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Xiangqian Wu

5 papers hereh-index 343 citations16 works total

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

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV1
same name
  • Xiangqian Wu — 4 papers, h 33
  • Xiangqian Wu — 2 papers, h 2
  • Xiangqian Wu — 2 papers, h 3
  • Xiangqian Wu — 2 papers, h 1
  • Xiangqian Wu — 1 paper, h 2
  • Xiangqian Wu — 1 paper, h 4

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

most citedScalable Event Cloud Network for Event-based Classification

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

VGER: Voxel-Guided Global Event Ranking for Event Cloud Attribution

Youxin Jiang, Baoheng Fu, Hongwei Ren +1

Event cameras produce sparse and asynchronous event streams that provide rich spatio-temporal information for efficient perception. Recent advances in event-based models have demon…

cs.CV2026

TVTA: Trajectory-Aware Viseme-Guided Temporal Aggregation for Event-Based Lip Reading

Jingrong Zheng, Hongwei Ren, Xiangqian Wu

Event-based lip reading has recently emerged as a promising direction for visual speech recognition, benefiting from the high temporal resolution and motion sensitivity of event ca…

cs.CV2026

Gaze into the Details: Locality-Sensitive Enhancement for OCTA Retinal Vessel Segmentation

Tuopusen Huang, Ding Ma, Xiangqian Wu

Existing deep learning frameworks for Optical Coherence Tomography Angiography (OCTA) vessel segmentation are largely derived from the U-Net architecture, which serves as the found…

cs.CV2024★ 1 cited

Scalable Event Cloud Network for Event-based Classification

Hongwei Ren, Fei Ma, Xiaopeng Lin +9

Event cameras are biologically inspired sensors garnering significant attention from both industry and academia. Mainstream methods favor frame and voxel representations, which rea…

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