Zobrazeno 1 - 10
of 1 035
pro vyhledávání: '"Li Ziqiang"'
Publikováno v:
Guan'gai paishui xuebao, Vol 41, Iss 11, Pp 139-146 (2022)
【Objective】 Rational allocation of water resources is a key measure to solve the problem of water resource utilization and depends on water efficiency and water equity. As the main body of agricultural production, reducing the burden of farmers
Externí odkaz:
https://doaj.org/article/518d5ecc223e49908b239292d02df4d7
Publikováno v:
Journal of the Serbian Chemical Society, Vol 87, Iss 5, Pp 603-614 (2022)
The potentiostat is critical in the development of electrochemical systems; however, its cumbersome detection and high cost considerably limit its large-scale application. To provide an affordable alternative to developing countries and resource-cons
Externí odkaz:
https://doaj.org/article/5b27ba27821f43ccaaf6b4ab35bc5be0
3D-aware image generation necessitates extensive training data to ensure stable training and mitigate the risk of overfitting. This paper first considers a novel task known as One-shot 3D Generative Domain Adaptation (GDA), aimed at transferring a pr
Externí odkaz:
http://arxiv.org/abs/2410.08824
Autor:
Li, Jia, Yu, Yangchen, Chen, Yin, Zhang, Yu, Jia, Peng, Xu, Yunbo, Li, Ziqiang, Wang, Meng, Hong, Richang
Engagement estimation plays a crucial role in understanding human social behaviors, attracting increasing research interests in fields such as affective computing and human-computer interaction. In this paper, we propose a Dialogue-Aware Transformer
Externí odkaz:
http://arxiv.org/abs/2410.08470
Autor:
Wang, Yunnan, Li, Ziqiang, Zhang, Zequn, Zhang, Wenyao, Xie, Baao, Liu, Xihui, Zeng, Wenjun, Jin, Xin
There has been exciting progress in generating images from natural language or layout conditions. However, these methods struggle to faithfully reproduce complex scenes due to the insufficient modeling of multiple objects and their relationships. To
Externí odkaz:
http://arxiv.org/abs/2410.00447
With the burgeoning advancements in the field of natural language processing (NLP), the demand for training data has increased significantly. To save costs, it has become common for users and businesses to outsource the labor-intensive task of data c
Externí odkaz:
http://arxiv.org/abs/2408.11587
Drawing on recent advancements in diffusion models for text-to-image generation, identity-preserved personalization has made significant progress in accurately capturing specific identities with just a single reference image. However, existing method
Externí odkaz:
http://arxiv.org/abs/2403.11781
The proliferation of malicious deepfake applications has ignited substantial public apprehension, casting a shadow of doubt upon the integrity of digital media. Despite the development of proficient deepfake detection mechanisms, they persistently de
Externí odkaz:
http://arxiv.org/abs/2403.06610
Autor:
Jin, Xin, Li, Bohan, Xie, BAAO, Zhang, Wenyao, Liu, Jinming, Li, Ziqiang, Yang, Tao, Zeng, Wenjun
Representation disentanglement may help AI fundamentally understand the real world and thus benefit both discrimination and generation tasks. It currently has at least three unresolved core issues: (i) heavy reliance on label annotation and synthetic
Externí odkaz:
http://arxiv.org/abs/2402.02346
Dynamical behaviors of complex interacting systems, including brain activities, financial price movements, and physical collective phenomena, are associated with underlying interactions between the system's components. The issue of uncovering interac
Externí odkaz:
http://arxiv.org/abs/2401.16755