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Chen Chen

21 papers here

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

author position
  • first author1
  • middle author16
  • last author3

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.CV4
  • cs.CL3
  • cs.AI1
  • cs.CR1
  • cs.IR1
ORCID 0000-0002-7099-7905
same name
  • Chen Chen — 33 papers
  • Chen Chen — 18 papers
  • Chen Chen — 17 papers
  • Chen Chen — 16 papers
  • Chen Chen — 16 papers
  • Chen Chen — 14 papers

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
20192025
most citedFederated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications

13 citations · 39 across the 21 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

Technical Report for SoccerNet Challenge 2022 -- Replay Grounding Task

Shimin Chen, Wei Li, Jiaming Chu +3

In order to make full use of video information, we transform the replay grounding problem into a video action location problem. We apply a unified network Faster-TAD proposed by us…

cs.CV2024★ 3 cited

A Simple Background Augmentation Method for Object Detection with Diffusion Model

Yuhang Li, Xin Dong, Chen Chen +2

In computer vision, it is well-known that a lack of data diversity will impair model performance. In this study, we address the challenges of enhancing the dataset diversity proble…

cs.CV2024★ 2 cited

Evaluating and Mitigating IP Infringement in Visual Generative AI

Zhenting Wang, Chen Chen, Vikash Sehwag +2

The popularity of visual generative AI models like DALL-E 3, Stable Diffusion XL, Stable Video Diffusion, and Sora has been increasing. Through extensive evaluation, we discovered…

cs.CV2024

BAMM: Bidirectional Autoregressive Motion Model

Ekkasit Pinyoanuntapong, Muhammad Usama Saleem, Pu Wang +3

Generating human motion from text has been dominated by denoising motion models either through diffusion or generative masking process. However, these models face great limitations…

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