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M. Yang

62 papers hereh-index 396.4k citations169 works total

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

author position
  • sole author1
  • first author6
  • middle author30
  • last author25

Across the 62 of 62 papers where every author was matched, so the position is known.

fields
  • cs.CV57
  • cs.RO2
  • cs.LG1
  • eess.IV1
  • stat.ML1
same name
  • M. Yang — 47 papers
  • M. Yang — 41 papers
  • M. Yang — 29 papers, h 14
  • M. Yang — 17 papers
  • M. Yang — 15 papers
  • M. Yang — 14 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedObject Detection in Aerial Images: A Large-Scale Benchmark and Challenges

665 citations · 990 across the 48 of their papers we have counts for

collaborators
Showing 2015Show all

3 papers · 1 filter

cs.CV2015★ 30 cited

Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images

Alexander Krull, Eric Brachmann, Frank Michel +3

Analysis-by-synthesis has been a successful approach for many tasks in computer vision, such as 6D pose estimation of an object in an RGB-D image which is the topic of this work. T…

cs.CV2015★ 30 cited

Automatic 3D Liver Segmentation Using Sparse Representation of Global and Local Image Information via Level Set Formulation

Saif Dawood Salman Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn

In this paper, a novel framework for automated liver segmentation via a level set formulation is presented. A sparse representation of both global (region-based) and local (voxel-w…

cs.CV2015★ 1 cited

Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation

David L. Richmond, Dagmar Kainmueller, Michael Y. Yang +2

We consider the task of pixel-wise semantic segmentation given a small set of labeled training images. Among two of the most popular techniques to address this task are Decision Fo…

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