Results 101 to 110 of about 500,433 (311)
Self-Supervised Pre-Training for Optical Flow Estimation via Contrastive Learning
IEEE AccessTo address the issues of dataset dependency and correlation volume redundancy in optical flow estimation, contrastive learning is introduced to build a self supervised optical flow framework.
Feng An, Wenyin Tao
doaj +1 more source
Optical instrumentation for fluid flow in gas turbines [PDF]
Both a novel shearing interferometer and the first demonstration of particle image velocimetry (PIV) to the stator-rotor gap of a spinning turbine cascade are presented.
Burnett, Mark
core
Novel flat datacenter network architecture based on scalable and flow-controlled optical switch system [PDF]
, 2013 We propose and demonstrate an optical flat datacenter network based on scalable optical switch system with optical flow control. 4×4 dynamic switch operation at 40 Gb/s reported 300ns minimum end-to-end latency (including 25m transmission link ...
Di Lucente, S Stefano +14 more
core +1 more source
Evaluating the involvement of autolysosomes in the nuclear translocation of fluorescent proteins
FEBS Open Bio, EarlyView.Endogenously expressed fluorescent proteins can be degraded by autophagy and transported to cell nuclei via the nuclear pore complex. But in some cell lines, for example, HeLa cells which are positive for immunoreactivity of a receptor ligand, such as UCN I, in cell nuclei, fusion of autolysosome with the nuclear envelope is involved in the nuclear ...
Keiichi Ikeda
wiley +1 more source
Guiding Optical Flow Estimation
, 2003 We show how optical flow estimates can be combined with boundary estimation to improve estimates of motion. The improvement is associated with blending of estimates from complementary bases of operation.
Myerscough, Peter J +2 more
core
FEBS Open Bio, EarlyView.Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas +6 more
wiley +1 more source
Horn-Schunck Optical Flow with a Multi-Scale Strategy
Image Processing On Line, 2013 The seminal work of Horn and Schunck is the first variational method for optical flow estimation. It introduced a novel framework where the optical flow is computed as the solution of a minimization problem.
Enric Meinhardt-Llopis +2 more
doaj
Deriving optical flow in noisy image sequences [PDF]
A technique is presented extracting local image motion utilising the properties of spatiotemporal orientation i n the frequency domain. This technique is based on the eigenvalue analysis of the inertia tensor matrix of the frequency domain.
Martin, Graham R., Goh, Wooi Boon
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Discrete Optimization for Optical Flow
, 2015 We propose to look at large-displacement optical flow from a discrete point of view. Motivated by the observation that sub-pixel accuracy is easily obtained given pixel-accurate optical flow, we conjecture that computing the integral part is the hardest piece of the problem.
Moritz Menze +2 more
openaire +2 more sources