cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13228003
title: HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Synthetic data

description: #############

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields, CVPR 2024

#############

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis.

Affiliation: EPFL

Date: June, 2024

Link to the CVPR article: https://openaccess.thecvf.com/content/CVPR2024/papers/Qi_HOISDF_Constraining_3D_Hand-Object_Pose_Estimation_with_Global_Signed_Distance_CVPR_2024_paper.pdf

Link to the Arxiv article: https://arxiv.org/abs/2402.17062

--------------------------------



Here we provide the data of our article "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields". It contains the preprocessed SDF samples. Meanwhile, we also include rendered data for HO3Dv2 here. 


The overall structure of the data is:


├── render_sdf_ho3d.zip                              - Contains the processed SDF files for HO3Dv2 rendered images.

├── train_ho3d.zip                                       - Contains the processed SDF files for HO3Dv2 training set.

├── full_test_dexycb.zip                               - Contains the processed SDF files for DexYCB full test set.

 


The code to reproduce the results is available at: https://github.com/amathislab/HOISDF

 

--------------------------------


If you find our code, weights, predictions or ideas useful, please cite:

@inproceedings{qi2024hoisdf,  title={HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields},  author={Qi, Haozhe and Zhao, Chen and Salzmann, Mathieu and Mathis, Alexander},  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},  pages={10392--10402},  year={2024}}
DOI: 10.5281/zenodo.15076323
title: Synthetic data (Part 1) for "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields"

description: #############

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields, CVPR 2024

#############

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis.

Affiliation: EPFL

Date: June, 2024

Link to the CVPR article: https://openaccess.thecvf.com/content/CVPR2024/papers/Qi_HOISDF_Constraining_3D_Hand-Object_Pose_Estimation_with_Global_Signed_Distance_CVPR_2024_paper.pdf

Link to the Arxiv article: https://arxiv.org/abs/2402.17062

--------------------------------



Here we provide the data of our article "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields". It contains the preprocessed SDF samples. Meanwhile, we also include rendered data for HO3Dv2 here. 


The overall structure of the data is:


├── render_sdf_ho3d.zip                              - Contains the processed SDF files for HO3Dv2 rendered images.

├── train_ho3d.zip                                       - Contains the processed SDF files for HO3Dv2 training set.

├── full_test_dexycb.zip                               - Contains the processed SDF files for DexYCB full test set.

 


The code to reproduce the results is available at: https://github.com/amathislab/HOISDF

 

--------------------------------


If you find our code, weights, predictions or ideas useful, please cite:

@inproceedings{qi2024hoisdf,  title={HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields},  author={Qi, Haozhe and Zhao, Chen and Salzmann, Mathieu and Mathis, Alexander},  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},  pages={10392--10402},  year={2024}}
DOI: 10.15468/dl.wdztgs
title: Occurrence Download

description: A dataset containing 47131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "GadmGid is ECU.4_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 47131 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024999-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9xchd
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia dolichostachya S.F.Blake)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 366 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025001-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxzbew
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Argyresthia reticulata Staudinger, 1877"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025002-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28540745
title: 123

description: <b>1</b>2345
DOI: 10.15468/dl.3ycfv5
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opilioacarida"
 ]
}

 The dataset includes 659 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025003-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmca59
title: Occurrence Download

description: A dataset containing 1702 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen)",
 "TaxonKey is Puma yagouaroundi (É.Geoffroy Saint-Hilaire, 1803)",
 "Year 1970-2025"
 ]
}

 The dataset includes 1702 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025004-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28652192
title: S1.docx

description: E-bike Physiological evaluation. results of E-bikes ride
DOI: 10.15468/dl.6w27g3
title: Occurrence Download

description: A dataset containing 1876 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is AUS.9_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Tachyglossus aculeatus setosus (É.Geoffroy Saint-Hilaire, 1803)"
 ]
}

 The dataset includes 1876 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025005-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cb97q5
title: Occurrence Download

description: A dataset containing 4604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia farnesiana (L.) Willd., Acacia farnesiana Wall.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4604 records from 286 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025006-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/5afmtp
title: Dados relativos ao mapeamento de alegações em 110 produtos dermocosméticos vendidos no Brasil e entrevistas com 118 dermatologistas

description: Informações provenientes do mapeamento de alegações presentes em 110 produtos dermocosméticos comercializados no Brasil, complementadas por entrevistas com 118 dermatologistas, com o objetivo de avaliar a compreensão dessas alegações por parte dos profissionais.
DOI: 10.15468/dl.up76pr
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opilioacarida"
 ]
}

 The dataset includes 659 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025009-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/cjsu-g9kr
title: Measurement of Heavy metals and inorganics in air and particle phase at Montseny

description: Measurement of Heavy metals and inorganics in air and particle phase at Montseny
DOI: 10.48597/v2es-2pet
title: Measurement of Heavy metals and inorganics in air and particle phase at Montseny

description: Measurement of Heavy metals and inorganics in air and particle phase at Montseny
DOI: 10.48597/xdkw-5tq9
title: Measurement of Heavy metals and inorganics in air and particle phase at Montseny

description: Measurement of Heavy metals and inorganics in air and particle phase at Montseny
DOI: 10.5281/zenodo.11668765
title: Processed data and trained models for "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields"

description: #############

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields, CVPR 2024

#############

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis.

Affiliation: EPFL

Date: June, 2024

Link to the CVPR article: https://openaccess.thecvf.com/content/CVPR2024/papers/Qi_HOISDF_Constraining_3D_Hand-Object_Pose_Estimation_with_Global_Signed_Distance_CVPR_2024_paper.pdf

Link to the Arxiv article: https://arxiv.org/abs/2402.17062

--------------------------------



Here we provide the data of our article "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields". It contains the preprocessed data of the interacting objects and SDF samples. Meanwhile, we also include the trained model weights here.


The overall structure of the data is:


├── ckpts.zip                                - Contains the trained weights model on different datasets (DexYCB and HO3Dv2)

├── annotations.zip                     - Contains the preprocessed annotations of DexYCB and HO3Dv2 for efficient data loading.

├── simple_ycb_models.zip         - Contains the preprocessed YCB objects for batched evaluation.

├── test.zip                                  - Contains the processed SDF files for DexYCB test set.

├── ho3d_release.zip                   - Contains the HO3Dv2 submission trained with HO3D training set.

├── ho3d_render_release.zip       - Contains the HO3Dv2 submission trained with HO3D training set and rendering set.

 


The code to reproduce the results is available at: https://github.com/amathislab/HOISDF

 

--------------------------------


If you find our code, weights, predictions or ideas useful, please cite:

@inproceedings{qi2024hoisdf,  title={HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields},  author={Qi, Haozhe and Zhao, Chen and Salzmann, Mathieu and Mathis, Alexander},  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},  pages={10392--10402},  year={2024}}
DOI: 10.5281/zenodo.11668766
title: HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Processed data and trained models

description: #############

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields, CVPR 2024

#############

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis.

Affiliation: EPFL

Date: June, 2024

Link to the CVPR article: https://openaccess.thecvf.com/content/CVPR2024/papers/Qi_HOISDF_Constraining_3D_Hand-Object_Pose_Estimation_with_Global_Signed_Distance_CVPR_2024_paper.pdf

Link to the Arxiv article: https://arxiv.org/abs/2402.17062

--------------------------------



Here we provide the data of our article "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields". It contains the preprocessed data of the interacting objects and SDF samples. Meanwhile, we also include the trained model weights here.


The overall structure of the data is:


├── ckpts.zip                                - Contains the trained weights model on different datasets (DexYCB and HO3Dv2)

├── annotations.zip                     - Contains the preprocessed annotations of DexYCB and HO3Dv2 for efficient data loading.

├── simple_ycb_models.zip         - Contains the preprocessed YCB objects for batched evaluation.

├── test.zip                                  - Contains the processed SDF files for DexYCB test set.

 


The code to reproduce the results is available at: https://github.com/amathislab/HOISDF

 

--------------------------------


If you find our code, weights, predictions or ideas useful, please cite:

@inproceedings{qi2024hoisdf,  title={HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields},  author={Qi, Haozhe and Zhao, Chen and Salzmann, Mathieu and Mathis, Alexander},  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},  pages={10392--10402},  year={2024}}
DOI: 10.5281/zenodo.14190951
title: HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Processed data and trained models

description: #############

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields, CVPR 2024

#############

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis.

Affiliation: EPFL

Date: June, 2024

Link to the CVPR article: https://openaccess.thecvf.com/content/CVPR2024/papers/Qi_HOISDF_Constraining_3D_Hand-Object_Pose_Estimation_with_Global_Signed_Distance_CVPR_2024_paper.pdf

Link to the Arxiv article: https://arxiv.org/abs/2402.17062

--------------------------------



Here we provide the data of our article "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields". It contains the preprocessed data of the interacting objects and SDF samples. Meanwhile, we also include the trained model weights here.


The overall structure of the data is:


├── ckpts.zip                                - Contains the trained weights model on different datasets (DexYCB and HO3Dv2)

├── annotations.zip                     - Contains the preprocessed annotations of DexYCB and HO3Dv2 for efficient data loading.

├── simple_ycb_models.zip         - Contains the preprocessed YCB objects for batched evaluation.

├── test.zip                                  - Contains the processed SDF files for DexYCB test set.

├── ho3d_release.zip                   - Contains the HO3Dv2 submission trained with HO3D training set.

├── ho3d_render_release.zip       - Contains the HO3Dv2 submission trained with HO3D training set and rendering set.

 


The code to reproduce the results is available at: https://github.com/amathislab/HOISDF

 

--------------------------------


If you find our code, weights, predictions or ideas useful, please cite:

@inproceedings{qi2024hoisdf,  title={HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields},  author={Qi, Haozhe and Zhao, Chen and Salzmann, Mathieu and Mathis, Alexander},  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},  pages={10392--10402},  year={2024}}
DOI: 10.5281/zenodo.15076380
title: Processed data and trained models for "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields"

description: #############

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields, CVPR 2024

#############

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis.

Affiliation: EPFL

Date: June, 2024

Link to the CVPR article: https://openaccess.thecvf.com/content/CVPR2024/papers/Qi_HOISDF_Constraining_3D_Hand-Object_Pose_Estimation_with_Global_Signed_Distance_CVPR_2024_paper.pdf

Link to the Arxiv article: https://arxiv.org/abs/2402.17062

--------------------------------



Here we provide the data of our article "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields". It contains the preprocessed data of the interacting objects and SDF samples. Meanwhile, we also include the trained model weights here.


The overall structure of the data is:


├── ckpts.zip                                - Contains the trained weights model on different datasets (DexYCB and HO3Dv2)

├── annotations.zip                     - Contains the preprocessed annotations of DexYCB and HO3Dv2 for efficient data loading.

├── simple_ycb_models.zip         - Contains the preprocessed YCB objects for batched evaluation.

├── test.zip                                  - Contains the processed SDF files for DexYCB test set.

├── ho3d_release.zip                   - Contains the HO3Dv2 submission trained with HO3D training set.

├── ho3d_render_release.zip       - Contains the HO3Dv2 submission trained with HO3D training set and rendering set.

 


The code to reproduce the results is available at: https://github.com/amathislab/HOISDF

 

--------------------------------


If you find our code, weights, predictions or ideas useful, please cite:

@inproceedings{qi2024hoisdf,  title={HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields},  author={Qi, Haozhe and Zhao, Chen and Salzmann, Mathieu and Mathis, Alexander},  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},  pages={10392--10402},  year={2024}}
DOI: 10.15468/dl.78qh5g
title: Occurrence Download

description: A dataset containing 16011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-112.38411 33.20572,-111.69377 33.18432,-111.69377 33.89115,-112.3628 33.88407,-112.38411 33.20572))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 16011 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025010-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24341/tethys.238
title: Hydrothermale Reservoirs für geothermische Anwendungen in Österreich
title: Hydrothermal reservoirs for geothermal applications in Austria
title: Überblick über jene Gebiete, die sich laut aktuellem Stand des Wissens generell für die Installation geothermischer Anlagen eignen
title: Overview of areas which are generally suitable for the installation of geothermal systems, according to the current state of knowledge

description: Mit der Darstellung von hydrothermalen Reservoirs in Österreich soll ein Überblick über jene Gebiete gegeben werden, die sich laut aktuellem Stand des Wissens generell für die Installation geothermischer Anlagen eignen (Hydrothermale Reservoirs), jene geologische Formationen die sich aufgrund dem Hinweis auf ein nicht ausreichend produktives oder zu kaltes Reservoir vermutlich nur lokal eignen (potenzielle Vorkommen) und Gebiete, die sich aufgrund zu geringer Datenlage oder dem Hinweis auf ein nicht ausreichend durchlässiges oder zu kaltes Reservoir nur bedingt für die geothermische Nutzung eignen (einzelne Vorkommen möglich).
description: The presentation of hydrothermal reservoirs in Austria is intended to provide an overview of those areas which, according to the current state of knowledge, are generally suitable for the installation of geothermal plants (in the dataset labeled as "Hydrothermale Reservoirs"), those geological formations which are probably only suitable locally due to the indication of an insufficiently productive or too cold reservoir (in the dataset labeled as "potenzielle Vorkommen") and areas which are only conditionally suitable for geothermal use due to insufficient data or the indication of an insufficiently permeable or too cold reservoir (in the dataset labeled as "einzelne Vorkommen möglich").
DOI: 10.15468/dl.meg342
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opilioacarida"
 ]
}

 The dataset includes 659 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025011-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14687895
title: Archaeological Sites mentioned in the book "Kings of Cities and Rulers of the Steppes: Representations of Kingship in Pre-Islamic Central Asia" by Michael Shenkar
DOI: 10.5281/zenodo.14687896
title: Archaeological Sites mentioned in the book "Kings of Cities and Rulers of the Steppes: Representations of Kingship in Pre-Islamic Central Asia" by Michael Shenkar
DOI: 10.15468/dl.b3e4gt
title: Occurrence Download

description: A dataset containing 13192 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xenophoridae"
 ]
}

 The dataset includes 13192 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025008-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.785wu7
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opilioacarida"
 ]
}

 The dataset includes 659 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025013-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr24v3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia fasciculata (Willd.) Poir., Acacia fasciculata Guill. & Perr., Acacia fasciculata Kunth, Acacia fasciculata R.Br., Acacia fasciculata R.Br. ex Salt)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025015-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hc4bm5
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Flourensia thurifera (Molina) DC."
 ]
}

 The dataset includes 378 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025016-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18434/mds2-2820
title: PSCR Usability Project_Voices of First Responders