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Feng Dai

4 papers hereh-index 192.9k citations73 works total

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

author position
  • first author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Feng Dai — 6 papers, h 5
  • Feng Dai — 2 papers
  • Feng Dai — 2 papers
  • Feng Dai — 2 papers, h 1
  • Feng Dai — 1 paper, h 5
  • Feng Dai — 1 paper

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
20172023
most citedAPE-GAN: Adversarial Perturbation Elimination with GAN

79 citations · 104 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Rethinking Boundary Discontinuity Problem for Oriented Object Detection

Hang Xu, Xinyuan Liu, Haonan Xu +4

Oriented object detection has been developed rapidly in the past few years, where rotation equivariance is crucial for detectors to predict rotated boxes. It is expected that the p…

cs.CV2021★ 1 cited

Unbiased IoU for Spherical Image Object Detection

Qiang Zhao, Bin Chen, Hang Xu +5

As one of the most fundamental and challenging problems in computer vision, object detection tries to locate object instances and find their categories in natural images. The most…

cs.CV2019★ 24 cited

Dense Scale Network for Crowd Counting

Feng Dai, Hao Liu, Yike Ma +3

Crowd counting has been widely studied by computer vision community in recent years. Due to the large scale variation, it remains to be a challenging task. Previous methods adopt e…

cs.CV2017★ 79 cited

APE-GAN: Adversarial Perturbation Elimination with GAN

Shiwei Shen, Guoqing Jin, Ke Gao +1

Although neural networks could achieve state-of-the-art performance while recongnizing images, they often suffer a tremendous defeat from adversarial examples--inputs generated by…

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