Results 311 to 320 of about 1,072,227 (356)

FILM: Frame Interpolation for Large Motion

European Conference on Computer Vision, 2022
We present a frame interpolation algorithm that synthesizes multiple intermediate frames from two input images with large in-between motion. Recent methods use multiple networks to estimate optical flow or depth and a separate network dedicated to frame ...
F. Reda   +5 more
semanticscholar   +1 more source

Interpolation flaps

Dermatologic Clinics, 2005
Interpolation flaps provide an excellent method for reconstruction of large or deep defects where adjacent local tissue cannot supply sufficient donor tissue for repair. These flaps use tissue imported from nonadjacent sites with an inherent blood supply (vascular pedicle) to support the flap while attached to the recipient defect until ...
J Ramsey, Mellette, Diana Q, Ho
openaire   +2 more sources

Interpolation networks

Proceedings of International Conference on Neural Networks (ICNN'96), 2002
This paper introduces a new type of network based on local response units, the ‘Intelpolation Networh’ (INS).U nder certain conditions this network is an interpolator. Its formulation allows a type of initialisation by prototypes that will set the net in a good initial starting point for the subsequent supervised learning process. These networks can be
Nunes, Luís   +2 more
openaire   +2 more sources

Real-Time Intermediate Flow Estimation for Video Frame Interpolation

European Conference on Computer Vision, 2020
Real-time video frame interpolation (VFI) is very useful in video processing, media players, and display devices. We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for VFI.
Zhewei Huang   +4 more
semanticscholar   +1 more source

Interpolated Flaps

Facial Plastic Surgery, 2017
AbstractNasal reconstruction has been articulated in the literature since 700 B.C. when the earliest iteration of the forehead flap was described in the Indian medical treatise, the Sushruta Samhita. Since then it has evolved into the interpolated flap which has served as a powerful tool for facial reconstruction.
Samkon Kaltho, Gado   +4 more
openaire   +2 more sources

Cardinal Interpolation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
A Bayesian probability density for an interpolating function is developed, and its desirable properties and practical potential are demonstrated. This density has an often needed but previously unachieved property, here called cardinal interpolation, which ensures extrapolation to the density of the least squares linear model.
Steven C, Gustafson   +2 more
openaire   +2 more sources

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