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20162024
most citedStimuli-Aware Visual Emotion Analysis

84 citations · 125 across the 10 of their papers we have counts for

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21 papers · 1 filter

cs.CV2024

Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment

Zhaoyang Wang, Bo Hu, Mingyang Zhang +4

Existing free-energy guided No-Reference Image Quality Assessment (NR-IQA) methods still suffer from finding a balance between learning feature information at the pixel level of th…

cs.CV2023

A Dual Domain Multi-exposure Image Fusion Network based on the Spatial-Frequency Integration

Guang Yang, Jie Li, Xinbo Gao

Multi-exposure image fusion aims to generate a single high-dynamic image by integrating images with different exposures. Existing deep learning-based multi-exposure image fusion me…

cs.CV2023

Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking

Yan Gao, Haojun Xu, Nannan Wang +2

The global multi-object tracking (MOT) system can consider interaction, occlusion, and other ``visual blur'' scenarios to ensure effective object tracking in long videos. Among the…

cs.CV2023

A Multi-scale Information Integration Framework for Infrared and Visible Image Fusion

Guang Yang, Jie Li, Hanxiao Lei +1

Infrared and visible image fusion aims at generating a fused image containing the intensity and detail information of source images, and the key issue is effectively measuring and…

cs.CV2023

EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language Model

Guozhang Li, Xinpeng Ding, De Cheng +3

Early weakly supervised video grounding (WSVG) methods often struggle with incomplete boundary detection due to the absence of temporal boundary annotations. To bridge the gap betw…

cs.CV202184 cited

Stimuli-Aware Visual Emotion Analysis

Jingyuan Yang, Jie Li, Xiumei Wang +2

Visual emotion analysis (VEA) has attracted great attention recently, due to the increasing tendency of expressing and understanding emotions through images on social networks. Dif…