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Guowen Xu

25 papers hereh-index 344.6k citations121 works total

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

author position
  • first author6
  • middle author14
  • last author4

Across the 24 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CR19
  • cs.CV4
  • cs.LG2
same name
  • Guowen Xu — 12 papers, h 7
  • Guowen Xu — 3 papers, h 6
  • Guowen Xu — 3 papers, h 1
  • Guowen Xu — 2 papers, h 3
  • Guowen Xu — 1 paper
  • Guowen Xu — 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
20202026
most citedPhysical Backdoor Attacks to Lane Detection Systems in Autonomous Driving

2 citations · 11 across the 25 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition

Shuai Yuan, Guowen Xu, Hongwei Li +5

Traffic sign recognition (TSR) systems are crucial for autonomous driving but are vulnerable to backdoor attacks. Existing physical backdoor attacks either lack stealth, provide in…

cs.CV2024

Backdoor Attacks against Image-to-Image Networks

Wenbo Jiang, Hongwei Li, Jiaming He +4

Recently, deep learning-based Image-to-Image (I2I) networks have become the predominant choice for I2I tasks such as image super-resolution and denoising. Despite their remarkable…

cs.CV2022

A Benchmark of Long-tailed Instance Segmentation with Noisy Labels

Guanlin Li, Guowen Xu, Tianwei Zhang

In this paper, we consider the instance segmentation task on a long-tailed dataset, which contains label noise, i.e., some of the annotations are incorrect. There are two main reas…

cs.CV2022★ 2 cited

Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving

Xingshuo Han, Guowen Xu, Yuan Zhou +3

Modern autonomous vehicles adopt state-of-the-art DNN models to interpret the sensor data and perceive the environment. However, DNN models are vulnerable to different types of adv…

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