abs/2410.10282
Diffusion models have recently been successfully applied to a wide range of robotics applications for learning complex multi-modal behaviors from data. However, prior works have mostly been confined to single-robot and small-scale environments due to
Externí odkaz:
http://arxiv.org/abs/2410.03072
Vehicle object detection is possible using both LiDAR and camera data. Methods using LiDAR generally outperform those using cameras only. The highest accuracy methods utilize both of these modalities through data fusion. In our study, we propose a mo
Externí odkaz:
http://arxiv.org/abs/2409.15529
In this article, we explore the extremal contractions of several projective bundles over smooth Fano varieties of Picard rank $1$. We provide a whole class of examples of projective bundles with smooth blow-up structures, derived from the notion of d
Externí odkaz:
http://arxiv.org/abs/2409.05091
The recent detection of CN-functionalized aromatics partly addresses the long-standing mystery of the apparent absence of five- and six-membered rings in interstellar environments. N-heterocycles, which are crucial as the fundamental structures of nu
Externí odkaz:
http://arxiv.org/abs/2408.16253
Autor:
Banerjee, Arka, Vats, Dootika
Estimating Monte Carlo error is critical to valid simulation results in Markov chain Monte Carlo (MCMC) and initial sequence estimators were one of the first methods introduced for this. Over the last few years, focus has been on multivariate assessm
Externí odkaz:
http://arxiv.org/abs/2406.15874
Autor:
Vats, Vibhas K, Crandall, David J
Stereophotogrammetry is an emerging technique of scene understanding. Its origins go back to at least the 1800s when people first started to investigate using photographs to measure the physical properties of the world. Since then, thousands of appro
Externí odkaz:
http://arxiv.org/abs/2403.12431