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researcher

Ke Sun

4 papers hereh-index 7405 citations14 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CV4
same name
  • Ke Sun — 38 papers, h 23
  • Ke Sun — 14 papers, h 13
  • Ke Sun — 10 papers, h 10
  • Ke Sun — 9 papers, h 8
  • Ke Sun — 9 papers, h 6
  • Ke Sun — 7 papers, h 6

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

most citedCamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models

7 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Towards General Visual-Linguistic Face Forgery Detection(V2)

Ke Sun, Shen Chen, Taiping Yao +5

Face manipulation techniques have achieved significant advances, presenting serious challenges to security and social trust. Recent works demonstrate that leveraging multimodal mod…

cs.CV2023★ 1 cited

Continual Face Forgery Detection via Historical Distribution Preserving

Ke Sun, Shen Chen, Taiping Yao +3

Face forgery techniques have advanced rapidly and pose serious security threats. Existing face forgery detection methods try to learn generalizable features, but they still fall sh…

cs.CV2023★ 4 cited

Towards General Visual-Linguistic Face Forgery Detection

Ke Sun, Shen Chen, Taiping Yao +4

Deepfakes are realistic face manipulations that can pose serious threats to security, privacy, and trust. Existing methods mostly treat this task as binary classification, which us…

cs.CV2023★ 7 cited

CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models

Zhongxi Chen, Ke Sun, Xianming Lin +1

Camouflaged Object Detection (COD) is a challenging task in computer vision due to the high similarity between camouflaged objects and their surroundings. Existing COD methods prim…

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