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20232025
most citedLever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

2 citations · 3 across the 9 of their papers we have counts for

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cs.CV2025

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment

Junjie Gao, Runze Liu, Yingzhe Peng +4

Document quality assessment is critical for a wide range of applications including document digitization, OCR, and archival. However, existing approaches often struggle to provide…

cs.CV2025

L-CLIPScore: a Lightweight Embedding-based Captioning Metric for Evaluating and Training

Li Li, Yingzhe Peng, Xu Yang +4

We propose a novel embedding-based captioning metric termed as L-CLIPScore that can be used for efficiently evaluating caption quality and training captioning model. L-CLIPScore is…

cs.CV2024

First Place Solution to the Multiple-choice Video QA Track of The Second Perception Test Challenge

Yingzhe Peng, Yixiao Yuan, Zitian Ao +4

In this report, we present our first-place solution to the Multiple-choice Video Question Answering (QA) track of The Second Perception Test Challenge. This competition posed a com…

cs.CV2024

ICCV23 Visual-Dialog Emotion Explanation Challenge: SEU_309 Team Technical Report

Yixiao Yuan, Yingzhe Peng

The Visual-Dialog Based Emotion Explanation Generation Challenge focuses on generating emotion explanations through visual-dialog interactions in art discussions. Our approach comb…

cs.CV2023★ 2 cited

Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

Xu Yang, Yingzhe Peng, Haoxuan Ma +4

As Archimedes famously said, ``Give me a lever long enough and a fulcrum on which to place it, and I shall move the world'', in this study, we propose to use a tiny Language Model…