mlsanityData to 14 Oct 2026

Synthetic Thermal and RGB Videos for Automatic Pain Assessment utilizing a Vision-MLP Architecture

arXiv 2407.19811 ↗First posted 29 Jul 2024cs.CV cs.AIcited by 12

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Abstract (arXiv)

Pain assessment is essential in developing optimal pain management protocols to alleviate suffering and prevent functional decline in patients. Consequently, reliable and accurate automatic pain assessment systems are essential for continuous and effective patient monitoring. This study presents synthetic thermal videos generated by Generative Adversarial Networks integrated into the pain recognition pipeline and evaluates their efficacy. A framework consisting of a Vision-MLP and a Transformer-based module is utilized, employing RGB and synthetic thermal videos in unimodal and multimodal settings. Experiments conducted on facial videos from the BioVid database demonstrate the effectiveness of synthetic thermal videos and underline the potential advantages of it.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 11 of its 44 references that are in the map. First posted on arXiv 29 Jul 2024.

Builds on

11 of 44 references.

References · 11

  1. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,527
  2. 2017Improved Training of Wasserstein GANscited by 2,235
  3. 2014Conditional Generative Adversarial Netscited by 2,162
  4. 2021MLP-Mixer: An all-MLP Architecture for Visioncited by 1,446
  5. 2017High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANscited by 1,179
  6. 2016Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networkscited by 903
  7. 2017AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wildcited by 492
  8. 2022DigiFace-1M: 1 Million Digital Face Images for Face Recognitioncited by 92
  9. 2021An Image Patch is a Wave: Phase-Aware Vision MLPcited by 61
  10. 2020SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streamscited by 21
  11. 2024Multi-task Neural Networks for Pain Intensity Estimation using Electrocardiogram and Demographic Factorscited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 7.

12 papers.

  1. 2025Efficient Pain Recognition via Respiration Signals: A Single Cross-Attention Transformer Multi-Window Fusion Pipelinecited by 11
  2. 2025PainFormer: a Vision Foundation Model for Automatic Pain Assessmentcited by 10
  3. 2025Multi-Representation Diagrams for Pain Recognition: Integrating Various Electrodermal Activity Signals into a Single Imagecited by 9
  4. 2025Tiny-BioMoE: a Lightweight Embedding Model for Biosignal Analysiscited by 8
  5. 2026A Lightweight Transformer for Pain Recognition from Brain Activitycited by 7
  6. 2026A Unified Tokenization Framework for Pain Recognition using Heterogeneous 3D Modalitiescited by 7
  7. 2026ReFace: Reorganizing Facial Spatiotemporal Representations for Improved Pain Assessmentcited by 7
  8. 2026Efficient Emotion-Aware Iconic Gesture Prediction for Robot Co-Speechcited by 4
  9. 2026Beyond the Raw Waveform: Fusing Visual Representations of EDA for Stress Detectioncited by 3
  10. 2026A Multi-Scale Temporal Framework with Dynamic Fusion for EEG-Based Emotion Recognitioncited by 2
  11. 2026One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessmentcited by 1
  12. 2025A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videoscited by 0