Search results You are only searching within this website. To find search results for other University of Bonn websites, such as those of the faculties or institutes, please use a search engine. 1605 items matching your search terms. Filter the results Item type Select All/None Collection EasyForm Event File Folder Fontfamily Icon Image label_TileCollectionContainer Language Independent Folder Language Root Folder Link Medien-Ordner News Page Person Business Card Person Business Card Reference Person Register Study database metainformation Subsite Template-Folder Tiles-Seite VideourlCT New items since Yesterday Last week Last month Ever Sort by relevance date (newest first) alphabetically Compressing Dense Point Clouds using Deep Learning Located in Institut / … / Pressearchiv / 2022 High-resolution colored 3D point cloud of an office environment. Located in Institut / … / 2022 / Compressing Dense Point Clouds using Deep Learning A tree that recursively breaks down the local 3D space in 8 blocks sits at the heart of OctoMap Located in Institut / … / 2022 / Compressing Dense Point Clouds using Deep Learning Compressing a 40 GB point cloud into a 200 MB representation using learned compression. Located in Institut / … / 2022 / Compressing Dense Point Clouds using Deep Learning The compression and decompression architecture to achieve that. Located in Institut / … / 2022 / Compressing Dense Point Clouds using Deep Learning Different types of lossy compression/decompression techniques are available, but the proposed one works best; top: input data; bottom: decompressed data. Located in Institut / … / 2022 / Compressing Dense Point Clouds using Deep Learning Die Kirschblüten-Kacheln Located in Institut / … / Pressearchiv / 2022 Analyse von Kirschblüten-Fotos Die rot markierten Quadrate zeigen an, wo Kirschblüten fotografiert wurden. Je dunkler das Quadrat, desto mehr Fotos von Kirschblüten wurden gemacht (hellrot: ... Located in Institut / … / 2022 / Die Kirschblüten-Kacheln What Does the Future Look Like? Self-supervised 3D Point Cloud Prediction Located in Institut / … / Pressearchiv / 2022 Given a sequence of past point clouds [red] at a time T, the goal is to predict the F future scans [blue]. Located in Institut / … / 2022 / What Does the Future Look Like? Self-supervised 3D Point Cloud Prediction < Previous 10 items 1 ... 72 73 74 75 76 77 78 ... 161 Next 10 items > UniID Please fill out this field using the example format provided in the placeholder. The phone number will be handled in accordance with GDPR.