Zobrazeno 1 - 10
of 10 556
pro vyhledávání: '"An Yingfeng"'
Autor:
Zhang, Weiyi, Huang, Siyu, Yang, Jiancheng, Chen, Ruoyu, Ge, Zongyuan, Zheng, Yingfeng, Shi, Danli, He, Mingguang
Fundus Fluorescein Angiography (FFA) is a critical tool for assessing retinal vascular dynamics and aiding in the diagnosis of eye diseases. However, its invasive nature and less accessibility compared to Color Fundus (CF) images pose significant cha
Externí odkaz:
http://arxiv.org/abs/2408.15217
Autor:
Chen, Shiyuan, Zhang, Jiaxin, Mei, Ruohong, Cai, Yingfeng, Yin, Haoran, Chen, Tao, Sui, Wei, Yang, Cong
The recent development of online static map element (a.k.a. HD map) construction algorithms has raised a vast demand for data with ground truth annotations. However, available public datasets currently cannot provide high-quality training data regard
Externí odkaz:
http://arxiv.org/abs/2407.21331
Autor:
Liu, Xiaoqian, Hu, Guoqiang, Du, Yangfan, He, Erfeng, Luo, Yingfeng, Xu, Chen, Xiao, Tong, Zhu, Jingbo
Simultaneous speech translation (SimulST) is a demanding task that involves generating translations in real-time while continuously processing speech input. This paper offers a comprehensive overview of the recent developments in SimulST research, fo
Externí odkaz:
http://arxiv.org/abs/2406.00497
Autor:
Shi, Danli, Zhang, Weiyi, Chen, Xiaolan, Liu, Yexin, Yang, Jiancheng, Huang, Siyu, Tham, Yih Chung, Zheng, Yingfeng, He, Mingguang
Artificial intelligence (AI) is vital in ophthalmology, tackling tasks like diagnosis, classification, and visual question answering (VQA). However, existing AI models in this domain often require extensive annotation and are task-specific, limiting
Externí odkaz:
http://arxiv.org/abs/2405.11338
Prompting has become a mainstream paradigm for adapting large language models (LLMs) to specific natural language processing tasks. While this approach opens the door to in-context learning of LLMs, it brings the additional computational burden of mo
Externí odkaz:
http://arxiv.org/abs/2404.01077
As a part of the perception results of intelligent driving systems, static object detection (SOD) in 3D space provides crucial cues for driving environment understanding. With the rapid deployment of deep neural networks for SOD tasks, the demand for
Externí odkaz:
http://arxiv.org/abs/2403.15026
We study the relation between the persistent homology and the spectral sequence of a filtered chain complex over a field. Our method is based on a decomposition of the persistent homology. We demonstrate that, under fairly general assumptions, these
Externí odkaz:
http://arxiv.org/abs/2403.06078
Publikováno v:
IEEE Journal of Biomedical and Health Informatics, 2024
To promote the generalization ability of breast tumor segmentation models, as well as to improve the segmentation performance for breast tumors with smaller size, low-contrast and irregular shape, we propose a progressive dual priori network (PDPNet)
Externí odkaz:
http://arxiv.org/abs/2310.13574
Open source software brings benefit to software community, but also introduces legal risks caused by license violations, which result in serious consequences such as lawsuits and financial losses. To mitigate legal risks, some approaches have been pr
Externí odkaz:
http://arxiv.org/abs/2310.07991
Object detection is the central issue of intelligent traffic systems, and recent advancements in single-vehicle lidar-based 3D detection indicate that it can provide accurate position information for intelligent agents to make decisions and plan. Com
Externí odkaz:
http://arxiv.org/abs/2310.06603