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Anlong Ming

13 papers hereh-index 181.1k citations84 works total

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

author position
  • middle author4
  • last author9

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.RO3
same name
  • Anlong Ming — 9 papers, h 4
  • Anlong Ming — 3 papers, h 4

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
20192023
most citedOcclusion-shared and Feature-separated Network for Occlusion Relationship Reasoning

3 citations · 7 across the 12 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019

DDNet: Dual-path Decoder Network for Occlusion Relationship Reasoning

Panhe Feng, Xuejing Kang, Lizhu Ye +3

Occlusion relationship reasoning based on convolution neural networks consists of two subtasks: occlusion boundary extraction and occlusion orientation inference. Due to the essent…

cs.CV2019★ 3 cited

Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning

Rui Lu, Feng Xue, Menghan Zhou +2

Occlusion relationship reasoning demands closed contour to express the object, and orientation of each contour pixel to describe the order relationship between objects. Current CNN…

cs.CV2019★ 1 cited

A Novel Multi-layer Framework for Tiny Obstacle Discovery

Feng Xue, Anlong Ming, Menghan Zhou +1

For tiny obstacle discovery in a monocular image, edge is a fundamental visual element. Nevertheless, because of various reasons, e.g., noise and similar color distribution with ba…

cs.CV2019★ 2 cited

Context-Constrained Accurate Contour Extraction for Occlusion Edge Detection

Rui Lu, Menghan Zhou, Anlong Ming +1

Occlusion edge detection requires both accurate locations and context constraints of the contour. Existing CNN-based pipeline does not utilize adaptive methods to filter the noise…

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