activity
20232026
most citedExploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition

1 citations · 2 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

MIAR: Modality Interaction and Alignment Representation Fuison for Multimodal Emotion

Jichao Zhu, Jun Yu

Multimodal Emotion Recognition (MER) aims to perceive human emotions through three modes: language, vision, and audio. Previous methods primarily focused on modal fusion without ad…

cs.CV2024

AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts

Jun Yu, Zerui Zhang, Zhihong Wei +6

Leveraging the synergy of both audio data and visual data is essential for understanding human emotions and behaviors, especially in in-the-wild setting. Traditional methods for in…

cs.CV2024

Multimodal Fusion Method with Spatiotemporal Sequences and Relationship Learning for Valence-Arousal Estimation

Jun Yu, Gongpeng Zhao, Yongqi Wang +7

This paper presents our approach for the VA (Valence-Arousal) estimation task in the ABAW6 competition. We devised a comprehensive model by preprocessing video frames and audio seg…

cs.CV2024★ 1 cited

Compound Expression Recognition via Multi Model Ensemble

Jun Yu, Jichao Zhu, Wangyuan Zhu

Compound Expression Recognition (CER) plays a crucial role in interpersonal interactions. Due to the existence of Compound Expressions , human emotional expressions are complex, re…

cs.CV2024

Exploring Facial Expression Recognition through Semi-Supervised Pretraining and Temporal Modeling

Jun Yu, Zhihong Wei, Zhongpeng Cai +6

Facial Expression Recognition (FER) plays a crucial role in computer vision and finds extensive applications across various fields. This paper aims to present our approach for the…

cs.MM2024

Efficient Feature Extraction and Late Fusion Strategy for Audiovisual Emotional Mimicry Intensity Estimation

Jun Yu, Wangyuan Zhu, Jichao Zhu

In this paper, we present the solution to the Emotional Mimicry Intensity (EMI) Estimation challenge, which is part of 6th Affective Behavior Analysis in-the-wild (ABAW) Competitio…

cs.CV2023★ 1 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…