MQ-L.C2.2
AN EFFICIENT FRAMEWORK FOR HUMAN ACTION RECOGNITION BASED ON GRAPH CONVOLUTIONAL NETWORKS
Nikolaos Kilis, Christos Papaioannidis, Ioannis Mademlis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
Session:
Learning on Graphs
Track:
Applications of Machine Learning
Location:
Room C2
Presentation Time:
Mon, 17 Oct, 20:15 - 20:30 China Standard Time (UTC +8)
Mon, 17 Oct, 14:15 - 14:30 Central European Time (UTC +1)
Mon, 17 Oct, 12:15 - 12:30 UTC
Mon, 17 Oct, 08:15 - 08:30 Eastern Time (UTC -4)
Mon, 17 Oct, 14:15 - 14:30 Central European Time (UTC +1)
Mon, 17 Oct, 12:15 - 12:30 UTC
Mon, 17 Oct, 08:15 - 08:30 Eastern Time (UTC -4)
Session Chair:
Aykut Koc, Bilkent University
Presentation
Discussion
Resources
No resources available.
Session MQ-L.C2
MQ-L.C2.1: HYPERGRAPH CONVOLUTIONAL NETWORKS FOR WEAKLY-SUPERVISED SEMANTIC SEGMENTATION
Jhony H. Giraldo, Thierry Bouwmans, La Rochelle Université, France; Vincenzo Scarrica, Antonino Staiano, Francesco Camastra, Università di Napoli Parthenope, Italy
MQ-L.C2.2: AN EFFICIENT FRAMEWORK FOR HUMAN ACTION RECOGNITION BASED ON GRAPH CONVOLUTIONAL NETWORKS
Nikolaos Kilis, Christos Papaioannidis, Ioannis Mademlis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
MQ-L.C2.3: MULTI LABEL IMAGE CLASSIFICATION USING ADAPTIVE GRAPH CONVOLUTIONAL NETWORKS (ML-AGCN)
Inder Pal Singh, Enjie Ghorbel, Oyebade Oyedotun, Djamila Aouada, University of Luxembourg, Luxembourg
MQ-L.C2.4: AUTOMATIC FUZZY GRAPH CONSTRUCTION FOR INTERPRETABLE IMAGE CLASSIFICATION
Georgia Sovatzidi, Michael Vasilakakis, Dimitris Iakovidis, University of Thessaly, Greece
MQ-L.C2.5: Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval
Lucas Barbosa de Almeida, Lucas Pascotti Valem, Daniel Pedronette, São Paulo State University (UNESP), Brazil