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Lei Sun

17 papers hereh-index 14848 citations32 works total

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

author position
  • sole author6
  • first author5
  • middle author5

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.RO1
  • eess.IV1
same name
  • Lei Sun — 31 papers, h 10
  • Lei Sun — 24 papers, h 10
  • Lei Sun — 18 papers, h 6
  • Lei Sun — 13 papers, h 17
  • Lei Sun — 12 papers, h 12
  • Lei Sun — 11 papers, h 33

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
20192023
most citedEvent-Based Fusion for Motion Deblurring with Cross-modal Attention

178 citations · 277 across the 17 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022

Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations

Qi Jiang, Hao Shi, Shaohua Gao +5

Semantic scene understanding with Minimalist Optical Systems (MOS) in mobile and wearable applications remains a challenge due to the corrupted imaging quality induced by optical a…

eess.IV2022★ 1 cited

Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens

Qi Jiang, Hao Shi, Lei Sun +3

Panoramic Annular Lens (PAL) composed of few lenses has great potential in panoramic surrounding sensing tasks for mobile and wearable devices because of its tiny size and large Fi…

cs.CV2022★ 3 cited

Efficient Human Pose Estimation via 3D Event Point Cloud

Jiaan Chen, Hao Shi, Yaozu Ye +3

Human Pose Estimation (HPE) based on RGB images has experienced a rapid development benefiting from deep learning. However, event-based HPE has not been fully studied, which remain…

cs.CV2022★ 3 cited

Outlier-Robust Geometric Perception: A Novel Thresholding-Based Estimator with Intra-Class Variance Maximization

Lei Sun

Geometric perception problems are fundamental tasks in robotics and computer vision. In real-world applications, they often encounter the inevitable issue of outliers, preventing t…

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