activity
20162026
most cited6-DoF Object Pose from Semantic Keypoints

34 citations · 161 across the 30 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023★ 3 cited

Reconstructing Hands in 3D with Transformers

Georgios Pavlakos, Dandan Shan, Ilija Radosavovic +3

We present an approach that can reconstruct hands in 3D from monocular input. Our approach for Hand Mesh Recovery, HaMeR, follows a fully transformer-based architecture and can ana…

cs.CV2023★ 1 cited

GART: Gaussian Articulated Template Models

Jiahui Lei, Yufu Wang, Georgios Pavlakos +2

We introduce Gaussian Articulated Template Model GART, an explicit, efficient, and expressive representation for non-rigid articulated subject capturing and rendering from monocula…

cs.CV2023★ 3 cited

Generative Proxemics: A Prior for 3D Social Interaction from Images

Lea Müller, Vickie Ye, Georgios Pavlakos +2

Social interaction is a fundamental aspect of human behavior and communication. The way individuals position themselves in relation to others, also known as proxemics, conveys soci…

cs.CV2023★ 10 cited

Humans in 4D: Reconstructing and Tracking Humans with Transformers

Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran +2

We present an approach to reconstruct humans and track them over time. At the core of our approach, we propose a fully "transformerized" version of a network for human mesh recover…

cs.CV2023

Learning Articulated Shape with Keypoint Pseudo-labels from Web Images

Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han +1

This paper shows that it is possible to learn models for monocular 3D reconstruction of articulated objects (e.g., horses, cows, sheep), using as few as 50-150 images labeled with…

cs.CV2023★ 1 cited

On the Benefits of 3D Pose and Tracking for Human Action Recognition

Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa +2

In this work we study the benefits of using tracking and 3D poses for action recognition. To achieve this, we take the Lagrangian view on analysing actions over a trajectory of hum…

cs.CV2023★ 2 cited

Decoupling Human and Camera Motion from Videos in the Wild

Vickie Ye, Georgios Pavlakos, Jitendra Malik +1

We propose a method to reconstruct global human trajectories from videos in the wild. Our optimization method decouples the camera and human motion, which allows us to place people…