Zobrazeno 1 - 10
of 632
pro vyhledávání: '"FU JingJing"'
Publikováno v:
Shipin yu jixie, Vol 39, Iss 11, Pp 38-44 (2023)
Objective: This study aimed to solve the problems of low freshness, heavy bitterness, and poor flavor of protein peptides hydrolyzed by enzymes of Harpodon nehereus (HN). Methods: Ultrasound assisted enzymatic hydrolysis method was used to prepar
Externí odkaz:
https://doaj.org/article/2971c45c0a164f37a2dcff8cc127fda2
Publikováno v:
Jixie qiangdu, Vol 44, Pp 203-214 (2022)
The calculation models of frequency domain fatigue analysis method are various and their accuracy is different. In order to solve the above problems, based on the time domain analysis results of the half axle, the accuracy comparison of frequency dom
Externí odkaz:
https://doaj.org/article/aa58bc047a944413ac5661f87f9bcbae
Synthesizing anomaly samples has proven to be an effective strategy for self-supervised 2D industrial anomaly detection. However, this approach has been rarely explored in multi-modality anomaly detection, particularly involving 3D and RGB images. In
Externí odkaz:
http://arxiv.org/abs/2410.09821
Aliasing artifacts in renderings produced by Neural Radiance Field (NeRF) is a long-standing but complex issue in the field of 3D implicit representation, which arises from a multitude of intricate causes and was mitigated by designing more advanced
Externí odkaz:
http://arxiv.org/abs/2407.07461
Image inpainting aims to fill in the missing pixels with visually coherent and semantically plausible content. Despite the great progress brought from deep generative models, this task still suffers from i. the difficulties in large-scale realistic d
Externí odkaz:
http://arxiv.org/abs/2310.02848
Autor:
Fu, Jingjing, Liu, Shuheng, Du, Siqi, Ruan, Siqiao, Guo, Xuliang, Pan, Weiwei, Sharma, Abhishek, Konigorski, Stefan
N-of-1 trials aim to estimate treatment effects on the individual level and can be applied to personalize a wide range of physical and digital interventions in mHealth. In this study, we propose and apply a framework for multimodal N-of-1 trials in o
Externí odkaz:
http://arxiv.org/abs/2302.07547
Publikováno v:
Zhang K, Peng J, Fu J, et al. Exploiting optical flow guidance for transformer-based video inpainting[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
Transformers have been widely used for video processing owing to the multi-head self attention (MHSA) mechanism. However, the MHSA mechanism encounters an intrinsic difficulty for video inpainting, since the features associated with the corrupted reg
Externí odkaz:
http://arxiv.org/abs/2301.10048
We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in transformer for high fidelity video inpainting. More specially, we design a novel flow completion
Externí odkaz:
http://arxiv.org/abs/2208.06768
Publikováno v:
In Soil Dynamics and Earthquake Engineering September 2024 184
Publikováno v:
In Computers and Geotechnics September 2024 173