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Peng Xu

4 papers hereh-index 460 citations4 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CV3
  • eess.IV1
same name
  • Peng Xu — 24 papers, h 16
  • Peng Xu — 23 papers, h 20
  • Peng Xu — 20 papers, h 17
  • Peng Xu — 18 papers, h 17
  • Peng Xu — 18 papers, h 4
  • Peng Xu — 17 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
20232025
most citedFrontiers in Intelligent Colonoscopy

5 citations · 8 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Deep Learning in Concealed Dense Prediction

Pancheng Zhao, Deng-Ping Fan, Shupeng Cheng +5

Deep learning is developing rapidly and handling common computer vision tasks well. It is time to pay attention to more complex vision tasks, as model size, knowledge, and reasonin…

eess.IV2024★ 5 cited

Frontiers in Intelligent Colonoscopy

Ge-Peng Ji, Jingyi Liu, Peng Xu +4

Colonoscopy is currently one of the most sensitive screening methods for colorectal cancer. This study investigates the frontiers of intelligent colonoscopy techniques and their pr…

cs.CV2024

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion

Pancheng Zhao, Peng Xu, Pengda Qin +5

Camouflaged vision perception is an important vision task with numerous practical applications. Due to the expensive collection and labeling costs, this community struggles with a…

cs.CV2023★ 3 cited

Large Model Based Referring Camouflaged Object Detection

Shupeng Cheng, Ge-Peng Ji, Pengda Qin +3

Referring camouflaged object detection (Ref-COD) is a recently-proposed problem aiming to segment out specified camouflaged objects matched with a textual or visual reference. This…

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