Results 21 to 30 of about 6,069,490 (350)
Video Frame Interpolation Transformer [PDF]
Existing methods for video interpolation heavily rely on deep convolution neural networks, and thus suffer from their intrinsic limitations, such as content-agnostic kernel weights and restricted receptive field.
Zhihao Shi +4 more
semanticscholar +1 more source
Loosely speaking, a semi-frame is a generalized frame for which one of the frame bounds is absent. More precisely, given a total sequence in a Hilbert space, we speak of an upper (resp. lower) semi-frame if only the upper (resp. lower) frame bound is valid.
Antoine, Jean-Pierre, Balazs, Peter
openaire +3 more sources
Depth-Aware Video Frame Interpolation [PDF]
Video frame interpolation aims to synthesize nonexistent frames in-between the original frames. While significant advances have been made from the recent deep convolutional neural networks, the quality of interpolation is often reduced due to large ...
Wenbo Bao +5 more
semanticscholar +1 more source
Frame Construction and Frame Promotion (Strategic Framing Choices) [PDF]
In this article, the authors discuss the three most important strategic framing choices by political actors (“substantive emphasis choice,” “oppositional emphasis choice,” and “contest emphasis choice”) of direct-democratic campaigns. The authors investigate these strategic framing choices in the media input and look at how the political actors change
Hänggli, R., Kriesi, H.
openaire +3 more sources
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation [PDF]
We propose a novel video frame interpolation algorithm based on asymmetric bilateral motion estimation (ABME), which synthesizes an intermediate frame between two input frames.
Jun-ho Park, Chulwoo Lee, Chang-Su Kim
semanticscholar +1 more source
The FRAME-IS: a framework for documenting modifications to implementation strategies in healthcare
Background Implementation strategies are necessary to ensure that evidence-based practices are successfully incorporated into routine clinical practice.
Christopher J. Miller +4 more
semanticscholar +1 more source
The Renormalization-Group Method Applied to Asymptotic Analysis of Vector Fields [PDF]
The renormalization group method of Goldenfeld, Oono and their collaborators is applied to asymptotic analysis of vector fields. The method is formulated on the basis of the theory of envelopes, as was done for scalar fields.
Frame, T. Kunihiro
core +4 more sources
Video Frame Interpolation via Adaptive Separable Convolution [PDF]
Standard video frame interpolation methods first estimate optical flow between input frames and then synthesize an intermediate frame guided by motion. Recent approaches merge these two steps into a single convolution process by convolving input frames ...
Simon Niklaus, Long Mai, Feng Liu
semanticscholar +1 more source
Object Tracking by Jointly Exploiting Frame and Event Domain [PDF]
Inspired by the complementarity between conventional frame-based and bio-inspired event-based cameras, we propose a multi-modal based approach to fuse visual cues from the frame- and event-domain to enhance the single object tracking performance ...
Jiqing Zhang +5 more
semanticscholar +1 more source
Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection
We have systematically made a set of precisely defined, single‐gene deletions of all nonessential genes in Escherichia coli K‐12. Open‐reading frame coding regions were replaced with a kanamycin cassette flanked by FLP recognition target sites by using a
T. Baba +9 more
semanticscholar +1 more source

