Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-View Stereo by Temporal Nonparametric Fusion   We propose a novel idea for depth estimation from multi-view image-pose
pairs, where the model has capability to leverage information from previous
latent-space encodings of the scene. This model uses pairs of images and poses,
which are passed through an encoder--decoder model for disparity estimation.
The novelty lies in soft-constraining the bottleneck layer by a nonparametric
Gaussian process prior. We propose a pose-kernel structure that encourages
similar poses to have resembling latent spaces. The flexibility of the Gaussian
process (GP) prior provides adapting memory for fusing information from
previous views. We train the encoder--decoder and the GP hyperparameters
jointly end-to-end. In addition to a batch method, we derive a lightweight
estimation scheme that circumvents standard pitfalls in scaling Gaussian
process inference, and demonstrate how our scheme can run in real-time on smart
devices.

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The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
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The categories of this paper are: eess
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
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The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
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The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
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The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat