Zobrazeno 1 - 10
of 2 700
pro vyhledávání: '"Wang Shiqi"'
Publikováno v:
Shuitu Baochi Xuebao, Vol 38, Iss 2, Pp 205-215 (2024)
[Objective] To seek a new urban development plan of Hefei under the guidance of “double carbon” goal. [Methods] Based on the land use data of Hefei City in the 5th period from 2000 to 2020, under the guidance of territorial spatial Planning of He
Externí odkaz:
https://doaj.org/article/536cae2e1c5a48da80dc0aaf65a69e71
Autor:
Guo Fangyin, Lin Fangrui, Shen Binglin, Wang Shiqi, Li Yanping, Guo Jiaqing, Chen Yongqiang, Liu Yuqing, Lu Yuan, Hu Rui, He Jun, Liao Changrui, Wang Yiping, Qu Junle, Liu Liwei
Publikováno v:
Nanophotonics, Vol 13, Iss 2, Pp 217-227 (2024)
Basal cell carcinoma (BCC) is a common type of skin cancer. Conventional approaches to BCC diagnosis often involve invasive histological examinations that can distort or even destroy information derived from the biomolecules in the sample. Therefore,
Externí odkaz:
https://doaj.org/article/4928d5821d944aed83fd55e20903b3e4
Autor:
An Wa, Wang Shaobin, Chen Ye, Wu Qiang, Wu Changyu, Wang Kai, Wang Shiqi, Chen Huachun, Chen Zhihao
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 7, Iss 2, Pp 745-756 (2022)
This study aims to explore how the insurance business can combine artificial intelligence (AI), huge data technology and good design under the ecological background of AIoT to improve the efficiency of double-entry in the insurance business and impro
Externí odkaz:
https://doaj.org/article/774a8b897d2244788e90561dd6f9f1b1
Publikováno v:
Di-san junyi daxue xuebao, Vol 44, Iss 10, Pp 1018-1024 (2022)
Objective To determine the improving effect of salvianolic acid B on renal interstitial fibrosis (RIF) of rats with unilateral ureteral obstruction (UUO) based on ferroptosis mediated by nuclear factor erythroid 2-related factor 2 (Nrf2)-glutathione
Externí odkaz:
https://doaj.org/article/a8aad2d8e88c49d4b8a9b0ba5319f488
Autor:
Chen, Bolin, Ye, Yan, Chen, Jie, Liao, Ru-Ling, Yin, Shanzhi, Wang, Shiqi, Yang, Kaifa, Li, Yue, Xu, Yiling, Wang, Ye-Kui, Gehlot, Shiv, Su, Guan-Ming, Yin, Peng, McCarthy, Sean, Sullivan, Gary J.
This paper proposes a Generative Face Video Compression (GFVC) approach using Supplemental Enhancement Information (SEI), where a series of compact spatial and temporal representations of a face video signal (i.e., 2D/3D key-points, facial semantics
Externí odkaz:
http://arxiv.org/abs/2410.15105
Current test- or compression-time adaptation image compression (TTA-IC) approaches, which leverage both latent and decoder refinements as a two-step adaptation scheme, have potentially enhanced the rate-distortion (R-D) performance of learned image c
Externí odkaz:
http://arxiv.org/abs/2410.12191
In this paper, we propose a novel Multi-granularity Temporal Trajectory Factorization framework for generative human video compression, which holds great potential for bandwidth-constrained human-centric video communication. In particular, the propos
Externí odkaz:
http://arxiv.org/abs/2410.10171
This paper proposes to learn generative priors from the motion patterns instead of video contents for generative video compression. The priors are derived from small motion dynamics in common scenes such as swinging trees in the wind and floating boa
Externí odkaz:
http://arxiv.org/abs/2410.09768
Autor:
Wang, Qi, Li, Jindong, Wang, Shiqi, Xing, Qianli, Niu, Runliang, Kong, He, Li, Rui, Long, Guodong, Chang, Yi, Zhang, Chengqi
Large language models (LLMs) have not only revolutionized the field of natural language processing (NLP) but also have the potential to bring a paradigm shift in many other fields due to their remarkable abilities of language understanding, as well a
Externí odkaz:
http://arxiv.org/abs/2410.19744
Autor:
Chen, Bolin, Yin, Shanzhi, Zhang, Zihan, Chen, Jie, Liao, Ru-Ling, Zhu, Lingyu, Wang, Shiqi, Ye, Yan
Recently, deep generative models have greatly advanced the progress of face video coding towards promising rate-distortion performance and diverse application functionalities. Beyond traditional hybrid video coding paradigms, Generative Face Video Co
Externí odkaz:
http://arxiv.org/abs/2410.08485