Zobrazeno 1 - 10
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pro vyhledávání: '"LI Yumeng"'
Autor:
WANG Dehao, ZHAO Pei, WANG Ziqing, YANG Erpeng, LI Yumeng, NIU Jicong, CHEN Yi, CHEN Ke, WANG Mingjing, LIU Weiyi, LYU Yan, HU Xiaomei
Publikováno v:
Zhongguo linchuang yanjiu, Vol 36, Iss 8, Pp 1189-1195 (2023)
ObjectiveTo further understand the factors that promote thrombosis in essential thrombocythemia （ET） that were not included in IPSET-thrombosis （International Prognostic Score of Thrombosis for ET）. MethodsA systematic evaluation was conducte
Externí odkaz:
https://doaj.org/article/cbabf013f92147a5ae898e81f1ae9fba
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Movement disorders are the main symptoms of neurological diseases such as Parkinson’s disease and deep learning-related methods can provide some intelligent solutions for the assessment and diagnosis of Parkinson’s movement disorders. In this pap
Externí odkaz:
https://doaj.org/article/206c920cfd7947f2a0da4aa98b4a5f8a
With the popularity of electric vehicles, the demand for lithium-ion batteries is increasing. Temperature significantly influences the performance and safety of batteries. Battery thermal management systems can effectively control the temperature of
Externí odkaz:
http://arxiv.org/abs/2411.09915
Current co-speech motion generation approaches usually focus on upper body gestures following speech contents only, while lacking supporting the elaborate control of synergistic full-body motion based on text prompts, such as talking while walking. T
Externí odkaz:
http://arxiv.org/abs/2410.00464
Foundation models (FMs) have revolutionized computer vision, enabling effective learning across different domains. However, their performance under domain shift is yet underexplored. This paper investigates the zero-shot domain adaptation potential o
Externí odkaz:
http://arxiv.org/abs/2407.03482
Autor:
Wang, Jiayi, Laube, Kevin Alexander, Li, Yumeng, Metzen, Jan Hendrik, Cheng, Shin-I, Borges, Julio, Khoreva, Anna
Recent work has shown great progress in integrating spatial conditioning to control large, pre-trained text-to-image diffusion models. Despite these advances, existing methods describe the spatial image content using hand-crafted conditioning inputs,
Externí odkaz:
http://arxiv.org/abs/2407.01790
Autor:
LI Yumeng, WANG Wencai
Publikováno v:
Meikuang Anquan, Vol 51, Iss 1, Pp 233-237 (2020)
To study the mechanical properties changes and deformation of the underground coal pillar dam body in the mine goaf in the underground working environment, the Lijiatun Coal Mine is taken as the research background, and the laboratory similar simulat
Externí odkaz:
https://doaj.org/article/d914007645654dc7b97d6a4a78cee2b5
Despite tremendous progress in the field of text-to-video (T2V) synthesis, open-sourced T2V diffusion models struggle to generate longer videos with dynamically varying and evolving content. They tend to synthesize quasi-static videos, ignoring the n
Externí odkaz:
http://arxiv.org/abs/2403.13501
Explicit pose prior models compress human poses into latent representations for using in pose-related downstream tasks. A desirable explicit pose prior model should satisfy three desirable abilities: 1) correctness, i.e. ensuring to generate physical
Externí odkaz:
http://arxiv.org/abs/2312.01104
Within the context of autonomous driving, encountering unknown objects becomes inevitable during deployment in the open world. Therefore, it is crucial to equip standard semantic segmentation models with anomaly awareness. Many previous approaches ha
Externí odkaz:
http://arxiv.org/abs/2308.09965