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11 to 20 of 299 Results
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "DSAC++ Visual Camera Re-Localization [Data]", https://doi.org/10.11588/data/EGCMUU, heiDATA, V1
Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the Cambridge Landmarks dataset. We also provide pre-trained models of our method for the MSR 7Scenes dataset and the Cambridge Landmarks dataset. For mo...
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "6D Object Pose Estimation using 3D Object Coordinates [Data]", https://doi.org/10.11588/data/V4MUMX, heiDATA, V1
Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth poses and segmentation as well as 3D models. Additionally, a collection of RGB-D images showing office ba...
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]", https://doi.org/10.11588/data/PCGYET, heiDATA, V1
Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate NG-RANSAC. For more information, also see the code documentation: https://github.com/vislearn/ngransac
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]", https://doi.org/10.11588/data/GSJE9D, heiDATA, V1
Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also provide pre-trained models of our method for the 7Scenes, 12Scenes, Dubrovnik and Aachen (day) dataset...
Aug 27, 2020 - Leuschner Lab
Florian Leuschner, 2020, "(MI)MI Model", https://doi.org/10.11588/data/Y6Y7P0, heiDATA, V1, UNF:6:+YH2Zdq/RGjq2VJMW9SMQQ== [fileUNF]
Source data for 'A minimal-invasive approach for standardized induction of myocardial infarction in mice'.
Leuschner Lab(Heidelberg University Hospital )
Aug 27, 2020
Supplemental information on published data. Homepage
Aug 27, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "DSAC* Visual Re-Localization [Data]", https://doi.org/10.11588/data/N07HKC, heiDATA, V1
Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes dataset, as well as precomputed camera coordinate files for both aforementioned datasets. For more inf...
IWR Visual Learning Lab(Heidelberg University)
Aug 27, 2020
This Dataverse contains visual learning related research data of the Interdisciplinary Center for Scientific Computing at Heidelberg University. Website Visual Learning Lab Heidelberg
Aug 20, 2020 - Biogeochemistry
Klintzsch, Thomas; Keppler, Frank, 2020, "Effects of temperature and light on methane production of widespread marine Phytoplankton [Dataset]", https://doi.org/10.11588/data/AGKWSG, heiDATA, V1, UNF:6:4gqE/aagNenh7Fz17ii/eg== [fileUNF]
In the present study we investigated the effects of temperature and light intensity (including daylength) on CH4 formation from three widespread marine algal species Emiliania huxleyi, Phaeocystis globosa and Chrysochromulina sp.. Rates of E. huxleyi increased by 210 % when tempe...
Aug 20, 2020 - Psychological Research Methods
Alica Mertens; Mischa von Krause; Alexandra Denk; Theresia Heitz, 2020, "Gender differences in meat-eating behavior and environmental attitudes – The mediating role of the Dark Triad", https://doi.org/10.11588/data/KPY585, heiDATA, V1, UNF:6:m/fJhuHUlo37Y+XZGy2i2w== [fileUNF]
Recently, Machiavellianism was identified as potential mediator explaining gender differences in meat-eating justification strategies, which in turn predicted actual meat consumption. The current study aimed to – on the one hand – replicate this empirical finding and to – on the...
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