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Poster++: A simpler and stronger facial expression recognition network
The POSTER has achieved SOTA performance in facial expression recognition (FER) by
effectively combining facial landmarks and image features through its two-stream pyramid …
effectively combining facial landmarks and image features through its two-stream pyramid …
Faceptor: A generalist model for face perception
With the comprehensive research conducted on various face analysis tasks, there is a
growing interest among researchers to develop a unified approach to face perception …
growing interest among researchers to develop a unified approach to face perception …
Mixture of deep networks for facial age estimation
Q Zhao, J Liu, W Wei - Information Sciences, 2024 - Elsevier
In this paper, our objective is to simultaneously explore the learning of ordinal relationships
among age labels and address the challenge of heterogeneous data resulting from the non …
among age labels and address the challenge of heterogeneous data resulting from the non …
Face-mllm: A large face perception model
Although multimodal large language models (MLLMs) have achieved promising results on a
wide range of vision-language tasks, their ability to perceive and understand human faces is …
wide range of vision-language tasks, their ability to perceive and understand human faces is …
GroupFace: Imbalanced Age Estimation Based on Multi-hop Attention Graph Convolutional Network and Group-aware Margin Optimization
With the recent advances in computer vision, age estimation has significantly improved in
overall accuracy. However, owing to the most common methods do not take into account the …
overall accuracy. However, owing to the most common methods do not take into account the …
Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning
Facial action units (AUs), as defined in the Facial Action Coding System (FACS), have
received significant research interest owing to their diverse range of applications in facial …
received significant research interest owing to their diverse range of applications in facial …
Mfdan: Multi-level flow-driven attention network for micro-expression recognition
Facial expressions are an essential part of human emotional communication, and micro-
expressions (MEs), as transient and imperceptible non-verbal signals, can potentially reveal …
expressions (MEs), as transient and imperceptible non-verbal signals, can potentially reveal …
eDifFIQA: Towards Efficient Face Image Quality Assessment Based On Denoising Diffusion Probabilistic Models
State-of-the-art Face Recognition (FR) models perform well in constrained scenarios, but
frequently fail in difficult real-world scenarios, when no quality guarantees can be made for …
frequently fail in difficult real-world scenarios, when no quality guarantees can be made for …
Open-Set Biometrics: Beyond Good Closed-Set Models
Biometric recognition has primarily addressed closed-set identification, assuming all probe
subjects are in the gallery. However, most practical applications involve open-set biometrics …
subjects are in the gallery. However, most practical applications involve open-set biometrics …
A self-supervised learning network for student engagement recognition from facial expressions
WL Zhang, RS Jia, H Wang, CY Che… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Student engagement in online learning is an important indicator for measuring learning
effectiveness. Due to the fact that facial video data of students during online learning …
effectiveness. Due to the fact that facial video data of students during online learning …