Zobrazeno 1 - 10
of 309
pro vyhledávání: '"Miao Bo"'
Publikováno v:
Journal of Medical Biochemistry, Vol 43, Iss 5, Pp 704-710 (2024)
Background: The aim of the study was to examine the significance of plasma Transforming Growth Factor-1/TGF-b1 (TGF-b1) level testing in patients with Type 2 Diabetes Mellitus (T2DM) and heart failure. Methods: A sample of T2DM patients who were hosp
Externí odkaz:
https://doaj.org/article/86a3a0272d4c4341b4b9df1a27a20453
Publikováno v:
Journal of Medical Biochemistry, Vol 43, Iss 2, Pp 193-199 (2024)
Background: To explore the correlation between serum uric acid (SUA) and prognosis in patients with chronic heart failure (CHF) after revascularization. Methods: A total of 126 patients with CHF undergoing revascularization [coronary artery intervent
Externí odkaz:
https://doaj.org/article/6e8df0bc3c6543d286f85ecc19133314
We introduce Referring Human Pose and Mask Estimation (R-HPM) in the wild, where either a text or positional prompt specifies the person of interest in an image. This new task holds significant potential for human-centric applications such as assisti
Externí odkaz:
http://arxiv.org/abs/2410.20508
Current methods for Video Moment Retrieval (VMR) struggle to align complex situations involving specific environmental details, character descriptions, and action narratives. To tackle this issue, we propose a Large Language Model-guided Moment Retri
Externí odkaz:
http://arxiv.org/abs/2405.12540
Referring Video Object Segmentation (R-VOS) methods face challenges in maintaining consistent object segmentation due to temporal context variability and the presence of other visually similar objects. We propose an end-to-end R-VOS paradigm that exp
Externí odkaz:
http://arxiv.org/abs/2403.19407
Generating realistic 3D scenes is challenging due to the complexity of room layouts and object geometries.We propose a sketch based knowledge enhanced diffusion architecture (SEK) for generating customized, diverse, and plausible 3D scenes. SEK condi
Externí odkaz:
http://arxiv.org/abs/2403.14121
Current referring video object segmentation (R-VOS) techniques extract conditional kernels from encoded (low-resolution) vision-language features to segment the decoded high-resolution features. We discovered that this causes significant feature drif
Externí odkaz:
http://arxiv.org/abs/2307.13537
Current semi-supervised video object segmentation (VOS) methods usually leverage the entire features of one frame to predict object masks and update memory. This introduces significant redundant computations. To reduce redundancy, we present a Region
Externí odkaz:
http://arxiv.org/abs/2207.10258
Autor:
Liu, Yichen, Miao, Bo, Li, Wenying, Hu, Xingjun, Bai, Fan, Abuduresule, Yidilisi, Liu, Yalin, Zheng, Zequan, Wang, Wenjun, Chen, Zehui, Zhu, Shilun, Feng, Xiaotian, Cao, Peng, Ping, Wanjing, Yang, Ruowei, Dai, Qingyan, Liu, Feng, Tian, Chan, Yang, Yimin, Fu, Qiaomei
Publikováno v:
In Cell 17 October 2024 187(21):5891-5900