330 citations · 373 across the 33 of their papers we have counts for
3 papers · 1 filter
Memory-efficient particle filter recurrent neural network for object localization
Roman Korkin, Ivan Oseledets, Aleksandr Katrutsa
This study proposes a novel memory-efficient recurrent neural network (RNN) architecture specified to solve the object localization problem. This problem is to recover the object s…
TT-SDF2PC: Registration of Point Cloud and Compressed SDF Directly in the Memory-Efficient Tensor Train Domain
Alexey I. Boyko, Anastasiia Kornilova, Rahim Tariverdizadeh +4
This paper addresses the following research question: ``can one compress a detailed 3D representation and use it directly for point cloud registration?''. Map compression of the sc…
Multiparticle Kalman filter for object localization in symmetric environments
Roman Korkin, Ivan Oseledets, Aleksandr Katrutsa
This study considers the object localization problem and proposes a novel multiparticle Kalman filter to solve it in complex and symmetric environments. Two well-known classes of f…