240 citations · 1.3k across the 195 of their papers we have counts for
13 papers · 1 filter
XGC-AVis: Towards Audio-Visual Content Understanding with a Multi-Agent Collaborative System
Yuqin Cao, Xiongkuo Min, Yixuan Gao +4
In this paper, we propose XGC-AVis, a multi-agent framework that enhances the audio-video temporal alignment capabilities of multimodal large models (MLLMs) and improves the effici…
EEmo-Bench: A Benchmark for Multi-modal Large Language Models on Image Evoked Emotion Assessment
Lancheng Gao, Ziheng Jia, Yunhao Zeng +5
The furnishing of multi-modal large language models (MLLMs) has led to the emergence of numerous benchmark studies, particularly those evaluating their perception and understanding…
AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment
Yuqin Cao, Xiongkuo Min, Yixuan Gao +2
Many video-to-audio (VTA) methods have been proposed for dubbing silent AI-generated videos. An efficient quality assessment method for AI-generated audio-visual content (AGAV) is…
Subjective and Objective Quality-of-Experience Evaluation Study for Live Video Streaming
Zehao Zhu, Wei Sun, Jun Jia +7
In recent years, live video streaming has gained widespread popularity across various social media platforms. Quality of experience (QoE), which reflects end-users' satisfaction an…
Towards Effective User Attribution for Latent Diffusion Models via Watermark-Informed Blending
Yongyang Pan, Xiaohong Liu, Siqi Luo +5
Rapid advancements in multimodal large language models have enabled the creation of hyper-realistic images from textual descriptions. However, these advancements also raise signifi…
fMRI Exploration of Visual Quality Assessment
Yiming Zhang, Ying Hu, Xiongkuo Min +2
Despite significant strides in visual quality assessment, the neural mechanisms underlying visual quality perception remain insufficiently explored. This study employed fMRI to exa…
Perceptual Video Quality Assessment: A Survey
Xiongkuo Min, Huiyu Duan, Wei Sun +2
Perceptual video quality assessment plays a vital role in the field of video processing due to the existence of quality degradations introduced in various stages of video signal ac…
Deep Neural Network for Blind Visual Quality Assessment of 4K Content
Wei Lu, Wei Sun, Xiongkuo Min +7
The 4K content can deliver a more immersive visual experience to consumers due to the huge improvement of spatial resolution. However, existing blind image quality assessment (BIQA…
Blind Surveillance Image Quality Assessment via Deep Neural Network Combined with the Visual Saliency
Wei Lu, Wei Sun, Wenhan Zhu +4
The intelligent video surveillance system (IVSS) can automatically analyze the content of the surveillance image (SI) and reduce the burden of the manual labour. However, the SIs m…
Deep Decomposition and Bilinear Pooling Network for Blind Night-Time Image Quality Evaluation
Qiuping Jiang, Jiawu Xu, Yudong Mao +3
Blind image quality assessment (BIQA), which aims to accurately predict the image quality without any pristine reference information, has been extensively concerned in the past dec…
A Brief Survey on Adaptive Video Streaming Quality Assessment
Wei Zhou, Xiongkuo Min, Hong Li +1
Quality of experience (QoE) assessment for adaptive video streaming plays a significant role in advanced network management systems. It is especially challenging in case of dynamic…
Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training
Wei Sun, Xiongkuo Min, Danyang Tu +2
Image quality assessment (IQA) is very important for both end-users and service providers since a high-quality image can significantly improve the user's quality of experience (QoE…
Quality Assessment of Free-viewpoint Videos by Quantifying the Elastic Changes of Multi-Scale Motion Trajectories
Suiyi Ling, Jing Li, Zhaohui Che +3
Virtual viewpoints synthesis is an essential process for many immersive applications including Free-viewpoint TV (FTV). A widely used technique for viewpoints synthesis is Depth-Im…