44 citations · 63 across the 7 of their papers we have counts for
8 papers
TAPE: Temporal Attention-based Probabilistic human pose and shape Estimation
Nikolaos Vasilikopoulos, Nikos Kolotouros, Aggeliki Tsoli +1
Reconstructing 3D human pose and shape from monocular videos is a well-studied but challenging problem. Common challenges include occlusions, the inherent ambiguities in the 2D to…
Probabilistic Modeling for Human Mesh Recovery
Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman +1
This paper focuses on the problem of 3D human reconstruction from 2D evidence. Although this is an inherently ambiguous problem, the majority of recent works avoid the uncertainty…
Birds of a Feather: Capturing Avian Shape Models from Images
Yufu Wang, Nikos Kolotouros, Kostas Daniilidis +1
Animals are diverse in shape, but building a deformable shape model for a new species is not always possible due to the lack of 3D data. We present a method to capture new species…
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View
Marc Badger, Yufu Wang, Adarsh Modh +5
Automated capture of animal pose is transforming how we study neuroscience and social behavior. Movements carry important social cues, but current methods are not able to robustly…
Coherent Reconstruction of Multiple Humans from a Single Image
Wen Jiang, Nikos Kolotouros, Georgios Pavlakos +2
In this work, we address the problem of multi-person 3D pose estimation from a single image. A typical regression approach in the top-down setting of this problem would first detec…
TexturePose: Supervising Human Mesh Estimation with Texture Consistency
Georgios Pavlakos, Nikos Kolotouros, Kostas Daniilidis
This work addresses the problem of model-based human pose estimation. Recent approaches have made significant progress towards regressing the parameters of parametric human body mo…
Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
Nikos Kolotouros, Georgios Pavlakos, Michael J. Black +1
Model-based human pose estimation is currently approached through two different paradigms. Optimization-based methods fit a parametric body model to 2D observations in an iterative…
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis
This paper addresses the problem of 3D human pose and shape estimation from a single image. Previous approaches consider a parametric model of the human body, SMPL, and attempt to…