mlsanityData to 14 Oct 2026

QAFE-Net: Quality Assessment of Facial Expressions with Landmark Heatmaps

arXiv 2312.00856 ↗First posted 1 Dec 2023cs.CVcited by 2

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Abstract (arXiv)

Facial expression recognition (FER) methods have made great inroads in categorising moods and feelings in humans. Beyond FER, pain estimation methods assess levels of intensity in pain expressions, however assessing the quality of all facial expressions is of critical value in health-related applications. In this work, we address the quality of five different facial expressions in patients affected by Parkinson's disease. We propose a novel landmark-guided approach, QAFE-Net, that combines temporal landmark heatmaps with RGB data to capture small facial muscle movements that are encoded and mapped to severity scores. The proposed approach is evaluated on a new Parkinson's Disease Facial Expression dataset (PFED5), as well as on the pain estimation benchmark, the UNBC-McMaster Shoulder Pain Expression Archive Database. Our comparative experiments demonstrate that the proposed method outperforms SOTA action quality assessment works on PFED5 and achieves lower mean absolute error than the SOTA pain estimation methods on UNBC-McMaster. Our code and the new PFED5 dataset are available at https://github.com/shuchaoduan/QAFE-Net.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 24 of its 50 references that are in the map. First posted on arXiv 1 Dec 2023.

Builds on

24 of 50 references.

References · 24

  1. 2017Attention Is All You Needcited by 60,361
  2. 2019NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understandingcited by 533
  3. 2021Revisiting Skeleton-based Action Recognitioncited by 257
  4. 2021Delving into Deep Imbalanced Regressioncited by 158
  5. 2020DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wildcited by 128
  6. 2022FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessmentcited by 107
  7. 2021Sample and Computation Redistribution for Efficient Face Detectioncited by 89
  8. 2022Balanced MSE for Imbalanced Visual Regressioncited by 89
  9. 2016Learning To Score Olympic Eventscited by 88
  10. 2020Uncertainty-aware Score Distribution Learning for Action Quality Assessmentcited by 80
  11. 2018Action Quality Assessment Across Multiple Actionscited by 79
  12. 2021Group-aware Contrastive Regression for Action Quality Assessmentcited by 75
12 more
  1. 2020Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wildcited by 74
  2. 2018Facial Landmark Detection: a Literature Surveycited by 63
  3. 2022POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognitioncited by 49
  4. 2023STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detectioncited by 43
  5. 2022Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wildcited by 41
  6. 2019Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Datasetcited by 39
  7. 2020Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?cited by 31
  8. 2022Action Quality Assessment with Temporal Parsing Transformercited by 31
  9. 2023Precise Facial Landmark Detection by Reference Heatmap Transformercited by 16
  10. 2020Automatic Estimation of Self-Reported Pain by Interpretable Representations of Motion Dynamicscited by 4
  11. 2020Exploring Motion Boundaries in an End-to-End Network for Vision-based Parkinson's Severity Assessmentcited by 4
  12. 2022Automatic Estimation of Self-Reported Pain by Trajectory Analysis in the Manifold of Fixed Rank Positive Semi-Definite Matricescited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025Trajectory-guided Motion Perception for Facial Expression Quality Assessment in Neurological Disorderscited by 1
  2. 2026TraMP-LLaMA: Generative Interpretability with Decoupled Instruction Tuning for Facial Expression Quality Assessmentcited by 0