Zobrazeno 1 - 10
of 56 057
pro vyhledávání: '"P, Kwan"'
We present HyperFLINT (Hypernetwork-based FLow estimation and temporal INTerpolation), a novel deep learning-based approach for estimating flow fields, temporally interpolating scalar fields, and facilitating parameter space exploration in spatio-tem
Externí odkaz:
http://arxiv.org/abs/2412.04095
Autor:
Jiang, Yuxuan, Kwan, Ho Man, Peng, Tianhao, Gao, Ge, Zhang, Fan, Zhu, Xiaoqing, Sole, Joel, Bull, David
Recent advances in implicit neural representations (INRs) have shown significant promise in modeling visual signals for various low-vision tasks including image super-resolution (ISR). INR-based ISR methods typically learn continuous representations,
Externí odkaz:
http://arxiv.org/abs/2412.03748
String field theories exhibit exponential suppression of interactions among component fields at high energies due to infinite-derivative factors such as $e^{\ell^2 \, \Box / 2}$ in their vertices. This nonlocality has hindered the development of a co
Externí odkaz:
http://arxiv.org/abs/2412.02577
We present TimeWalker, a novel framework that models realistic, full-scale 3D head avatars of a person on lifelong scale. Unlike current human head avatar pipelines that capture identity at the momentary level(e.g., instant photography or short video
Externí odkaz:
http://arxiv.org/abs/2412.02421
The recent surge in high-quality visual instruction tuning samples from closed-source vision-language models (VLMs) such as GPT-4V has accelerated the release of open-source VLMs across various model sizes. However, scaling VLMs to improve performanc
Externí odkaz:
http://arxiv.org/abs/2412.01822
Extremely large-scale multiple-input multiple-output (XL-MIMO) is gaining attention as a prominent technology for enabling the sixth-generation (6G) wireless networks. However, the vast antenna array and the huge bandwidth introduce a non-negligible
Externí odkaz:
http://arxiv.org/abs/2412.01029
Presolar grains are stardust particles that condensed in the ejecta or in the outflows of dying stars and can today be extracted from meteorites. They recorded the nucleosynthetic fingerprint of their parent stars and thus serve as valuable probes of
Externí odkaz:
http://arxiv.org/abs/2411.19935
Identifying defects and anomalies in industrial products is a critical quality control task. Traditional manual inspection methods are slow, subjective, and error-prone. In this work, we propose a novel zero-shot training-free approach for automated
Externí odkaz:
http://arxiv.org/abs/2411.19220
Fairness in both machine learning (ML) predictions and human decisions is critical, with ML models prone to algorithmic and data bias, and human decisions affected by subjectivity and cognitive bias. This study investigates fairness using a real-worl
Externí odkaz:
http://arxiv.org/abs/2411.17374
Autor:
Moran, Kelly R., Payne, Richard, Lawrence, Earl, Higdon, David, Walsh, Stephen A., Booth, Annie S., Kwan, Juliana, Day, Amber, Habib, Salman, Heitmann, Katrin
The nonlinear matter power spectrum in cosmology describes how matter density fluctuations vary with scale in the universe, providing critical insights into large-scale structure formation. The matter power spectrum includes both smooth regions and h
Externí odkaz:
http://arxiv.org/abs/2411.14747