Zobrazeno 1 - 10
of 10 734
pro vyhledávání: '"PENG, Yan"'
Multimodal deepfakes involving audiovisual manipulations are a growing threat because they are difficult to detect with the naked eye or using unimodal deep learningbased forgery detection methods. Audiovisual forensic models, while more capable than
Externí odkaz:
http://arxiv.org/abs/2411.09266
Motivated by the recent experimental findings on the orbital ordering of cuprate SC, we have investigated the multi-orbital Hubbard model in the framework of Cu impurity approximation embedded in the O lattice by incorporating the 3d$^{8}$ multiplet
Externí odkaz:
http://arxiv.org/abs/2409.19199
Autor:
He, Jin-Ting, Tsai, Fu-Jen, Wu, Jia-Hao, Peng, Yan-Tsung, Tsai, Chung-Chi, Lin, Chia-Wen, Lin, Yen-Yu
Dynamic scene video deblurring aims to remove undesirable blurry artifacts captured during the exposure process. Although previous video deblurring methods have achieved impressive results, they suffer from significant performance drops due to the do
Externí odkaz:
http://arxiv.org/abs/2407.09059
The quality of images captured outdoors is often affected by the weather. One factor that interferes with sight is rain, which can obstruct the view of observers and computer vision applications that rely on those images. The work aims to recover rai
Externí odkaz:
http://arxiv.org/abs/2403.18270
Autor:
Liu, Guohua, Peng, Yan
We study properties of the innermost photonsphere in the regular compact star background. We take the traceless energy-momentum tensor and dominant energy conditions. In the regular compact star background, we analytically obtain an upper bound on th
Externí odkaz:
http://arxiv.org/abs/2402.15517
Autor:
Peng, Yan
We study properties of the Maxwell electromagnetic invariant in the external region of spinning and charged horizonless stars. We analytically find that the minimum negative value of the Maxwell electromagnetic invariant is obtained on the equator of
Externí odkaz:
http://arxiv.org/abs/2401.00990
Autor:
Tsai, Fu-Jen, Peng, Yan-Tsung, Chang, Chen-Yu, Li, Chan-Yu, Lin, Yen-Yu, Tsai, Chung-Chi, Lin, Chia-Wen
Video restoration is a low-level vision task that seeks to restore clean, sharp videos from quality-degraded frames. One would use the temporal information from adjacent frames to make video restoration successful. Recently, the success of the Transf
Externí odkaz:
http://arxiv.org/abs/2312.14502
The zero-shot performance of visual question answering (VQA) models relies heavily on prompts. For example, a zero-shot VQA for disaster scenarios could leverage well-designed Chain of Thought (CoT) prompts to stimulate the model's potential. However
Externí odkaz:
http://arxiv.org/abs/2312.13848
Image deblurring aims to remove undesired blurs from an image captured in a dynamic scene. Much research has been dedicated to improving deblurring performance through model architectural designs. However, there is little work on data augmentation fo
Externí odkaz:
http://arxiv.org/abs/2312.10998
Visual question answering (VQA) is a fundamental and essential AI task, and VQA-based disaster scenario understanding is a hot research topic. For instance, we can ask questions about a disaster image by the VQA model and the answer can help identify
Externí odkaz:
http://arxiv.org/abs/2312.01882