activity
20162021
most citedStimuli-Aware Visual Emotion Analysis

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

collaborators

17 papers

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…

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.CV202110 cited

Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer

Tianwei Lin, Zhuoqi Ma, Fu Li +6

Artistic style transfer aims at migrating the style from an example image to a content image. Currently, optimization-based methods have achieved great stylization quality, but exp…

cs.CV2020

Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition

Bing Cao, Nannan Wang, Xinbo Gao +2

Heterogeneous face recognition (HFR) refers to matching face images acquired from different domains with wide applications in security scenarios. This paper presents a deep neural…

cs.CV20201 cited

Facial Attribute Capsules for Noise Face Super Resolution

Jingwei Xin, Nannan Wang, Xinrui Jiang +3

Existing face super-resolution (SR) methods mainly assume the input image to be noise-free. Their performance degrades drastically when applied to real-world scenarios where the in…

cs.CV20201 cited

Video Face Super-Resolution with Motion-Adaptive Feedback Cell

Jingwei Xin, Nannan Wang, Jie Li +2

Video super-resolution (VSR) methods have recently achieved a remarkable success due to the development of deep convolutional neural networks (CNN). Current state-of-the-art CNN me…