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Feng Zheng*

2 accepted papers

2024

Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models

ECCV 2024poster

"Large vision-language models (LVLMs) have shown promising performance on a variety of vision-language tasks. However, they remain susceptible to hallucinations, generating outputs misaligned with visual content or instructions. While various mitigation strategies have been proposed, they often negl…

Cited by 7SourcePDFScholar
2024

Tuning-Free Image Customization with Image and Text Guidance

ECCV 2024poster

"Despite significant advancements in image customization with diffusion models, current methods still have several limitations: 1) unintended changes in non-target areas when regenerating the entire image; 2) guidance solely by a reference image or text descriptions; and 3) time-consuming fine-tunin…