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Xiaolin Hu

4 papers here

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

author position
  • last author4

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

fields
  • cs.CV4
same name
  • Xiaolin Hu — 27 papers, h 49
  • Xiaolin Hu — 10 papers, h 3
  • Xiaolin Hu — 9 papers
  • Xiaolin Hu — 9 papers, h 6
  • Xiaolin Hu — 7 papers, h 9
  • Xiaolin Hu — 5 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
20232026
most citedHEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds

6 citations · 6 across the 1 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Physical Adversarial Examples for Person Detectors in Thermal Images Based on 3D Modeling

Xiaopei Zhu, Siyuan Huang, Zhanhao Hu +3

Thermal Infrared detection is widely used in autonomous driving, medical AI, etc., but its security has only attracted attention recently. We propose infrared adversarial clothing…

cs.CV2024

Infrared Adversarial Car Stickers

Xiaopei Zhu, Yuqiu Liu, Zhanhao Hu +2

Infrared physical adversarial examples are of great significance for studying the security of infrared AI systems that are widely used in our lives such as autonomous driving. Prev…

cs.CV2024

SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection

Gang Zhang, Junnan Chen, Guohuan Gao +3

LiDAR-based 3D object detection plays an essential role in autonomous driving. Existing high-performing 3D object detectors usually build dense feature maps in the backbone network…

cs.CV2023★ 6 cited

HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds

Gang Zhang, Junnan Chen, Guohuan Gao +2

3D object detection in point clouds is important for autonomous driving systems. A primary challenge in 3D object detection stems from the sparse distribution of points within the…

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