Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Su Yuchen"'
Autor:
SU Yuchen, MA Changshe
Publikováno v:
网络与信息安全学报, Vol 10, Pp 165-181 (2024)
Recently, the concept of partially precomputed indexing for Structured query language (SQL) join (PpSj), which was predicated on structured encryption, has been introduced. This approach employed partial precomputed index join and hash filter set tec
Externí odkaz:
https://doaj.org/article/ba0f00922c67471a969726c0675b4376
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 44, Iss 1, Pp 116-123 (2024)
Objective·To compare the prognostic effects of radical resection of esophageal cancer, concurrent chemoradiotherapy and simple follow-up observation on the prognosis of patients with T1b invasion of superficial esophageal squamous cell carcinoma aft
Externí odkaz:
https://doaj.org/article/29786ff748fb48e3a6122d1ed5f28389
Publikováno v:
Security and Safety, Vol 3, p 2023025 (2024)
Jamming attacks and unintentional radio interference are some of the most urgent threats harming the dependability of wireless communication and endangering the successful deployment of pervasive applications built on top of wireless networks. Unlike
Externí odkaz:
https://doaj.org/article/d3565eb3ab674e598ffe6542474e55b5
Connected component (CC) is a proper text shape representation that aligns with human reading intuition. However, CC-based text detection methods have recently faced a developmental bottleneck that their time-consuming post-processing is difficult to
Externí odkaz:
http://arxiv.org/abs/2412.14692
Autor:
Ding, Kairui, Chen, Boyuan, Su, Yuchen, Gao, Huan-ang, Jin, Bu, Sima, Chonghao, Zhang, Wuqiang, Li, Xiaohui, Barsch, Paul, Li, Hongyang, Zhao, Hao
End-to-end architectures in autonomous driving (AD) face a significant challenge in interpretability, impeding human-AI trust. Human-friendly natural language has been explored for tasks such as driving explanation and 3D captioning. However, previou
Externí odkaz:
http://arxiv.org/abs/2409.06702
Multi-modal models show appealing performance in visual recognition tasks recently, as free-form text-guided training evokes the ability to understand fine-grained visual content. However, current models are either inefficient or cannot be trivially
Externí odkaz:
http://arxiv.org/abs/2401.17851
Contour based scene text detection methods have rapidly developed recently, but still suffer from inaccurate frontend contour initialization, multi-stage error accumulation, or deficient local information aggregation. To tackle these limitations, we
Externí odkaz:
http://arxiv.org/abs/2307.13310
Autor:
Su, Yuchen, Chen, Zhineng, Shao, Zhiwen, Du, Yuning, Ji, Zhilong, Bai, Jinfeng, Zhou, Yong, Jiang, Yu-Gang
Recently, regression-based methods, which predict parameterized text shapes for text localization, have gained popularity in scene text detection. However, the existing parameterized text shape methods still have limitations in modeling arbitrary-sha
Externí odkaz:
http://arxiv.org/abs/2306.15142
Arbitrary-shaped scene text detection is a challenging task due to the variety of text changes in font, size, color, and orientation. Most existing regression based methods resort to regress the masks or contour points of text regions to model the te
Externí odkaz:
http://arxiv.org/abs/2206.13381
Publikováno v:
In Journal of Hazardous Materials 5 December 2024 480