Session 1 (13h30-14h30) : Conventional Camera Modality (1h) - Chair: Dr. Islam Osman (UBC, Canada)
Invited Talk: Anastasia Zakharova, (Lab/ MIA, La Rochelle Univ., France) (40 min presentation + 20 min questions)
Practicable Inductive Graph Neural Networks for Moving Object Detection
Session 2 (15h-16h) : Accepted papers (15 min each + 5 min discussion/questions) - Chair: Dr. Islam Osman (UBC, Canada)
Knowledge Distillation with Enhanced Lightweight STGCN for Gait Disorders Recognition
Zakariae Zrimek (Mohammed V University, Rabat, Morroco), Youssef Mourchid (CESI, Dijon, France), Mohammed El Hassouni (Mohammed V University, Rabat, Morroco)
GNN-MOE: Context-Aware Patch Routing using GNNs for Parameter-Efficient Domain Generalization
Mahmoud Soliman (UBC, Canada), Omar Abdelaziz (UBC, Canada), Ahmed Radwan (UBC, Canada), Anand (UBC, Canada), Mohamed S. Shehata (UBC, Canada)
UTAL-GNN: Unsupervised Temporal Action Localization using Graph Neural Networks
Bikash Kumar Badatya (IIT Gandhinagar, India), Vipul Baghel (IIT Gandhinagar, India), Ravi Hegde (IIT Gandhinagar, India)
Session 3 (16h30-17h30) : Event-based Camera Modality (1h) - Chair: Dr. Islam Osman (UBC, Canada)
Invited Talk: Pr. Tomasz Kryjak, (AGH University of Krakow, Poland) (40 min presentation + 20 min questions)
Real-Time Processing of DVS (event camera streams) using GNNs and FPGAs