7,472 research outputs found
Video Frame Interpolation via Adaptive Separable Convolution
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 with spatially adaptive kernels that account
for motion and re-sampling simultaneously. These methods require large kernels
to handle large motion, which limits the number of pixels whose kernels can be
estimated at once due to the large memory demand. To address this problem, this
paper formulates frame interpolation as local separable convolution over input
frames using pairs of 1D kernels. Compared to regular 2D kernels, the 1D
kernels require significantly fewer parameters to be estimated. Our method
develops a deep fully convolutional neural network that takes two input frames
and estimates pairs of 1D kernels for all pixels simultaneously. Since our
method is able to estimate kernels and synthesizes the whole video frame at
once, it allows for the incorporation of perceptual loss to train the neural
network to produce visually pleasing frames. This deep neural network is
trained end-to-end using widely available video data without any human
annotation. Both qualitative and quantitative experiments show that our method
provides a practical solution to high-quality video frame interpolation.Comment: ICCV 2017, http://graphics.cs.pdx.edu/project/sepconv
Free vibration analysis of laminated composite plates based on FSDT using one-dimensional IRBFN method
This paper presents a new effective radial basis function (RBF) collocation technique for the free vibration
analysis of laminated composite plates using the first order shear deformation theory (FSDT). The plates, which can be rectangular or non-rectangular, are simply discretised by means of Cartesian grids. Instead of using conventional differentiated RBF networks, one-dimensional integrated RBF networks (1D-IRBFN) are employed on grid lines to approximate the field variables. A number of examples concerning various thickness-to-span ratios, material properties and boundary conditions are considered. Results obtained are compared with the exact solutions and numerical results by other techniques in the literature to
investigate the performance of the proposed method
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset
Many services that perform information retrieval for Points of Interest (POI)
utilize a Lucene-based setup with spatial filtering. While this type of system
is easy to implement it does not make use of semantics but relies on direct
word matches between a query and reviews leading to a loss in both precision
and recall. To study the challenging task of semantically enriching POIs from
unstructured data in order to support open-domain search and question answering
(QA), we introduce a new dataset POIReviewQA. It consists of 20k questions
(e.g."is this restaurant dog friendly?") for 1022 Yelp business types. For each
question we sampled 10 reviews, and annotated each sentence in the reviews
whether it answers the question and what the corresponding answer is. To test a
system's ability to understand the text we adopt an information retrieval
evaluation by ranking all the review sentences for a question based on the
likelihood that they answer this question. We build a Lucene-based baseline
model, which achieves 77.0% AUC and 48.8% MAP. A sentence embedding-based model
achieves 79.2% AUC and 41.8% MAP, indicating that the dataset presents a
challenging problem for future research by the GIR community. The result
technology can help exploit the thematic content of web documents and social
media for characterisation of locations
Discussion of Estimating Multiple Sources Based on Three- Dimensional Magnetocardiograms Measurement
AbstractA SQUID magnetometer system with three-dimensional(3-D) second-order gradiometer was used to measure the magnetocardiograms(MCG) for the normal subject and the patient with myocardial infarction (MI). The multiple sources were estimated using the single current dipole model based on the 3-D MCG measurement. The difference between the normal subject and the patient with MI was discussed in the conduction pathways. It is helpful to discriminate the location and the direction of multiple sources based on combining Bz component with Bx and By components. The 3-D MCG measurement may be more efficient than the 1-D MCG measurement in estimating the multiple sources
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