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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…

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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…