most citedMulti-model Ensemble Learning Method for Human Expression Recognition

4 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023

SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement

Jun Yu, Shenshen Du, Guochen Xie +4

Synthetic Aperture Radar (SAR) to electro-optical (EO) image translation is a fundamental task in remote sensing that can enrich the dataset by fusing information from different so…

cs.CV20231 cited

Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition

Jun Yu, Zhongpeng Cai, Renda Li +4

Facial Expression Recognition (FER) is an important task in computer vision and has wide applications in human-computer interaction, intelligent security, emotion analysis, and oth…

cs.CV2023

Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection

Jun Yu, Renda Li, Zhongpeng Cai +4

Human affective behavior analysis plays a vital role in human-computer interaction (HCI) systems. In this paper, we introduce our submission to the CVPR 2023 Competition on Affecti…

cs.AI2023

A Dual Branch Network for Emotional Reaction Intensity Estimation

Jun Yu, Jichao Zhu, Wangyuan Zhu +4

Emotional Reaction Intensity(ERI) estimation is an important task in multimodal scenarios, and has fundamental applications in medicine, safe driving and other fields. In this pape…

cs.CV20224 cited

Multi-model Ensemble Learning Method for Human Expression Recognition

Jun Yu, Zhongpeng Cai, Peng He +2

Analysis of human affect plays a vital role in human-computer interaction (HCI) systems. Due to the difficulty in capturing large amounts of real-life data, most of the current met…