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From the 1 of 41 linked papers with an AI index.

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20242026
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cs.CV2026

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey

Bingzheng Qu, Kehai Chen, Xuefeng Bai +1

Recent progress in multimodal large language models (MLLMs) is reshaping video translation from a cascaded pipeline of automatic speech recognition, machine translation, text-to-sp…

cs.CV2026

Beyond Rigid: Benchmarking Non-Rigid Video Editing

Bingzheng Qu, Xuefeng Bai, Kehai Chen +1

As video generation models are increasingly expected to manipulate physical dynamics, there is a growing need to move evaluation beyond appearance fidelity and semantic alignment.…

cs.CV2026

Decoupling Skeleton and Flesh: Efficient Multimodal Table Reasoning with Disentangled Alignment and Structure-aware Guidance

Yingjie Zhu, Xuefeng Bai, Kehai Chen +4

Reasoning over table images remains challenging for Large Vision-Language Models (LVLMs) due to complex layouts and tightly coupled structure-content information. Existing solution…

cs.CV2026

Through the Lens of Character: Resolving Modality-Role Interference in Multimodal Role-Playing Agent

Yihong Tang, Kehai Chen, Xuefeng Bai +1

The advancement of Multimodal Large Language Models (MLLMs) has expanded Role-Playing Agents (RPAs) into visually grounded environments. However, human vision is inherently subject…

cs.CV2026

Mitigating Multimodal Hallucination via Phase-wise Self-reward

Yu Zhang, Chuyang Sun, Kehai Chen +3

Large Vision-Language Models (LVLMs) still struggle with vision hallucination, where generated responses are inconsistent with the visual input. Existing methods either rely on lar…

cs.CV2026

Culture In a Frame: CB as a Comic-Based Benchmark for Multimodal Culturally Awareness

Yuchen Song, Andong Chen, Wenxin Zhu +4

Cultural awareness capabilities have emerged as a critical capability for Multimodal Large Language Models (MLLMs). However, current benchmarks lack progressed difficulty in their…