Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Cheng Junhao"'
Research on relationship between tailing slurry concentration and ultrasonic attenuation coefficient
Autor:
WANG Jianxin, CHENG Junhao
Publikováno v:
Gong-kuang zidonghua, Vol 46, Iss 2, Pp 45-49 (2020)
In view of problem that the current tailing slurry concentration measurement method based on ultrasonic method does not directly express correlation between concentration and scattering attenuation coefficients and viscous attenuation coefficients, t
Externí odkaz:
https://doaj.org/article/9cabd921dd6f49b2a78c80ef213d7b8c
Autor:
Cheng, Junhao, Lu, Xi, Li, Hanhui, Zai, Khun Loun, Yin, Baiqiao, Cheng, Yuhao, Yan, Yiqiang, Liang, Xiaodan
As cutting-edge Text-to-Image (T2I) generation models already excel at producing remarkable single images, an even more challenging task, i.e., multi-turn interactive image generation begins to attract the attention of related research communities. T
Externí odkaz:
http://arxiv.org/abs/2406.01388
Autor:
Cheng, Junhao, Yin, Baiqiao, Cai, Kaixin, Huang, Minbin, Li, Hanhui, He, Yuxin, Lu, Xi, Li, Yue, Li, Yifei, Cheng, Yuhao, Yan, Yiqiang, Liang, Xiaodan
Recent advances in diffusion models can generate high-quality and stunning images from text. However, multi-turn image generation, which is of high demand in real-world scenarios, still faces challenges in maintaining semantic consistency between ima
Externí odkaz:
http://arxiv.org/abs/2404.18919
Publikováno v:
In Energy 15 December 2024 312
Publikováno v:
In Computer Physics Communications November 2024 304
Publikováno v:
In Chemical Engineering Journal 1 April 2024 485
Publikováno v:
In Ecological Indicators March 2024 160
Crowd counting is an important yet challenging task in computer vision due to serious occlusions, complex background and large scale variations, etc. Multi-column architecture is widely adopted to overcome these challenges, yielding state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2007.05779
Publikováno v:
In Computer Aided Geometric Design September 2023 105
We seek to improve crowd counting as we perceive limits of currently prevalent density map estimation approach on both prediction accuracy and time efficiency. We leverage multilevel pixelation of density map as it helps improve SNR of training data
Externí odkaz:
http://arxiv.org/abs/1908.03314