Zobrazeno 1 - 10
of 95 306
pro vyhledávání: '"Yanyan An"'
Capturing the temporal evolution of Gaussian properties such as position, rotation, and scale is a challenging task due to the vast number of time-varying parameters and the limited photometric data available, which generally results in convergence i
Externí odkaz:
http://arxiv.org/abs/2412.04282
Autor:
Wu, Yinyu, Zhang, Xuhui, Ren, Jinke, Shen, Yanyan, Yang, Bo, Wang, Shuqiang, Guan, Xinping, Niyato, Dusit
Intelligent reflecting surface (IRS)-assisted mobile edge computing (MEC) systems have shown notable improvements in efficiency, such as reduced latency, higher data rates, and better energy efficiency. However, the resource competition among users w
Externí odkaz:
http://arxiv.org/abs/2412.04002
Autor:
Sun, Luning, Yuan, Yuzhuo, Yao, Yuan, Li, Yanyan, Zhang, Hao, Xie, Xing, Wang, Xiting, Luo, Fang, Stillwell, David
Artificial intelligence has, so far, largely automated routine tasks, but what does it mean for the future of work if Large Language Models (LLMs) show creativity comparable to humans? To measure the creativity of LLMs holistically, the current study
Externí odkaz:
http://arxiv.org/abs/2412.03151
Chiral Anomalous Magnetohydrodynamics (CAMHD) provides a low-energy effective framework for describing chiral fluids in the presence of dynamical electromagnetic fields and axial anomaly. This theory finds applications across diverse physical systems
Externí odkaz:
http://arxiv.org/abs/2412.02361
As a fine-grained task, multimodal aspect-based sentiment analysis (MABSA) mainly focuses on identifying aspect-level sentiment information in the text-image pair. However, we observe that it is difficult to recognize the sentiment of aspects in low-
Externí odkaz:
http://arxiv.org/abs/2412.01249
Sparse Multi-view Images can be Learned to predict explicit radiance fields via Generalizable Gaussian Splatting approaches, which can achieve wider application prospects in real-life when ground-truth camera parameters are not required as inputs. In
Externí odkaz:
http://arxiv.org/abs/2411.18072
Autor:
Zhou, Chen, Cheng, Peng, Fang, Junfeng, Zhang, Yifan, Yan, Yibo, Jia, Xiaojun, Xu, Yanyan, Wang, Kun, Cao, Xiaochun
Multispectral object detection, utilizing RGB and TIR (thermal infrared) modalities, is widely recognized as a challenging task. It requires not only the effective extraction of features from both modalities and robust fusion strategies, but also the
Externí odkaz:
http://arxiv.org/abs/2411.18288
Organic synthesis stands as a cornerstone of chemical industry. The development of robust machine learning models to support tasks associated with organic reactions is of significant interest. However, current methods rely on hand-crafted features or
Externí odkaz:
http://arxiv.org/abs/2411.17629
Autor:
Zheng, Haowen, Liang, Yanyan
Recent advancements in 3D diffusion-based semantic scene generation have gained attention. However, existing methods rely on unconditional generation and require multiple resampling steps when editing scenes, which significantly limits their controll
Externí odkaz:
http://arxiv.org/abs/2411.12290
Whole slide image (WSI) analysis is gaining prominence within the medical imaging field. Recent advances in pathology foundation models have shown the potential to extract powerful feature representations from WSIs for downstream tasks. However, thes
Externí odkaz:
http://arxiv.org/abs/2411.09894