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of 140
pro vyhledávání: '"Zhu, Menglong"'
Cardiac motion tracking from echocardiography can be used to estimate and quantify myocardial motion within a cardiac cycle. It is a cost-efficient and effective approach for assessing myocardial function. However, ultrasound imaging has the inherent
Externí odkaz:
http://arxiv.org/abs/2407.04663
Autor:
Nie, Guhong, Xiao, Lirui, Zhu, Menglong, Chu, Dongliang, Shen, Yue, Li, Peng, Yang, Kang, Du, Li, Chen, Bo
For binary neural networks (BNNs) to become the mainstream on-device computer vision algorithm, they must achieve a superior speed-vs-accuracy tradeoff than 8-bit quantization and establish a similar degree of general applicability in vision tasks. T
Externí odkaz:
http://arxiv.org/abs/2202.03716
Heterogeneous reaction of NO2 with hematite: The effects of UV irradiation, O2 and relative humidity
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 5 June 2024 314
Autor:
Chen Zhihui, Xu Defeng, Zhu Menglong, Wang Yueting, Feng Junfan, Shu Chuancun, Xiao Si, Meng Jianqiao, He Jun
Publikováno v:
Nanophotonics, Vol 12, Iss 19, Pp 3781-3791 (2023)
As an important means of modern science and technology, multiphoton fluorescence plays an essential role in high-resolution imaging, photochemistry, micro- and nano-processing and clinical diagnosis. Multiphoton fluorescence usually shares the same r
Externí odkaz:
https://doaj.org/article/7894f89e09b545988d3cc0b733832a6b
Autor:
Liang, Ming, Peng, Hao, Xie, Weiwei, Yu, Bo, Han, Yu, Zhu, Menglong, Song, Guanxian, Huang, Nenghao
Publikováno v:
In Tunnelling and Underground Space Technology incorporating Trenchless Technology Research April 2024 146
Deep learning based object detectors are commonly deployed on mobile devices to solve a variety of tasks. For maximum accuracy, each detector is usually trained to solve one single specific task, and comes with a completely independent set of paramet
Externí odkaz:
http://arxiv.org/abs/2101.01260
Autor:
Fan, Deng-Ping, Lin, Zheng, Zhao, Jia-Xing, Liu, Yun, Zhang, Zhao, Hou, Qibin, Zhu, Menglong, Cheng, Ming-Ming
Publikováno v:
IEEE Transactions on neural networks and learning systems, 2021, 32(5): 2075-2089
The use of RGB-D information for salient object detection has been extensively explored in recent years. However, relatively few efforts have been put towards modeling salient object detection in real-world human activity scenes with RGBD. In this wo
Externí odkaz:
http://arxiv.org/abs/1907.06781
With a single eye fixation lasting a fraction of a second, the human visual system is capable of forming a rich representation of a complex environment, reaching a holistic understanding which facilitates object recognition and detection. This phenom
Externí odkaz:
http://arxiv.org/abs/1903.10172
Retrieving object instances among cluttered scenes efficiently requires compact yet comprehensive regional image representations. Intuitively, object semantics can help build the index that focuses on the most relevant regions. However, due to the la
Externí odkaz:
http://arxiv.org/abs/1812.01584
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