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It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data
We address the problem of 3D human pose estimation from 2D input images using only weakly supervised training data.
Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation
We propose a new method to analyze the impact of errors in algorithms for multi-instance pose estimation and a principled benchmark that can be used to compare them.
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses
We tackle the problem of learning a rotation invariant latent factor model when the training data is comprised of lower-dimensional projections of the original feature space.
Describing Common Human Visual Actions in Images
We address these questions by exploring the actions and interactions that are detectable in the images of the MS COCO dataset.
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