3 citations · 3 across the 3 of their papers we have counts for
6 papers · 1 filter
LLDif: Diffusion Models for Low-light Emotion Recognition
Zhifeng Wang, Kaihao Zhang, Ramesh Sankaranarayana
This paper introduces LLDif, a novel diffusion-based facial expression recognition (FER) framework tailored for extremely low-light (LL) environments. Images captured under such co…
Authentic Emotion Mapping: Benchmarking Facial Expressions in Real News
Qixuan Zhang, Zhifeng Wang, Yang Liu +4
In this paper, we present a novel benchmark for Emotion Recognition using facial landmarks extracted from realistic news videos. Traditional methods relying on RGB images are resou…
LRDif: Diffusion Models for Under-Display Camera Emotion Recognition
Zhifeng Wang, Kaihao Zhang, Ramesh Sankaranarayana
This study introduces LRDif, a novel diffusion-based framework designed specifically for facial expression recognition (FER) within the context of under-display cameras (UDC). To a…
Using Scene and Semantic Features for Multi-modal Emotion Recognition
Zhifeng Wang, Ramesh Sankaranarayana
Automatic emotion recognition is a hot topic with a wide range of applications. Much work has been done in the area of automatic emotion recognition in recent years. The focus has…
HTNet for micro-expression recognition
Zhifeng Wang, Kaihao Zhang, Wenhan Luo +1
Facial expression is related to facial muscle contractions and different muscle movements correspond to different emotional states. For micro-expression recognition, the muscle mov…
Abs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convolutional Neural Networks
Chunyan Zeng, Kang Yan, Zhifeng Wang +3
The black-box nature of Deep Neural Networks (DNNs) severely hinders its performance improvement and application in specific scenes. In recent years, class activation mapping-based…