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researcher

Qi Xie

28 papers hereh-index 275.3k citations69 works total

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

author position
  • first author4
  • middle author22

Across the 26 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CV18
  • eess.IV8
  • cs.IT1
  • cs.LG1
same name
  • Qi Xie — 4 papers, h 2
  • Qi Xie — 3 papers, h 6
  • Qi Xie — 3 papers, h 2
  • Qi Xie — 1 paper, h 1
  • Qi Xie — 1 paper, h 2
  • Qi Xie — 1 paper, h 0

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
20142026
most citedMeta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

398 citations · 537 across the 28 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform

Zhongchen Zhao, Jixin Wang, Qi Xie +4

Equivariant networks embed geometric symmetries as structural priors through weight sharing, achieving remarkable parameter efficiency across vision tasks. However, this parameter…

cs.CV2026

Aligning Network Equivariance with Data Symmetry: A Theoretical Framework and Adaptive Approach for Image Restoration

Feiyu Tan, Qi Xie, Zongben Xu +1

Image restoration is an inherently ill posed inverse problem. Equivariant networks that embed geometric symmetry priors can mitigate this ill posedness and improve performance. How…

cs.CV2026

Rotation Equivariant Mamba for Vision Tasks

Zhongchen Zhao, Qi Xie, Keyu Huang +3

Rotation equivariance constitutes one of the most general and crucial structural priors for visual data, yet it remains notably absent from current Mamba-based vision architectures…

cs.CV2026

Vanilla Group Equivariant Vision Transformer: Simple and Effective

Jiahong Fu, Qi Xie, Deyu Meng +1

Incorporating symmetry priors as inductive biases to design equivariant Vision Transformers (ViTs) has emerged as a promising avenue for enhancing their performance. However, exist…

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