Georgios Georgakis

I am a Robotics Technologist at the NASA-Jet Propulsion Laboratory working in the Aerial and Orbital Image Analysis group. My research interests lie at the intersection of computer vision and machine learning that have applications in robotics. Prior to joining JPL, I was a Postdoctoral Researcher in the GRASP Lab at the University of Pennsylvania advised by Kostas Daniilidis. During my PostDoc I worked on vision-based semantic navigation in novel environments for the tasks of exploration, object-goal navigation, and vision and language navigation (VLN).

I received my Ph.D from the Department of Computer Science at George Mason University. My advisor was Jana Kosecka. During my Ph.D I worked on multiple problems such as object detection and recognition in RGB-D data, keypoint and descriptor learning, and 3D object pose estimation. I spent two wonderful summers at Siemens CT as an intern in the computer vision research group. In the summer of 2019 I did an internship in the computer vision and robotics group at UII America where I worked on human mesh recovery.

Prior to joining George Mason University I completed my Diploma in Computer Engineering from the Technical University of Crete in Greece. I worked with Dr. Michail G. Lagoudakis on landmark recognition and localization for the RobotStadium online robotic soccer competition.

CV | Scholar | LinkedIn | Github

Contact Information

198-120, 4800 Oak Grove Dr, Pasadena, CA 91109
georgios DOT georgakis AT jpl DOT nasa DOT gov

Teaching

ESE 650 Learning in Robotics (Spring 2022)
Syllabus | Website | Notes: Spring 2021 from Pratik Chaudhari

Papers

		Pixel to Elevation: Learning to Predict Elevation Maps at Long Range using Images for Autonomous Offroad Navigation Chanyoung Chung, Georgios Georgakis, Patrick Spieler, Curtis Padgett, Shehryar Khattak arXiv:2401.17484 [pdf]

		Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling Autonomy Ramchander Bhaskara, Georgios Georgakis, Jeremy Nash, Marissa Cameron, Joseph Bowkett, Adnan Ansar, Manoranjan Majji, Paul Backes IEEE Aerospace Conference (AeroConf), 2024 [pdf \| code]

		Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets Frederick Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Kostas Daniilidis, Chelsea Finn, Sergey Levine Robotics: Science and Systems (RSS), 2022 * equal contribution [pdf]

		Cross-modal Map Learning for Vision and Language Navigation Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [pdf \| project page \| code]

		Learning to Map for Active Semantic Goal Navigation Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis International Conference on Learning Representations (ICLR), 2022 * equal contribution [pdf \| project page \| code \| video]

		Uncertainty-driven Planner for Exploration and Navigation Georgios Georgakis, Bernadette Bucher, Anton Arapin, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis IEEE Conference on Robotics and Automation (ICRA), 2022 [pdf \| project page \| code \| video \| slides]

		Object-centric Video Prediction without Annotation Karl Schmeckpeper, Georgios Georgakis, Kostas Daniilidis IEEE Conference on Robotics and Automation (ICRA*), 2021 equal contribution [pdf \| code \| video]

		Hierarchical Kinematic Human Mesh Recovery Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecka, and Ziyan Wu European Conference on Computer Vision (ECCV), 2020 * equal contribution [pdf \| supplementary \| long slides \| short slides \| long video \| short video]

		Robust Multi-modal 3D Patient Body Modeling Fan Yang, Ren Li, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Haibin Ling, Ziyan Wu Medical Image Computing and Computer Assisted Interventions (MICCAI), 2020 [pdf]

		Simultaneous Mapping and Target Driven Navigation Georgios Georgakis, Yimeng Li, and Jana Kosecka arXiv:1911.07980 [pdf \| code]

		Towards Robust RGB-D Human Mesh Recovery Ren Li, Changjiang Cai, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Ziyan Wu arXiv:1911.07383 [pdf]

		Learning Local RGB-to-CAD Correspondences for Object Pose Estimation Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, and Jana Kosecka IEEE International Conference on Computer Vision (ICCV), 2019 [pdf \| slides \| poster]

		End-to-end Learning for Keypoint Detection and Descriptor for Pose Invariant 3D Matching Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst, and Jana Kosecka IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [pdf \| supplementary \| poster]

		Label Propagation in RGB-D Video Md Alimoor Reza, Hui Zheng, Georgios Georgakis, and Jana Kosecka IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017 [pdf]

		Synthesizing Training Data for Object Detection in Indoor Scenes Georgios Georgakis, Arsalan Mousavian, Alexander C. Berg, and Jana Kosecka Robotics: Science and Systems (RSS), 2017 [pdf \| poster \| slides \| video \| project page]

		A Contact Exploitative Approach to the Amazon Robotics Challenge Eadom Dessalene, Georgios Georgakis, Md Alimoor Reza, Yimeng Li, Yossi Ovcharik, Amir Shapiro, Jana Kosecka, and Daniel Lofaro Warehouse Picking Automation Workshop (ICRA), 2017 [pdf]

		Multiview RGB-D Dataset for Object Instance Detection Georgios Georgakis, Md Alimoor Reza, Arsalan Mousavian, Le Phi-Hung, and Jana Kosecka International Conference on 3D Vision (3DV), 2016 [pdf \| poster \| project page]

		RGB-D Multiview Object Detection with Object Proposals and Shape Context Georgios Georgakis, Md Alimoor Reza, and Jana Kosecka IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 [pdf \| poster \| short slides \| code]

Patents Pending

Systems and Methods for Human Pose and Mesh Recovery
Ziyan Wu, Srikrishna Karanam, Changjiang Cai, Georgios Georgakis
US16/995,446, filed August 2020
Application no. US20210158028A1

Systems and Methods for Human Mesh Recovery
Srikrishna Karanam, Ziyan Wu, Georgios Georgakis
US16/863,382, filed April 2020
Application no. US20210158107A1

Learning Keypoints and Matching RGB Images to CAD Models
Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst
PCT/US2019/053827, filed September 2019
Application no. WO2020086217

Matching RGB Images to CAD Models
Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst
PCT/US2019/040913, filed July 2019
Application no. WO2020014170A1

Spare Part Identification Using a Locally Learned 3D Landmark Database
Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst
PCT/US2018/049100, filed September 2018
Application no. WO2019094094A1

Learning View-invariant Local Patch Representations for Pose Estimation
Georgios Georgakis, Srikrishna Karanam, Varun Manjunatha, Kuan-Chuang Peng, Ziyan Wu, Jan Ernst
PCT/US2018/013271, filed January 2018
Application no. WO2019139587A1

Training a Convolutional Neural Network using Task-irrelevant Data
Varun Manjunatha, Georgios Georgakis, Kuan-Chuang Peng, Ziyan Wu, Jan Ernst
PCT/US2017/067766, filed December 2017
Application no. WO2019125453A1