Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Gu Jinjin"'
Publikováno v:
Open Medicine, Vol 17, Iss 1, Pp 1584-1598 (2022)
Esophageal squamous cell carcinoma (ESCC) is an aggressive malignant tumor with a poor prognosis. The dysregulation of long non-coding RNAs (lncRNAs) is closely related to the tumorigenesis and progression of ESCC. However, the effects of lncRNA smal
Externí odkaz:
https://doaj.org/article/cb8491d953e946558e5415c9a046cc32
Real-world image restoration (IR) is inherently complex and often requires combining multiple specialized models to address diverse degradations. Inspired by human problem-solving, we propose AgenticIR, an agentic system that mimics the human approac
Externí odkaz:
http://arxiv.org/abs/2410.17809
We introduce a novel Multi-modal Guided Real-World Face Restoration (MGFR) technique designed to improve the quality of facial image restoration from low-quality inputs. Leveraging a blend of attribute text prompts, high-quality reference images, and
Externí odkaz:
http://arxiv.org/abs/2410.04161
This paper introduces a novel approach that leverages Large Language Models (LLMs) and Generative Agents to enhance time series forecasting by reasoning across both text and time series data. With language as a medium, our method adaptively integrate
Externí odkaz:
http://arxiv.org/abs/2409.17515
Despite the tremendous success of deep models in various individual image restoration tasks, there are at least two major technical challenges preventing these works from being applied to real-world usages: (1) the lack of generalization ability and
Externí odkaz:
http://arxiv.org/abs/2408.15143
Autor:
Hu, Jinfan, Gu, Jinjin, Yu, Shiyao, Yu, Fanghua, Li, Zheyuan, You, Zhiyuan, Lu, Chaochao, Dong, Chao
Deep neural networks have significantly improved the performance of low-level vision tasks but also increased the difficulty of interpretability. A deep understanding of deep models is beneficial for both network design and practical reliability. To
Externí odkaz:
http://arxiv.org/abs/2407.19789
Autor:
Chen, Haoyu, Li, Wenbo, Gu, Jinjin, Ren, Jingjing, Chen, Sixiang, Ye, Tian, Pei, Renjing, Zhou, Kaiwen, Song, Fenglong, Zhu, Lei
Natural images captured by mobile devices often suffer from multiple types of degradation, such as noise, blur, and low light. Traditional image restoration methods require manual selection of specific tasks, algorithms, and execution sequences, whic
Externí odkaz:
http://arxiv.org/abs/2407.18035
Publikováno v:
Land, Vol 12, Iss 2, p 289 (2023)
Some lakeside cities may suffer from urban waterlogging owing to the backwater effect caused by the rise of lake water levels under a extreme rainfall scenario in the basin, but it is not suitable for large-scale gray drainage infrastructure upgradin
Externí odkaz:
https://doaj.org/article/ef520cfa7cd243e381f5bd352c295362
With the rapid advancement of Vision Language Models (VLMs), VLM-based Image Quality Assessment (IQA) seeks to describe image quality linguistically to align with human expression and capture the multifaceted nature of IQA tasks. However, current met
Externí odkaz:
http://arxiv.org/abs/2405.18842
The success of large language models (LLMs) has fostered a new research trend of multi-modality large language models (MLLMs), which changes the paradigm of various fields in computer vision. Though MLLMs have shown promising results in numerous high
Externí odkaz:
http://arxiv.org/abs/2405.15734