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Ming Qian

4 papers here

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedBGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh

21 citations · 28 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2021

LUAI Challenge 2021 on Learning to Understand Aerial Images

Gui-Song Xia, Jian Ding, Ming Qian +33

This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in a…

cs.CV2020★ 1 cited

Defocus Blur Detection via Salient Region Detection Prior

Ming Qian, Min Xia, Chunyi Sun +2

Defocus blur always occurred in photos when people take photos by Digital Single Lens Reflex Camera(DSLR), giving salient region and aesthetic pleasure. Defocus blur Detection aims…

eess.IV2020★ 6 cited

AIM 2020 Challenge on Rendering Realistic Bokeh

Andrey Ignatov, Radu Timofte, Ming Qian +32

This paper reviews the second AIM realistic bokeh effect rendering challenge and provides the description of the proposed solutions and results. The participating teams were solvin…

cs.CV2020★ 21 cited

BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh

Ming Qian, Congyu Qiao, Jiamin Lin +4

A photo captured with bokeh effect often means objects in focus are sharp while the out-of-focus areas are all blurred. DSLR can easily render this kind of effect naturally. Howeve…

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