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20172022
most citedSOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network

61 citations · 114 across the 10 of their papers we have counts for

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10 papers · 1 filter

cs.CV20224 cited

Personalized Image Aesthetics Assessment with Rich Attributes

Yuzhe Yang, Liwu Xu, Leida Li +4

Personalized image aesthetics assessment (PIAA) is challenging due to its highly subjective nature. People's aesthetic tastes depend on diversified factors, including image charact…

cs.CV202161 cited

SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network

Jingyuan Yang, Xinbo Gao, Leida Li +2

Visual Emotion Analysis (VEA) aims at finding out how people feel emotionally towards different visual stimuli, which has attracted great attention recently with the prevalence of…

cs.CV20212 cited

StarVQA: Space-Time Attention for Video Quality Assessment

Fengchuang Xing, Yuan-Gen Wang, Hanpin Wang +2

The attention mechanism is blooming in computer vision nowadays. However, its application to video quality assessment (VQA) has not been reported. Evaluating the quality of in-the-…

cs.CV20214 cited

A Circular-Structured Representation for Visual Emotion Distribution Learning

Jingyuan Yang, Jie Li, Leida Li +2

Visual Emotion Analysis (VEA) has attracted increasing attention recently with the prevalence of sharing images on social networks. Since human emotions are ambiguous and subjectiv…

cs.CV20201 cited

Cuid: A new study of perceived image quality and its subjective assessment

Lucie Lévêque, Ji Yang, Xiaohan Yang +5

Research on image quality assessment (IQA) remains limited mainly due to our incomplete knowledge about human visual perception. Existing IQA algorithms have been designed or train…

cs.CV2020

Accurate and Lightweight Image Super-Resolution with Model-Guided Deep Unfolding Network

Qian Ning, Weisheng Dong, Guangming Shi +2

Deep neural networks (DNNs) based methods have achieved great success in single image super-resolution (SISR). However, existing state-of-the-art SISR techniques are designed like…