MO4.L4.3
UTAL-GNN: UNSUPERVISED TEMPORAL ACTION LOCALIZATION USING GRAPH NEURAL NETWORKS
Bikash Kumar Badatya, Vipul Baghel, Ravi Hegde, Indian Institute of Technology Gandhinagar, India
Session:
MO4.L4: Real-Time Implementation and Lightweight GNNs for Conventional and Event- based Cameras (RT-GNNs 2025) Lecture
Track:
Satellite Workshops
Location:
Dena'ina: Kahtnu 2
Presentation Time:
Mon, 15 Sep, 16:48 - 16:57 Anchorage Time (UTC -9)
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Session MO4.L4
MO4.L4.1: KNOWLEDGE DISTILLATION WITH ENHANCED LIGHTWEIGHT STGCN FOR GAIT DISORDERS RECOGNITION
Zakariae Zrimek, LRIT, FSR, Mohammed V University in Rabat, Maroc, Morocco; Youssef Mourchid, CESI, CESI LINEACT, UR 7527, Dijon, France, Morocco; Mohammed El Hassouni, LRIT, FLSH, Mohammed V University in Rabat, Maroc, Morocco
MO4.L4.2: GNN-MOE: CONTEXT-AWARE PATCH ROUTING USING GNNS FOR PARAMETER-EFFICIENT DOMAIN GENERALIZATION
Mahmoud Soliman, Omar Abdelaziz, Ahmed Radwan, Anand -, Mohamed S. Shehata, UBC, Canada
MO4.L4.3: UTAL-GNN: UNSUPERVISED TEMPORAL ACTION LOCALIZATION USING GRAPH NEURAL NETWORKS
Bikash Kumar Badatya, Vipul Baghel, Ravi Hegde, Indian Institute of Technology Gandhinagar, India
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