Search Results for author: Georgios Pavlakos

Found 20 papers, 13 papers with code

Semantic keypoint-based pose estimation from single RGB frames

no code implementations12 Apr 2022 Karl Schmeckpeper, Philip R. Osteen, Yufu Wang, Georgios Pavlakos, Kenneth Chaney, Wyatt Jordan, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis

Empirically, we show that our approach can accurately recover the 6-DoF object pose for both instance- and class-based scenarios even against a cluttered background.

Pose Estimation

Tracking People by Predicting 3D Appearance, Location & Pose

no code implementations8 Dec 2021 Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik

For a future frame, we compute the similarity between the predicted state of a tracklet and the single frame observations in a probabilistic manner.


Tracking People with 3D Representations

no code implementations NeurIPS 2021 Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik

We find that 3D representations are more effective than 2D representations for tracking in these settings, and we obtain state-of-the-art performance.

Human Mesh Recovery from Multiple Shots

no code implementations17 Dec 2020 Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa

The tools we develop open the door to processing and analyzing in 3D content from a large library of edited media, which could be helpful for many downstream applications.

3D Reconstruction Human Mesh Recovery

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

no code implementations24 Nov 2020 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 information from hand gestures, body features and facial expressions.

3D Action Recognition 3D Reconstruction +3

Coherent Reconstruction of Multiple Humans from a Single Image

1 code implementation CVPR 2020 Wen Jiang, Nikos Kolotouros, Georgios Pavlakos, Xiaowei Zhou, Kostas Daniilidis

Our goal is to train a single network that learns to avoid these problems and generate a coherent 3D reconstruction of all the humans in the scene.

3D Depth Estimation 3D Human Reconstruction +4

Reactive Navigation in Partially Familiar Planar Environments Using Semantic Perceptual Feedback

2 code implementations20 Feb 2020 Vasileios Vasilopoulos, Georgios Pavlakos, Karl Schmeckpeper, Kostas Daniilidis, Daniel E. Koditschek

This paper solves the planar navigation problem by recourse to an online reactive scheme that exploits recent advances in SLAM and visual object recognition to recast prior geometric knowledge in terms of an offline catalogue of familiar objects.


TexturePose: Supervising Human Mesh Estimation with Texture Consistency

1 code implementation ICCV 2019 Georgios Pavlakos, Nikos Kolotouros, Kostas Daniilidis

Assuming that the texture of the person does not change dramatically between frames, we can apply a novel texture consistency loss, which enforces that each point in the texture map has the same texture value across all frames.

Pose Estimation Weakly-supervised 3D Human Pose Estimation

Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop

1 code implementation ICCV 2019 Nikos Kolotouros, Georgios Pavlakos, Michael J. Black, Kostas Daniilidis

Our approach is self-improving by nature, since better network estimates can lead the optimization to better solutions, while more accurate optimization fits provide better supervision for the network.

3D Multi-Person Pose Estimation

Convolutional Mesh Regression for Single-Image Human Shape Reconstruction

1 code implementation CVPR 2019 Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis

Image-based features are attached to the mesh vertices and the Graph-CNN is responsible to process them on the mesh structure, while the regression target for each vertex is its 3D location.

3D human pose and shape estimation Monocular 3D Human Pose Estimation +1

Learning to Estimate 3D Human Pose and Shape from a Single Color Image

no code implementations CVPR 2018 Georgios Pavlakos, Luyang Zhu, Xiaowei Zhou, Kostas Daniilidis

The proposed approach outperforms previous baselines on this task and offers an attractive solution for direct prediction of 3D shape from a single color image.

Human Motion Capture Using a Drone

1 code implementation17 Apr 2018 Xiaowei Zhou, Sikang Liu, Georgios Pavlakos, Vijay Kumar, Kostas Daniilidis

Current motion capture (MoCap) systems generally require markers and multiple calibrated cameras, which can be used only in constrained environments.

6-DoF Object Pose from Semantic Keypoints

1 code implementation14 Mar 2017 Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, Kostas Daniilidis

This paper presents a novel approach to estimating the continuous six degree of freedom (6-DoF) pose (3D translation and rotation) of an object from a single RGB image.

Keypoint Detection Translation

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