Zobrazeno 1 - 10
of 28 717
pro vyhledávání: '"An, Haipeng"'
Epilepsy affects over 50 million people globally, with EEG/MEG-based spike detection playing a crucial role in diagnosis and treatment. Manual spike identification is time-consuming and requires specialized training, limiting the number of profession
Externí odkaz:
http://arxiv.org/abs/2410.03191
In recent years, the global adoption of electric vehicles (EVs) has surged, prompting a corresponding rise in the installation of charging stations. This proliferation has underscored the importance of expediting the deployment of charging infrastruc
Externí odkaz:
http://arxiv.org/abs/2410.01384
The issue of traffic congestion poses a significant obstacle to the development of global cities. One promising solution to tackle this problem is intelligent traffic signal control (TSC). Recently, TSC strategies leveraging reinforcement learning (R
Externí odkaz:
http://arxiv.org/abs/2410.01364
Question recommendation is a task that sequentially recommends questions for students to enhance their learning efficiency. That is, given the learning history and learning target of a student, a question recommender is supposed to select the questio
Externí odkaz:
http://arxiv.org/abs/2409.06177
In this study, we introduce a novel approach aimed at addressing the longstanding baryon-anti-baryon asymmetry conundrum. Our proposed mechanism suggests that baryon numbers were generated during the inflationary epoch through the dynamics of the inf
Externí odkaz:
http://arxiv.org/abs/2409.05833
The analysis of urban seismic signals offers valuable insights into urban environments and society, including seismic hazards, infrastructure conditions, human mobility, and cultural and social life. Yet, accurate detection and localization of urban
Externí odkaz:
http://arxiv.org/abs/2409.05820
Continuous seismic monitoring of the near-surface structure is crucial for urban infrastructure safety, aiding in the detection of sinkholes, subsidence, and other seismic hazards. Utilizing existing telecommunication optical fibers as Distributed Ac
Externí odkaz:
http://arxiv.org/abs/2408.14320
Timely and effective vulnerability patching is essential for cybersecurity defense, for which various approaches have been proposed yet still struggle to generate valid and correct patches for real-world vulnerabilities. In this paper, we leverage th
Externí odkaz:
http://arxiv.org/abs/2408.13597
Autor:
Zhou, Haipeng, Wang, Honqiu, Ye, Tian, Xing, Zhaohu, Ma, Jun, Li, Ping, Wang, Qiong, Zhu, Lei
Video Shadow Detection (VSD) aims to detect the shadow masks with frame sequence. Existing works suffer from inefficient temporal learning. Moreover, few works address the VSD problem by considering the characteristic (i.e., boundary) of shadow. Moti
Externí odkaz:
http://arxiv.org/abs/2408.11785
Traditional shadow detectors often identify all shadow regions of static images or video sequences. This work presents the Referring Video Shadow Detection (RVSD), which is an innovative task that rejuvenates the classic paradigm by facilitating the
Externí odkaz:
http://arxiv.org/abs/2408.08543