5 citations · 13 across the 9 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…
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…
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…