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Found 4 papers, 3 papers with code
Let It Flow: Simultaneous Optimization of 3D Flow and Object Clustering
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.
Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency
Learning without supervision how to predict 3D scene flows from point clouds is essential to many perception systems.
Teachers in concordance for pseudo-labeling of 3D sequential data
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.
Real3D-Aug: Point Cloud Augmentation by Placing Real Objects with Occlusion Handling for 3D Detection and Segmentation
Object detection and semantic segmentation with the 3D lidar point cloud data require expensive annotation.
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