Results 71 to 80 of about 7,302,031 (360)
EA-Net: Edge-Aware Network for Flow-based Video Frame Interpolation [PDF]
arXiv, 2021 Video frame interpolation can up-convert the frame rate and enhance the video quality. In recent years, although the interpolation performance has achieved great success, image blur usually occurs at the object boundaries owing to the large motion. It has been a long-standing problem, and has not been addressed yet.
arxiv
FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution [PDF]
arXiv, 2018 Video super-resolution (VSR) aims to restore a photo-realistic high-resolution (HR) video frame from both its corresponding low-resolution (LR) frame (reference frame) and multiple neighboring frames (supporting frames). Due to varying motion of cameras or objects, the reference frame and each support frame are not aligned.
arxiv
Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative? [PDF]
arXiv, 2023 Various artifacts, such as ghost colors, interlacing, and motion blur, hinder diagnosing colorectal cancer (CRC) from videos acquired during colonoscopy. The frames containing these artifacts are called uninformative frames and are present in large proportions in colonoscopy videos.
arxiv
The role of circular RNAs in regulating cytokine signaling in cancer
FEBS Open Bio, EarlyView.Cytokines present in the tumor microenvironment fuel cancer development. Aberrant expression of circRNAs contributes to cancer progression. Cytokines are involved in regulating circRNA biogenesis. Furthermore, aberrantly expressed circRNAs regulate the expression of ligands, receptors, and downstream effectors involved in cytokine signaling to promote ...
Vandana Joshi +4 more
wiley +1 more source
On wovenness of K-fusion frames [PDF]
arXiv, 2019 In frame theory literature, there are several generalizations of frame, K-fusion frame presents a flavour of one such generalization, basically it is an intertwined replica of K-frame and fusion frame. K-fusion frames come naturally (having significant applications) when one needs to reconstruct functions (signals) from a large data in the range of a ...
arxiv
Prediction-assistant Frame Super-Resolution for Video Streaming [PDF]
arXiv, 2021 Video frame transmission delay is critical in real-time applications such as online video gaming, live show, etc. The receiving deadline of a new frame must catch up with the frame rendering time. Otherwise, the system will buffer a while, and the user will encounter a frozen screen, resulting in unsatisfactory user experiences.
arxiv
FEBS Open Bio, EarlyView.Mitochondria contain two mitoribosome rescue factors, ICT1 and MTRFR (C12orf65). ICT1 also functions as a mitoribosomal protein in mice and humans, and its loss is lethal. Although Mtrfr knockout mice could not be generated, knockout zebrafish lines for ict1 and mtrfr were established.
Nobukazu Nameki +11 more
wiley +1 more source
Weaving Hilbert space fusion frames [PDF]
arXiv, 2018 A new notion in frame theory, so called weaving frames has been recently introduced to deal with some problems in signal processing and wireless sensor networks. Also, fusion frames are an important extension of frames, used in many areas especially for wireless sensor networks. In this paper, we survey the notion of weaving Hilbert space fusion frames.
arxiv
Deep Learned Frame Prediction for Video Compression [PDF]
, 2018 Motion compensation is one of the most essential methods for any video compression algorithm. Video frame prediction is a task analogous to motion compensation. In recent years, the task of frame prediction is undertaken by deep neural networks (DNNs). In this thesis we create a DNN to perform learned frame prediction and additionally implement a codec
arxiv +1 more source