Zobrazeno 1 - 10
of 1 130
pro vyhledávání: '"QIU, Rui"'
Night-time scene parsing aims to extract pixel-level semantic information in night images, aiding downstream tasks in understanding scene object distribution. Due to limited labeled night image datasets, unsupervised domain adaptation (UDA) has becom
Externí odkaz:
http://arxiv.org/abs/2406.10531
This paper explores the field of semi-supervised Fr\'echet regression, driven by the significant costs associated with obtaining non-Euclidean labels. Methodologically, we propose two novel methods: semi-supervised NW Fr\'echet regression and semi-su
Externí odkaz:
http://arxiv.org/abs/2404.10444
Clinical applications of FLASH radiotherapy require formulas to describe how the FLASH radiation features and other related factors determine the FLASH effect. Mathematical analysis of the models can connect the theoretical hypotheses with the radiob
Externí odkaz:
http://arxiv.org/abs/2311.15558
The number of published research papers has experienced exponential growth in recent years, which makes it crucial to develop new methods for efficient and versatile information extraction and knowledge discovery. To address this need, we propose a S
Externí odkaz:
http://arxiv.org/abs/2306.04758
Autor:
Yang, Kaicheng, Wu, Yuhan, Miao, Ruijie, Yang, Tong, Liu, Zirui, Xu, Zicang, Qiu, Rui, Zhao, Yikai, Lv, Hanglong, Ji, Zhigang, Xie, Gaogang
Publikováno v:
ACM SIGCOMM (2023) 881-903
Flow-level network measurement is critical to many network applications. Among various measurement tasks, packet loss detection and heavy-hitter detection are two most important measurement tasks, which we call the two key tasks. In practice, the two
Externí odkaz:
http://arxiv.org/abs/2301.00615
Publikováno v:
International Journal of Production Research; Sep2024, Vol. 62 Issue 18, p6859-6880, 22p
Publikováno v:
You-qi chuyun, Vol 43, Iss 4, Pp 361-372 (2024)
[Objective] Ammonia is acknowledged as an efficient hydrogen storage medium, having the potential of being a substitute for fossil fuels in achieving the vision of a “carbon-free future”. Due to its stable liquid-state attributes in storage and t
Externí odkaz:
https://doaj.org/article/7bac78dfee694c96a52e52f710947114
Publikováno v:
European Conference on Computer Vision 2022
Although deep-learning based methods for monocular pedestrian detection have made great progress, they are still vulnerable to heavy occlusions. Using multi-view information fusion is a potential solution but has limited applications, due to the lack
Externí odkaz:
http://arxiv.org/abs/2207.10895
Publikováno v:
In Energy 30 November 2024 310
Publikováno v:
In Neurocomputing 28 November 2024 607