activity
20182022
most citedLightweight Image Super-Resolution with Information Multi-distillation Network

1k citations · 1.4k across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2022★ 27 cited

Seeking Subjectivity in Visual Emotion Distribution Learning

Jingyuan Yang, Jie Li, Leida Li +3

Visual Emotion Analysis (VEA), which aims to predict people's emotions towards different visual stimuli, has become an attractive research topic recently. Rather than a single labe…

cs.CV2021★ 61 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.CV2021★ 84 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.CV2021★ 4 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…

eess.IV2021★ 9 cited

Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report

Andrey Ignatov, Andres Romero, Heewon Kim +28

Video super-resolution has recently become one of the most important mobile-related problems due to the rise of video communication and streaming services. While many solutions hav…

cs.CV2020★ 39 cited

Image Fine-grained Inpainting

Zheng Hui, Jie Li, Xiumei Wang +1

Image inpainting techniques have shown promising improvement with the assistance of generative adversarial networks (GANs) recently. However, most of them often suffered from compl…