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Ming-Ming Cheng

85 papers hereh-index 9156.1k citations307 works total

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

author position
  • first author1
  • middle author56
  • last author26

Across the 83 of 85 papers where every author was matched, so the position is known.

fields
  • cs.CV79
  • eess.IV2
  • cs.GR1
  • cs.LG1
  • cs.RO1
  • stat.ML1
same name
  • Ming-Ming Cheng — 28 papers, h 11
  • Ming-Ming Cheng — 15 papers, h 15
  • Ming-Ming Cheng — 15 papers, h 10
  • Ming-Ming Cheng — 11 papers, h 4
  • Ming-Ming Cheng — 10 papers, h 3
  • Ming-Ming Cheng — 8 papers, h 2

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
20132023
most citedRes2Net: A New Multi-scale Backbone Architecture

3.5k citations · 16k across the 85 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.CV2015

Sequential Optimization for Efficient High-Quality Object Proposal Generation

Ziming Zhang, Yun Liu, Xi Chen +4

We are motivated by the need for a generic object proposal generation algorithm which achieves good balance between object detection recall, proposal localization quality and compu…

cs.CV2015★ 83 cited

SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes

Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin +9

We present an open-source, real-time implementation of SemanticPaint, a system for geometric reconstruction, object-class segmentation and learning of 3D scenes. Using our system,…

cs.CV2015★ 619 cited

STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation

Yunchao Wei, Xiaodan Liang, Yunpeng Chen +5

Recently, significant improvement has been made on semantic object segmentation due to the development of deep convolutional neural networks (DCNNs). Training such a DCNN usually r…

cs.CV2015★ 1.4k cited

Salient Object Detection: A Benchmark

Ali Borji, Ming-Ming Cheng, Huaizu Jiang +1

We extensively compare, qualitatively and quantitatively, 40 state-of-the-art models (28 salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over 6 chal…

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