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20232026
most citedVisual Large Language Models for Generalized and Specialized Applications

4 citations · 6 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

Open Set Face Forgery Detection via Dual-Level Evidence Collection

Zhongyi Cai, Bryce Gernon, Wentao Bao +3

The surge in face forgeries has increasingly undermined confidence in the authenticity of online content. As generation algorithms rapidly evolve, new fake categories will constant…

cs.CV2025

Task-Aware Resolution Optimization for Visual Large Language Models

Weiqing Luo, Zhen Tan, Yifan Li +4

Real-world vision-language applications demand varying levels of perceptual granularity. However, most existing visual large language models (VLLMs), such as LLaVA, pre-assume a fi…

cs.CV2025

IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios

Yifan Li, Yuhang Chen, Anh Dao +5

Existing Embodied Question Answering (EQA) benchmarks primarily focus on household environments, often overlooking safety-critical aspects and reasoning processes pertinent to indu…

cs.CV2025

Window Token Concatenation for Efficient Visual Large Language Models

Yifan Li, Wentao Bao, Botao Ye +4

To effectively reduce the visual tokens in Visual Large Language Models (VLLMs), we propose a novel approach called Window Token Concatenation (WiCo). Specifically, we employ a sli…

cs.CV2025★ 4 cited

Visual Large Language Models for Generalized and Specialized Applications

Yifan Li, Zhixin Lai, Wentao Bao +7

Visual-language models (VLM) have emerged as a powerful tool for learning a unified embedding space for vision and language. Inspired by large language models, which have demonstra…

cs.CV2024

Facial Affective Behavior Analysis with Instruction Tuning

Yifan Li, Anh Dao, Wentao Bao +4

Facial affective behavior analysis (FABA) is crucial for understanding human mental states from images. However, traditional approaches primarily deploy models to discriminate amon…