Action recognition has been a heated topic in computer vision for its wide application systems. Previous approaches achieve improvement by fusing the modalities of skeleton sequence and RGB video. However, such methods pose dilemma between accuracy efficiency high complexity video network. To solve problem, we propose multi-modality feature fusion network to combine frame instead video, as key ...

Arginine deiminase (ADI), an arginine-degrading enzyme, has anti-proliferative and anti-tumor activities and is capable of inhibiting the production of nitric oxide (NO). Modulation of nitric oxide (NO) production is considered a promising approach for the treatment of various diseases including cancer, inflammation and neuronal disorders. In this study, an ADI gene was fused with an HIV-1 Tat ...

In order to achieve higher coding efficiency, the Versatile Video Coding (VVC) standard includes several new components at expense of an increase in decoder computational complexity. These technologies often create ringing and contouring effects on reconstructed frames a low bit rate introduce blurring distortion. To smooth those visual artifacts, H.266/VVC framework supports four post-processi...

Although deep learning based methods have achieved great progress in unsupervised video object segmentation, difficult scenarios (e.g., visual similarity, occlusions, and appearance changing) are still no well-handled. To alleviate these issues, we propose a novel Focus on Foreground Network (F2Net), which delves into the intra-inter frame details for foreground objects thus effectively improve...

the fusion of medical images is very useful for clinical application. generally, the pet image indicates the function of tissue and the mri image shows the anatomy of tissue. in this article we fused mri and pet images and the purpose is adding structural information from mri to pet image. the images decomposed with curvelet transform, and then two images fused with applying fusion rules. we us...

in this paper we get some results and applications for duals and approximate duals of g-frames in hilbert spaces. in particular, we consider the stability of duals and approximate duals under bounded operators and we study duals and approximate duals of g-frames in the direct sum of hilbert spaces. we also obtain some results for perturbations of approximate duals.

in this paper, g-dual function-valued frames in l2(0;1) are in-troduced. we can achieve more reconstruction formulas to ob-tain signals in l2(0;1) by applying g-dual function-valued framesin l2(0;1).