Zobrazeno 1 - 10
of 343
pro vyhledávání: '"HAN Longfei"'
Low-light image enhancement, particularly in cross-domain tasks such as mapping from the raw domain to the sRGB domain, remains a significant challenge. Many deep learning-based methods have been developed to address this issue and have shown promisi
Externí odkaz:
http://arxiv.org/abs/2409.07040
Intelligent Transportation Systems (ITS) can benefit from roadside 4D mmWave radar sensors for large-scale traffic monitoring due to their weatherproof functionality, long sensing range and low manufacturing cost. However, the localization method usi
Externí odkaz:
http://arxiv.org/abs/2407.03084
Polyp segmentation plays a pivotal role in colorectal cancer diagnosis. Recently, the emergence of the Segment Anything Model (SAM) has introduced unprecedented potential for polyp segmentation, leveraging its powerful pre-training capability on larg
Externí odkaz:
http://arxiv.org/abs/2407.00718
4D mmWave radar sensors are suitable for roadside perception in city-scale Intelligent Transportation Systems (ITS) due to their long sensing range, weatherproof functionality, simple mechanical design, and low manufacturing cost. In this work, we in
Externí odkaz:
http://arxiv.org/abs/2404.01166
Both visual and auditory information are valuable to determine the salient regions in videos. Deep convolution neural networks (CNN) showcase strong capacity in coping with the audio-visual saliency prediction task. Due to various factors such as sho
Externí odkaz:
http://arxiv.org/abs/2208.05220
Previous knowledge distillation (KD) methods mostly focus on compressing network architectures, which is not thorough enough in deployment as some costs like transmission bandwidth and imaging equipment are related to the image size. Therefore, we pr
Externí odkaz:
http://arxiv.org/abs/2112.09532
Publikováno v:
In Optics Communications 15 August 2024 565
Autor:
Li, Xingjun, Li, Zhirui, Zhang, Weijie, Jiang, Xin, Han, Longfei, Wang, Xiaodong, Kan, Yongchun, Song, Lei, Hu, Yuan
Publikováno v:
In Chemical Engineering Journal 15 June 2024 490
Autor:
GAO Yunpeng, LIU Jing, HAN Longfei, SHAO Yanxiu, YAO Wenqian, XU Jing, HU Guiming, WANG Zijun, QU Ziyi, XU Enmin
Publikováno v:
Dizhi lixue xuebao, Vol 29, Iss 5, Pp 704-719 (2023)
The magnitude is an important parameter that characterizes the size of earthquakes. However, in paleoearthquake studies, it is difficult to precisely determine the rupture parameters closely related to seismic moment, making it challenging to directl
Externí odkaz:
https://doaj.org/article/e6aa89f6628c4121a25f8b4b50b07bd1
Publikováno v:
In Journal of Power Sources 15 May 2024 602