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Dan Zeng

22 papers hereh-index 201.6k citations46 works total

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

author position
  • first author2
  • middle author16
  • last author3

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • cs.LG2
  • cs.CR1
  • cs.IR1
  • eess.IV1
same name
  • Dan Zeng — 9 papers, h 3
  • Dan Zeng — 8 papers, h 26
  • Dan Zeng — 8 papers, h 5
  • Dan Zeng — 6 papers, h 4
  • Dan Zeng — 4 papers, h 13
  • Dan Zeng — 3 papers, h 9

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
20192026
most citedTowards NIR-VIS Masked Face Recognition

50 citations · 203 across the 22 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 8 cited

Zooming into Face Forensics: A Pixel-level Analysis

Jia Li, Tong Shen, Wei Zhang +3

The stunning progress in face manipulation methods has made it possible to synthesize realistic fake face images, which poses potential threats to our society. It is urgent to have…

cs.CV2019★ 5 cited

Theme-Matters: Fashion Compatibility Learning via Theme Attention

Jui-Hsin Lai, Bo Wu, Xin Wang +3

Fashion compatibility learning is important to many fashion markets such as outfit composition and online fashion recommendation. Unlike previous work, we argue that fashion compat…

cs.CV2019★ 3 cited

Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering

Zhao Zhang, Yan Zhang, Sheng Li +4

Concept Factorization (CF) and its variants may produce inaccurate representation and clustering results due to the sensitivity to noise, hard constraint on the reconstruction erro…

cs.CV2019★ 15 cited

MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks

Chen Ma, Chenxu Zhao, Hailin Shi +3

Deep neural networks (DNNs) are vulnerable to adversarial attack which is maliciously implemented by adding human-imperceptible perturbation to images and thus leads to incorrect p…

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