HBW Dataset Papers With Code
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Human Bodies in the Wild (HBW) is a validation and test set for body shape estimation. It consists of images taken in the wild and ground truth 3D body scans in SMPL-X topology. To create HBW, we collect body scans of 35 participants and register the SMPL-X model to the scans. Further each participant is photographed in various outfits and poses in front of a white background and uploads full-body photos of themselves taken in the wild. The validation and test set images are released. The ground truth shape is only released for the validation set.
arxiv-sanity
Samples of high capacity barcodes: (a) Data Matrix, (b) QR code, (c)
Association between passively collected walking and bicycling data and purposefully collected active commuting survey data—United States, 2019 - ScienceDirect
Accurate 3D Body Shape Regression using Metric and Semantic Attributes
Large-bodied birds are over-represented in unstructured citizen science data
kallisto_paper_analysis/simulations/analysis/R/NA12716_7_rsem.html at nbt · pachterlab/kallisto_paper_analysis · GitHub
MVPAlab: A machine learning decoding toolbox for multidimensional electroencephalography data - ScienceDirect
Scaling Bayesian inference of mixed multinomial logit models to large datasets - ScienceDirect
Batch-produced, GIS-informed range maps for birds based on provenanced, crowd-sourced data inform conservation assessments
A simple dynamic model explains the diversity of island birds worldwide
A global database of bird nest traits
STDW Dataset Papers With Code
UBody Benchmark (3D Human Pose Estimation)
What is the DM code (Data Matrix)? GS1/HIBC /UDI/GTIN/ECC? Find it out in one article!
