Zobrazeno 1 - 10
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pro vyhledávání: '"Li, Yuxin"'
3D environment recognition is essential for autonomous driving systems, as autonomous vehicles require a comprehensive understanding of surrounding scenes. Recently, the predominant approach to define this real-life problem is through 3D occupancy pr
Externí odkaz:
http://arxiv.org/abs/2405.16099
Publikováno v:
IEEE Journal of Biomedical and Health Informatics, 2024
Mild cognitive impairment (MCI) is often at high risk of progression to Alzheimer's disease (AD). Existing works to identify the progressive MCI (pMCI) typically require MCI subtype labels, pMCI vs. stable MCI (sMCI), determined by whether or not an
Externí odkaz:
http://arxiv.org/abs/2401.10966
Autor:
Shen, Chuyun, Li, Wenhao, Chen, Haoqing, Wang, Xiaoling, Zhu, Fengping, Li, Yuxin, Wang, Xiangfeng, Jin, Bo
Radiologists must utilize multiple modal images for tumor segmentation and diagnosis due to the limitations of medical imaging and the diversity of tumor signals. This leads to the development of multimodal learning in segmentation. However, the redu
Externí odkaz:
http://arxiv.org/abs/2401.02717
Large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various tasks and attracted an increasing interest as a natural language interface across many domains. Recently, large vision-language models (VLMs) like BLI
Externí odkaz:
http://arxiv.org/abs/2312.15663
Publikováno v:
Frontiers of Computer Science, 2024,18(6):186604
Learning-outcome prediction (LOP) is a long-standing and critical problem in educational routes. Many studies have contributed to developing effective models while often suffering from data shortage and low generalization to various institutions due
Externí odkaz:
http://arxiv.org/abs/2312.15608
Temporal knowledge graphs (TKGs) have been identified as a promising approach to represent the dynamics of facts along the timeline. The extrapolation of TKG is to predict unknowable facts happening in the future, holding significant practical value
Externí odkaz:
http://arxiv.org/abs/2312.01601
Autor:
Li, Yuxin, Han, Qiang, Yu, Mengying, Jiang, Yuxin, Yeo, Chaikiat, Li, Yiheng, Huang, Zihang, Liu, Nini, Chen, Hsuanhan, Wu, Xiaojun
3D object detection in Bird's-Eye-View (BEV) space has recently emerged as a prevalent approach in the field of autonomous driving. Despite the demonstrated improvements in accuracy and velocity estimation compared to perspective view methods, the de
Externí odkaz:
http://arxiv.org/abs/2312.00633
Recently, Large Language Models (LLMs) have enhanced user interaction, enabling seamless information retrieval and recommendations. However, concerns emerge as these LLMs have shown tendencies to display discrimination related to users' sensitive cha
Externí odkaz:
http://arxiv.org/abs/2311.07054
Publikováno v:
Electronic Journal of Differential Equations,2023(56):1-19
We study the Sobolev critical Schr\"odinger-Bopp-Podolsky system \begin{gather*} -\Delta u+\phi u=\lambda u+\mu|u|^{p-2}u+|u|^4u\quad \text{in }\mathbb{R}^3, -\Delta\phi+\Delta^2\phi=4\pi u^2\quad \text{in } \mathbb{R}^3, \end{gather*} under the mass
Externí odkaz:
http://arxiv.org/abs/2309.02656
Generalizing Neural Radiance Fields (NeRF) to new scenes is a significant challenge that existing approaches struggle to address without extensive modifications to vanilla NeRF framework. We introduce InsertNeRF, a method for INStilling gEneRalizabil
Externí odkaz:
http://arxiv.org/abs/2308.13897