Search Results for author: Georgios Georgakis

Found 12 papers, 7 papers with code

Uncertainty-driven Planner for Exploration and Navigation

1 code implementation24 Feb 2022 Georgios Georgakis, Bernadette Bucher, Anton Arapin, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis

We consider the problems of exploration and point-goal navigation in previously unseen environments, where the spatial complexity of indoor scenes and partial observability constitute these tasks challenging.

Object-centric Video Prediction without Annotation

1 code implementation6 May 2021 Karl Schmeckpeper, Georgios Georgakis, Kostas Daniilidis

Object-centric video prediction offers a solution to these problems by taking advantage of the simple prior that the world is made of objects and by providing a more natural interface for control.

Video Prediction

Hierarchical Kinematic Human Mesh Recovery

no code implementations ECCV 2020 Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecka, Ziyan Wu

In this work, we address this gap by proposing a new technique for regression of human parametric model that is explicitly informed by the known hierarchical structure, including joint interdependencies of the model.

Human Mesh Recovery

Simultaneous Mapping and Target Driven Navigation

2 code implementations18 Nov 2019 Georgios Georgakis, Yimeng Li, Jana Kosecka

This work presents a modular architecture for simultaneous mapping and target driven navigation in indoors environments.

Semantic Segmentation

Learning Local RGB-to-CAD Correspondences for Object Pose Estimation

1 code implementation ICCV 2019 Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jana Kosecka

In this paper, we solve this key problem of existing methods requiring expensive 3D pose annotations by proposing a new method that matches RGB images to CAD models for object pose estimation.

Pose Estimation

End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching

no code implementations CVPR 2018 Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst, Jana Kosecka

Finding correspondences between images or 3D scans is at the heart of many computer vision and image retrieval applications and is often enabled by matching local keypoint descriptors.

Image Retrieval Keypoint Detection +1

Synthesizing Training Data for Object Detection in Indoor Scenes

no code implementations25 Feb 2017 Georgios Georgakis, Arsalan Mousavian, Alexander C. Berg, Jana Kosecka

In this work we explore the ability of using synthetically generated composite images for training state-of-the-art object detectors, especially for object instance detection.

Object Detection In Indoor Scenes

Multiview RGB-D Dataset for Object Instance Detection

no code implementations26 Sep 2016 Georgios Georgakis, Md. Alimoor Reza, Arsalan Mousavian, Phi-Hung Le, Jana Kosecka

This paper presents a new multi-view RGB-D dataset of nine kitchen scenes, each containing several objects in realistic cluttered environments including a subset of objects from the BigBird dataset.

Object Detection

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