WP-P.PZ4.4

UNSUPERVISED AND ADAPTIVE PERIMETER INTRUSION DETECTOR

Devashish Lohani, Carlos Crispim-Junior, Laure Tougne Rodet, LIRIS, Université Lyon 2, France; Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, FOXSTREAM, France
Session:
Machine learning for image & video analysis, synthesis, and retrieval
Poster
Track:
Applications of Machine Learning
Location:
Poster Zone 4
Presentation Time:
Wed, 19 Oct, 22:00 - 00:30 China Standard Time (UTC +8)
Wed, 19 Oct, 16:00 - 18:30 Central European Time (UTC +2)
Wed, 19 Oct, 14:00 - 16:30 UTC
Wed, 19 Oct, 10:00 - 12:30 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 WP-P.PZ4
WP-P.PZ4.1: DEEP ENSEMBLE LEARNING MODEL BASED ON COVARIANCE POOLING OF MULTI-LAYER CNN FEATURES
Sara Akodad, Centre National d'Etudes Spatiales (CNES), France; Lionel Bombrun, Maria Puscasu, Christian Germain, Yannick Berthoumieu, IMS Bordeaux, France; Junshi Xia, RIKEN Center for Advanced Intelligence Project (AIP), Japan
WP-P.PZ4.2: CONVEX QUADRATIC PROGRAMMING FOR SLIMMING CONVOLUTIONAL NETWORKS
Julien Mille, INSA Centre Val de Loire, France
WP-P.PZ4.3: BATCH SIZE RECONSTRUCTION-DISTRIBUTION TRADE-OFF IN KERNEL BASED GENERATIVE AUTOENCODERS
Szymon Knop, Przemyslaw Spurek, Marcin Mazur, Jacek Tabor, Igor Podolak, Jagiellonian University, Poland
WP-P.PZ4.4: UNSUPERVISED AND ADAPTIVE PERIMETER INTRUSION DETECTOR
Devashish Lohani, Carlos Crispim-Junior, Laure Tougne Rodet, LIRIS, Université Lyon 2, France; Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, FOXSTREAM, France
WP-P.PZ4.5: IMPROVING DEEP METRIC LEARNING WITH VIRTUAL CLASSES AND EXAMPLES MINING
Pierre Jacob, Aymeric Histace, ETIS UMR 8051, CY Cergy-Paris University, ENSEA, CNRS, F-95000, Cergy, France, France; David Picard, LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, Marne-la-Vallée, France, France
WP-P.PZ4.6: Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification
Félix Remigereau, Djebril Mekhazni, Sajjad Abdoli, Le Thanh Nguyen-Meidine, Rafael M. O. Cruz, Eric Granger, École de Technologie Supérieure, Canada
WP-P.PZ4.7: WIDTH-WISE PARAMETER SHARING FOR MULTI-DOMAIN GAN LEARNING
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie, Normandie Université, UNICAEN, ENSICAEN, CNRS, GREYC, France
WP-P.PZ4.8: EFFICIENT AND ACCURATE SKELETON-BASED TWO-PERSON INTERACTION RECOGNITION USING INTER- AND INTRA-BODY GRAPHS
Yoshiki Ito, Quan Kong, Kenichi Morita, Tomoaki Yoshinaga, Hitachi, Ltd., Japan