Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jiaao Zhang"'
Autor:
Yu Wu, Benjamin A. Temple, Nicole Sevilla, Jiaao Zhang, Hanlin Zhu, Pavlo Zolotavin, Yifu Jin, Daniela Duarte, Elischa Sanders, Eiman Azim, Axel Nimmerjahn, Samuel L. Pfaff, Lan Luan, Chong Xie
Publikováno v:
Cell Reports, Vol 43, Iss 5, Pp 114199- (2024)
Summary: Implantable electrode arrays are powerful tools for directly interrogating neural circuitry in the brain, but implementing this technology in the spinal cord in behaving animals has been challenging due to the spinal cord’s significant mot
Externí odkaz:
https://doaj.org/article/23168b83e8c049899868a6d31332aa1d
Publikováno v:
Materials, Vol 17, Iss 18, p 4649 (2024)
Direct current (DC) and pulsed DC tungsten inert gas (TIG) additive manufacturing processes were employed to fabricate GH4169 high-temperature alloy specimens. Upon comparing and analysing the two additive manufacturing methods, the evolution of micr
Externí odkaz:
https://doaj.org/article/2818d1df53dc411cb85e9f8666a7bc8f
Autor:
Jacob Ewing, Cheyenne Lynsky, Jiaao Zhang, Pavel Shapturenka, Matthew Wong, Jordan Smith, Michael Iza, James S. Speck, Stephen P. DenBaars
Publikováno v:
Crystals, Vol 12, Iss 9, p 1216 (2022)
Achieving high quantum efficiency in long-wavelength LEDs has posed a significant challenge to the solid-state lighting and display industries. In this article, we use V-defect engineering as a technique to achieve higher efficiencies in red InGaN LE
Externí odkaz:
https://doaj.org/article/eb73ad91fa2343e8863bd765b2988c89
Publikováno v:
IEEE Robotics and Automation Letters. 7:10097-10104
Publikováno v:
2021 IEEE International Conference on Multimedia and Expo (ICME).
Low-light image enhancement has traditionally been tackled by training a heuristically designed neural network architecture. Despite the success of these approaches, the heuristic design pattern inherently not only hinders further optimization of net
Publikováno v:
IEEE transactions on neural networks and learning systems. 33(10)
Enhancing the quality of low-light images plays a very important role in many image processing and multimedia applications. In recent years, a variety of deep learning techniques have been developed to address this challenging task. A typical framewo
Publikováno v:
Artificial Intelligence ISBN: 9783030930455
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94839c9f0424104a2afd1ac4f810ef57
https://doi.org/10.1007/978-3-030-93046-2_21
https://doi.org/10.1007/978-3-030-93046-2_21
Publikováno v:
CVPR
Low-light image enhancement plays very important roles in low-level vision areas. Recent works have built a great deal of deep learning models to address this task. However, these approaches mostly rely on significant architecture engineering and suf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbf53316ea5ad57c649441fb3845c8b3
http://arxiv.org/abs/2012.05609
http://arxiv.org/abs/2012.05609
Publikováno v:
ICASSP
The under-exposure and low-light environments are common to degrade the image-quality with invisible information. To ameliorate this case, a copious of low-light image enhancement methods are developed. However, these existing works are hard to handl
Publikováno v:
ICME
Most existing monocular depth estimation approaches are su- pervised, but enough quantities of ground truth depth data are required during training. To cope with this, recent techniques deal with the depth estimation task in an unsupervised man- ner,