Zobrazeno 1 - 10
of 1 027
pro vyhledávání: '"Chen Yutong"'
3D Gaussian Splatting (3DGS) has recently transformed photorealistic reconstruction, achieving high visual fidelity and real-time performance. However, rendering quality significantly deteriorates when test views deviate from the camera angles used d
Externí odkaz:
http://arxiv.org/abs/2411.06390
This paper presents a natural generalisation of Saxl conjecture from a Lie-theoretical perspective, which is verified for the exceptional types. For classical types, progress is made using spin representations, revealing connections to certain tensor
Externí odkaz:
http://arxiv.org/abs/2409.17540
Autor:
Wei, Lai, Ying, Zhen, He, Muyang, Chen, Yutong, Yang, Qian, Hong, Yanzhe, Lu, Jiaping, Li, Xiaoying, Huang, Weiran, Chen, Ying
Diabetes is a chronic disease that poses a significant global health burden, and optimizing diabetes management requires multi-stakeholder collaboration. Large language models (LLMs) have shown promise in various healthcare scenarios, but their effec
Externí odkaz:
http://arxiv.org/abs/2409.13191
Time Series Anomaly Detection (TSAD) finds widespread applications across various domains such as financial markets, industrial production, and healthcare. Its primary objective is to learn the normal patterns of time series data, thereby identifying
Externí odkaz:
http://arxiv.org/abs/2406.19770
In the rapidly evolving field of artificial intelligence, large language models (LLMs) have emerged as powerful tools for a myriad of applications, from natural language processing to decision-making support systems. However, as these models become i
Externí odkaz:
http://arxiv.org/abs/2406.04428
In this paper, we investigate dynamic feature selection within multivariate time-series scenario, a common occurrence in clinical prediction monitoring where each feature corresponds to a bio-test result. Many existing feature selection methods fall
Externí odkaz:
http://arxiv.org/abs/2405.19729
Hazy images degrade visual quality, and dehazing is a crucial prerequisite for subsequent processing tasks. Most current dehazing methods rely on neural networks and face challenges such as high computational parameter pressure and weak generalizatio
Externí odkaz:
http://arxiv.org/abs/2404.15638
Neural rendering techniques have significantly advanced 3D human body modeling. However, previous approaches often overlook dynamics induced by factors such as motion inertia, leading to challenges in scenarios like abrupt stops after rotation, where
Externí odkaz:
http://arxiv.org/abs/2403.19160
Autor:
Chen, Yutong
This paper studies the dynamics of isometries in the curtain model, which is used to capture the hyperbolicity in a fixed CAT(0) space. We establish several fundamental properties, fully classify the behavior of semisimple isometries of a CAT(0) spac
Externí odkaz:
http://arxiv.org/abs/2311.15149
Cryptocurrency market is known for exhibiting significantly higher volatility than traditional asset classes. Efficient and adequate risk calculation is vital for managing risk exposures in such market environments where extreme price fluctuations oc
Externí odkaz:
http://arxiv.org/abs/2309.06393