Search Results for author:
Found 6 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.
Onedata4Sci: Life science data management solution based on Onedata
The solutions mainly fall into one of the two groups: general data management systems (e. g. Onedata, iRODS, B2SHARE, CERNBox) or very specialised data management solutions (e. g. solutions for biomolecular simulation data, biological imaging data, genomic data).
T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds
Deep perception models have to reliably cope with an open-world setting of domain shifts induced by different geographic regions, sensor properties, mounting positions, and several other reasons.
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.
Controlling Robot Morphology from Incomplete Measurements
Mobile robots with complex morphology are essential for traversing rough terrains in Urban Search & Rescue missions (USAR).
