no code implementations • 26 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.
no code implementations • 25 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.
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.
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.
no code implementations • 18 Nov 2019 • Ren Li, Changjiang Cai, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Ziyan Wu
We consider the problem of human pose estimation.
2 code implementations • 18 Nov 2019 • Georgios Georgakis, Yimeng Li, Jana Kosecka
This work presents a modular architecture for simultaneous mapping and target driven navigation in indoors environments.
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.
1 code implementation • 6 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.
2 code implementations • ICLR 2022 • Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis
We consider the problem of object goal navigation in unseen environments.
2 code implementations • 27 Sep 2021 • Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Kostas Daniilidis, Chelsea Finn, Sergey Levine
Robot learning holds the promise of learning policies that generalize broadly.
1 code implementation • 24 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.
1 code implementation • CVPR 2022 • Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis
We consider the problem of Vision-and-Language Navigation (VLN).
no code implementations • 13 Sep 2023 • Yunfan Li, Himanshu Gupta, Haibin Ling, IV Ramakrishnan, Prateek Prasanna, Georgios Georgakis, Aaron Sasson
Compared with classical open cholecystectomy, laparoscopic cholecystectomy (LC) is associated with significantly shorter recovery period, and hence is the preferred method.
1 code implementation • 23 Jan 2024 • Ramchander Bhaskara, Georgios Georgakis, Jeremy Nash, Marissa Cameron, Joseph Bowkett, Adnan Ansar, Manoranjan Majji, Paul Backes
The surface reflectance properties of icy moon terrains (Enceladus and Europa) are inferred from multispectral datasets of previous missions.
no code implementations • 30 Jan 2024 • Chanyoung Chung, Georgios Georgakis, Patrick Spieler, Curtis Padgett, Ali Agha, Shehryar Khattak
We experimentally validate the applicability of our proposed approach for autonomous offroad robotic navigation in complex and unstructured terrain using real-world offroad driving data.