Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and
  Bottom-Up Networks   In monocular video 3D multi-person pose estimation, inter-person occlusion
and close interactions can cause human detection to be erroneous and
human-joints grouping to be unreliable. Existing top-down methods rely on human
detection and thus suffer from these problems. Existing bottom-up methods do
not use human detection, but they process all persons at once at the same
scale, causing them to be sensitive to multiple-persons scale variations. To
address these challenges, we propose the integration of top-down and bottom-up
approaches to exploit their strengths. Our top-down network estimates human
joints from all persons instead of one in an image patch, making it robust to
possible erroneous bounding boxes. Our bottom-up network incorporates
human-detection based normalized heatmaps, allowing the network to be more
robust in handling scale variations. Finally, the estimated 3D poses from the
top-down and bottom-up networks are fed into our integration network for final
3D poses. Besides the integration of top-down and bottom-up networks, unlike
existing pose discriminators that are designed solely for single person, and
consequently cannot assess natural inter-person interactions, we propose a
two-person pose discriminator that enforces natural two-person interactions.
Lastly, we also apply a semi-supervised method to overcome the 3D ground-truth
data scarcity. Our quantitative and qualitative evaluations show the
effectiveness of our method compared to the state-of-the-art baselines.

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The categories of this paper are: nlin
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
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The categories of this paper are: supr-con
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
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The categories of this paper are: nucl-th
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The categories of this paper are: patt-sol
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The categories of this paper are: solv-int
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The categories of this paper are: chem-ph
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The categories of this paper are: q-bio
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The categories of this paper are: ao-sci
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The categories of this paper are: acc-phys