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pro vyhledávání: '"DONG, CHAO"'
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
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
Building a unified model for general low-level vision tasks holds significant research and practical value. Current methods encounter several critical issues. Multi-task restoration approaches can address multiple degradation-to-clean restoration tas
Externí odkaz:
http://arxiv.org/abs/2408.08601
With the rapid increment of multiple users for data offloading and computation, it is challenging to guarantee the quality of service (QoS) in remote areas. To deal with the challenge, it is promising to combine aerial access networks (AANs) with mul
Externí odkaz:
http://arxiv.org/abs/2408.02037
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:
Dong, Chao-Ping, Wong, Kayue Daniel
In this paper, we give a proof of Vogan's fundamental parallelepiped (FPP) conjecture for complex simple Lie groups, resulting in a reduction step in the classification of irreducible unitary representations for these groups.
Comment: 18 pages
Comment: 18 pages
Externí odkaz:
http://arxiv.org/abs/2407.16512
Traditional single-task image restoration methods excel in handling specific degradation types but struggle with multiple degradations. To address this limitation, we propose Grouped Restoration with Image Degradation Similarity (GRIDS), a novel appr
Externí odkaz:
http://arxiv.org/abs/2407.12273
Due to the advantages of high mobility and easy deployment, unmanned aerial vehicles (UAVs) are widely applied in both military and civilian fields. In order to strengthen the flight surveillance of UAVs and guarantee the airspace safety, UAVs can be
Externí odkaz:
http://arxiv.org/abs/2406.08038
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