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20232026
most citedVideo Understanding with Large Language Models: A Survey

8 citations · 18 across the 10 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

LongVALE: Vision-Audio-Language-Event Benchmark Towards Time-Aware Omni-Modal Perception of Long Videos

Tiantian Geng, Jinrui Zhang, Qingni Wang +3

Despite impressive advancements in video understanding, most efforts remain limited to coarse-grained or visual-only video tasks. However, real-world videos encompass omni-modal in…

cs.CL2024★ 3 cited

Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models

Qingni Wang, Tiantian Geng, Zhiyuan Wang +3

Multimodal Large Language Models (MLLMs) exhibit promising advancements across various tasks, yet they still encounter significant trustworthiness issues. Prior studies apply Split…

cs.CV2024★ 1 cited

Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models

Jinrui Zhang, Teng Wang, Haigang Zhang +2

Large vision-language models (LVLMs) have shown promising performance on a variety of vision-language tasks. However, they remain susceptible to hallucinations, generating outputs…

cs.CV2024

Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer

Xinpeng Li, Teng Wang, Jian Zhao +5

Emotion recognition aims to discern the emotional state of subjects within an image, relying on subject-centric and contextual visual cues. Current approaches typically follow a tw…

cs.CV2024★ 6 cited

UniAV: Unified Audio-Visual Perception for Multi-Task Video Event Localization

Tiantian Geng, Teng Wang, Jinming Duan +4

Video event localization tasks include temporal action localization (TAL), sound event detection (SED) and audio-visual event localization (AVEL). Existing methods tend to over-spe…