no code implementations • 12 Apr 2024 • Patrik Vacek, David Hurych, Tomáš Svoboda, Karel Zimmermann
We identified the structural constraints and the use of large and strict rigid clusters as the main pitfall of the current approaches and we propose a novel clustering approach that allows for combination of overlapping soft clusters as well as non-overlapping rigid clusters representation.
1 code implementation • 12 Dec 2023 • Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Perez, Tomas Svoboda
Learning without supervision how to predict 3D scene flows from point clouds is essential to many perception systems.
1 code implementation • 13 Jul 2022 • Awet Haileslassie Gebrehiwot, Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Perez, Tomáš Svoboda
We propose to leverage sequences of point clouds to boost the pseudolabeling technique in a teacher-student setup via training multiple teachers, each with access to different temporal information.
1 code implementation • 15 Jun 2022 • Petr Šebek, Šimon Pokorný, Patrik Vacek, Tomáš Svoboda
Object detection and semantic segmentation with the 3D lidar point cloud data require expensive annotation.