164-chore-contact-human-and-object-reconstruction-from-a-single-rgb-image
Science Score: 18.0%
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.8%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2023
- Language: Python
- Default Branch: main
- Size: 22.9 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Citation
https://github.com/SZU-AdvTech-2023/164-CHORE-Contact-Human-and-Object-REconstruction-from-a-single-RGB-image/blob/main/
# chore with pastanet BEHAVE: DATASET AND METHOD FOR TRACKING HUMAN OBJECT INTERACTIONSPaStaNet: Toward Human Activity Knowledge EngineRGB- [CHORE](https://github.com/xiexh20/CHORE)[Activity2Vec](https://github.com/DirtyHarryLYL/HAKE-Action-Torch/tree/Activity2Vec) ## CHORE 1. CHOREREADME.md 2. [chore-pretrained.zip](https://nextcloud.mpi-klsb.mpg.de/index.php/s/SatwEeqFnQdBGaF/download) CHORE/experiments 3. [object.zip](https://datasets.d2.mpi-inf.mpg.de/cvpr22behave/objects.zip) CHORE/sequences/BEHAVE 4. [mano_v1_2.zip](https://psfiles.is.tuebingen.mpg.de/downloads/mano/mano_v1_2-zip)CHORE/sequences/SMPL-H 5. [BAHAVE dataset](https://virtualhumans.mpi-inf.mpg.de/behave/) behave_test_imagesCHORE/sequences/behave_test_images ## PaStaNet 1. Activity2VecREADME.md 2. Activity2Vec/MODEL.md ## 1. PaStaNet 1. Activity2Vec/toolsrun_a2v.shbehave 2. Behavek1.pasta.jsonPaStaNet 2. CHORE 1. PaStaNetCHORE/PATHS.yml 2. run_chore2.sh
Owner
- Name: SZU-AdvTech-2023
- Login: SZU-AdvTech-2023
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2023
Citation (citation.txt)
@inproceedings{REPO164,
author = "Xie, Xianghui and Bhatnagar, Bharat Lal and Pons-Moll, Gerard",
booktitle = "European Conference on Computer Vision ({ECCV})",
title = "{CHORE: Contact, Human and Object REconstruction from a single RGB image}",
year = "2022"
}