25 citations · 51 across the 3 of their papers we have counts for
4 papers
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data
Matteo Ruggero Ronchi, Oisin Mac Aodha, Robert Eng +1
We address the problem of 3D human pose estimation from 2D input images using only weakly supervised training data. Despite showing considerable success for 2D pose estimation, the…
Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation
Matteo Ruggero Ronchi, Pietro Perona
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. We define and…
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses
Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue
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. The m…
Describing Common Human Visual Actions in Images
Matteo Ruggero Ronchi, Pietro Perona
Which common human actions and interactions are recognizable in monocular still images? Which involve objects and/or other people? How many is a person performing at a time? We add…