most citedEngagement Prediction of Short Videos with Large Multimodal Models

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.CV2025

VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results

Dasong Li, Sizhuo Ma, Hang Hua +40

This paper presents an overview of the VQualA 2025 Challenge on Engagement Prediction for Short Videos, held in conjunction with ICCV 2025. The challenge focuses on understanding a…

cs.CV20251 cited

Engagement Prediction of Short Videos with Large Multimodal Models

Wei Sun, Linhan Cao, Yuqin Cao +7

The rapid proliferation of user-generated content (UGC) on short-form video platforms has made video engagement prediction increasingly important for optimizing recommendation syst…

cs.CV2025

Efficient Face Image Quality Assessment via Self-training and Knowledge Distillation

Wei Sun, Weixia Zhang, Linhan Cao +5

Face image quality assessment (FIQA) is essential for various face-related applications. Although FIQA has been extensively studied and achieved significant progress, the computati…

eess.IV2025

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results

Xin Li, Kun Yuan, Bingchen Li +110

This paper presents a review for the NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement. The challenge comprises two tracks: (i) Efficient Video Qualit…

eess.IV2024

NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results

Xin Li, Kun Yuan, Yajing Pei +65

This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected da…