FP-V1.V2.3
TOPOLOGICALLY-CONSISTENT MAGNITUDE PRUNING FOR VERY LIGHTWEIGHT GRAPH CONVOLUTIONAL NETWORKS
Hichem Sahbi, CNRS Sorbonne University, France
Session:
Interpretation and Understanding
Track:
Image and Video Analysis, Synthesis, and Retrieval
Location:
Gather.Town 2
Presentation Time:
Fri, 7 Oct, 21:00 - 22:00 China Standard Time (UTC +8)
Fri, 7 Oct, 15:00 - 16:00 Central European Time (UTC +2)
Fri, 7 Oct, 13:00 - 14:00 UTC
Fri, 7 Oct, 09:00 - 10:00 Eastern Time (UTC -4)
Fri, 7 Oct, 15:00 - 16:00 Central European Time (UTC +2)
Fri, 7 Oct, 13:00 - 14:00 UTC
Fri, 7 Oct, 09:00 - 10:00 Eastern Time (UTC -4)
Session Co-Chairs:
Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session FP-V1.V2
FP-V1.V2.1: BAG-OF-FEATURES-BASED KNOWLEDGE DISTILLATION FOR LIGHTWEIGHT CONVOLUTIONAL NEURAL NETWORKS
Alexandros Chariton, Nikolaos Passalis, Anastasios Tefas, Aristotle University of Thessaloniki, Greece
FP-V1.V2.2: HISTORIAN: A LARGE-SCALE HISTORICAL FILM DATASET WITH CINEMATOGRAPHIC ANNOTATION
Daniel Helm, Fabian Jogl, Martin Kampel, TU Wien, Austria
FP-V1.V2.3: TOPOLOGICALLY-CONSISTENT MAGNITUDE PRUNING FOR VERY LIGHTWEIGHT GRAPH CONVOLUTIONAL NETWORKS
Hichem Sahbi, CNRS Sorbonne University, France
FP-V1.V2.4: UNSUPERVISED VIDEO SEGMENTATION ALGORITHMS BASED ON FLEXIBLY REGULARIZED MIXTURE MODELS
Claire Launay, Ruben Coen-Cagli, Albert Einstein College of Medicine, United States of America; Jonathan Vacher, ENS, PSL University, France
FP-V1.V2.5: DIFFERENTIAL PSEUDO-IMAGE FOR SKELETON-BASED DYNAMIC GESTURE RECOGNITION
Tomasz Kapuscinski, Mateusz Mis, Rzeszow University of Technology, Poland