Schedule

September 15th, 2024

9.40-10.30 am: Keynote

• Diego Vitali (University College London, UK):
  A hitchhiker’s guide to wearable tech for the study of chronic pain in the wild

10.30-10.50 am: Morning coffee  

10.50-11.20 am:

• Pooja Prajod, Dominik Schiller, Daksitha Withanage Don and Elisabeth André:
  Faces of Experimental Pain: Transferability of Deep-Learned Heat Pain Features to Electrical Pain

11.20-11.50 am:

• Stefanos Gkikas and Manolis Tsiknakis:
  Synthetic Thermal and RGB Videos for Automatic Pain Assessment utilizing a Vision-MLP Architecture

11.50-12.20 am:

• Maximilian Rau and Itir Onal Ertugrul:
  Video Swin Transformers in Pain Detection: A Comprehensive Evaluation of Effectiveness, Generalizability, and Explainability

12.30-2 pm: Lunch  

2-2.30 pm:

• Mina Bishay, Graham Page and Mohammad Mavadati:
  PainNet: Statistical Relation Network with Episode-Based Training for Pain Estimation

 2.30-3 pm:

• Jens Ruhof, Thijs van Loon and Albert Ali Salah:
  Automatic pain estimation in equine faces: More effective uses for regions of interest

3-3.30 pm: Challenge description

3.30-4 pm:

• Stefanos Gkikas and Manolis Tsiknakis:
  Twins-PainViT: Towards a Modality-Agnostic Vision Transformer Framework for Multimodal Automatic Pain Assessment using Facial Videos and fNIRS