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pro vyhledávání: '"Chen, C L"'
Generating compact and sharply detailed 3D meshes poses a significant challenge for current 3D generative models. Different from extracting dense meshes from neural representation, some recent works try to model the native mesh distribution (i.e., a
Externí odkaz:
http://arxiv.org/abs/2405.16890
Underwater images often suffer from various issues such as low brightness, color shift, blurred details, and noise due to light absorption and scattering caused by water and suspended particles. Previous underwater image enhancement (UIE) methods hav
Externí odkaz:
http://arxiv.org/abs/2404.17936
Low-light remote sensing images generally feature high resolution and high spatial complexity, with continuously distributed surface features in space. This continuity in scenes leads to extensive long-range correlations in spatial domains within rem
Externí odkaz:
http://arxiv.org/abs/2404.17400
Semi-supervised learning provides a solution to reduce the dependency of machine learning on labeled data. As one of the efficient semi-supervised techniques, self-training (ST) has received increasing attention. Several advancements have emerged to
Externí odkaz:
http://arxiv.org/abs/2404.12398
Autor:
Yuan, Haofeng, Zhu, Rongping, Yang, Wanlu, Song, Shiji, You, Keyou, Fan, Wei, Chen, C. L. Philip
The traveling purchaser problem (TPP) is an important combinatorial optimization problem with broad applications. Due to the coupling between routing and purchasing, existing works on TPPs commonly address route construction and purchase planning sim
Externí odkaz:
http://arxiv.org/abs/2404.02476
Autor:
Weng, Haohan, Huang, Danqing, Qiao, Yu, Hu, Zheng, Lin, Chin-Yew, Zhang, Tong, Chen, C. L. Philip
Templates serve as a good starting point to implement a design (e.g., banner, slide) but it takes great effort from designers to manually create. In this paper, we present Desigen, an automatic template creation pipeline which generates background im
Externí odkaz:
http://arxiv.org/abs/2403.09093
This paper delves into an in-depth exploration of the Variable Projection (VP) algorithm, a powerful tool for solving separable nonlinear optimization problems across multiple domains, including system identification, image processing, and machine le
Externí odkaz:
http://arxiv.org/abs/2402.13865
In recent years, the detection of infrared small targets using deep learning methods has garnered substantial attention due to notable advancements. To improve the detection capability of small targets, these methods commonly maintain a pathway that
Externí odkaz:
http://arxiv.org/abs/2402.05410
Autor:
Zhu, Chengyuan, Yang, Yiyuan, Yang, Kaixiang, Zhang, Haifeng, Yang, Qinmin, Chen, C. L. Philip
The application of artificial intelligence technology has greatly enhanced and fortified the safety of energy pipelines, particularly in safeguarding against external threats. The predominant methods involve the integration of intelligent sensors to
Externí odkaz:
http://arxiv.org/abs/2312.11583
Autor:
Weng, Haohan, Yang, Tianyu, Wang, Jianan, Li, Yu, Zhang, Tong, Chen, C. L. Philip, Zhang, Lei
Large image diffusion models enable novel view synthesis with high quality and excellent zero-shot capability. However, such models based on image-to-image translation have no guarantee of view consistency, limiting the performance for downstream tas
Externí odkaz:
http://arxiv.org/abs/2310.08092