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Xiaofeng Zhang

8 papers hereh-index 215 citations12 works total

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

author position
  • first author1
  • middle author6
  • last author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CL3
  • cs.AI1
same name
  • Xiaofeng Zhang — 14 papers
  • Xiaofeng Zhang — 12 papers, h 12
  • Xiaofeng Zhang — 10 papers, h 6
  • Xiaofeng Zhang — 10 papers, h 7
  • Xiaofeng Zhang — 6 papers, h 6
  • Xiaofeng Zhang — 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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

SoPE: Spherical Coordinate-Based Positional Embedding for Enhancing Spatial Perception of 3D LVLMs

Guanting Ye, Qiyan Zhao, Wenhao Yu +7

3D Large Vision-Language Models (3D LVLMs) built upon Large Language Models (LLMs) have achieved remarkable progress across various multimodal tasks. However, their inherited posit…

cs.CV2026

C^2ROPE: Causal Continuous Rotary Positional Encoding for 3D Large Multimodal-Models Reasoning

Guanting Ye, Qiyan Zhao, Wenhao Yu +4

Recent advances in 3D Large Multimodal Models (LMMs) built on Large Language Models (LLMs) have established the alignment of 3D visual features with LLM representations as the domi…

cs.CV2026

Context Tokens are Anchors: Understanding the Repetition Curse in dMLLMs from an Information Flow Perspective

Qiyan Zhao, Xiaofeng Zhang, Shuochen Chang +7

Recent diffusion-based Multimodal Large Language Models (dMLLMs) suffer from high inference latency and therefore rely on caching techniques to accelerate decoding. However, the ap…

cs.CV2026

Hallucination Begins Where Saliency Drops

Xiaofeng Zhang, Yuanchao Zhu, Chaochen Gu +8

Recent studies have examined attention dynamics in large vision-language models (LVLMs) to detect hallucinations. However, existing approaches remain limited in reliably distinguis…

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