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Kecheng Zheng*

2 accepted papers

2024

Language-Image Pre-training with Long Captions

ECCV 2024poster

"Language-image pre-training largely relies on how precisely and thoroughly a text describes its paired image. In practice, however, the contents of an image can be so rich that well describing them requires lengthy captions (e.g., with 10 sentences), which are usually missing in existing datasets.…

2024

Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs

ECCV 2024poster

"Existing Large Vision-Language Models (LVLMs) primarily align image features of vision encoder with Large Language Models (LLMs) to leverage their superior text generation capabilities. However, the scale disparity between vision encoder and language model may led to LLMs assuming a predominant rol…