activity
20172023
most cited6-DoF Object Pose from Semantic Keypoints

34 citations · 73 across the 9 of their papers we have counts for

collaborators

14 papers

cs.CV20228 cited

Semantic keypoint-based pose estimation from single RGB frames

Karl Schmeckpeper, Philip R. Osteen, Yufu Wang +6

This paper presents an approach to estimating the continuous 6-DoF pose of an object from a single RGB image. The approach combines semantic keypoints predicted by a convolutional…

cs.CV2021

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…

cs.CV202011 cited

Human Mesh Recovery from Multiple Shots

Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa

Videos from edited media like movies are a useful, yet under-explored source of information. The rich variety of appearance and interactions between humans depicted over a large te…

cs.CV2020

Independent Sign Language Recognition with 3D Body, Hands, and Face Reconstruction

Agelos Kratimenos, Georgios Pavlakos, Petros Maragos

Independent Sign Language Recognition is a complex visual recognition problem that combines several challenging tasks of Computer Vision due to the necessity to exploit and fuse in…

cs.CV2020

Monocular Expressive Body Regression through Body-Driven Attention

Vasileios Choutas, Georgios Pavlakos, Timo Bolkart +2

To understand how people look, interact, or perform tasks, we need to quickly and accurately capture their 3D body, face, and hands together from an RGB image. Most existing method…

cs.CV20201 cited

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…