Zobrazeno 1 - 10
of 59 670
pro vyhledávání: '"Jinhua, An"'
Surveys and interviews (structured, semi-structured, or unstructured) are widely used for collecting insights on emerging or hypothetical scenarios. Traditional human-led methods often face challenges related to cost, scalability, and consistency. Re
Externí odkaz:
http://arxiv.org/abs/2412.17049
High-resolution (HR) images are commonly downscaled to low-resolution (LR) to reduce bandwidth, followed by upscaling to restore their original details. Recent advancements in image rescaling algorithms have employed invertible neural networks (INNs)
Externí odkaz:
http://arxiv.org/abs/2412.13508
Timely and accurate economic data is crucial for effective policymaking. Current challenges in data timeliness and spatial resolution can be addressed with advancements in multimodal sensing and distributed computing. We introduce Senseconomic, a sca
Externí odkaz:
http://arxiv.org/abs/2412.10474
This paper presents a novel framework for modeling and conditional generation of 3D articulated objects. Troubled by flexibility-quality tradeoffs, existing methods are often limited to using predefined structures or retrieving shapes from static dat
Externí odkaz:
http://arxiv.org/abs/2412.07237
Autor:
Cai, Shuhui, Qin, Huafeng, Wang, Huapei, Deng, Chenglong, Yang, Saihong, Xu, Ya, Zhang, Chi, Tang, Xu, Gu, Lixin, Li, Xiaoguang, Shen, Zhongshan, Zhang, Min, He, Kuang, Qi, Kaixian, Fan, Yunchang, Dong, Liang, Hou, Yifei, Shi, Pingyuan, Liu, Shuangchi, Su, Fei, Chen, Yi, Li, Qiuli, Li, Jinhua, Mitchell, Ross N., He, Huaiyu, Li, Chunlai, Pan, Yongxin, Zhu, Rixiang
The evolution of the lunar magnetic field can reveal the Moon's interior structure, thermal history, and surface environment. The mid-to-late stage evolution of the lunar magnetic field is poorly constrained, and thus the existence of a long-lived lu
Externí odkaz:
http://arxiv.org/abs/2411.13719
Publikováno v:
In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 2767-2779
Dense retrieval, which aims to encode the semantic information of arbitrary text into dense vector representations or embeddings, has emerged as an effective and efficient paradigm for text retrieval, consequently becoming an essential component in v
Externí odkaz:
http://arxiv.org/abs/2411.12235
Pathology computing has dramatically improved pathologists' workflow and diagnostic decision-making processes. Although computer-aided diagnostic systems have shown considerable value in whole slide image (WSI) analysis, the problem of multi-classifi
Externí odkaz:
http://arxiv.org/abs/2411.11262
Kagome materials with inherent geometric frustration can produce many interesting physical properties, such as flat bands, quantum spin liquid, chiral magnetism, superconductivity and density-wave orders. Sometimes, the localized 4$f$ electrons from
Externí odkaz:
http://arxiv.org/abs/2411.09907
A Heterogeneous Graph Neural Network Fusing Functional and Structural Connectivity for MCI Diagnosis
Brain connectivity alternations associated with brain disorders have been widely reported in resting-state functional imaging (rs-fMRI) and diffusion tensor imaging (DTI). While many dual-modal fusion methods based on graph neural networks (GNNs) hav
Externí odkaz:
http://arxiv.org/abs/2411.08424
In recent years, Facial Expression Recognition (FER) has gained increasing attention. Most current work focuses on supervised learning, which requires a large amount of labeled and diverse images, while FER suffers from the scarcity of large, diverse
Externí odkaz:
http://arxiv.org/abs/2410.17622