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Guanyu Zhou

6 papers hereh-index 355 citations8 works total

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

author position
  • first author3
  • middle author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI2
same name
  • Guanyu Zhou — 10 papers, h 14
  • Guanyu Zhou — 7 papers, h 3
  • Guanyu Zhou — 5 papers, h 13
  • Guanyu Zhou — 3 papers, h 1
  • Guanyu Zhou — 2 papers, h 3
  • Guanyu Zhou — 1 paper, h 2

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
20242026
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images

Guanyu Zhou, Yida Yin, Wenhao Chai +3

Vision-language models (VLMs) still struggle with visual perception tasks such as spatial understanding and viewpoint recognition, largely because natural image datasets provide li…

cs.CV2025

CML-Bench: A Framework for Evaluating and Enhancing LLM-Powered Movie Scripts Generation

Mingzhe Zheng, Dingjie Song, Guanyu Zhou +7

Large Language Models (LLMs) have demonstrated remarkable proficiency in generating highly structured texts. However, while exhibiting a high degree of structural organization, mov…

cs.CV2024

OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions

Guanyu Zhou, Wenxuan Liu, Wenxin Huang +3

The lack of occlusion data in common action recognition video datasets limits model robustness and hinders consistent performance gains. We build OccludeNet, a large-scale occluded…

cs.CV2024

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Guanyu Zhou, Yibo Yan, Xin Zou +3

Multimodal Large Language Models (MLLMs) have emerged as a central focus in both industry and academia, but often suffer from biases introduced by visual and language priors, which…

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