Zobrazeno 1 - 10
of 17 268
pro vyhledávání: '"Gao, Fei"'
We introduce a hierarchy of tests satisfied by any probability distribution $P$ that represents the quantum correlations generated in prepare-and-measure (P\&M) quantum chain-shaped networks, assuming only the inner-product information of the non-ort
Externí odkaz:
http://arxiv.org/abs/2409.17185
Three-dimensional (3D) medical images, such as Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), are essential for clinical applications. However, the need for diverse and comprehensive representations is particularly pronounced when con
Externí odkaz:
http://arxiv.org/abs/2409.08691
Autor:
Zhang, Mengke, Chen, Nanhe, Wang, Hu, Qiu, Jianxiong, Han, Zhichao, Ren, Qiuyu, Xu, Chao, Gao, Fei, Cao, Yanjun
Differential drive robots are widely used in various scenarios thanks to their straightforward principle, from household service robots to disaster response field robots. There are several types of driving mechanisms for real-world applications, incl
Externí odkaz:
http://arxiv.org/abs/2409.07924
Autor:
Shi, Pujin, Gao, Fei
In this paper, we propose a solution for the semi-supervised learning track (MER-SEMI) in MER2024. First, in order to enhance the performance of the feature extractor on sentiment classification tasks,we fine-tuned video and text feature extractors,
Externí odkaz:
http://arxiv.org/abs/2409.05007
Autor:
Yao, Bowei, Cui, Shilong, Dai, Haizhao, Wu, Qing, Xiao, Youshen, Gao, Fei, Yu, Jingyi, Zhang, Yuyao, Cai, Xiran
High-quality imaging in photoacoustic computed tomography (PACT) usually requires a high-channel count system for dense spatial sampling around the object to avoid aliasing-related artefacts. To reduce system complexity, various image reconstruction
Externí odkaz:
http://arxiv.org/abs/2409.13696
Flying through body-size narrow gaps in the environment is one of the most challenging moments for an underactuated multirotor. We explore a purely data-driven method to master this flight skill in simulation, where a neural network directly maps pix
Externí odkaz:
http://arxiv.org/abs/2409.00895
Autor:
Wan, Pengcheng, Zhang, Fan, Shen, Yuting, Shang, Xin, Zhao, Hulin, Liu, Shuangli, Feng, Xiaohua, Gao, Fei
Photoacoustic imaging (PAI) combines the high contrast of optical imaging with the deep penetration depth of ultrasonic imaging, showing great potential in cerebrovascular disease detection. However, the ultrasonic wave suffers strong attenuation and
Externí odkaz:
http://arxiv.org/abs/2408.11885
Integrated sensing and communications (ISAC) is considered a promising technology in the B5G/6G networks. The channel model is essential for an ISAC system to evaluate the communication and sensing performance. Most existing channel modeling studies
Externí odkaz:
http://arxiv.org/abs/2408.11295
Autor:
Zheng, Yuwei, Gao, Zijian, Shen, Yuting, Zhang, Jiadong, Jiang, Daohuai, Liu, Fengyu, Gao, Feng, Gao, Fei
Photoacoustic (PA) imaging technology combines the advantages of optical imaging and ultrasound imaging, showing great potential in biomedical applications. Many preclinical studies and clinical applications urgently require fast, high-quality, low-c
Externí odkaz:
http://arxiv.org/abs/2408.06049
Just as humans can become disoriented in featureless deserts or thick fogs, not all environments are conducive to the Localization Accuracy and Stability (LAS) of autonomous robots. This paper introduces an efficient framework designed to enhance LiD
Externí odkaz:
http://arxiv.org/abs/2408.01649