Results 81 to 90 of about 1,483,995 (324)
Sparse Global Matching for Video Frame Interpolation with Large Motion [PDF]
Computer Vision and Pattern RecognitionLarge motion poses a critical challenge in Video Frame Interpolation (VFI) task. Existing methods are often constrained by limited receptive fields, resulting in sub-optimal performance when handling scenarios with large motion.
Chunxu Liu +3 more
semanticscholar +1 more source
Adaptable Tile‐Based Pneumatic Origami through Structurally Coupled Localized Actuation
Advanced Engineering Materials, EarlyView.This article presents tile‐based pneumatic origami structures with rigid tiles and flexible fabric creases, achieving adaptable properties including morphing shape, selective multistability, and tunable stiffness. Independently pressurized folding bladders at each crease enable structurally coupled localized actuation of origami structures.
Tiantian Li, Jonathan Luntz, Diann Brei
wiley +1 more source
International Journal of Advanced Robotic Systems, 2023 Based on camera calibration in detection area, an improved method of time interpolation for vehicle speed identification is proposed. Firstly, calibration of camera parameters during photogrammetry is carried out through preset rectangular detection area.
Lili Zhao, Yangshan Tang, Leilei Wang
doaj +1 more source
Video Interpolation using Optical Flow and Laplacian Smoothness
, 2016 Non-rigid video interpolation is a common computer vision task. In this paper we present an optical flow approach which adopts a Laplacian Cotangent Mesh constraint to enhance the local smoothness.
Cosker, Darren, Li, Wenbin
core +1 more source
Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination [PDF]
Computer Vision and Pattern Recognition, 2018 We propose a light-weight video frame interpolation algorithm. Our key innovation is an instance-level supervision that allows information to be learned from the high-resolution version of similar objects.
Liangzhe Yuan +4 more
semanticscholar +1 more source
Video Frame Interpolation: A Comprehensive Survey
ACM Trans. Multim. Comput. Commun. Appl., 2023 Video Frame Interpolation (VFI) is a fascinating and challenging problem in the computer vision (CV) field, aiming to generate non-existing frames between two consecutive video frames.
Jiong Dong, K. Ota, M. Dong
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner +9 more
wiley +1 more source
Multiple Video Frame Interpolation Method Based on Transformer and Enhanced Deformable Separable Convolution [PDF]
Jisuanji gongchengExisting multiple Video Frame Interpolation (VFI) methods rely on optical flow or Convolutional Neural Networks (CNN) for implementation; however, they struggle to handle scenes with large motions effectively because of the inherent limitations of ...
SHI Changtong, SHAN Hongtao
doaj +1 more source
Video Frame Interpolation with Flow Transformer
Proceedings of the 31st ACM International Conference on Multimedia, 2023 Accepted to ACM ...
Pan Gao, Haoyue Tian, Jie Qin
openaire +2 more sources
Advanced Functional Materials, EarlyView.Multifunctional atomic layer deposited coatings and interface treatments enhance direct solar water splitting on GaAs/GaInP tandem cells. Optimized TiO2/Pt nanoparticle bilayers ensure durability and catalytic efficiency with minimal optical losses, while H2 plasma pretreatments maximize photovoltage and interfacial charge extraction.
Tim F. Rieth +8 more
wiley +1 more source