activity
20212023
most citedT4DT: Tensorizing Time for Learning Temporal 3D Visual Data

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023

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…

cs.RO2023

DDPEN: Trajectory Optimisation With Sub Goal Generation Model

Aleksander Gamayunov, Aleksey Postnikov, Gonzalo Ferrer

Differential dynamic programming (DDP) is a widely used and powerful trajectory optimization technique, however, due to its internal structure, it is not exempt from local minima.…

cs.CV20222 cited

T4DT: Tensorizing Time for Learning Temporal 3D Visual Data

Mikhail Usvyatsov, Rafael Ballester-Rippoll, Lina Bashaeva +3

Unlike 2D raster images, there is no single dominant representation for 3D visual data processing. Different formats like point clouds, meshes, or implicit functions each have thei…

cs.RO2022

Conditioned Human Trajectory Prediction using Iterative Attention Blocks

Aleksey Postnikov, Aleksander Gamayunov, Gonzalo Ferrer

Human motion prediction is key to understand social environments, with direct applications in robotics, surveillance, etc. We present a simple yet effective pedestrian trajectory p…

cs.RO2021

Transformer based trajectory prediction

Aleksey Postnikov, Aleksander Gamayunov, Gonzalo Ferrer

To plan a safe and efficient route, an autonomous vehicle should anticipate future motions of other agents around it. Motion prediction is an extremely challenging task which recen…