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Jongbin Ryu

3 papers here

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author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

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  • cs.CV3

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most citedCollaborative Training of Balanced Random Forests for Open Set Domain Adaptation

8 citations · 8 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2020★ 8 cited

Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation

Jongbin Ryu, Jiun Bae, Jongwoo Lim

In this paper, we introduce a collaborative training algorithm of balanced random forests with convolutional neural networks for domain adaptation tasks. In real scenarios, most do…

cs.CV2019

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching

Changhee Won, Jongbin Ryu, Jongwoo Lim

In this paper, we propose a novel end-to-end deep neural network model for omnidirectional depth estimation from a wide-baseline multi-view stereo setup. The images captured with u…

cs.CV2019

SweepNet: Wide-baseline Omnidirectional Depth Estimation

Changhee Won, Jongbin Ryu, Jongwoo Lim

Omnidirectional depth sensing has its advantage over the conventional stereo systems since it enables us to recognize the objects of interest in all directions without any blind re…

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