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researcher

Qing Mao

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedLearning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance

9 citations · 15 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2021★ 9 cited

Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance

Rui Li, Xiantuo He, Danna Xue +5

Self-supervised depth estimation has made a great success in learning depth from unlabeled image sequences. While the mappings between image and pixel-wise depth are well-studied i…

cs.CV2020★ 6 cited

Semantic-Guided Representation Enhancement for Self-supervised Monocular Trained Depth Estimation

Rui Li, Qing Mao, Pei Wang +4

Self-supervised depth estimation has shown its great effectiveness in producing high quality depth maps given only image sequences as input. However, its performance usually drops…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.